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Plants, Volume 11, Issue 19 (October-1 2022) – 222 articles

Cover Story (view full-size image): DEFECTIVE EMBRYO AND MERISTERMS (DEM) genes are known to be required for cell division in plants. Consistent with a role in cell division, stable null mutations in the DEM1 gene of tomato are lethal and fail to develop beyond the seedling stage. Transposon mutagenesis with a maize Ds element in transgenic tomato has revealed additional roles of DEM1 during leaf development. The dem1 mutant sectors lacked differentiated adaxial cell types, including the photosynthetic palisade cells and upper epidermal cells. Somatic mutagenesis of DEM1 also caused defects in leaf blade development. Thus, DEM genes are not only required for cell division but also terminal differentiation of cell types during plant development. View this paper
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27 pages, 2597 KiB  
Article
Ethnobotanical Survey of Medicinal Plants Used in the Treatment of COVID-19 and Related Respiratory Infections in Ogbomosho South and North Local Government Areas, Oyo State, Nigeria
by Christiana Adeyinka Odebunmi, Tomi Lois Adetunji, Ademola Emmanuel Adetunji, Ahmed Olatunde, Oluwatosin Esther Oluwole, Idowu Ayodeji Adewale, Abdulrasak Opeyemi Ejiwumi, Chinwenwa Esther Iheme and Taiwo Opeyemi Aremu
Plants 2022, 11(19), 2667; https://doi.org/10.3390/plants11192667 - 10 Oct 2022
Cited by 14 | Viewed by 6100
Abstract
Coronavirus disease 2019 (COVID-19) has extensively spread worldwide with high mortality. Besides vaccination, the United States Food and Drug Administration approved only one oral medication as a treatment. Medicinal plants with antiviral and immunomodulatory properties could be explored as complementary treatments for COVID-19. [...] Read more.
Coronavirus disease 2019 (COVID-19) has extensively spread worldwide with high mortality. Besides vaccination, the United States Food and Drug Administration approved only one oral medication as a treatment. Medicinal plants with antiviral and immunomodulatory properties could be explored as complementary treatments for COVID-19. Ogbomosho is home to such plants traditionally used to treat infectious diseases in Nigeria, making it relevant in complementary medicine. An ethnobotanical survey of medicinal plants used to treat COVID-19 and related ailments, including cough and flu in Ogbomosho South and North Local Government Areas, Nigeria, was conducted using a semi-structured questionnaire. Information was obtained from 56 participants, consisting of different groups of individuals with native knowledge of medicinal plants, and ethnobotanical indices, including the frequency of citation (FC), relative frequency of citation (RFC), and fidelity level (FL) were computed. Twenty-six medicinal plants (17 families) were used to treat COVID-19, 31 (20 families) for cough, and 29 (19 families) for flu. The most cited plant was Zingiber officinale (FC = 10; RFC = 0.18; FL = 18%) for treating COVID-19, Citrus limon (FC = 13; RFC = 0.23; FL = 23%) for cough, and Zingiber officinale (FC = 9; RFC = 0.16; FL = 16%) for flu. Leaves were the most used plant part for treating COVID-19 and flu, while the bark was the most used for cough. Trees and herbs were the most cited plant growth forms. The herbal remedies were mostly prepared by decoction and infusion and were mainly administered orally. Further research should be conducted on the identified species for the scientific validation of their antiviral and immunomodulatory efficacies and safety for use. Full article
(This article belongs to the Special Issue Medicinal Plants: Advances in Phytochemistry and Ethnobotany)
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<p>Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Frequency of plant families used for treating COVID-19, cough, and flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Frequency of plant parts used for treating COVID-19, cough, and flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Growth forms of medicinal plants used for the treatment of COVID-19, cough, and flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Methods of preparing medicinal plant species used for the treatment of COVID-19, cough, and flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Mode of administration of medicinal plant species used for the treatment of COVID-19, cough, and flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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<p>Relative frequency of citation of top five plant species used for the treatment of (<b>a</b>) COVID-19, (<b>b</b>) cough, and (<b>c</b>) flu in Ogbomosho North and South Local Government Areas, Oyo State, Nigeria.</p>
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27 pages, 6550 KiB  
Review
Improving Yield and Yield Stability in Winter Rye by Hybrid Breeding
by Bernd Hackauf, Dörthe Siekmann and Franz Joachim Fromme
Plants 2022, 11(19), 2666; https://doi.org/10.3390/plants11192666 - 10 Oct 2022
Cited by 19 | Viewed by 12106
Abstract
Rye is the only cross-pollinating small-grain cereal. The unique reproduction biology results in an exceptional complexity concerning genetic improvement of rye by breeding. Rye is a close relative of wheat and has a strong adaptation potential that refers to its mating system, making [...] Read more.
Rye is the only cross-pollinating small-grain cereal. The unique reproduction biology results in an exceptional complexity concerning genetic improvement of rye by breeding. Rye is a close relative of wheat and has a strong adaptation potential that refers to its mating system, making this overlooked cereal readily adjustable to a changing environment. Rye breeding addresses the emerging challenges of food security associated with climate change. The systematic identification, management, and use of its valuable natural diversity became a feasible option in outbreeding rye only following the establishment of hybrid breeding late in the 20th century. In this article, we review the most recent technological advances to improve yield and yield stability in winter rye. Based on recently released reference genome sequences, SMART breeding approaches are described to counterbalance undesired linkage drag effects of major restorer genes on grain yield. We present the development of gibberellin-sensitive semidwarf hybrids as a novel plant breeding innovation based on an approach that is different from current methods of increasing productivity in rye and wheat. Breeding of new rye cultivars with improved performance and resilience is indispensable for a renaissance of this healthy minor cereal as a homogeneous commodity with cultural relevance in Europe that allows for comparatively smooth but substantial complementation of wheat with rye-based diets, supporting the necessary restoration of the balance between human action and nature. Full article
(This article belongs to the Special Issue Genetic Basis of Yield and Yield Stability in Major Crops)
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<p>(<b>A</b>) Dehiscent anthers of a rye head. (<b>B</b>) Rye pollen dispersed by wind throughout a population.</p>
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<p>Production of elite rye inbred lines by bagging.</p>
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<p>Inbred lines enable to assess and manage the genetic diversity of rye.</p>
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<p>Production of experimental P-type CMS hybrids between foliar isolation walls.</p>
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<p>(<b>A</b>) <span class="html-italic">C. purpurea</span> infects the ovary and replaces the rye grain with a dark fungal body, the ergot sclerotium. (<b>B</b>) The gene <span class="html-italic">Rfp1</span> results in restoration of male fertility in P-type CMS rye hybrids and increases ergot defense. (<b>C</b>) Male sterile plants in P-type CMS rye hybrids with a restorer index of ~50% increase yield potential due to a female advantage but weaken the ergot defense.</p>
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<p>Ergot susceptibility and grain yield scores of the 30 entries of the German Descriptive Variety List 2022. Entries are represented by their year of release. The description of both traits is based on a 1–9 scale. A high figure indicates that the variety expresses the trait to a high degree, a low figure indicates that a variety shows the traits to a low degree, and 5 represents medium expression. (<b>G</b>) G-type CMS hybrid, (<b>P</b>) P-type CMS hybrids. <span class="html-italic">Rfp1</span>/<span class="html-italic">rfp1</span>: restorer/non-restorer allele at the <span class="html-italic">Rfp1</span> locus. Data source [<a href="#B20-plants-11-02666" class="html-bibr">20</a>].</p>
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<p>Ergot severity in rye upon natural infection detected in samples from open-pollinated (OPV) and hybrid cultivars merchandized without (<span class="html-italic">rfp1 rfp1</span>) and with (<span class="html-italic">Rfp1 rfp1</span>) the restorer gene <span class="html-italic">Rfp1</span> across 54 environments (location x year combinations). The number of environments varied between 8 (2019) and 15 (2020). The threshold of 200 mg ergot sclerotia/kg harvest valid from 1 July 2024 is indicated in red. Data source [<a href="#B89-plants-11-02666" class="html-bibr">89</a>].</p>
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<p>Flow chart illustrating a reciprocal recurrent selection (RRS) scheme in rye. (<b>A</b>) Random mating germplasm resources serve as an upgrade in genetic diversity. The coloured circles represent different alleles that are systematically captured and introgressed in both heterotic gene pools. (<b>B</b>) Improvement of the breeding population is based on self-fertile rye inbred lines as highly versatile tools for testing the effect of genes and gene combinations on plant phenotypes. Knowledge how the genome builds, maintains, and operates rye gained for example by Genome-wide Association Studies (GWAS) allows to increase selection efficiency for traits such as thousand-grain weight (TGW) by marker-assisted selection (MAS), as already realized for <span class="html-italic">Dominant dwarf 1</span> (<span class="html-italic">Ddw1</span>) and Restorer-of-fertility genes for Pampa CMS (<span class="html-italic">Rfp</span>). (<b>C</b>) Hybrid breeding enables to select crossing partners on a rational basis. Testcrosses are established between isolation walls or as topcrosses using cytoplasmic male sterility as a condition for large scale seed production, as CMS tester (T<sub>CMS</sub>) genotypes of rye are unable to produce functional pollen. (<b>D</b>) The general combining ability (GCA) of parental genotypes is estimated based on testcross performance in four (1. GCA test) to ten (2. GCA test) target environments of rye cultivation. (<b>E</b>) The generation and evaluation of restorer synthetics (Syn<span class="html-italic"><sub>Rf</sub></span>) from crosses between pollinator inbred lines is necessary to neutralize the inbreeding depression on pollen production that rye is suffering as a cross-pollinating crop. (<b>F</b>) Certified seed is produced in a technical mixture of 95% CMS single-cross seed parent and 5% restorer synthetic. The thickness of lines mirrors a decreasing number of entries as a result of phenotypic selection.</p>
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<p>Physical position of cross-validated SNPs in protein coding sequences and intergenic regions of the ‘Lo7’ genome assembly detected in the GWAS for grain yield (red) and thousand-grain weight (green). The positions of both self-incompatibility loci, <span class="html-italic">S</span> and <span class="html-italic">Z</span>, the restorer-of-fertility locus <span class="html-italic">Rfp1</span> depicting the rye’s unique reproduction biology, and the GA-sensitive dwarfing gene <span class="html-italic">Ddw1</span> are given as well. For Lo7 orthologs of cloned rice QTL the corresponding rice gene symbols were adapted to rye. The positions of the markers in the Lo7 physical map are given in Mbp. The horizontal bars and QTL symbols indicate the position of grain yield (<span class="html-italic">QGyd</span>), and thousand-grain weight (<span class="html-italic">QTgw</span>). Data source: [<a href="#B60-plants-11-02666" class="html-bibr">60</a>].</p>
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<p>Survey on the first 48 gibberellin-sensitive semidwarf P-type CMS rye hybrids.</p>
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<p>Genetic growth regulation by the major dwarfing gene <span class="html-italic">Ddw1</span> confers pronounced lodging resistance. The displacement of culms from an upright position of the near-isogenic conventional experimental hybrids in the foreground subsequent to extreme precipitation of 200 L/m<sup>2</sup> could not be prevented although they were treated with chemical plant growth regulators.</p>
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4 pages, 1889 KiB  
Correction
Correction: Gajurel et al. Production and Secretion of Isowighteone in Hairy Root Cultures of Pigeon Pea (Cajanus cajan) Co-Treated with Multiple Elicitors. Plants 2022, 11, 834
by Gaurav Gajurel, Luis Nopo-Olazabal, Emily Hendrix and Fabricio Medina-Bolivar
Plants 2022, 11(19), 2665; https://doi.org/10.3390/plants11192665 - 10 Oct 2022
Cited by 1 | Viewed by 1343
Abstract
In the original publication [...] Full article
(This article belongs to the Special Issue Specialized Metabolites in Root cultures)
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<p>Purification of isowighteone. (<b>A</b>) HPLC chromatogram of ethyl acetate extract from the medium of pigeon pea hairy root culture. (<b>B</b>) HPLC chromatogram of purified isowighteone with its UV spectrum and chemical structure. All chromatograms were monitored at 260 nm. (<b>C</b>) HPLC-PDA-electrospray ionization-MS<span class="html-italic"><sup>2</sup></span> analysis of isowighteone (left: MS; right: MS<sup>2</sup>).</p>
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<p>Time course of isowighteone yield in the elicited culture medium of 12-day-old pigeon pea hairy root cultures. (<b>A</b>) Change in phenotype after elicitor treatment. (<b>B</b>) HPLC chromatogram of culture medium extract after elicitor treatment for different time points. All chromatograms were monitored at 260 nm. (<b>C</b>) Comparison of isowighteone yield in the culture medium of hairy root cultures elicited for different time points. Yields are expressed in mg/L. Each bar represents the average of three biological replicates. Error bar represents standard deviation. Statistical analysis was performed using one-way ANOVA with Tukey’s multiple comparisons test. The lower-case letters above the column represent significant (between different letters) or non-significant (between the same letter) statistical differences. (Significance level between a and b, <span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Comparison of isowighteone yield in hairy root tissues of 12-day-old pigeon pea hairy roots. HPLC chromatogram of (<b>A</b>) non-elicited hairy root tissue extracted using 70% ethanol; (<b>B</b>) 144 h elicited hairy roots extracted using 70% ethanol; and (<b>C</b>) 144 h elicited hairy roots extracted using ethyl acetate. All chromatograms were monitored at 260 nm.</p>
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34 pages, 22790 KiB  
Review
Pea Breeding for Resistance to Rhizospheric Pathogens
by Osman Z. Wohor, Nicolas Rispail, Chris O. Ojiewo and Diego Rubiales
Plants 2022, 11(19), 2664; https://doi.org/10.3390/plants11192664 - 10 Oct 2022
Cited by 14 | Viewed by 4996
Abstract
Pea (Pisum sativum L.) is a grain legume widely cultivated in temperate climates. It is important in the race for food security owing to its multipurpose low-input requirement and environmental promoting traits. Pea is key in nitrogen fixation, biodiversity preservation, and nutritional [...] Read more.
Pea (Pisum sativum L.) is a grain legume widely cultivated in temperate climates. It is important in the race for food security owing to its multipurpose low-input requirement and environmental promoting traits. Pea is key in nitrogen fixation, biodiversity preservation, and nutritional functions as food and feed. Unfortunately, like most crops, pea production is constrained by several pests and diseases, of which rhizosphere disease dwellers are the most critical due to their long-term persistence in the soil and difficulty to manage. Understanding the rhizosphere environment can improve host plant root microbial association to increase yield stability and facilitate improved crop performance through breeding. Thus, the use of various germplasm and genomic resources combined with scientific collaborative efforts has contributed to improving pea resistance/cultivation against rhizospheric diseases. This improvement has been achieved through robust phenotyping, genotyping, agronomic practices, and resistance breeding. Nonetheless, resistance to rhizospheric diseases is still limited, while biological and chemical-based control strategies are unrealistic and unfavourable to the environment, respectively. Hence, there is a need to consistently scout for host plant resistance to resolve these bottlenecks. Herein, in view of these challenges, we reflect on pea breeding for resistance to diseases caused by rhizospheric pathogens, including fusarium wilt, root rots, nematode complex, and parasitic broomrape. Here, we will attempt to appraise and harmonise historical and contemporary knowledge that contributes to pea resistance breeding for soilborne disease management and discuss the way forward. Full article
(This article belongs to the Special Issue Regulation of Crop Quality and Stress Responses)
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<p>Rhizosphere–microbiota configuration in pea roots showcasing a multitude of interactions. Represented here are mutual associations such as rhizobia bacteria and host pea nodules—fixing nitrogen for pea growth while pea maintains bacteria nourishment, and beneficial associations such as earthworms soil burrow activities—improving soil aeration and fertility for pea, and antagonistic associations such as parasitic broomrapes and parasitic nematodes affect pea production. (Illustration made in ©BioRender—<a href="http://biorender.com" target="_blank">biorender.com</a>).</p>
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<p>A pictorial presentation of fusarium wilt life cycle.</p>
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<p>Microscopic view of (<b>I</b>) female <span class="html-italic">M. incognita</span>, (<b>II</b>) male <span class="html-italic">M. incognita</span>, (<b>III</b>) juvenile <span class="html-italic">M. incognita</span> (source P. Castillo, IAS-CSIC) collected from (<b>IV</b>) galled root symptoms on soybean plant (O.Z. Wohor IAS-CSIC).</p>
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<p>Broomrape infection life cycle, exhibiting below- and above-ground scenarios. (Illustration made in ©BioRender—<a href="http://biorender.com" target="_blank">biorender.com</a>).</p>
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<p>A mini-rhizotron set up for <span class="html-italic">O. crenata</span> screening, indicating pre-germination of host plant seeds and preconditioning of parasitic seeds to merger for association and evaluation. (Illustration made in ©BioRender—<a href="http://biorender.com" target="_blank">biorender.com</a>).</p>
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25 pages, 9253 KiB  
Article
Leaf Count Aided Novel Framework for Rice (Oryza sativa L.) Genotypes Discrimination in Phenomics: Leveraging Computer Vision and Deep Learning Applications
by Mukesh Kumar Vishal, Rohit Saluja, Devarshi Aggrawal, Biplab Banerjee, Dhandapani Raju, Sudhir Kumar, Viswanathan Chinnusamy, Rabi Narayan Sahoo and Jagarlapudi Adinarayana
Plants 2022, 11(19), 2663; https://doi.org/10.3390/plants11192663 - 10 Oct 2022
Cited by 3 | Viewed by 2868
Abstract
Drought is a detrimental factor to gaining higher yields in rice (Oryza sativa L.), especially amid the rising occurrence of drought across the globe. To combat this situation, it is essential to develop novel drought-resilient varieties. Therefore, screening of drought-adaptive genotypes is [...] Read more.
