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17 pages, 1935 KiB  
Article
Exogenously Applied Triacontanol Mitigates Cadmium Toxicity in Vigna radiata L. by Optimizing Growth, Nutritional Orchestration, and Metal Accumulation
by Saba Mudassar, Shakil Ahmed, Rehana Sardar, Nasim Ahmad Yasin, Muhammad Jabbar and Maximilian Lackner
Toxics 2024, 12(12), 911; https://doi.org/10.3390/toxics12120911 - 14 Dec 2024
Viewed by 496
Abstract
Cadmium (Cd) is one of the foremost phytotoxic elements. Its proportion in agricultural soil is increasing critically due to anthropogenic activities. Cd stress is a major crop production threat affecting food security globally. Triacontanol (TRIA) is a phytohormone that promotes growth, development, and [...] Read more.
Cadmium (Cd) is one of the foremost phytotoxic elements. Its proportion in agricultural soil is increasing critically due to anthropogenic activities. Cd stress is a major crop production threat affecting food security globally. Triacontanol (TRIA) is a phytohormone that promotes growth, development, and metabolic processes in plants. The current study explicates the mitigation of Cd toxicity in Vigna radiata L. (mung bean) seedlings through the application of TRIA by a seed priming technique under Cd stress. The role of TRIA in improving metabolic processes to promote Vigna radiata (mung bean, green gram) vegetative growth and performance under both stressed and unstressed conditions was examined during this study. To accomplish this, three doses of TRIA (10, 20, and 30 µmol L−1) were used to pretreat V. radiata seeds before they were allowed to grow for 40 days in soil contaminated with 20 mg kg−1 Cd. Cd stress lowered seed germination, morphological growth, and biomass in V. radiata plants. The maximum root and shoot lengths, fresh and dry weights of roots, and shoot and seed germination rates were recorded for TRIA2 compared with those of TRIA1 and TRIA3 under Cd stress. In Cd-stressed V. radiata plants, TRIA2 increased the content of chlorophyll a (2.1-fold) and b (3.1-fold), carotenoid (4.3-fold), total chlorophyll (3.1-fold), and gas exchange attributes, such as the photosynthetic rate (2.9-fold), stomatal conductance (6.0-fold), and transpiration rate (3.5-fold), compared with those in plants treated with only Cd. TRIA seed priming increased nutrient uptake (K1+, Na1+, Mg2+, and Zn2+), total phenolic content, total soluble protein content, and DPPH (2,2-diphenyl-1-picrylhydrazyl) activity. Additionally, TRIA2 significantly reduced the quantity of Cd in the plants (3.0-fold) and increased the metal tolerance index (6.6-fold) in plants contrasted with those in the Cd-treated plants. However, TRIA2 promoted plant growth and biomass production by lowering Cd-induced stress through modifying the plant antioxidant machinery and reducing oxidative stress. The improved yield characteristics of V. radiata seedlings treated with TRIA suggest that exogenous TRIA may be used to increase plant tolerance to Cd stress. Full article
(This article belongs to the Special Issue Cadmium and Trace Elements Toxicity)
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Figure 1

Figure 1
<p>Effect of TRIA and Cd on proline and total soluble protein content of <span class="html-italic">V. radiata</span>. Values demonstrate means ± SE of four replicates (n = 4). Non-identical letters over error bars exhibit significant differences between the treatments at <span class="html-italic">p</span> ≤ 0.05. C = control, Cd = 20 mg kg<sup>−1</sup> Cd, TRIA1 = 10 µM L<sup>−1</sup> TRIA, TRIA2 = 20 µM L<sup>−1</sup> TRIA, TRIA3 = 30 µM L<sup>−1</sup> TRIA.</p>
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<p>Effect of TRIA and Cd on photosynthetic rate, stomatal conductance, and transpiration rate of <span class="html-italic">V. radiata</span>. Values demonstrate means ± SE of four replicates (n = 4). Non-identical letters over error bars exhibit significant differences between the treatments at <span class="html-italic">p</span> ≤ 0.05. C = control, Cd = 20 mg kg<sup>−1</sup> Cd, TRIA1 = 10 µM L<sup>−1</sup> TRIA, TRIA2 = 20 µM L<sup>−1</sup> TRIA, TRIA3 = 30 µM L<sup>−1</sup> TRIA.</p>
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<p>Effect of TRIA and Cd on DDPH and total phenolic content of <span class="html-italic">V radiata</span>. Values demonstrate means ± SE of four replicates (n = 4). Non-identical letters over error bars exhibit significant differences between the treatments at <span class="html-italic">p</span> ≤ 0.05. C = control, Cd = 20 mg kg<sup>−1</sup> Cd, TRIA1 = 10 µM L<sup>−1</sup> TRIA, TRIA2 = 20 µM L<sup>−1</sup> TRIA, TRIA3 = 30 µM L<sup>−1</sup> TRIA.</p>
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<p>Pearson correlation for <span class="html-italic">V. radiata</span> under TRIA and Cd affect. Different abbreviated forms shown in figure as follows: Zn (Zn concentration in shoots), Mg (Mg concentration in shoots), k (K concentration in shoots), Na (Na concentration in shoots), Chl (chlorophyll), RL (root length), SL (shoot length), LA (leaf area), NP (net photosynthesis), SC (stomatal conductance), Caro (carotenoid content), Pro (protein content), Germ (germination percentage), MTI (metal tolerance index), AC (accumulation factor), Prol (proline concentration), Phe (phenolic level), NOL (number of leaves), SFW (shoot fresh weight), RFW (shoot fresh weight), RDW (root dry weight), SDW (shoot dry weight), ROT (rate of transpiration).</p>
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<p>Loading plots of principal component analysis (PCA) demonstrated a relation between physiological parameters and growth under TRIA treatment and Cd on <span class="html-italic">Vigna radiate</span> L. Various abbreviations used in the figures are as follows: Zn (Zn amount in shoots), Chl (chlorophyll concentration), RL (length of root), SL (length of shoot), LA (leaf area), NP (net photosynthesis), TR (rate of transpiration), SC (stomatal conductance), Caro (carotenoid concentration), pro (protein), MTI (metal tolerance index), AC (accumulation factor), Prol (proline concentration), Phe (phenolic content), Ger (percentage of germination).</p>
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19 pages, 1444 KiB  
Review
Possible Impacts of Elevated CO2 and Temperature on Growth and Development of Grain Legumes
by Rajanna G. Adireddy, Saseendran S. Anapalli, Krishna N. Reddy, Partson Mubvumba and Justin George
Environments 2024, 11(12), 273; https://doi.org/10.3390/environments11120273 - 2 Dec 2024
Viewed by 651
Abstract
Carbon dioxide (CO2) is the most abundant greenhouse gas (GHG) in the atmosphere and the substrate for the photosynthetic fixation of carbohydrates in plants. Increasing GHGs from anthropogenic emissions is warming the Earth’s atmospheric system at an alarming rate and changing [...] Read more.