Drought is a detrimental factor to gaining higher yields in rice (Oryza sativa L.), especially amid the rising occurrence of drought across the globe. To combat this situation, it is essential to develop novel drought-resilient varieties. Therefore, screening of drought-adaptive genotypes is required with high precision and high throughput. In contemporary emerging science, high throughput plant phenotyping (HTPP) is a crucial technology that attempts to break the bottleneck of traditional phenotyping. In traditional phenotyping, screening significant genotypes is a tedious task and prone to human error while measuring various plant traits. In contrast, owing to the potential advantage of HTPP over traditional phenotyping, image-based traits, also known as i-traits, were used in our study to discriminate 110 genotypes grown for genome-wide association study experiments under controlled (well-watered), and drought-stress (limited water) conditions, under a phenomics experiment in a controlled environment with RGB images. Our proposed framework non-destructively estimated drought-adaptive plant traits from the images, such as the number of leaves, convex hull, plant–aspect ratio (plant spread), and similarly associated geometrical and morphological traits for analyzing and discriminating genotypes. The results showed that a single trait, the number of leaves, can also be used for discriminating genotypes. This critical drought-adaptive trait was associated with plant size, architecture, and biomass. In this work, the number of leaves and other characteristics were estimated non-destructively from top view images of the rice plant for each genotype. The estimation of the number of leaves for each rice plant was conducted with the deep learning model, YOLO (You Only Look Once). The leaves were counted by detecting corresponding visible leaf tips in the rice plant. The detection accuracy was 86–92% for dense to moderate spread large plants, and 98% for sparse spread small plants. With this framework, the susceptible genotypes (MTU1010, PUSA-1121 and similar genotypes) and drought-resistant genotypes (Heera, Anjali, Dular and similar genotypes) were grouped in the core set with a respective group of drought-susceptible and drought-tolerant genotypes based on the number of leaves, and the leaves’ emergence during the peak drought-stress period. Moreover, it was found that the number of leaves was significantly associated with other pertinent morphological, physiological and geometrical traits. Other geometrical traits were measured from the RGB images with the help of computer vision. Full article
(This article belongs to the Topic Advanced Breeding Technology for Plants)
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<p>A plant-to-sensor type, high throughput plant phenotyping facility at Nanaji Deshmukh Plant Phenomics Centre (NDPPC), Indian Council of Agricultural Research–Indian Agricultural Research Institute, and their different components for the experimental setup, representing a general workflow: (<b>a</b>) NDPPC, external view; (<b>b</b>) rice plants in pots, transplanted inside the climate-controlled greenhouse; (<b>c</b>) rice plants are transported on carriages to the imaging chamber; (<b>d</b>) automatic imaging chambers, each chamber is equipped with a different sensor of interest, in this case, RGB; (<b>e</b>) monitoring and work station equipped with software; (<b>f</b>) image of a rice plant, top view and side view of the rice plant after imaging.</p>
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<p>Rice plants images: side view (SV) and top view (TV) at different growth stages; TS—time snap, after inducing drought stress. TS-4 is the peak drought stress, and TS5 is after rewatering of the plants.</p>
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<p>Schematic workflow of the framework for leaf counting, image-based traits estimations, and grouping of the genotypes.</p>
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<p>Rice plant at the vegetative stage depicting leaf distribution in a rice plant: (<b>a</b>) leaves are sparsely distributed and less overlapping at the upper part of the plants, whereas, (<b>b</b>) just above the ground, near the sheath area, the leaves are thin, generally hidden, and cluttered.</p>
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<p>Annotation of leaf tips in a rice plant, using LeafTipMarker software.</p>
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<p>(<b>a</b>) Leaf tip, bounding box annotation for the leaf tip, (<b>b</b>) labelling of the leaf tips in a rice plant, (<b>c</b>) leaf tip at the center of the bounding box coordinates, (<b>d</b>) temporal increase in the number of leaves, and thus convex hull area (CHA); the number of leaves per convex hull area is a potential ‘temporal trait’ to understand the plant type, growth and stress behavior.</p>
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<p>(<b>a</b>) Comparison of biomass (fresh weight) of the genotypes in drought and control conditions, and (<b>b</b>) stem and leaf contribution by percentage in biomass, for fresh weight.</p>
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<p>Training the model at different iterations of (<b>a</b>) 100, (<b>b</b>) 1K, (<b>c</b>) 10K, (<b>d</b>) 30K, (<b>e</b>) 50 K and (<b>f</b>) 56K iteration, and each iteration’s result for detection and prediction of leaf tip, a tiny object.</p>
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<p>Convex hull and convex hull area estimation by predicting leaf tip and its coordinate without removing the background, and tip coordinates are used for convex hull estimation. Here, a genotype in drought and control conditions: in control, a large number of leaf settings are observed, compared with the stressed plant; also, no leaf rolling and a large convex hull area in the control plant is observed, compared with the drought-stressed plant with a smaller number of leaves, leaf rolling and comparatively less convex hull area.</p>
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<p>Correlation among different quantitative traits in (<b>a</b>) control or well-watered condition and (<b>b</b>) drought treatment for rice plant.</p>
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<p>The number of leaves is an important trait associated with biomass in rice. The images show one of the rice phenotypes, BAM 2614, in: (<b>a</b>) control treatment, and (<b>b</b>) drought treatment.</p>
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<p>Different parameters, geometrical traits in the rice plant estimated from the top view, and leaf emergence in rice in control and stress, drought condition. More leaf emergence in control conditions compared to drought conditions was observed.</p>
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<p>Scatter plot for the number of leaves vs. geometrical properties (convex hull and horizontal spread of the plant); and among geometrical properties of the plant.</p>
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<p>Grouping of genotypes based on the number of leaves, and the number of leaves that emerged between the initial days of induced stress and peak drought stress.</p>
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15 pages, 2627 KiB  
Article
Striving for Stability in the Dough Mixing Quality of Spring Wheat under the Influence of Prolonged Heat and Drought
by Sbatie Lama, Marina Kuzmenkova, Pernilla Vallenback and Ramune Kuktaite
Plants 2022, 11(19), 2662; https://doi.org/10.3390/plants11192662 - 10 Oct 2022
Cited by 1 | Viewed by 1733
Abstract
The effects of prolonged heat and drought stress and cool growing conditions on dough mixing quality traits of spring wheat (Triticum aestivum L.) were studied in fifty-six genotypes grown in 2017 and 2018 in southern Sweden. The mixing parameters evaluated by mixograph [...] Read more.
The effects of prolonged heat and drought stress and cool growing conditions on dough mixing quality traits of spring wheat (Triticum aestivum L.) were studied in fifty-six genotypes grown in 2017 and 2018 in southern Sweden. The mixing parameters evaluated by mixograph and the gluten protein characteristics studied by size exclusion high-performance liquid chromatography (SE-HPLC) in dough were compared between the two growing seasons which were very different in length, temperature and precipitation. The genotypes varying in gluten strength between the growing seasons (≤5%, ≤12%, and ≤17%) from three groups (stable (S), moderately stable (MS), and of varying stability (VS)) were studied. The results indicate that most of the mixing parameters were more strongly impacted by the interaction between the group, genotype, and year than by their individual contribution. The excessive prolonged heat and drought did not impact the buildup and mixing time expressed as peak time and time 1–2. The gluten polymeric proteins (unextractable, %UPP; total unextractable, TOTU) and large unextractable monomeric proteins (%LUMP) were closely associated with buildup and water absorption in dough. Major significant differences were found in the dough mixing parameters between the years within each group. In Groups S and MS, the majority of genotypes showed the smallest variation in the dough mixing parameters responsible for the gluten strength and dough development between the years. The mixing parameters such as time 1–2, buildup, and peak time (which were not affected by prolonged heat and drought stress) together with the selected gluten protein parameters (%UPP, TOTU, and %LUMP) are essential components to be used in future screening of dough mixing quality in wheat in severe growing environments. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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<p>Differences (subtracted between the years) in the dough mixing parameters of 56 spring wheat genotypes grown in the cool (2017) and heat–drought (2018) years: peak time (<b>A</b>), initial width (<b>B</b>), initial build width (<b>C</b>), and water absorption (<b>D</b>). Peak time is expressed as minutes (min.), initial width and initial build width are expressed as mixing torque in N·m, water absorption is expressed in ml/10 g of flour. Blue dots represent mean values.</p>
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<p>Principal component analysis (PCA) plot of mixograph parameters in dough and protein composition parameters in flour of 56 spring wheat genotypes grown in cool (2017) and heat–drought (2018) years evaluated by SE-HPLC; protein (%), ash (%), and flour moisture (%) were determined in flour by NIT (taken from Lama et al., 2022).</p>
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<p>Spearman’s rank correlation matrix and hierarchical clustering of results (dendogram) based on complete linkage method for the gluten protein parameters obtained by SE-HPLC; flour protein (%), moisture (%), and ash (%) determined by NIT (taken from Lama et al. 2022) and 17 dough mixing parameters of 56 spring wheat genotypes grown in cool (2017) and heat–drought (2018) years. ***, **, and * indicate significance at <span class="html-italic">p</span> &lt; 0.001, <span class="html-italic">p</span> &lt; 0.01, and <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Total amount of monomeric proteins (TMP) (<b>A</b>) and total amount of polymeric proteins (TPP) (<b>B</b>) in dough of wheat samples shown in Groups S, MS, and VS of 30 spring wheat genotypes grown in cool (2017) and heat–drought (2018) years.</p>
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<p>Unextractable polymeric protein (%UPP) in wheat dough samples in Groups S, MS, and VS of 30 spring wheat genotypes grown in cool (2017) and heat–drought (2018) years.</p>
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<p>Growing conditions of 56 wheat genotypes grown in two varying environments used in this study; average temperature (°C) and precipitation (mm) during the wheat growing seasons (C—cool, 2017; HT—heat–drought, 2018) expressed as number of days.</p>
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<p>Mixograph curve for wheat genotype Mirakel grown in the cool year (2017).</p>
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13 pages, 4909 KiB  
Article
Genome-Wide Identification of the NAC Transcription Factors in Gossypium hirsutum and Analysis of Their Responses to Verticillium wilt
by Shimei Bai, Qingqing Niu, Yuqing Wu, Kunling Xu, Meng Miao and Jun Mei
Plants 2022, 11(19), 2661; https://doi.org/10.3390/plants11192661 - 10 Oct 2022
Cited by 7 | Viewed by 2147
Abstract
The NAC transcription factors (NACs) are among the largest plant-specific gene regulators and play essential roles in the transcriptional regulation of both biotic and abiotic stress responses. Verticillium wilt of cotton caused by Verticillium dahliae (V. dahliae) is a destructive soil-borne [...] Read more.
The NAC transcription factors (NACs) are among the largest plant-specific gene regulators and play essential roles in the transcriptional regulation of both biotic and abiotic stress responses. Verticillium wilt of cotton caused by Verticillium dahliae (V. dahliae) is a destructive soil-borne disease that severely decreases cotton yield and quality. Although NACs constitute a large family in upland cotton (G. hirsutum L.), there is little systematic investigation of the NACs’ responsive to V. dahliae that has been reported. To further explore the key NACs in response to V. dahliae resistance and obtain a better comprehension of the molecular basis of the V. dahliae stress response in cotton, a genome-wide survey was performed in this study. To investigate the roles of GhNACs under V. dahliae induction in upland cotton, mRNA libraries were constructed from mocked and infected roots of upland cotton cultivars with the V. dahliae-sensitive cultivar “Jimian 11” (J11) and V. dahliae-tolerant cultivar “Zhongzhimian 2” (Z2). A total of 271 GhNACs were identified. Genome analysis showed GhNACs phylogenetically classified into 12 subfamilies and distributed across 26 chromosomes and 20 scaffolds. A comparative transcriptome analysis revealed 54 GhNACs were differentially expressed under V. dahliae stress, suggesting a potential role of these GhNACs in disease response. Additionally, one NAC090 homolog, GhNAC204, could be a positive regulator of cotton resistance to V. dahliae infection. These results give insight into the GhNAC gene family, identify GhNACs’ responsiveness to V. dahliae infection, and provide potential molecular targets for future studies for improving V. dahliae resistance in cotton. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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<p>Phylogenetic tree of the 271 GhNAC proteins. Multiple sequence alignment of NAC domain sequences of <span class="html-italic">G. hirsutum</span> L. and <span class="html-italic">Arabidopsis</span> was performed using Clustal X2. MEGA 7.0 was used to construct the neighbor-joining (NJ) tree with 1000 bootstrap replicates. Various colors indicate different groups of GhNACs.</p>
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<p>Chromosomal locations of the <span class="html-italic">GhNACs</span>. Scale bar on the left indicates the chromosome lengths (Mb). The chromosome numbers of <span class="html-italic">G. hirsutum</span> L. (A01–A13, D01–D13) are indicated above each vertical bar.</p>
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<p>Circos diagram of the <span class="html-italic">GhNAC</span> duplication pairs in <span class="html-italic">G. hirsutum</span> L. The segmental duplication gene pairs were linked with green lines. The tandem duplicates are denoted by red lines. Scale bar marked on the chromosome indicating chromosome lengths (Mb).</p>
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<p>Expression profiling of <span class="html-italic">GhNACs</span> in response to <span class="html-italic">V. dahliae</span> stress. Hierarchical clustering of differentially expressed <span class="html-italic">GhNACs</span> in J11 (<b>A</b>) and Z2 (<b>B</b>). Red and blue colors show upregulation and downregulation, respectively. The original expression values of the <span class="html-italic">GhNACs</span> were normalized using Z-score. The signal intensity ranges from −1.5 to 1.5, as the corresponding color also changes from blue to red.</p>
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<p>Subcellular localization and transcriptional activity identification of GhNAC204. (<b>A</b>) Localization of GhNAC204 in <span class="html-italic">N. benthamiana</span> leaves. GhNAC204 was detected on the nuclei; 35 S: GFP as control was detected on the cytoplasm and nuclei; scale bar is 1 mm. (<b>B</b>) GhNAC204 has transcriptional activation activity. The GhNAC204-pGBKT7-positive yeast strains’ normal growth in yeast three-deficient medium SD/-Trp/-His/-Ade. SD/-Trp: yeast single deficiency medium; SD/-Trp/-His/Ade: yeast three deficiency medium; pGBKT7: negative control.</p>
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<p>GhNAC204 could be a positive regulator in cotton resistance to <span class="html-italic">V. dahliae</span> infection. (<b>A</b>) Detection of <span class="html-italic">GhNAC204</span> silencing efficiency by qRT-PCR. <span class="html-italic">GhUBQ7</span> was used as an internal reference gene and data are means ± SD from three biological replicates; asterisks indicate significant differences when compared with <span class="html-italic">TRV:00</span> (<span class="html-italic">p</span> &lt; 0.05). (<b>B</b>) Silencing of <span class="html-italic">GhNAC204</span> leads to severe disease symptoms including leaf chlorosis and wilting; bar = 3.5 cm. (<b>C</b>) Silencing of <span class="html-italic">GhNAC204</span> leads to more numbers of fungal colonies in stem segments compared with <span class="html-italic">TRV:00</span>; upper panel, stem inspection vascular discoloration, bar = 0.3 cm; bottom panel, recovery assay, bar = 2 cm. Photos were taken at 28 days after V. <span class="html-italic">dahliae</span> inoculation (40 days after VIGS).</p>
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20 pages, 762 KiB  
Review
Receptor-like Kinases (LRR-RLKs) in Response of Plants to Biotic and Abiotic Stresses
by Aigerim Soltabayeva, Nurbanu Dauletova, Symbat Serik, Margulan Sandybek, John Okoth Omondi, Assylay Kurmanbayeva and Sudhakar Srivastava
Plants 2022, 11(19), 2660; https://doi.org/10.3390/plants11192660 - 10 Oct 2022
Cited by 47 | Viewed by 5700
Abstract
Plants live under different biotic and abiotic stress conditions, and, to cope with the adversity and severity, plants have well-developed resistance mechanisms. The mechanism starts with perception of the stimuli followed by molecular, biochemical, and physiological adaptive measures. The family of LRR-RLKs (leucine-rich [...] Read more.
Plants live under different biotic and abiotic stress conditions, and, to cope with the adversity and severity, plants have well-developed resistance mechanisms. The mechanism starts with perception of the stimuli followed by molecular, biochemical, and physiological adaptive measures. The family of LRR-RLKs (leucine-rich repeat receptor-like kinases) is one such group that perceives biotic and abiotic stimuli and also plays important roles in different biological processes of development. This has been mostly studied in the model plant, Arabidopsis thaliana, and to some extent in other plants, such as Solanum lycopersicum, Nicotiana benthamiana, Brassica napus, Oryza sativa, Triticum aestivum, Hordeum vulgare, Brachypodium distachyon, Medicago truncatula, Gossypium barbadense, Phaseolus vulgaris, Solanum tuberosum, and Malus robusta. Most LRR-RLKs tend to form different combinations of LRR-RLKs-complexes (dimer, trimer, and tetramers), and some of them were observed as important receptors in immune responses, cell death, and plant development processes. However, less is known about the function(s) of LRR-RLKs in response to abiotic and biotic stresses. Here, we give recent updates about LRR-RLK receptors, specifically focusing on their involvement in biotic and abiotic stresses in the model plant, A. thaliana. Furthermore, the recent studies on LRR-RLKs that are homologous in other plants is also reviewed in relation to their role in triggering stress response processes against biotic and abiotic stimuli and/or in exploring their additional function(s). Furthermore, we present the interactions and combinations among LRR-RLK receptors that have been confirmed through experiments. Moreover, based on GENEINVESTIGATOR microarray database analysis, we predict some potential LRR-RLK genes involved in certain biotic and abiotic stresses whose function and mechanism may be explored. Full article
(This article belongs to the Special Issue 10th Anniversary of Plants—Recent Advances and Perspectives)
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<p><b>Scheme of signaling pathways triggered by biotic- and abiotic-tested LRR-RLKs and crosstalk among them.</b> The LRR-RLKs regulate various plant processes, including growth, development, and responses to biotic and abiotic stresses. After perceiving abiotic and/or biotic stimuli by the LRR-RLKs, activation of diverse signaling, such as MAPK activation (BAK1, PEPR1/2, SERK4), Ca<sup>2+</sup> influx (BAK1), reactive oxygen species (ROS) production (RPK1, BAK1, RLK7, SOBIR1), BR signaling (BRI1, SERK2, SERK4), ABA signaling (KIN7, PXL2, RPK1, BRI1, SERK2, BAK1), jasmonate (JA), and salicylate (SA) (PEPR1/2, LRR1, PSKR1) occurs. Some LRR-RLKs may activate several signaling pathways depending on the type of stimuli: RPK1-ABA and ROS pathways; BRI and SERK2—ABA and BR pathway; PEPR1/2—MAPK and JA/SA pathway, SERK4—BR and MAPK pathway, BAK1-BR signaling, Ca<sup>2+</sup> and MAPK pathways. Senescence may be associated with SARK and BIR1. Defense mechanisms against biotic stress stimuli are mediated by JA, SA, ROS, and MAPK pathways, and also additionally followed by LRR-RLKs: NIK1, EFR, RLP23, RLK902, NIK3, and FSL2. Yellow color indicates tested abiotic stimuli, blue color is for tested biotic stimuli, and green for both stimuli.</p>
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12 pages, 273 KiB  
Article
Improved Bioherbicidal Efficacy of Bipolaris eleusines through Herbicide Addition on Weed Control in Paddy Rice
by Jianping Zhang, Guifang Duan, Shuang Yang, Liuqing Yu, Yongliang Lu, Wei Tang and Yongjie Yang
Plants 2022, 11(19), 2659; https://doi.org/10.3390/plants11192659 - 10 Oct 2022
Cited by 4 | Viewed by 1987
Abstract
Bipolaris eleusines was mixed with herbicides to improve the control of barnyardgrass (Echinochloa crus-galli), a noxious weed in rice fields. The compatibility of B. eleusines with herbicides was evaluated for toxic effects on spore germination and mycelium growth in vitro tests, [...] Read more.
Bipolaris eleusines was mixed with herbicides to improve the control of barnyardgrass (Echinochloa crus-galli), a noxious weed in rice fields. The compatibility of B. eleusines with herbicides was evaluated for toxic effects on spore germination and mycelium growth in vitro tests, and varied effects were observed with different chemical products. Briefly, 25 g/L penoxsulam OD plus 10% bensulfuron-methyl WP were much more compatible with B. eleusines, and there was no inhibition of spore germination but the promotion of mycelium growth of B. eleusines at all treatment rates. Under greenhouse conditions, the coefficient of the specificity of B. eleusines conidial agent was determined as 3.91, closer to the herbicidal control of 2.89, showing it is highly specific between rice and barnyardgrass. Field experiments in 2011 and 2012 showed that B. eleusines conidial agent displayed good activity on barnyardgrass, monochoria [Monochoria vaginalis (Burm.f.) Presl. Ex Kunth.], and small-flower umbrella sedge (Cyperus difformis L.) and had no negative impact on the rice plant. It also reduced the loss of rice yield when compared with the non-treated control and could make this pathogen a conidial agent for commercial bioherbicidal development in the future. Full article
(This article belongs to the Special Issue Bioherbicide Development for Weed Control)
19 pages, 6983 KiB  
Article
Photosynthetic Apparatus of Hydrocharis morsus-ranae in Different Solar Lighting
by Elizabeth Kordyum, Oleksandr Polishchuk, Yuri Akimov and Vasyl Brykov
Plants 2022, 11(19), 2658; https://doi.org/10.3390/plants11192658 - 10 Oct 2022
Viewed by 1882
Abstract
Hydrocharis morsus-ranae is a free-floating species growing in lakes and slow-flowing rivers near the shore in Europe and Western Asia, and as an invasive plant in the USA and Canada. Light-requiring plants of this species can also grow in the shade, up to [...] Read more.
Hydrocharis morsus-ranae is a free-floating species growing in lakes and slow-flowing rivers near the shore in Europe and Western Asia, and as an invasive plant in the USA and Canada. Light-requiring plants of this species can also grow in the shade, up to about 30% of full sunlight. In this paper we present the data about the photosynthetic apparatus of sunny and shady H. morsus-ranae plants grown in the sun and in the shade in nature. Methods of light and transmission electron microscopy, biochemistry, chlorophyll fluorescence induction as well as the principal component analysis were used. It was found that leaves of plants growing in shade differed from those in the sun with such traits as thickness of a blade, palisade and spongy parenchyma, ultrastructure of chloroplasts, and quantum efficiency of photosynthetic electron transport, the content of chlorophylls and carotenoids, anthocyanins and phenilpropanoids. By these traits, H. morsus-ranae shady plants are similar with shade-bearing plants that indicates their adaptation to light intensity lowering. The ordination plots (PCA) suggested a clear structural and functional shift of plants growing in different lighting showing relationship to light changes in the natural environment. Thus, our results displayed the high phenotypic plasticity of the H. morsus-ranae photosynthetic apparatus, which ensures its acclimation to changing light environment and wide distribution of this species. Full article
(This article belongs to the Special Issue Plant Ecophysiological Adaptation to Environmental Stress)
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<p>Plants of <span class="html-italic">Hydrocharis morsus-ranae</span> in the shade of <span class="html-italic">Phragmites australis</span> (<b>a</b>) and in the sun (<b>b</b>) in the wide part of the arm of the Dnipro River near the Venetian Island.</p>
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<p>Hand-made cross-sections of <span class="html-italic">Hydrocharis morsus-ranae</span> young (<b>a</b>,<b>b</b>) and mature (<b>c</b>,<b>d</b>) leaves in the shade (<b>a</b>,<b>c</b>) and in the sun (<b>b</b>,<b>d</b>) without staining. Anthocyanin spots are seen in cells of the subepidermal layer of adaxial and abaxial leaf surfaces. Histograms of a leaf blade, palisade and spongy parenchyma thickness (<b>e</b>,<b>f</b>) and area of intercellular spaces (IS) in the spongy parenchyma (<b>g</b>). Different letters on <a href="#plants-11-02658-f002" class="html-fig">Figure 2</a>g indicate significant difference in IS area (one-way ANOVA, <span class="html-italic">p</span> &lt; 0.05). Scale bar—100 µm.</p>
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<p>Fragments of palisade parenchyma cells of mature leaves of <span class="html-italic">Hydrocharis morsus-ranae</span> in the shade (<b>a</b>) and in the sun (<b>b</b>–<b>d</b>). Aggregations of chloroplasts, mitochondria and peroxisomes (<b>a</b>,<b>b</b>). Mitochondria and a peroxisome in chloroplasts’ “pockets” (<b>c</b>,<b>d</b>). Abbreviations: Ch–chloroplast, M–mitochondrium, P–peroxisome. Scale bar: (<b>a</b>,<b>c</b>) 0.2 µm, (<b>b</b>,<b>d</b>) 0.5 µm.</p>
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<p>General view of chloroplasts (<b>a</b>,<b>c</b>) and chloroplast fragments with grana consisting of different number of thylakoids (<b>b</b>,<b>d</b>) from palisade parenchyma cells of young leaves of <span class="html-italic">Hydrocharis morsus-ranae</span> in the shade (<b>a</b>,<b>b</b>) and in the sun (<b>c</b>,<b>d</b>). Abbreviations: G—granum. Scale bar: (<b>a</b>,<b>c</b>)—1 µm, (<b>b</b>,<b>d</b>)—0.2 nm.</p>
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<p>General view of chloroplasts with grana, starch grains and plastoglobules (<b>a</b>,<b>c</b>) and chloroplast fragments with grana consisting of different number of thylakoids (<b>b</b>,<b>d</b>) from palisade parenchyma cells of mature leaves of <span class="html-italic">Hydrocharis morsus-ranae</span> in the shade (<b>a</b>,<b>b</b>) and in the sun (<b>c</b>,<b>d</b>). Abbreviations: SG—starch grain, G—granum, Pl—plastoglobule. Scale bar: (<b>a</b>,<b>c</b>)—1 µm, (<b>b</b>,<b>d</b>)—0.2 nm.</p>
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<p>Anthocyanins/chlorophylls (<span class="html-italic">a</span> + <span class="html-italic">b</span>) ratio in young and mature leaves of <span class="html-italic">Hydrocharis morsus-ranae</span> in the different lighting.</p>
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<p>Chlorophyll a fluorescence fast induction (OJIP) averaged curves. The curves of 10 leaves for each variant were averaged and normalized to maximum.</p>
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<p>Relationship between digital values of leaf color G/B (a ratio of mean values of green to blue) and chlorophylls (<b>a</b>), anthocyanins (<b>b</b>) and ratio of chlorophylls to anthocyanins (<b>c</b>) in young and mature leaves of <span class="html-italic">Hydrocharis morsus-ranae</span> grown in the shade and sun.</p>
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<p>Principal component analysis (PCA) biplot of studied photosynthetic traits in leaves of <span class="html-italic">H. morsus-ranae</span>. The loadings of physiological traits are shown with red lines and labelled by green captions. The first principal component (PC1) is mainly associated with Chl (<span class="html-italic">a</span> + <span class="html-italic">b</span>) and F<sub>v</sub>/F<sub>m</sub>, whereas the second component (PC2) is associated with the content of phenylpropanoids, anthocyanins, and with ϕR0. The locations of leaves in the ordination space are shown by circles filled with different colors, according to the experimental group, as also indicated in the legend: blue circles—mature leaves in the shade; orange—mature leaves in the sun; green—young leaves in the shade; red—young leaves in the sun. The groups are clearly separated on the ordination plot, indicating that they are different by multivariable traits. The leaf groups are separated along with PC1 by their development stage (young and mature ones), and along with PC2 by their lighting conditions (sun and shade ones), which indicates that these factors have different and independent effect on leaves.</p>
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<p>K-means clustering of PCA representations of studied leaves of <span class="html-italic">H. morsus-ranae.</span> The leaves were automatically assigned to different clusters (shown in different colors), that are similar to groups by their age and lighting conditions.</p>
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<p>Normalized relative light spectrum distribution in shaded vs. open locations. The irradiance spectra were estimated by measurement of sunlight reflected from white etalon placed at the level of leaves.</p>
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14 pages, 1545 KiB  
Article
Soil–Plant Relationships in Soybean Cultivated under Crop Rotation after 17 Years of No-Tillage and Occasional Chiseling
by Gustavo Ferreira da Silva, Ana Paula Oliveira Matusevicius, Juliano Carlos Calonego, Larissa Chamma, Bruno Cesar Ottoboni Luperini, Michely da Silva Alves, Hugo Mota Ferreira Leite, Elizabete de Jesus Pinto, Marcelo de Almeida Silva and Fernando Ferrari Putti
Plants 2022, 11(19), 2657; https://doi.org/10.3390/plants11192657 - 10 Oct 2022
Cited by 8 | Viewed by 2332
Abstract
No-tillage cover crops contribute to better soil quality, being able to replace mechanized tillage management. This observation can only be made after several years of adopting conservationist practices and through research on soil–plant relationships. The objective of the research was to verify the [...] Read more.
No-tillage cover crops contribute to better soil quality, being able to replace mechanized tillage management. This observation can only be made after several years of adopting conservationist practices and through research on soil–plant relationships. The objective of the research was to verify the relationship between the production components, physiological, root development, and physical-hydric properties of the soil in the yield of soybean grown in succession to different cover crops or with soil chiseling. The experiment was carried out in a randomized block design with four replications, comparing the cultivation of sunn hemp (Crotalaria juncea) and millet (Penninsetum glaucum L.) as cover crops and a treatment with soil chiseling. The evaluations were carried out during soybean (Glycine max L.) cultivation in the 2019/20 summer crop, that is, after 17 years of experimenting started in 2003. Rotation with sunn hemp increased soybean yield by 6% and 10%, compared with millet rotation and soil chiseling. The species used in crop rotation in a long-term no-tillage system interfere with the physical and water characteristics of the soil, affecting the physiological responses and soybean yield. The rotation with sunn hemp offers greater water stability to the plants and provides greater soybean yield in succession. Future research that better addresses year-to-year variation, architecture, and continuity of pores provided by crop rotation, and evaluations of gas exchange, fluorescence, and activities of stress enzymes in soybean plants may contribute to a better understanding of soil–plant relationships in long-term no-till. Full article
(This article belongs to the Special Issue Conservation Tillage for Sustainable Agriculture)
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<p>Loadings of variable in yield components (<b>A</b>), physiological traits (<b>B</b>), root development (<b>C</b>), soil physic (<b>D</b>), and soil water (<b>E</b>). PH: plant height; IFP: insertion of the first pod; NPP: number of pods per plant; TGW: thousand grain weight; SPAD: index SPAD; LAI: leaf area index; RWC: leaf relative water content; LWP: leaf water potential; RA: root area; ARD: average root diameter; RLD: root length density; RDM: root dry matter; PR: soil penetration resistance; TP: soil total porosity; Ma: soil macroporosity; Mi: soil microporosity; SD: soil density; AW: available water capacity; WI: accumulated water infiltration; IR: basic infiltration rate; W1: water stored one day after rain; W3: water stored three days after rain; W5: water stored five days after rain; W8: water stored eight days after rain; W15: water stored 15 days after rain. Blue color indicates positive loading variable; and the red color indicates a negative loading variable.</p>
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<p>Dispersion of observations in principal component 1 of yield components (<b>A</b>), physiological traits (<b>B</b>), root development (<b>C</b>), soil physics (<b>D</b>), and soil water (<b>E</b>) variables.</p>
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<p>Pearson correlation between the first principal component of each variable group. ** and * indicates significant correlation at <span class="html-italic">p</span> &lt; 0.01 and <span class="html-italic">p</span> &lt; 0.05, respectively.</p>
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<p>Means temperature and rainfall in fall–winter and spring–summer seasons since experiment implementation (1985–2018) (<b>A</b>), and means monthly temperature and rainfall between the years 1985 and 2018 and during the 2017/18 season (<b>B</b>).</p>
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11 pages, 1359 KiB  
Article
Antifeeding and Oviposition Deterrent Effect of Ludwigia spp. (Onagraceae) against Plutella xylostella (Lepidoptera: Plutellidae)
by Eliana Aparecida Ferreira, Eduardo Carvalho Faca, Silvana Aparecida de Souza, Claudemir Antonio Garcia Fioratti, Juliana Rosa Carrijo Mauad, Claudia Andrea Lima Cardoso, Munir Mauad and Rosilda Mara Mussury
Plants 2022, 11(19), 2656; https://doi.org/10.3390/plants11192656 - 10 Oct 2022
Cited by 6 | Viewed by 2451
Abstract
Plants produce a wide variety of bioactive compounds with insecticidal properties, such as secondary metabolites capable of interfering with the nutrition and reproduction of pest species such as Plutella xylostella. Thus, the objective of this study was to evaluate the effects of [...] Read more.
Plants produce a wide variety of bioactive compounds with insecticidal properties, such as secondary metabolites capable of interfering with the nutrition and reproduction of pest species such as Plutella xylostella. Thus, the objective of this study was to evaluate the effects of aqueous and ethanolic extracts of Ludwigia spp. (Onagraceae) on the feeding and oviposition of P. xylostella. Choice bioassays were performed using aqueous and ethanolic extracts. The aqueous extract of L. tomentosa resulted in an approximately 81% reduction in larval feeding compared to that in the control, with an antifeedant index (AI) of 52%. The aqueous and ethanolic extract of L. nervosa acted by stimulating larval feeding. The oviposition was significantly reduced in the kale leaves treated with aqueous and ethanolic extracts of Ludwigia spp. The aqueous extracts promoted an average 90% reduction in oviposition when compared to that in the control, and an oviposition deterrent index (ODI) above 61% was classified as an oviposition deterrent. In addition, ethanolic extracts affected 81% of oviposition, with an ODI above 41%. Bioassays should be performed to clarify the use of aqueous and ethanolic extracts of L. nervosa as they acted as phagostimulants in the feeding tests and as deterrents in the oviposition tests. The phenolic compounds—flavonoids, condensed tannins, and alkaloids—were more abundant in L. nervosa, L. tomentosa, L. sericea, and L. longifolia. The extracts of L. longifolia and L. tomentosa showed the best results, interfering with the host choice for feeding and oviposition in P. xylostella and representing an alternative for the control of diamondback moths. Full article
(This article belongs to the Topic Biological Activity of Plant Extracts)
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<p>Schematic representation of the methodology adapted for the breeding of <span class="html-italic">Plutella xylostella.</span> Source: Image adapted from Matias da Silva et al. [<a href="#B37-plants-11-02656" class="html-bibr">37</a>].</p>
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<p>Schematic representation of the choice bioassay of antifeedant activity for <span class="html-italic">Plutella xylostella</span> larvae.</p>
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<p>Schematic representation of the multiple-choice oviposition bioassays.</p>
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12 pages, 3951 KiB  
Article
Research of Water Molecules Cluster Structuring during Haberlea rhodopensis Friv. Hydration
by Ignat Ignatov, Fabio Huether, Nikolai Neshev, Yoana Kiselova-Kaneva, Teodora P. Popova, Ralitsa Bankova, Nedyalka Valcheva, Alexander I. Ignatov, Mariana Angelcheva, Ivan Angushev and Sadek Baiti
Plants 2022, 11(19), 2655; https://doi.org/10.3390/plants11192655 - 10 Oct 2022
Cited by 15 | Viewed by 2617
Abstract
Gesneriaceae plant family is comprised of resurrection species, namely Boea hygrometrica and Paraboea rufescens, that are native to the Southeast Asia and Haberlea rhodopensis, Ramonda myconi, and Ramonda serbica, which are mainly found in the Balkan Peninsula. Haberlea rhodopensis [...] Read more.
Gesneriaceae plant family is comprised of resurrection species, namely Boea hygrometrica and Paraboea rufescens, that are native to the Southeast Asia and Haberlea rhodopensis, Ramonda myconi, and Ramonda serbica, which are mainly found in the Balkan Peninsula. Haberlea rhodopensis is known to be able to survive extreme and prolonged dehydration. Study was carried out after the dried plant Haberlea rhodopensis Friv. had been hydrated and had reached its fresh state. Two juice samples were collected from the plant blossom: The first sample was prepared with 1% filtered water through a patented EVOdrop device. Then the sample was saturated with hydrogen with EVOdrop booster to a concentration of 1.2 ppm, pH = 7.3, ORP = −390 mV. This first sample was prepared with filtered tap water from Sofia, Bulgaria. The second sample, which was a control one, was developed with tap water from Sofia, Bulgaria, consisting of 1% solutions of Haberlea rhodopensis. A study revealed that during the drying process in H. rhodopensis the number of free water molecules decreases, and water dimers are formed. The aim of our study was to determine the number of water molecules in clusters in 1% solutions of hydrated H. rhodopensis plants. Results were analyzed according to the two types of water used in the experiment. Th EVOdrop device is equipped with an ultranano membrane and rotating jet nozzle to create a vortex water and saturation thanks to a second device EVObooster to obtain hydrogen-rich water. In the current study Hydrogen-rich water is referred to as Hydrogen EVOdrop Water (HEW). Research was conducted using the following methods—spectral methods non-equilibrium energy spectrum (NES) and differential non-equilibrium energy spectrum (DNES), mathematical models, and study of the distribution of water molecules in water clusters. In a licensed Eurotest Laboratory, the research of tap water before and after flowing through the EVOdrop device was proven. Studies have been carried out on the structuring of water molecule clusters after change of hydrogen bond energies. The restructuring comes with rearrangement of water molecules by the energy levels of hydrogen bonds. Local extrema can be observed in the spectrum with largest amount of water molecules. The structural changes were tested using the NES and DNES spectral methods. The conducted research proved that the application of EVOdrop device and EVObooster changes the parameters of water to benefit hydration and health. Full article
(This article belongs to the Topic Natural Compounds in Plants)
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<p>Distribution of the number of water (H<sub>2</sub>O) molecules in EVOdrop water and tap water according to the energy of hydrogen bonds.</p>
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<p><span class="html-italic">Haberlea rhodopensis</span> blossom extract.</p>
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<p>Flowers of <span class="html-italic">Haberlea rhodopensis</span>.</p>
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<p>The EVOdrop turbine operation principle.</p>
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<p>The EVOdrop filter.</p>
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<p>Hydrogen (H₂) concentration of EVOdrop hydrogen water (1.2 ppm). Correspondence of hydrogen concentration (ppb) of EVOdrop hydrogen water and the DC Current (Ampers).</p>
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<p>The EVObooster device for EVOdrop hydrogen water.</p>
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<p>Operating principle of the method for measurement of wetting angle of liquid drops on a hard surface: 1—drop, 2—thin maylar foil, 3—glass plate, 4—refraction ring width. The wetting angle θ is a function of a and d<sub>1</sub>.</p>
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16 pages, 2708 KiB  
Article
Effects of Living Mulch and Branches Mulching on Soil Moisture, Temperature and Growth of Rain-Fed Jujube Trees
by Min Tang, Xiaodong Gao, Pute Wu, Hongchen Li and Chao Zhang
Plants 2022, 11(19), 2654; https://doi.org/10.3390/plants11192654 - 9 Oct 2022
Cited by 9 | Viewed by 2182
Abstract
The influence of different mulching measures on soil moisture, soil temperature, and crop growth was investigated during the jujube growing season in rain-fed jujube orchards using micro-plot experiments. The mulching treatments included clean tillage (CT, control treatment), jujube branches mulching (JBM), and white [...] Read more.
The influence of different mulching measures on soil moisture, soil temperature, and crop growth was investigated during the jujube growing season in rain-fed jujube orchards using micro-plot experiments. The mulching treatments included clean tillage (CT, control treatment), jujube branches mulching (JBM), and white clover planting (WCP). The results revealed that: (1) The average soil moisture content of JBM was greater than that of CT by 3.76% and 2.34%, respectively, during the 2013 and 2014 jujube growth periods, and its soil water deficit was minimal in each soil layer from 0 to 70 cm. WCP had the greatest soil water deficit. The average soil moisture content of the 0–70 cm soil layer in WCP was 3.88% and 5.55% lower than that in CT during the 2013 and 2014 jujube growth seasons, respectively (p < 0.05). (2) JBM had the highest annual average soil moisture content in each soil layer from 0 to 70 cm, followed by CT, while WCP had the lowest. White clover and jujube competed for water in the 20–40 cm soil layer, and JBM had the lowest variation in soil moisture. (3) Mulching with jujube branches and planting white clover could both control the temperature of the 0–25 cm soil layer and narrow the daily temperature range, with JBM being the least affected by air temperature. (4) Jujube’s leaf area index and stem diameter increase in JBM were both significantly greater than in CT and WCP. In conclusion, using pruned jujube branches as surface mulch is appropriate for rain-fed jujube orchards because it can preserve soil moisture, regulate soil temperature, and promote jujube growth. Full article
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<p>Changes in the 0–70 cm soil layer’s average soil moisture content under different mulching measures during the (<b>A</b>) 2013 and (<b>B</b>) 2014 jujube growth seasons. JBM: jujube branches were utilized as mulch throughout the entire jujube orchard; CT: clean tillage; and WCP: planting white clover throughout the entire jujube orchard. I: the budding and leaf-expanding stage, II: the flowering and fruit bearing stage, III: the fruit expansion stage, and IV: the fruit ripening stage (similarly hereinafter). Each data point was obtained using the procedure described below: First, average the seven soil moisture measurements of the monitoring point in the 0–70 cm soil layer to represent the soil moisture content of the monitoring point; then, average the soil moisture content of the three monitoring points in the left, center, and right locations to represent the soil moisture content of the soil box; and lastly, average the soil moisture content of the two soil boxes with the same mulching treatment to represent the soil moisture content of the mulching treatment. Due to prolonged periods of no precipitation during the experiment, the soil’s moisture content continued to decline, coming perilously close to wilting moisture. Several irrigations were required to ensure the healthy development of jujube plants and white clover.</p>
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<p>Dynamic changes in the 0–25 cm soil layer’s average soil temperature under different mulching measures over the (<b>A</b>) 2013 and (<b>B</b>) 2014 jujube growth seasons.</p>
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<p>Diurnal variations in soil temperature in the 0–25 cm soil layer at various depths under different mulching measures. At the same time, different lowercase letters at the same depth indicate significant differences in soil temperature for mulching treatments according to Tukey’s test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Jujube stem diameter changes over time under different mulching measures in the (<b>A</b>) 2013 and (<b>B</b>) 2014 jujube growth periods. Different lowercase letters on the same day of the same experimental year indicate significant differences in the cumulative stem diameter growth among treatments, as determined by Tukey’s test (<span class="html-italic">p</span> &lt; 0.05). Due to the fact that the 2013 experiment began a bit later than usual, the increase in jujube stem diameter during the budding and leaf-expanding stage could not be measured.</p>
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<p>Layout diagram for experimental treatments (JBM, WCP, and CT).</p>
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<p>Layout diagram of neutron tubes in experimental plots.</p>
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30 pages, 2562 KiB  
Article
Evaluation of Salicornia bigelovii Germplasm for Food Use in Egypt and the United Arab Emirates Based on Agronomic Traits and Nutritional Composition
by Dionysia-Angeliki Lyra, Anitha Raman, Aly Hozayen, Rashyd Zaaboul, Fouad O. Abou-Zaid, Ahmed El-Naggar, Sherine Mansoor, Henda Mahmoudi and Khalil Ammar
Plants 2022, 11(19), 2653; https://doi.org/10.3390/plants11192653 - 9 Oct 2022
Cited by 7 | Viewed by 3553
Abstract
Climate change significantly aggravates the quality of soil and water, especially in desert regions such as the United Arab Emirates (UAE) and Egypt concluding in an alarming increase in salinity in the reservoirs of the natural resources. Saline farming rises as a promising [...] Read more.
Climate change significantly aggravates the quality of soil and water, especially in desert regions such as the United Arab Emirates (UAE) and Egypt concluding in an alarming increase in salinity in the reservoirs of the natural resources. Saline farming rises as a promising solution, utilizing low-quality water and land resources to grow salt-tolerant varieties of conventional crops and halophytes. Samphire (Salicornia spp.) is among the most popular multi-purpose halophytes that are locally consumed in several countries around the world as a vegetable. Six Salicornia bigelovii genotypes (ICBA-2, ICBA-3, ICBA-4, ICBA-8, ICBA-9, ICBA-10) were evaluated for their agronomic performance and nutritional composition in Dubai in UAE and, for the first time, at the Red Sea Governorate in Egypt in the 2019–2020 season using saline groundwater for irrigation (ECw = 26 and 6.6 dS/m, respectively). ICBA-10 performed well in both locations with high green biomass and seed yield (10.9 kgm−2 and 116.3 gm−2, respectively, in UAE; 7.7 kgm−2 and 82.9 gm−2, respectively, in Egypt). ICBA-10 was, overall, also good in ion accumulation, total amino acids and unsaturated fatty acids content in both locations for shoots and seeds. Our results indicated that a lack of a drainage system and leaching fraction, the silt loam texture and the drip irrigation system might have contributed in the gradual accumulation of salts in the soil at Mubarak Valley at the end of the experiment at a higher level than ICBA. Apart from the agronomic parameters, higher salinity levels also affected ion accumulation, the amino acids and the fatty acids content for both shoots and seeds, whereas the proximate composition was affected to a lesser extent. Our findings on the high unsaturated fatty acids content under higher salinity corroborate the nutritional value of S. bigelovii oil. Due to its euhalophyte nature, S. bigelovii is a valuable source of minerals, amino acids and antioxidants that render it the most promising salt-loving plant for food use. Full article
(This article belongs to the Special Issue Advances in Biosaline Agriculture)
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<p><span class="html-italic">Salicornia bigelovii</span> field experiments at ICBA’s experimental station at (<b>a</b>) young and (<b>b</b>) advanced vegetative stage and at Mubarak Valley in Marsa Alam at (<b>c</b>) sowing and (<b>d</b>) advanced vegetative stage.</p>
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<p>Average monthly temperature and relative humidity from November 2019 to October 2020 at ICBA in Dubai and Mubarak Valley in Marsa Alam. Data source: ERA5.</p>
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<p>Seedlings’ emergence (%) of <span class="html-italic">Salicornia bigelovii</span> after (<b>a</b>) 19 and 48 days from sowing at ICBA and (<b>b</b>) 21 and 49 days from sowing at Mubarak Valley.</p>
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<p>Seedlings’ emergence (%) of <span class="html-italic">Salicornia bigelovii</span> after (<b>a</b>) 19 and 48 days from sowing at ICBA and (<b>b</b>) 21 and 49 days from sowing at Mubarak Valley.</p>
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<p>Plot of Principal Component Analysis (PCA) for the green biomass yield, proximate composition, micronutrients and amino acids for six <span class="html-italic">S. bigelovii</span> genotypes at: (<b>a</b>) ICBA and (<b>b</b>) Mubarak Valley for the first two dimensions. See <a href="#plants-11-02653-t0A7" class="html-table">Table A7</a> for eigenvector values of each parameter for PCA dimension 1 (Dim1) and 2 (Dim2).</p>
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<p>Plot of Principal Component Analysis (PCA) for seed yield, proximate composition, micronutrients, amino acids and fatty acids for six <span class="html-italic">S. bigelovii</span> genotypes at: (<b>a</b>) ICBA and (<b>b</b>) Mubarak Valley for the first two dimensions See <a href="#plants-11-02653-t0A8" class="html-table">Table A8</a> for eigenvector values of each parameter for PCA dimension 1 (Dim1) and 2 (Dim2).</p>
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<p>Plot of Principal Component Analysis (PCA) for seed yield, proximate composition, micronutrients, amino acids and fatty acids for six <span class="html-italic">S. bigelovii</span> genotypes at: (<b>a</b>) ICBA and (<b>b</b>) Mubarak Valley for the first two dimensions See <a href="#plants-11-02653-t0A8" class="html-table">Table A8</a> for eigenvector values of each parameter for PCA dimension 1 (Dim1) and 2 (Dim2).</p>
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<p>Salicornia experimental plots 10 m × 10 m (<b>a</b>) and 5 m × 5 m (<b>b</b>) at ICBA’s research station in the UAE.</p>
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<p>Salicornia field layout at Mubarak Valley in Marsa Alam in Egypt.</p>
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16 pages, 3068 KiB  
Article
Mineral Nutrition of Naturally Growing Scots Pine and Norway Spruce under Limited Water Supply
by Yury V. Ivanov, Ilya E. Zlobin, Alexander V. Kartashov, Alexandra I. Ivanova, Valery P. Ivanov, Sergey I. Marchenko, Dmitry I. Nartov and Vladimir V. Kuznetsov
Plants 2022, 11(19), 2652; https://doi.org/10.3390/plants11192652 - 9 Oct 2022
Cited by 5 | Viewed by 1634
Abstract
The deterioration of plant mineral nutrition during drought is a significant factor in the negative influence of drought on plant performance. We aimed to study the effects of seasonal and multiyear water shortages on nutrient supply and demand in Scots pine and Norway [...] Read more.
The deterioration of plant mineral nutrition during drought is a significant factor in the negative influence of drought on plant performance. We aimed to study the effects of seasonal and multiyear water shortages on nutrient supply and demand in Scots pine and Norway spruce. We studied pine and spruce trees naturally grown in the Bryansk region (Russia). The dynamics of several nutrients (K, Ca, Mg, P, Fe, Mn, Zn, and Ca) in wood, needles, and bark of current-year twigs and the dynamics of the available pools of these elements at different soil depths were analysed. To assess the physiological consequences of changes in element concentrations, lipid peroxidation products and photosynthetic pigments were measured in the needles. Water shortage increased the wood concentrations of all elements except for Mn. In pine, this increase was mainly due to seasonal water deficit, whereas in spruce, multiyear differences in water supply were more important. This increased availability of nutrients was not observed in soil-based analyses. In needles, quite similar patterns of changes were found between species, with Mg increasing almost twofold and Fe and Mn decreasing under water shortage, whereas the remainder of the elements did not change much under differing water supplies. Neither the concentrations of photosynthetic pigments nor the contents of lipid peroxidation products correlated with element dynamics in needles. In summary, water shortage increased the availability of all elements except Mn for the plant; however, needle element contents were regulated independently of element availability for plants. Full article
(This article belongs to the Section Plant Nutrition)
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<p>pH (<b>A</b>,<b>B</b>) and contents of nutrients (<b>C</b>,<b>D</b>) at 4 depths (I—5–15 cm, II—25–35 cm, III—60–70 cm, and IV—110–120 cm) for pine-inhabited Site III (arid) and Site II (normal) (<b>A</b>,<b>C</b>) and for spruce-inhabited Site II (arid) and Site I (normal) (<b>B</b>,<b>D</b>). The contents of the elements on 3 August in the normal plot were taken as 1.0 (white), the relative increase is indicated by red, and the relative decrease is indicated by blue; numbers indicate mean element contents in mg/kg DW (* and **). The significance of the site, sampling date, and site × date interaction were calculated using two-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with an upwards arrow indicating positive influence, a downwards arrow indicating negative influence, double arrows indicating differently directed influence, and “ns” indicating no significant influence.</p>
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<p>Nutrient contents in the wood (<b>A</b>,<b>B</b>), needles (<b>C</b>,<b>D</b>), and bark (<b>E</b>,<b>F</b>) of pine (<b>A</b>,<b>C</b>,<b>E</b>) and spruce (<b>B</b>,<b>D</b>,<b>F</b>). The nutrient contents on 3 August in the normal plot were taken as 1.0 (white), the relative increase is indicated by red, and the relative decrease is indicated by blue; numbers indicate mean element contents in mg/g DW (*) or µg/g DW (**). The significance of the site, sampling date, and site × date interaction were calculated using two-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with an upwards arrow indicating positive influence, a downwards arrow indicating negative influence, double arrows indicating differently directed influence, and “ns” indicating no significant influence.</p>
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<p>Contents of lipid peroxidation products (<b>A</b>,<b>B</b>) and photosynthetic pigments (<b>C</b>,<b>D</b>) in pine (<b>A</b>,<b>C</b>) and spruce (<b>B</b>,<b>D</b>) needles. The contents of the compounds on 3 August in the normal plot were taken as 1.0 (white), the relative increase is indicated by red, and the relative decrease is indicated by blue; numbers indicate mean compound contents (nmol/g DW for MDA and 4-HNE, and mg/g DW for chlorophylls <span class="html-italic">a</span> and <span class="html-italic">b</span> (Chl <span class="html-italic">a</span>, Chl <span class="html-italic">b</span>) and carotenoids (Car)). The significance of the site, sampling date, and site × date interaction were calculated using two-way ANOVA (<span class="html-italic">p</span> &lt; 0.05), with an upwards arrow indicating positive influence, a downwards arrow indicating negative influence, double arrows indicating differently directed influence, and “ns” indicating no significant influence.</p>
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<p>Comparison of the changes in element concentrations in pine (<b>A</b>) and spruce (<b>B</b>) needles with a known range of optimal nutrient concentrations. The mean values ± SEs are given (n = 8). Ref. 1—[<a href="#B27-plants-11-02652" class="html-bibr">27</a>]; Ref. 2—[<a href="#B28-plants-11-02652" class="html-bibr">28</a>]; Ref. 3—[<a href="#B29-plants-11-02652" class="html-bibr">29</a>]; Ref. 4—[<a href="#B20-plants-11-02652" class="html-bibr">20</a>], (for Fe—[<a href="#B30-plants-11-02652" class="html-bibr">30</a>]); Ref. 5—[<a href="#B31-plants-11-02652" class="html-bibr">31</a>].</p>
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20 pages, 1738 KiB  
Article
Ground Vegetation in Pinus sylvestris Forests at Different Successional Stages following Clear Cuttings: A Case Study
by Dovilė Gustienė, Iveta Varnagirytė-Kabašinskienė and Vidas Stakėnas
Plants 2022, 11(19), 2651; https://doi.org/10.3390/plants11192651 - 9 Oct 2022
Cited by 3 | Viewed by 1930
Abstract
The impact of intensive forestry on various components of ecosystems has become the main subject of public and scientific debate in many regions in recent years. Forest ground vegetation is considered one of the most consistent and biodiversity-rich indicators of a certain stage [...] Read more.
The impact of intensive forestry on various components of ecosystems has become the main subject of public and scientific debate in many regions in recent years. Forest ground vegetation is considered one of the most consistent and biodiversity-rich indicators of a certain stage of successional forest development. Therefore, changes in this forest component can potentially show the risks of forest damage due to clear-cutting and recovery trends. This study was carried out to identify the ground vegetation species diversity, including species composition and cover, also ground vegetation species relations with organic layer (forest floor) and upper mineral soil parameters at the different successional stages of the Pinus sylvestris L. stand development, including 1–2-year-old clear-cuts, and 6–130 years old stands. This study identified that the herb and dwarf shrub species were more light-demanding in the 2-year-old clear-cuts, as well as in the 6-year and 10-year old P. sylvestris stands compared to the middle-aged and mature forest stands. The dominant ground vegetation species, characteristic for the Pinetum vaccinio-myrtillosum forest type, were negatively dependent on the forest floor mass; they also had negative correlations with the concentrations of total P, K, Ca, and Mg in the forest floor and upper mineral soil but had positive correlations with the soil pH values and total N. The developed regression models of the percentage cover of mosses, herbs and dwarf shrubs according to the P. sylvestris stand age highlight the stabilization of the increase in the moss cover about 30 years after clear-cutting, with no clear trend for vascular species. The herbs and dwarf shrub species were highly variable during the stand rotation due to the species-specific characteristics and random factors rather than due to the influence of stand age. In this study, relatively short-term changes in ground vegetation species composition and percentage cover were determined after clear-cutting, but an important aspect is that new ground vegetation species appeared in the open areas, creating the potential for increasing species diversity. The clear-cutting system supports different species and numbers of herbs and mosses at different stages of stand development, which potentially increases the overall vegetation species diversity of the ecosystem. Full article
(This article belongs to the Special Issue Selected Papers from Conference of CYSENI 2022)
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<p>Venn diagram showing the diversity and overlap of the herbs and dwarf shrubs (<b>A</b>), mosses, and lichen (<b>B</b>) at the selected <span class="html-italic">Pinus sylvestris</span> sites, taken to represent clear-cuts (2-year-old clear-cut), young stands (6-year and 10-year stand), middle-aged stands (30-year stand) and mature stands (130-year stand).</p>
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<p>Chronosequence models for <span class="html-italic">Pinus sylvestris</span> stand development based on regression modeling of mosses and herbs and dwarf shrubs. Some intermediate data-points were adapted from [<a href="#B11-plants-11-02651" class="html-bibr">11</a>].</p>
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<p>Relations between species richness (<b>A</b>) and cover (<b>B</b>) of herbs and dwarf shrubs and mosses with the forest floor mass; <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The proportion (%) of dominant herbs and dwarf shrubs (<b>A</b>) and moss (<b>B</b>) species of the total biomass of dominated ground vegetation species at different <span class="html-italic">Pinus sylvestris</span> sites, including 1–2-year-old clear-cuts and 6–130 years old stands.</p>
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<p>The proportion (%) of dominant herbs and dwarf shrubs (<b>A</b>) and moss (<b>B</b>) species of the total biomass of dominated ground vegetation species at different <span class="html-italic">Pinus sylvestris</span> sites, including 1–2-year-old clear-cuts and 6–130 years old stands.</p>
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27 pages, 1748 KiB  
Review
Plant Development and Crop Yield: The Role of Gibberellins
by Ricardo Castro-Camba, Conchi Sánchez, Nieves Vidal and Jesús Mª Vielba
Plants 2022, 11(19), 2650; https://doi.org/10.3390/plants11192650 - 9 Oct 2022
Cited by 85 | Viewed by 11245
Abstract
Gibberellins have been classically related to a few key developmental processes, thus being essential for the accurate unfolding of plant genetic programs. After more than a century of research, over one hundred different gibberellins have been described. There is a continuously increasing interest [...] Read more.
Gibberellins have been classically related to a few key developmental processes, thus being essential for the accurate unfolding of plant genetic programs. After more than a century of research, over one hundred different gibberellins have been described. There is a continuously increasing interest in gibberellins research because of their relevant role in the so-called "Green Revolution", as well as their current and possible applications in crop improvement. The functions attributed to gibberellins have been traditionally restricted to the regulation of plant stature, seed germination, and flowering. Nonetheless, research in the last years has shown that these functions extend to many other relevant processes. In this review, the current knowledge on gibberellins homeostasis and mode of action is briefly outlined, while specific attention is focused on the many different responses in which gibberellins take part. Thus, those genes and proteins identified as being involved in the regulation of gibberellin responses in model and non-model species are highlighted. The present review aims to provide a comprehensive picture of the state-of-the-art perception of gibberellins molecular biology and its effects on plant development. This picture might be helpful to enhance our current understanding of gibberellins biology and provide the know-how for the development of more accurate research and breeding programs. Full article
(This article belongs to the Special Issue Characterization of Signal Transduction in the Plant Hormone)
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<p>Schematic representation of the GA-related signaling involved in the process of shoot elongation. Yellow and grey background indicate light and dark conditions, respectively. Arrows indicate activation and blunt-end lines indicate repression or inhibition. See text for details and references. ARF6: auxin response factor 6, BZR1: brassinazole-resistant 1, ERF11: ethylene response factor 11, EUI: elongated uppermost internode, GA: gibberellins, GA2OX: gibberellin 2-oxidase, GI: gigantea, H3k27me3: 3 methylation of lysine 27 in histone 3, HBI1: homolog of bee2 interacting with ibh 1, MADS57: MADS box transcription factor 57, PFD: Prefoldins, PHYB: phytochrome B, RGA: repressor of GA, PIF4: phytochrome-interacting factor 4, PIF4-TCP: phytochrome-interacting factor 4-teosinte branched 1–cycloidea–pcf, PKL: pickle, PRE6: paclobutrazol resistance 6, SLR1: slender rice 1, XET: xyloglucan endotransglycosylase.</p>
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<p>Schematic representation of the GA-related signaling involved in flowering and the development of the flower tissues. Arrows indicate activation and blunt-end lines indicate repression or inhibition. Orange box represents the GA flowering pathway, the blue box the vernalization flowering pathway, the yellow box the photoperiod flowering pathway and green box the aging flowering pathway. Grey boxes represent meristem identity genes and floral integrator genes. See text for details and references. ABA: abscisic acid, AP1/3: apetala 1/3, BBX24: B-box domain protein 24, CPS: <span class="html-italic">ent</span>-copalyl diphosphate synthase, CO: constans, DAD1: defective anther dehiscence 1, FLC: flowering locus C, FT: flowering locus T, FUL: fruitfull, GA2OX: GA2-oxidase, GA20OX: GA20-oxidase, GAI: gibberellic acid insensitive, JA: jasmonates, JAZ1: jasmonate zim domain, LFY: leafy, MYB: MYB domain protein, MYC2: transcription factor MYC2, NCED: nine-cis-epoxycarotenoid dioxygenase 2, SAUR63: auxin-responsive protein saur63, SAW1: swollen anther wall 1, SEP: sepallata, SLR1: slender rice 1, SPL: squamosa promoter binding protein-like, SOC1: suppressor of overexpression of CO1, SVP: short vegetative phase, TCP15: teosinte branched 1–cycloidea–pcf, TEM: tempranillo, TFL1: terminal flower 1, TPS11/12: terpene synthase 11/12, VRN1-GA: vernalization 1-GA, ZIP: HD-zipper family.</p>
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<p>Schematic representation of the GA-related signaling involved in seed germination. Arrows indicate activation and blunt-end lines indicate repression or inhibition. See text for details and references. ABA1/ZEP: aba1/zeaxanthin epoxidase, ATML1: <span class="html-italic">Arabidopsis thaliana</span> meristem layer 1, CRY: cryptochrome, CWRP: cell-wall-remodeling-protein, DAG1: dof-type zinc finger DNA-binding protein, DOG1: delay of germination 1, FUS3: fusca3, GA2ox: GA2oxidase, GA3ox: GA3oxidase, HSF: heat shock factor, HSP: heat shock protein, HYH: hy5 homolog, LEA: late embryogenesis abundant, LEC1: leafy cotyledon 1, PDF2: protodermal factor 2, PHYB: phytochrome B, PIF1: phytochrome-interacting factor 4, PIL5: phytochrome-interacting factor-like 5, PWR: powerdress, RVE1: reveille 1, RGL2: rga-like protein 2, SOM: somnus, SPT: spatula, SPY: spindly, VOZ1/2: vascular plant one-zinc finger.</p>
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22 pages, 5420 KiB  
Article
Plant Diversity of Mts. Oligirtos and Farmakas (NE Peloponnisos, Greece) with Emphasis on Their Endemic Flora
by Andreas Zikos and Theophanis Constantinidis
Plants 2022, 11(19), 2649; https://doi.org/10.3390/plants11192649 - 9 Oct 2022
Cited by 1 | Viewed by 2250
Abstract
Greece is known to be a biodiversity hotspot. Though the plant diversity of Peloponnisos, the southernmost part of the Greek mainland, has been well-studied during the past 200 years, there are still gaps in our knowledge. To this end, the flora of the [...] Read more.
Greece is known to be a biodiversity hotspot. Though the plant diversity of Peloponnisos, the southernmost part of the Greek mainland, has been well-studied during the past 200 years, there are still gaps in our knowledge. To this end, the flora of the neighboring mountains Oligirtos and Farmakas was investigated, with a total of 740 and 762 taxa (species and subspecies) recorded, respectively, of which 635 and 756 for the first time. Ten species or subspecies were previously not known from Peloponnisos. Endemics correspond to 10.2% and 8.9% of the total flora and are predominately hemicryptophytes and entomogamous. Almost half of them produce capsules. The number of endemics per 2 × 2 km grid cell reveals that their highest number is found in areas of high elevation, and corresponds to habitats above the tree line, or to the limestone cliffs vegetation. No less than 62 endemic plant taxa of Mt. Oligirtos and 58 of Mt. Farmakas are threatened. A comparison of Mts. Oligirtos and Farmakas with five neighboring mountains shows that elevation correlates positively with the number of regional or bi-regional endemics but not with local or narrow endemics. The importance of mountainous regions for plant conservation is stressed. Full article
(This article belongs to the Special Issue Taxonomy and Plant Conservation, Volume II)
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<p>Number of Greek endemic taxa (depicted with color scale) recorded in each of the 2 × 2 km grid cells on Mts. Oligirtos and Farmakas. The study area (black line) and 10 × 10 km European Environment Agency (EEA) grid (red line) are also indicated. Grid cells covered less than 0.2% (i.e., 8000 m<sup>2</sup>) of the study area have been ignored.</p>
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<p>Classification of the Greek endemic taxa of Mts. Oligirtos and Farmakas in IUCN Red List categories, according to the main habitats each of the endemic plants prefers. LC/NT: Least Concerned/Near Threatened, VU: Vulnerable, EN: Endangered, CR: Critically Endangered. A: Freshwater habitats, C: Cliffs, rocks, walls, ravines, boulders, G: Temperate and submediterranean grasslands, H: High mountain vegetation, P: Xeric Mediterranean phrygana and grasslands, R: Agricultural and ruderal habitats, W: Woodlands and scrub. (Kruskal–Wallis one-way ANOVA: H = 16.235, df = 6, <span class="html-italic">p</span> = 0.013 for Mt. Oligirtos and H = 15.104, df = 6, <span class="html-italic">p</span> = 0.019 for Mt. Farmakas).</p>
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<p>Pollination mode of the Greek endemic taxa found in the flora of Mts. Oligirtos and Farmakas. (Kruskal–Wallis one-way ANOVA: H = 0.19, df = 1, <span class="html-italic">p</span> = 0.663).</p>
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<p>Fruit types of the Greek endemic taxa found in the flora of Mts. Oligirtos and Farmakas. (Kruskal–Wallis one-way ANOVA: H = 0.228, df = 1, <span class="html-italic">p</span> = 0.633).</p>
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<p>Number of Greek endemic taxa (Total), narrow endemics (50 km), Peloponnisos endemics (Pe), Peloponnisos and Sterea Ellas endemics (Pe and StE), and endemics with a wider distribution in Greece (Rest GR) recorded so far on Mts. Erimanthos, Panachaiko, Chelmos, Saitas, Oligirtos, Killini, and Farmakas. (Kruskal–Wallis one-way ANOVA: H = 5.577, df = 6, <span class="html-italic">p</span> = 0.472).</p>
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<p>Life form spectra of the Greek endemic flora of Mts. Erimanthos, Panachaiko, Chelmos, Saitas, Oligirtos, Killini, and Farmakas. C: chamaephytes, G: geophytes, H: hemicryptophytes, P: phanerophytes, T: therophytes. (Kruskal–Wallis one-way ANOVA: H = 3.176, df = 6, <span class="html-italic">p</span> = 0.787).</p>
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<p>Proportion of the Greek endemic taxa hosted in each habitat category for Mts. Erimanthos, Panachaiko, Chelmos, Saitas, Oligirtos, Killini, and Farmakas. W: Woodlands and scrub, R: Agricultural and ruderal habitats, P: Xeric Mediterranean phrygana and grasslands, H: High mountain vegetation, G: Temperate and submediterranean grasslands, C: Cliffs, rocks, walls, ravines, and boulders, A: Freshwater habitats. (Kruskal–Wallis one-way ANOVA: H = 4.44, df = 6, <span class="html-italic">p</span> = 0.617).</p>
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<p>Classification of the Greek endemic taxa of Mts. Erimanthos, Panachaiko, Chelmos, Saitas, Oligirtos, Killini, and Farmakas in the IUCN categories of threatened species. LC/NT: Least Concerned/Near Threatened, VU: Vulnerable, EN: Endangered, CR: Critically Endangered, NE: Not Evaluated. (Kruskal–Wallis one-way ANOVA: H = 1.625, df = 6, <span class="html-italic">p</span> = 0.951).</p>
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<p>Map of the study area shown in white. Mt. Oligirtos (left) covers a total area of 104.71 km<sup>2</sup>; Mt. Farmakas (right) an area of 114.76 km<sup>2</sup>. Localities, where plant collections were undertaken, are shown by orange dots (neighboring localities in the same habitat have been merged for visualization reasons). The location of the study area in relation to continental Greece is also indicated (insert). 1: Skipiza summit (1935 m), 2: Gribini summit (1831 m), 3: Chionotripa summit (1800 m), 4: Mt. Parnias (1694 m), 5: Goupata plateau (ca. 1500 m), 6: Avizes summit (1615 m), 7: Kastro summit (1510 m), 8: Xerovouni summit (1432 m), 9: Lake Stymphalia, 10: Mt. Saitas, 11: Mt. Killini, 12: Mt. Skiathis, 13: Mt. Lirkio, 14. Xerolakka valley (540 m).</p>
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<p>Excerpt of the Climatic Atlas of Greece 1971–2000, according to the Hellenic National Meteorological Service [<a href="#B33-plants-11-02649" class="html-bibr">33</a>]: (<b>A</b>) Mean annual precipitation [mm], (<b>B</b>) Mean annual temperature [°C]. the Black line indicates the location of Mts. Oligirtos (<b>left</b>) and Farmakas (<b>right</b>).</p>
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13 pages, 4569 KiB  
Article
Varying Responses of Vegetation Greenness to the Diurnal Warming across the Global
by Jie Zhao, Kunlun Xiang, Zhitao Wu and Ziqiang Du
Plants 2022, 11(19), 2648; https://doi.org/10.3390/plants11192648 - 8 Oct 2022
Cited by 10 | Viewed by 1720
Abstract
The distribution of global warming has been varying both diurnally and seasonally. Little is known about the spatiotemporal variations in the relationships between vegetation greenness and day- and night-time warming during the last decades. We investigated the global inter- and intra-annual responses of [...] Read more.
The distribution of global warming has been varying both diurnally and seasonally. Little is known about the spatiotemporal variations in the relationships between vegetation greenness and day- and night-time warming during the last decades. We investigated the global inter- and intra-annual responses of vegetation greenness to the diurnal asymmetric warming during the period of 1982–2015, using the normalized different vegetation index (NDVI, a robust proxy for vegetation greenness) obtained from the NOAA/AVHRR NDVI GIMMS3g dataset and the monthly average daily maximum (Tmax) and minimum temperature (Tmin) obtained from the gridded Climate Research Unit, University of East Anglia. Several findings were obtained: (1) The strength of the relationship between vegetation greenness and the diurnal temperature varied on inter-annual and seasonal timescales, indicating generally weakening warming effects on the vegetation activity across the global. (2) The decline in vegetation response to Tmax occurred mainly in the mid-latitudes of the world and in the high latitudes of the northern hemisphere, whereas the decline in the vegetation response to Tmin primarily concentrated in low latitudes. The percentage of areas with a significantly negative trend in the partial correlation coefficient between vegetation greenness and diurnal temperature was greater than that of the areas showing the significant positive trend. (3) The trends in the correlation between vegetation greenness and diurnal warming showed a complex spatial pattern: the majority of the study areas had undergone a significant declining strength in the vegetation greenness response to Tmax in all seasons and to Tmin in seasons except autumn. These findings are expected to have important implications for studying the diurnal asymmetry warming and its effect on the terrestrial ecosystem. Full article
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<p>Temporal variations in the partial correlation coefficients between mean annual NDVI and the diurnal temperature (T<sub>max</sub> and T<sub>min</sub>) for each 17-year moving window across latitudes intervals. (<b>a</b>–<b>e</b> represents latitudes intervals at 60°~90° N, 30°~60° N, 0°~30° N, −30°~0° S, and −60°~0° S, respectively (N and S indicates the Northern and southern hemisphere, respectively). The x axis is the last year of the 17-year moving-window (for example, 1998 stands for a moving-window from 1982 to 1998, …, 2015 stands for a moving-window from 1999 to 2015). The Y axis is the partial correlation coefficients).</p>
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<p>Temporal variations in the partial correlation coefficients between mean NDVI and the diurnal temperature (T<sub>max</sub> and T<sub>min</sub>) in spring for each 17-year moving window across latitudes intervals. (<b>a</b>–<b>e</b> represents latitudes intervals at 60°~90° N, 30°~60° N, 0°~30° N, −30°~0° S, and −60°~0° S, respectively (N and S indicates the Northern and southern hemisphere, respectively). The x axis is the last year of the 17-year moving-window (for example, 1998 stands for a moving-window from 1982 to 1998,…, 2015 stands for a moving-window from 1999 to 2015). The Y axis is the partial correlation coefficients).</p>
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<p>Temporal variations in the partial correlation coefficients between mean NDVI and the diurnal temperature (T<sub>max</sub> and T<sub>min</sub>) in summer for each 17-year moving window across latitudes intervals. (<b>a</b>–<b>e</b> represents latitudes intervals at 60°~90° N, 30°~60° N, 0°~30° N, −30°~0° S, and −60°~0° S, respectively (N and S indicates the Northern and southern hemisphere, respectively). The x axis is the last year of the 17-year moving-window (for example, 1998 stands for a moving-window from 1982 to 1998,…, 2015 stands for a moving-window from 1999 to 2015). The Y axis is the partial correlation coefficients).</p>
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<p>Temporal variations in the partial correlation coefficients between mean NDVI and the diurnal temperature (T<sub>max</sub> and T<sub>min</sub>) in autumn for each 17-year moving window across latitudes intervals. (<b>a</b>–<b>e</b> represents latitudes intervals at 60°~90° N, 30°~60° N, 0°~30° N, −30°~0° S, and −60°~0° S, respectively (N and S indicates the Northern and southern hemisphere, respectively). The x axis is the last year of the 17-year moving-window (for example, 1998 stands for a moving-window from 1982 to 1998,…, 2015 stands for a moving-window from 1999 to 2015). The Y axis is the partial correlation coefficients).</p>
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<p>Temporal variations in the partial correlation coefficients between mean NDVI and the diurnal temperature (T<sub>max</sub> and T<sub>min</sub>) in winter for each 17-year moving window across latitudes intervals. (<b>a</b>–<b>e</b> represents latitudes intervals at 60°~90° N, 30°~60° N, 0°~30° N, −30°~0° S, and −60°~0° S, respectively (N and S indicates the Northern and southern hemisphere, respectively). The x axis is the last year of the 17-year moving-window (for example, 1998 stands for a moving-window from 1982 to 1998,…, 2015 stands for a moving-window from 1999 to 2015). The Y axis is the partial correlation coefficients).</p>
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<p>The response of vegetation greenness to the diurnal temperature. (<b>a</b>. spatial distribution of the temporal trend of the partial coefficients between mean annual NDVI and T<sub>max</sub>. <b>b</b>. spatial distribution of the temporal trend of the partial coefficients between mean annual NDVI and T<sub>min</sub>. <a href="#app1-plants-11-02648" class="html-app">Supplementary Table S1</a>).</p>
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<p>The response of vegetation greenness to the diurnal temperature in spring. (<b>a</b>. spatial distribution of the temporal trend of the partial coefficients between spring NDVI and T<sub>max</sub>. <b>b</b>. spatial distribution of the temporal trend of the partial coefficients between spring NDVI and T<sub>min</sub>. <a href="#app1-plants-11-02648" class="html-app">Supplementary Table S2</a>).</p>
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<p>The response of vegetation greenness to the diurnal temperature in summer. (<b>a</b>. spatial distribution of the temporal trend of the partial coefficients between summer NDVI and T<sub>max</sub>. <b>b</b>. spatial distribution of the temporal trend of the partial coefficients between summer NDVI and T<sub>min</sub>. <a href="#app1-plants-11-02648" class="html-app">Supplementary Table S3</a>).</p>
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<p>The response of vegetation greenness to the diurnal temperature in autumn. (<b>a</b>. spatial distribution of the temporal trend of the partial coefficients between autumn NDVI and T<sub>max</sub>. <b>b</b>. spatial distribution of the temporal trend of the partial coefficients between autumn NDVI and T<sub>min</sub>. <a href="#app1-plants-11-02648" class="html-app">Supplementary Table S4</a>).</p>
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<p>The response of vegetation greenness to the diurnal temperature in winter. (<b>a</b>. spatial distribution of the temporal trend of the partial coefficients between winter NDVI and T<sub>max</sub>. <b>b</b>. spatial distribution of the temporal trend of the partial coefficients between winter NDVI and T<sub>min</sub>. <a href="#app1-plants-11-02648" class="html-app">Supplementary Table S5</a>).</p>
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15 pages, 2794 KiB  
Article
Tamarix hispida NAC Transcription Factor ThNAC4 Confers Salt and Drought Stress Tolerance to Transgenic Tamarix and Arabidopsis
by Meiheriguli Mijiti, Yucheng Wang, Liuqiang Wang and Xugela Habuding
Plants 2022, 11(19), 2647; https://doi.org/10.3390/plants11192647 - 8 Oct 2022
Cited by 14 | Viewed by 2151
Abstract
Salt and drought are considered two major abiotic stresses that have a significant impact on plants. Plant NAC (NAM, ATAF1/2, and CUC2) transcription factors (TFs) have been shown to play vital roles in plant development and responses to various abiotic stresses. ThNAC4, [...] Read more.
Salt and drought are considered two major abiotic stresses that have a significant impact on plants. Plant NAC (NAM, ATAF1/2, and CUC2) transcription factors (TFs) have been shown to play vital roles in plant development and responses to various abiotic stresses. ThNAC4, a NAC gene from Tamarix hispida involved in salt and osmotic stress tolerance, was identified and characterized in this study. According to a phylogenetic study, ThNAC4 is a member of NAC subfamily II. Subcellular localization analysis showed that ThNAC4 is located in the nucleus, and transcriptional activation experiments demonstrated that ThNAC4 is a transcriptional activator. Transgenic Arabidopsis plants overexpressing ThNAC4 exhibited improved salt and osmotic tolerance, as demonstrated by improved physiological traits. ThNAC4-overexpressing and ThNAC4-silenced T. hispida plants were generated using the transient transformation method and selected for gain- and loss-of-function analysis. The results showed that overexpression of ThNAC4 in transgenic Tamarix and Arabidopsis plants increased the activities of antioxidant enzymes (SOD, POD, and GST) and osmoprotectant (proline and trehalose) contents under stress conditions. These findings suggest that ThNAC4 plays an important physiological role in plant abiotic stress tolerance by increasing ROS scavenging ability and improving osmotic potential. Full article
(This article belongs to the Section Plant Response to Abiotic Stress and Climate Change)
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<p>Phylogenetic analysis of ThNAC4 and NAC proteins from <span class="html-italic">Arabidopsis</span>. The phylogenetic relationship of <span class="html-italic">ThNAC4</span> and NAC proteins from <span class="html-italic">Arabidopsis</span>. <span class="html-italic">ThNAC4</span> and the <span class="html-italic">Arabidopsis</span> NACs were aligned; the unrooted NJ tree was constructed using MEGA 7.</p>
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<p>Subcellular localization and transcriptional activation of ThNAC4. (<b>A</b>) Subcellular localization analysis of ThNAC4. The 35S-GFP (control) and ThNAC4-GFP fusion proteins were transiently expressed in onion epidermal cells and viewed with a confocal microscope (wavelength 488 nm). (<b>a</b>) 35S-GFP, GFP; (<b>b</b>) 35S-GFP, bright; (<b>c</b>) 35S-GFP, merge; (<b>d</b>) ThNAC4-GFP, GFP; (<b>e</b>) ThNAC4-GFP, bright; (<b>f</b>) ThNAC4-GFP, merge. (<b>B</b>) Transactivation assay of ThNAC4. Full-length or truncated CDSs of ThNAC4 were cloned into the pGBKT7 vector, transformed into Y2HGold cells and grown on SD/-Trp or SD/-Trp/-His/X-α-gal media to assess their transcriptional activation.</p>
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<p>Stress tolerance of <span class="html-italic">Arabidopsis</span> overexpressing <span class="html-italic">ThNAC4</span>. (<b>A</b>,<b>B</b>) Seed germination assay of transgenic (OE2, OE8 and OE9) and wild-type (WT) <span class="html-italic">Arabidopsis</span> plants. Seeds were sown on 1/2 MS solid medium containing 150 mM NaCl or 200 mM mannitol and incubated at 22 °C for 7 days. Photographs were taken, and the germination rates were measured. (<b>C</b>–<b>E</b>) Effects of salt and drought stresses on root length and fresh weight. Seven-day-old seedlings were grown on 1/2 MS solid medium containing 150 mM NaCl or 200 mM mannitol for 7 days. Photographs were taken, and the root length and fresh weight were measured. (<b>F</b>) Growth phenotype of transgenic and WT <span class="html-italic">Arabidopsis</span> plants. (<b>G</b>,<b>H</b>) Effects of salt and drought stress treatment on chlorophyll content and water loss. Three-week-old seedlings in soil were treated with 150 mM NaCl or 200 mM mannitol for one week. Photographs were taken, and the chlorophyll content and water loss were measured. The error bars represent the standard deviations of the mean measurements, which were calculated from three independent experiments. * indicates a significant difference (<span class="html-italic">p</span> &lt; 0.05) between transgenic lines and WT plants.</p>
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<p>Histochemical staining and physiological analysis of <span class="html-italic">ThNAC4</span>-transformed and WT <span class="html-italic">Arabidopsis</span> plants. (<b>A</b>,<b>B</b>) Detection of ROS levels in <span class="html-italic">ThNAC4</span>-transformed (Lines 2, 8, and 9) and WT plants. Leaves from transgenic lines and WT plants untreated and treated with 150 mM NaCl or 200 mM mannitol for 2 h were used for histochemical staining by NBT and DAB to reveal the accumulation of O<sub>2</sub><sup>-</sup> and H<sub>2</sub>O<sub>2</sub>, respectively. (<b>C</b>) Evans blue staining analysis of cell death. Leaves sampled from 4-week-old transgenic and WT seedlings untreated and treated with 150 mM NaCl or 200 mM mannitol for 2 h were used for histochemical staining. (<b>D</b>–<b>I</b>) Physiological analysis of <span class="html-italic">ThNAC4</span>-transformed and WT <span class="html-italic">Arabidopsis</span> plants. Four-week-old seedlings of transgenic lines and WT plants were irrigated with 150 mM NaCl or 200 mM mannitol for 2 days to measure MDA contents (<b>D</b>); SOD (<b>E</b>), POD (<b>F</b>), and GST (<b>G</b>) activities; and proline (H) and trehalose (<b>I</b>) contents. The error bars represent the standard deviations of the mean measurements, which were calculated from three independent experiments. * indicates a significant difference (<span class="html-italic">p</span> &lt; 0.05) between transgenic lines and WT plants.</p>
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<p>The expression pattern of the <span class="html-italic">SOD</span>, <span class="html-italic">POD</span>, <span class="html-italic">TPS</span> and <span class="html-italic">TP</span><span class="html-italic">P</span> genes in transgenic and WT <span class="html-italic">Arabidopsis</span> plants. Four-week-old seedlings of transgenic lines and WT plants were treated with 150 mM NaCl or 200 mM mannitol for 24 h and were harvested for qRT-PCR analysis. The transcription levels of <span class="html-italic">SODs, PODs</span>, <span class="html-italic">TPSs</span> and <span class="html-italic">TP</span><span class="html-italic">Ps</span> in WT plants under the same conditions were set to 1 to calculate their expression in transgenic plants. The error bars were calculated from three replicates.</p>
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<p>Histochemical staining and physiological analyses in transgenic <span class="html-italic">T. hispida</span> plants. (<b>A</b>) Detection of ROS levels in transgenic <span class="html-italic">T. hispida</span> plants. Histochemical staining by DAB and NBT revealed the accumulation of H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub><sup>-</sup>, respectively. (B–H) Physiological analysis of transgenic <span class="html-italic">T. hispida</span> plants, including MDA contents (<b>B</b>), chlorophyll contents (<b>C</b>), SOD activity (<b>D</b>), POD activity (<b>E</b>), GST activity (<b>F</b>), proline contents (<b>G</b>) and trehalose contents (<b>H</b>). The plants were grown in 1/2 MS medium or 1/2 MS medium containing 150 mM NaCl or 200 mM mannitol for 24 h and used for analysis. VC: the pROKII vector control transformed <span class="html-italic">T. hispida</span> plants; OE: overexpression of <span class="html-italic">ThNAC4</span> in <span class="html-italic">T. hispida</span> plants; and IE: <span class="html-italic">ThNAC4</span> RNAi-silenced <span class="html-italic">T. hispida</span> plants. The error bars represent the standard deviations of the mean measurements, which were calculated from three independent experiments. *, ** indicates a significant difference (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01) compared to the control plants.</p>
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17 pages, 1366 KiB  
Review
Exploring Dabai (Canarium odontophyllum), Indigenous Fruit of Borneo: A Review of Nutritional Values, Potential Uses, Emerging Application in Essential Oil Processing, and Health Benefits
by Muhammad Hazwan Hamzah, Mohd Salahuddin Mohd Basri, Bernard Maringgal, Maimunah Mohd Ali, Mohd Hafizz Wondi, Hasfalina Che Man and Sukardi Gatuk Abdulloh
Plants 2022, 11(19), 2646; https://doi.org/10.3390/plants11192646 - 8 Oct 2022
Cited by 6 | Viewed by 5964
Abstract
Dabai (Canarium odontophyllum) is a fruit-bearing plant native to Borneo. Its fruit is an indigenous seasonal fruit that is considered to be underutilized due to its short shelf life. However, new products have been developed to ensure a continuous supply of [...] Read more.
Dabai (Canarium odontophyllum) is a fruit-bearing plant native to Borneo. Its fruit is an indigenous seasonal fruit that is considered to be underutilized due to its short shelf life. However, new products have been developed to ensure a continuous supply of dabai fruit throughout the year. Hence, the exploration of dabai fruits in characterizations and utilization for food products and essential oil has expanded exponentially. This review addresses the nutritional values, health benefits, potential food products, and essential oil processing of dabai fruit. All parts of dabai fruit, such as the pulp, skin, and kernel, contain a considerable amount of bioactive compounds, dietary fiber, and nutrients. Moreover, dabai fruit has also been proven to have health benefits such as an antioxidant capacity, cholesterol reduction, diabetes type 2 prevention, and reduction in the risk of heart disease. Some potential dabai-based food products and oil processing of dabai are also highlighted. The future perspectives and challenges concerning the potential uses of dabai are critically addressed at the end of this review. Based on this review, it is proven that dabai has various health benefits and represents a potential breakthrough in the agricultural and food industries. Full article
(This article belongs to the Special Issue Advances in Domestication of Fruit Trees)
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<p>Timeline chart of dabai fruit during the maturation process. Adapted from [<a href="#B29-plants-11-02646" class="html-bibr">29</a>].</p>
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<p>(<b>a</b>) Mature dabai fruits; (<b>b</b>) Dabai flesh (mesocarp) and hard seed (endocarp); (<b>c</b>) Length of the seed; (<b>d</b>) Width of the seed; (<b>e</b>) Longitudinal section of the seed; (<b>f</b>) Transverse section of the seed and the kernel. Adapted from [<a href="#B16-plants-11-02646" class="html-bibr">16</a>].</p>
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<p>Potential health benefits of dabai.</p>
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16 pages, 2331 KiB  
Article
Validation of Reference Genes in a Population of Blueberry (Vaccinium corymbosum) Plants Regenerated in Colchicine
by Francisca Valenzuela, Vivían D’Afonseca, Ricardo Hernández, Aleydis Gómez and Ariel D. Arencibia
Plants 2022, 11(19), 2645; https://doi.org/10.3390/plants11192645 - 8 Oct 2022
Cited by 4 | Viewed by 2328
Abstract
For the first time we report the validation of reference genes in plants from a population of blueberry (Vaccinium corymbosum) clones cultured in vitro on a colchicine-supplemented medium. Nodal segment explants of the cultivar Duke were regenerated by organogenesis under different [...] Read more.
For the first time we report the validation of reference genes in plants from a population of blueberry (Vaccinium corymbosum) clones cultured in vitro on a colchicine-supplemented medium. Nodal segment explants of the cultivar Duke were regenerated by organogenesis under different periods of colchicine 1 mg/L exposure (1, 2, 3, 5, 30 days). The clones selected for the study showed variability for phenotypic traits after 2 years of adaptation to field conditions, compared to plants of the donor genotype that were regenerated on a medium without colchicine. Vaccinium myrtillus (GAPDH) and Vaccinium macrocarpon (ATP1, NADH, RPOB and COX2) were used as reference genomes for primer design. The results show that colchicine treatments can cause genomic changes in blueberry plants. At the molecular level, exposure of plants to colchicine in early periods could promote an increase in gene expression of specific genes such as ATP1, COX2, GAPDH, MATK, NADH and RPOB. However, prolonged exposure (30 days) could decrease gene expression of the genes studied. For qPCR assays, the primers designed for ATP1, COX2, GAPDH and MATK genes showed high efficiency. In addition, the GAPDH, ATP1, NADH and COX2 genes showed high stability and could be recommended as potential reference genes for gene expression assays in Vaccinium. Full article
(This article belongs to the Topic Plant Breeding, Genetics and Genomics)
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<p>Phenotypic traits evaluated in the field study stage of blueberries (<span class="html-italic">Vaccinium corymbosum</span>), showing the variability between height and basal diameters in plants exposed to the same environmental conditions.</p>
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<p>Example of genetic variability (morphology) evidence in the studied clones of blueberries regenerated in colchicine. Vertical: Replica leaves of individual clones. Horizontal: Blueberry clones under evaluation. Left: Donor genotype Duke.</p>
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<p>Melt curves of <span class="html-italic">ATP1, COX2, GAPDH, MATK, NADH</span> and <span class="html-italic">RPOB</span> gene primers: (<b>a</b>) <span class="html-italic">ATP1</span>; (<b>b</b>) <span class="html-italic">COX2</span>; (<b>c</b>) <span class="html-italic">GAPDH</span>; (<b>d</b>) <span class="html-italic">MATK</span>; (<b>e</b>) <span class="html-italic">NADH</span>; (<b>f</b>) <span class="html-italic">RPOB</span>.</p>
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<p>Standard curves of <span class="html-italic">ATP1, COX2, GAPDH, MATK, NADH</span> and <span class="html-italic">RPOB</span> gene primers: (<b>a</b>) <span class="html-italic">ATP1</span>; (<b>b</b>) <span class="html-italic">COX2</span>; (<b>c</b>) <span class="html-italic">GAPDH</span>; (<b>d</b>) <span class="html-italic">MATK</span>; (<b>e</b>) <span class="html-italic">NADH</span>; (<b>f</b>) <span class="html-italic">RPOB</span>.</p>
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<p>Graphs of absolute expression of <span class="html-italic">ATP1, COX2, GAPDH, MATK, NADH</span> and <span class="html-italic">RPOB</span> genes in blueberry plants subjected to different treatments with colchicine (1 day, 2 days, 3 days, 5 days and 30 days): (<b>a</b>) <span class="html-italic">ATP1</span>; (<b>b</b>) <span class="html-italic">COX2</span>; (<b>c</b>) <span class="html-italic">GAPDH</span>; (<b>d</b>) <span class="html-italic">MATK</span>; (<b>e</b>) <span class="html-italic">NADH</span>; (<b>f</b>) <span class="html-italic">RPOB</span>.</p>
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<p>Graphs of relative expression of <span class="html-italic">ATP1, COX2, MATK, NADH</span> and <span class="html-italic">RPOB</span> genes in blueberry plants subjected to different treatments with colchicine (1 day, 2 days, 3 days, 5 days and 30 days). The <span class="html-italic">GAPDH</span> gene was used as the reference gene. (<b>a</b>) <span class="html-italic">ATP1</span>; (<b>b</b>) <span class="html-italic">COX2</span>; (<b>c</b>) <span class="html-italic">MATK</span>, (<b>d</b>) <span class="html-italic">NADH</span>; (<b>e</b>) <span class="html-italic">RPOB</span>.</p>
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<p>Graphs of gene stability analysis of <span class="html-italic">ATP1, COX2, GAPDH, MATK, NADH</span> and <span class="html-italic">RPOB</span> genes from blueberry plants treated with colchicine (1 day, 2 days, 3 days, 5 days and 30 days) using RefFinder software: (<b>a</b>) BestKeeper software results; (<b>b</b>) NormFinder software results; (<b>c</b>) GeNorm software results.</p>
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11 pages, 284 KiB  
Article
Influence of Mineral Fertilizer and Manure Application on the Yield and Quality of Maize in Relation to Intercropping in the Southeast Republic of Kazakhstan
by Maksat Batyrbek, Fakher Abbas, Ruqin Fan and Qingfang Han
Plants 2022, 11(19), 2644; https://doi.org/10.3390/plants11192644 - 8 Oct 2022
Cited by 3 | Viewed by 2530
Abstract
Maize (Zea mays L.) is a valuable forage crop. It is also an essential and promising crop for the Republic of Kazakhstan, cultivated in the southern zone. Some new maize hybrids have been introduced, which have been beneficial for high yields with [...] Read more.
Maize (Zea mays L.) is a valuable forage crop. It is also an essential and promising crop for the Republic of Kazakhstan, cultivated in the southern zone. Some new maize hybrids have been introduced, which have been beneficial for high yields with less fertilizer input. This study aims to introduce the new maize hybrid, Arman 689, for the judicial use of fertilizer and the high yield. This study was carried out in 2015 in the southeast region of Kazakhstan. There are five treatments with various mineral fertilizer and poultry manure doses: 1. control (T0), 2. P60 K100 (T1), 3. N100P60K100 (T2). 4. N100P60K100 + 40 tons of manure/ha (T3), and 5. N100P60K100 + 60 ton of manure/ha (T4). The fertilizers used were ammonium nitrate (N—34.6%), amorphous (N—11.0%, P2O5—46.0%), and potassium chloride KCl (K2O—56%). The results showed that the grain yield ranges from 5.51 t/ha (T0) to 8.49 (T4) t/ha. The protein contents in the maize grain varied from 9%(T0)–11.3%(T4). The grain nitrogen content accounted for 54.2 to 52.0%. The nutrient uptake results by different treatments indicated that nitrogen contributed to 41.5% of the total yield increase. Using manure in combination with mineral fertilizers reduced the payback of the applied resources, as the payback of T2–T4 was 8.8–9.1 kg of grain. With the application of recommended mineral fertilizer (NPK), the protein yield was 0.83 t/ha, 0.33, and 1.22 t/ha higher than T0 and T1 treatments, respectively. There was no significant yield difference under T3 and T4 treatments (p > 0.05). Overall, the treatment, NPK + 40 tons of manure, was proved the ultimate for the Arman hybrid in providing the optimum quantity and quality of maize, as well as reducing the payback cost (8.8–9.1 kg of grain). It is suggested to apply NPK-recommended doses along with manure in maize (Arman hybrid)-based intercropping systems to utilize the resources efficiently. Full article
(This article belongs to the Special Issue Advances in Intercropping)
12 pages, 1821 KiB  
Article
Integrative Pathogenicity Assay and Operational Taxonomy-Based Detection of New Forma Specialis of Fusarium oxysporum Causing Datepalm Wilt
by Imran Ul Haq, Siddra Ijaz, Nabeeha Aslam Khan, Iqrar Ahmad Khan, Hayssam M. Ali and Ernesto A. Moya-Elizondo
Plants 2022, 11(19), 2643; https://doi.org/10.3390/plants11192643 - 8 Oct 2022
Cited by 2 | Viewed by 2609
Abstract
Pathogenicity-associated genes are highly host-specific and contribute to host-specific virulence. We tailored the traditional Koch’s postulates with integrative omics by hypothesizing that the effector genes associated with host-pathogenicity are determinant markers for virulence, and developed Integrative Pathogenicity (IP) postulates for authenticated pathogenicity testing [...] Read more.
Pathogenicity-associated genes are highly host-specific and contribute to host-specific virulence. We tailored the traditional Koch’s postulates with integrative omics by hypothesizing that the effector genes associated with host-pathogenicity are determinant markers for virulence, and developed Integrative Pathogenicity (IP) postulates for authenticated pathogenicity testing in plants. To set the criteria, we experimented on datepalm (Phoenix dactylifera) for the vascular wilt pathogen and confirmed the pathogen based on secreted in xylem genes (effectors genes) using genomic and transcriptomic approaches, and found it a reliable solution when pathogenicity is in question. The genic regions ITS, TEF1-α, and RPBII of Fusarium isolates were examined by phylogenetic analysis to unveil the validated operational taxonomy at the species level. The hierarchical tree generated through phylogenetic analysis declared the fungal pathogen as Fusarium oxysporum. Moreover, the Fusarium isolates were investigated at the subspecies level by probing the IGS, TEF1-α, and Pgx4 genic regions to detect the forma specialis of F. oxysporum that causes wilt in datepalm. The phylogram revealed a new forma specialis in F. oxysporum that causes vascular wilt in datepalm. Full article
(This article belongs to the Special Issue Pathogenesis and Disease Control in Crops)
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<p>Expression profiling of Secreted in Xylem (SiX) genes in datepalm under <span class="html-italic">F. oxysporum</span> stress.</p>
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<p>Phylogenetic tree of the concatenated dataset of the internal transcribed spacer (ITS) region, translation elongation factor 1-alpha (TEF1-α) and RNA polymerase II second largest subunit (RPBII) using PAUP* V4.0 software.</p>
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<p>Phylogenetic tree based on the intergenic spacer (IGS) region of rDNA, using MEGA6.06 software under Neighbor-Joining (NJ) analysis, displayed a distinct and separate clade of the <span class="html-italic">F. oxysporum</span> isolates from other forma specialis with 100% bootstrap support.</p>
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<p>Phylogenetic tree based on the Polygalacturonase gene (Pgx4), using MEGA6.06 software under Neighbor-Joining (NJ) analysis, displayed a distinct and separate clade of the <span class="html-italic">F. oxysporum</span> isolates from other forma specialis with 100% bootstrap support.</p>
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<p>Phylogenetic tree based on translation elongation factor 1-α (TEF1-α) region, using MEGA6.06 software under Neighbor-Joining (NJ) analysis, displayed a distinct and separate clade of the <span class="html-italic">F. oxysporum</span> isolates from other forma specialis with 99% bootstrap support.</p>
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14 pages, 1074 KiB  
Article
Effects of Seed Endophytic Bacteria on Life History and Reproductive Traits in a Cosmopolitan Weed, Capsella bursa-pastoris
by Byungwook Choi, Tae-Min Kim, Seorin Jeong, Yousuk Kim and Eunsuk Kim
Plants 2022, 11(19), 2642; https://doi.org/10.3390/plants11192642 - 8 Oct 2022
Viewed by 1916
Abstract
Diverse bacteria inhabit plant seeds, and at least some of them can enhance plant performance at the early developmental stage. However, it is still inconclusive whether seed bacteria can influence post-germination traits and their contribution to plant fitness. To explore the evolutionary and [...] Read more.
Diverse bacteria inhabit plant seeds, and at least some of them can enhance plant performance at the early developmental stage. However, it is still inconclusive whether seed bacteria can influence post-germination traits and their contribution to plant fitness. To explore the evolutionary and ecological consequences of seed endophytic bacteria, we isolated four bacterial strains from the seeds of an annual weedy plant species, Capsella bursa-pastoris, and conducted a common garden experiment using seeds inoculated by isolated bacteria. Seeds infected by bacteria tended to germinate in spring rather than in autumn. Bacterial treatment also altered the expression of plant life history and reproductive traits, including flowering dates, rosette diameter at bolting, number of inflorescences, and fruit production. The results of the path analyses suggested that such effects of bacterial treatments were due to bacterial inoculation as well as germination delayed until spring. Spring germinants with bacterial infection showed a weaker association between post-germination traits and relative fitness than those without bacterial infection. These results suggest that seed bacteria likely affect the expression of post-germination traits directly or indirectly by delaying the germination season. An altered contribution of plant traits to relative fitness implies the influence of seed bacteria on the strength of natural selection. Full article
(This article belongs to the Section Plant Ecology)
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<p>A photograph of <span class="html-italic">C. bursa-pastoris</span> (<b>a</b>) and locations of seed sources and common garden experiment (<b>b</b>). The GPS coordinates and climatic conditions of source populations are given in <a href="#app1-plants-11-02642" class="html-app">Table S1</a>. BOP, Bongpyeong, Gwanwon-do; ICH, Icheon, Gyeonggi-do; MZS, Muzu, Jeollabuk-do; DYM, Damyang, Jeollanam-do.</p>
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<p>Effects of bacterial treatment on plant traits. Average values and standard errors of (<b>a</b>) germination rate, (<b>b</b>) proportion of spring germinants, (<b>c</b>) rosette diameter at bolting, (<b>d</b>) flowering date, (<b>e</b>) inflorescence branch number, (<b>f</b>) inflorescence height, and (<b>g</b>) fruit number are given. Asterisks indicate statistically significant differences between control and each bacterial treatment based on Dunnett’s multiple comparison tests. Abbreviations of bacterial strains are given in <a href="#plants-11-02642-t001" class="html-table">Table 1</a>. Cont, control without infection; † <span class="html-italic">p</span> &lt; 0.1, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Path analysis models showing the effects of bacterial inoculation on plant life history and reproductive traits. Bacterial treatments are analyzed separately. Solid lines indicate positive path coefficients, and dashed lines indicate negative coefficients. Line thickness is proportional to the value of path coefficient. Only significant paths are shown, and asterisks indicate the statistical significance of path. RD, rosette diameter at bolting; FD, flowering date; IH, inflorescence height; BN, inflorescence branch number; FN, fruit number; † <span class="html-italic">p</span> &lt; 0.1, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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10 pages, 775 KiB  
Article
Molecular Breeding of Water-Saving and Drought-Resistant Rice for Blast and Bacterial Blight Resistance
by Anning Zhang, Yi Liu, Feiming Wang, Deyan Kong, Junguo Bi, Fenyun Zhang, Xingxing Luo, Jiahong Wang, Guolan Liu, Lijun Luo and Xinqiao Yu
Plants 2022, 11(19), 2641; https://doi.org/10.3390/plants11192641 - 8 Oct 2022
Cited by 6 | Viewed by 2298
Abstract
Rice production is often affected by biotic and abiotic stressors. The breeding of resistant cultivars is a cost-cutting and environmentally friendly strategy to maintain a sustainable high production level. An elite water-saving and drought-resistant rice (WDR), Hanhui3, is susceptible to blast and bacterial [...] Read more.
Rice production is often affected by biotic and abiotic stressors. The breeding of resistant cultivars is a cost-cutting and environmentally friendly strategy to maintain a sustainable high production level. An elite water-saving and drought-resistant rice (WDR), Hanhui3, is susceptible to blast and bacterial blight (BB). This study was conducted to introgress three resistance genes (Pi2, xa5, and Xa23) for blast and BB into Hanhui3, using marker-assisted selection (MAS) for the foreground selection and a whole-genome single-nucleotide polymorphism (SNP) array for the background selection. As revealed by the whole-genome SNP array, the recurrent parent genome (RPG) recovery of the improved NIL was 94.2%. The resistance levels to blast and BB of the improved NIL and its derived hybrids were higher than that of the controls. In addition, the improved NIL and its derived hybrids retained the desired agronomic traits from Hanhui3, such as yield. The improved NIL could be useful to enhance resistance against biotic stressors and produce stable grain yields in Oryza sativa subspecies indica rice breeding programs. Full article
(This article belongs to the Special Issue Opportunities and Challenges in Plant Germplasm)
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<p>Schematic diagram for the development of NILs with homozygous <span class="html-italic">Pi2</span>, <span class="html-italic">xa5</span>, and <span class="html-italic">Xa23</span> loci in the genetic background of Hanhui3. MAS, marker-assisted selection. CMS, cytoplasmic male sterility.</p>
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<p>Genetic background assay and phenotype of the improved NIL. (<b>a</b>) The black lines indicate the positions of three target genes, <span class="html-italic">xa5</span> on chromosome 5, <span class="html-italic">Pi2</span> on chromosome 6, and <span class="html-italic">Xa23</span> on chromosome 11. The red lines indicate the SNP loci with homozygous genotypes where genomic fragments of the donor parents were introgressed. The green lines indicate the SNP loci with the same genotypes as the recurrent parent Hanhui3. (<b>b</b>) The phenotype of the improved NIL and recurrent parent. Left is NIL. Right is recurrent parent Hanhui3.</p>
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18 pages, 3122 KiB  
Article
The S-Gene YUC6 Pleiotropically Determines Male Mating Type and Pollen Size in Heterostylous Turnera (Passifloraceae): A Novel Neofunctionalization of the YUCCA Gene Family
by Paige M. Henning, Joel S. Shore and Andrew G. McCubbin
Plants 2022, 11(19), 2640; https://doi.org/10.3390/plants11192640 - 8 Oct 2022
Cited by 9 | Viewed by 2130
Abstract
In heterostylous, self-incompatible Turnera species, a member of the YUCCA gene family, YUC6, resides at the S-locus and has been hypothesized to determine the male mating type. YUCCA gene family members synthesize the auxin, indole-3-acetic acid, via a two-step process involving [...] Read more.
In heterostylous, self-incompatible Turnera species, a member of the YUCCA gene family, YUC6, resides at the S-locus and has been hypothesized to determine the male mating type. YUCCA gene family members synthesize the auxin, indole-3-acetic acid, via a two-step process involving the TAA gene family. Consequently, it has been speculated that differences in auxin concentration in developing anthers are the biochemical basis underlying the male mating type. Here, we provide empirical evidence that supports this hypothesis. Using a transgenic knockdown approach, we show that YUC6 acts pleiotropically to control both the male physiological mating type and pollen size, but not the filament length dimorphism associated with heterostyly in Turnera. Using qPCR to assess YUC6 expression in different transgenic lines, we demonstrate that the level of YUC6 knockdown correlates with the degree of change observed in the male mating type. Further assessment of YUC6 expression through anther development, in the knockdown lines, suggests that the male mating type is irreversibly determined during a specific developmental window prior to microsporogenesis, which is consistent with the genetically sporophytic nature of this self-incompatibility system. These results represent the first gene controlling male mating type to be characterized in any species with heterostyly. Full article
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<p>Model of the most extreme observed change in male mating type but retention of female mating type in the knockdown <span class="html-italic">TjYUC6</span> lines. Green lines represent successful pollination from the transgenic lines with self and WT lines. Blue line represents successful pollinations from the WT lines with transgenic lines. Dotted red lines represent WT pollinations.</p>
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<p>Seed set of T0 plants when self-pollinated and when acting as the pollen donor crossed with WT L- and S-morph plants. (<b>a</b>), self-pollination of T<sub>0</sub> plants; (<b>b</b>), T<sub>0</sub> plants crossed as male parent to wild type S-morph; (<b>c</b>), T<sub>0</sub> plants crossed as male parent to L-morph plants. For all analyses means sharing the same letter are not significantly different following a single factor ANOVA and Tukey’s test. For seed set data, the square root transformation was applied prior to conducting the analysis of variance. Each cross was analyzed independently of the other crosses allowing for comparison of performance within a class. When selfed F<sub>5,54</sub> = 53.2, <span class="html-italic">p</span> &lt; 0.0001; when crossed with S-morph (×S) F<sub>5,54</sub> = 23.9, <span class="html-italic">p</span> &lt; 0.0001; and when crossed with L-morph (×L) F<sub>5,54</sub> = 43.7, <span class="html-italic">p</span> &lt; 0.0001. Error bars represent the standard error. N = 10 pollinations.</p>
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<p>RT-qPCR analysis of the expression of TjYUC6 in T<sub>0</sub> lines compared to WT S-morph during: early floral development (<b>a</b>), late floral development (<b>b</b>), and the pollen from dehisced anthers (<b>c</b>). N = 3 biological replicates, n.e. = not expressed, * = <span class="html-italic">p</span>-value &lt; 0.05, and ** = <span class="html-italic">p</span>-value &lt; 0.01. <span class="html-italic">p</span>-values determined by Student’s <span class="html-italic">t</span>-test comparing the ∆CT of the respective transgenic line with that of the WT S-morph. Error bars represent the standard error of the fold change. Values represent the log2 (fold change).</p>
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<p>Quantification of the relevant floral characteristics of the T<sub>0</sub> (<b>a</b>–<b>c</b>). For all analyses, means sharing the same letter are not significantly different following a single factor ANOVA and Tukey’s test. a, filament length; b, pistil length; c, pollen length. Error bars represent the standard error. Length of the pistils of three flowers (<b>a</b>) F<sub>5,12</sub> = 277.5, <span class="html-italic">p</span> &lt; 0.0001, N = 9 pistils, 3/flower; length of the filaments of three flowers (<b>b</b>) F<sub>5,12</sub> = 120.3, <span class="html-italic">p</span> &lt; 0.0001, N = 15 filaments, 5/flower; and mean length of pollen grains from three flowers (<b>c</b>) F<sub>5,12</sub> = 17.1, <span class="html-italic">p</span> &lt; 0.0001, N = 300 pollen grains, 100/flower.</p>
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<p>RT-qPCR analysis of previously identified differentially expressed auxin-related genes in T<sub>0</sub>-15. * = <span class="html-italic">p</span>-value &lt; 0.05, and ** = <span class="html-italic">p</span>-value &lt; 0.01. <span class="html-italic">p</span>-values determined by Student’s <span class="html-italic">t</span>-test comparing the ∆CT of T<sub>0</sub>-15 or WT L-morph anthers, with that determined for WT S-morph anthers, at the stages as labelled. Error bars represent the standard error of the fold change. Values represent the log2(fold change). Note, (<b>b</b>)’s scale is extremely small compared to (<b>a</b>)’s scale to better represent the miniscule and insignificant difference in expression.</p>
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<p>Seed set of the T<sub>1</sub> when self-pollinated and when acting as the pollen donor when crossed with WT L- and S-morph. (<b>a</b>), self-pollination of T<sub>0</sub> plants; (<b>b</b>), T<sub>0</sub> plants crossed as male parent to wild type S-morph; (<b>c</b>), T<sub>0</sub> plants crossed as male parent to L-morph plants. For all analyses, means sharing the same letter are not significantly different following a single factor ANOVA and Tukey’s test. For seed set data, the square root transformation was applied prior to conducting the analysis of variance. Each cross was analyzed independently of the other crosses allowing for comparison of performance within a class. When selfed F<sub>5,54</sub> = 1.64 n.s., <span class="html-italic">p</span> &gt; 0.18; when crossed with S-morph (×S) F<sub>4,45</sub> = 249.0, <span class="html-italic">p</span> &lt; 0.0001; and when crossed with L-morph (×L) F<sub>4,45</sub> = 24.7, <span class="html-italic">p</span> &lt; 0.0001. Error bars represent the standard error. N = 10 crosses.</p>
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<p>Quantification of the relevant floral characteristics of the T1 lines. (<b>a</b>), filament length; (<b>b</b>), pistil length; (<b>c</b>), pollen length. For all analyses, means sharing the same letter are not significantly different from each other following a single factor ANOVA and Tukey’s test. Error bars represent the standard error. Length of the pistils of three flowers (<b>a</b>) F<sub>4,10</sub> = 314.5, <span class="html-italic">p</span> &lt; 0.0001, N = 9 pistils, 3/flower; length of the filaments of three flowers (<b>b</b>) F<sub>4,10</sub> = 48.8.5, <span class="html-italic">p</span> &lt; 0.0001, N = 15 filaments, 5/flower; and mean length of pollen grains from three flowers (<b>c</b>) F<sub>4,10</sub> = 14.6, <span class="html-italic">p</span> &lt; 0.0004, N = 300 pollen grains, 100/flower.</p>
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<p>RT-qPCR analysis of the expression of TjYUC6 in T<sub>1</sub> lines compared to WT S-morph during early floral development (<b>a</b>), late floral development (<b>b</b>), and the pollen from dehisced anthers (<b>c</b>). N = 3 biological replicates, n.e. = not expressed, * = <span class="html-italic">p</span>-value &lt; 0.05, and ** = <span class="html-italic">p</span>-value &lt; 0.01. <span class="html-italic">p</span>-values determined by Student’s <span class="html-italic">t</span>-test comparing the ∆CT of the respective transgenic line with that of the WT S-morph. Error bars represent the standard error of the fold change. Values represent the log2(fold change).</p>
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7 pages, 1200 KiB  
Communication
Growth and Competitiveness of ALS-Inhibiting Herbicide-Resistant Amaranthus retroflexus L.
by Ruolin Wang, Yujun Han, Ying Sun, Hongjuan Huang, Shouhui Wei and Zhaofeng Huang
Plants 2022, 11(19), 2639; https://doi.org/10.3390/plants11192639 - 8 Oct 2022
Cited by 11 | Viewed by 1738
Abstract
The evolved acetolactate synthase (ALS) inhibiting herbicide-resistant redroot amaranth has been confirmed in China and caused a great loss in soybean production. This study was conducted to evaluate the growth and competitiveness of ALS-resistant (R) and ALS-susceptible (S) redroot amaranth biotypes. Seeds of [...] Read more.
The evolved acetolactate synthase (ALS) inhibiting herbicide-resistant redroot amaranth has been confirmed in China and caused a great loss in soybean production. This study was conducted to evaluate the growth and competitiveness of ALS-resistant (R) and ALS-susceptible (S) redroot amaranth biotypes. Seeds of both R and S biotypes were subjected to different temperature regimes. Data revealed that the germination percentage and seedling vigor of both biotypes did not differ largely from each other at 10/20 to 30/40 °C. Under noncompetitive conditions, there were no significant leaf number, plant height, or dry weight differences between the R and S biotypes. Moreover, replacement series experiment results indicated that the R and S biotypes have a similar competitive ability. This study shows that there are no significant differences in growth or competitiveness between the R and S redroot amaranth biotypes regarding the physiological characteristics evaluated. Therefore, the proportion and distribution of the R biotype will not be affected in the absence of the ALS-inhibiting herbicide. Some other effective management practices should be adopted to cope with this troublesome weed. Full article
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<p>(<b>A</b>) Leaf number, (<b>B</b>) plant height, (<b>C</b>) dry weight of ALS-resistant and ALS-susceptible redroot amaranth biotypes grown under noncompetitive conditions. Bars indicate standard error.</p>
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<p>Leaves of ALS-resistant and ALS-susceptible redroot amaranth plants. The sampled leaves were the top three leaves and collected 28 DAT.</p>
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<p>Replacement series diagrams for (<b>A</b>) leaf number, (<b>B</b>) plant height, and (<b>C</b>) dry weight of resistant and susceptible biotypes at 42 DAT. Red lines indicate the hypothetical values for ALS-resistant and ALS-susceptible biotypes with equal competitiveness. Bars represent standard error.</p>
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20 pages, 970 KiB  
Article
Potential Therapeutic Properties of the Leaf of Cydonia Oblonga Mill. Based on Mineral and Organic Profiles
by Diana Melo Ferreira, Natália M. de Oliveira, Lara Lopes, Jorge Machado and Maria Beatriz Oliveira
Plants 2022, 11(19), 2638; https://doi.org/10.3390/plants11192638 - 7 Oct 2022
Cited by 16 | Viewed by 2598
Abstract
Leaf extract of Cydonia Oblonga Mill. is interesting for further exploration of the potential of its substrates for therapeutic supplements. Quantitative and qualitative analyses were conducted on samples of green (October), yellow (November), and brown (December) quince leaves collected in the region of [...] Read more.
Leaf extract of Cydonia Oblonga Mill. is interesting for further exploration of the potential of its substrates for therapeutic supplements. Quantitative and qualitative analyses were conducted on samples of green (October), yellow (November), and brown (December) quince leaves collected in the region of Pinhel, Portugal. Mineral analysis determined the measurements of the levels of several macro- and micro-elements. Organic analysis assessed the moisture content, total phenolic content (TPC), vitamin E, and fatty acid (FA) profiles. Mineral analysis was based on ICP-MS techniques, while the profiles of vitamin E and FA relied on HPLC-DAD-FLD and GC-FID techniques, respectively. Moisture content was determined through infrared hygrometry and TPC was determined by spectrophotometric methods. Regarding the mineral content, calcium, magnesium, and iron were the most abundant minerals. Concerning organic analysis, all leaf samples showed similar moisture content, while the TPC of gallic acid equivalents (GAE) and total vitamin E content, the most predominant of which was the α-tocopherol isomer, showed significant variations between green-brown and yellow leaves. FA composition in all leaf samples exhibited higher contents of SFA and PUFA than MUFA, with a predominance of palmitic and linolenic acids. Organic and inorganic analysis of quince leaves allow for the prediction of adequate physiological properties, mainly cardiovascular, pulmonary, and immunological defenses, which with our preliminary in silico studies suggest an excellent supplement to complementary therapy, including drastic pandemic situations. Full article
(This article belongs to the Section Phytochemistry)
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<p>Example of a chromatogram obtained with fluorescence detection (FP-4025 fluorescence detector, Jasco, Tokyo, Japan) for the vitamin E profile of leaf samples of <span class="html-italic">Cydonia oblonga</span> Mill. assessed by HPLC-DAD-FLD (1—α-tocopherol, 2—β-tocopherol, 3—γ-tocopherol, 4—tocol/internal standard).</p>
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<p>Example of a chromatogram obtained for the fatty acid profile of quince leaves assessed by GC-FID. C12:0—lauric acid, C14:0—myristic acid, C15:0—pentadecanoic acid, C16:0—palmitic acid, C17:0—margaric acid, C18:0—stearic acid, C18:1n9c—oleic acid, C18:2n6c—linoleic acid, C18:3n3—linolenic acid, C20:0—arachidic acid, C22:0—behenic acid, C24:0—lignoceric acid.</p>
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