Carbon dioxide (CO2) is the most abundant greenhouse gas (GHG) in the atmosphere and the substrate for the photosynthetic fixation of carbohydrates in plants. Increasing GHGs from anthropogenic emissions is warming the Earth’s atmospheric system at an alarming rate and changing its climate, which can affect photosynthesis and other biochemical reactions in crop plants favorably or unfavorably, depending on plant species. For the substrate role in plant carbon reduction reactions, CO2 concentration ([CO2]) in air potentially enhances photosynthesis. However, N uptake and availability for protein synthesis can be a potential limiting factor in enhanced biomass synthesis under enriched [CO2] conditions across species. Legumes are C3 plants and symbiotic N fixers and are expected to benefit from enhanced [CO2] in the air. However, the concurrent increase in air temperatures with enhanced [CO2] demands more detailed investigations on the effects of [CO2] enhancement on grain legume growth and yield. In this article, we critically reviewed and presented the online literature on growth, phenology, photosynthetic rate, stomatal conductance, productivity, soil health, and insect behavior under elevated [CO2] and temperature conditions. The review revealed that specific leaf weight, pod weight, and nodule number and weight increased significantly under elevated [CO2] of up to 750 ppm. Under elevated [CO2], two mechanisms that were affected were the photosynthesis rate (increased) and stomatal conductivity (decreased), which helped enhance water use efficiency in the C3 legume plants to achieve higher yields. Exposure of legumes to elevated levels of [CO2] when water stressed resulted in an increase of 58% in [CO2] uptake, 73% in transpiration efficiency, and 41% in rubisco carboxylation and decreased stomatal conductance by 15–30%. The elevated [CO2] enhanced the yields of soybean by 10–101%, peanut by 28–39%, mung bean by 20–28%, chickpea by 26–31%, and pigeon pea by 31–38% over ambient [CO2]. However, seed nutritional qualities like protein, Zn, and Ca were significantly decreased. Increased soil temperatures stimulate microbial activity, spiking organic matter decomposition rates and nutrient release into the soil system. Elevated temperatures impact insect behavior through higher plant feeding rates, posing an enhanced risk of invasive pest attacks in legumes. However, further investigations on the potential interaction effects of elevated [CO2] and temperatures and extreme climate events on growth, seed yields and nutritional qualities, soil health, and insect behavior are required to develop climate-resilient management practices through the development of novel genotypes, irrigation technologies, and fertilizer management for sustainable legume production systems. Full article
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<p>Response of legumes to elevated [CO<sub>2</sub>] and temperature measured from open-top chambers, free-air [CO<sub>2</sub>] enrichment experiments (FACE), and controlled indoor and outdoor growth chambers.</p>
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<p>Response of elevated [CO<sub>2</sub>] and temperature in legume crops. [<a href="#B1-environments-11-00273" class="html-bibr">1</a>,<a href="#B6-environments-11-00273" class="html-bibr">6</a>,<a href="#B98-environments-11-00273" class="html-bibr">98</a>].</p>
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16 pages, 4595 KiB  
Article
Effects of Two Trichoderma Strains on Apple Replant Disease Suppression and Plant Growth Stimulation
by Wen Du, Pengbo Dai, Mingyi Zhang, Guangzhu Yang, Wenjing Huang, Kuijing Liang, Bo Li, Keqiang Cao, Tongle Hu, Yanan Wang, Xianglong Meng and Shutong Wang
J. Fungi 2024, 10(11), 804; https://doi.org/10.3390/jof10110804 - 20 Nov 2024
Viewed by 651
Abstract
Fusarium oxysporum, the pathogen responsible for apple replant disease (ARD), is seriously threatening the apple industry globally. We investigated the antagonistic properties of Trichoderma strains against F. oxysporum HS2, aiming to find a biological control solution to minimize the dependence on chemical [...] Read more.
Fusarium oxysporum, the pathogen responsible for apple replant disease (ARD), is seriously threatening the apple industry globally. We investigated the antagonistic properties of Trichoderma strains against F. oxysporum HS2, aiming to find a biological control solution to minimize the dependence on chemical pesticides. Two of the thirty-one Trichoderma strains assessed through plate confrontation assays, L7 (Trichoderma atroviride) and M19 (T. longibrachiatum), markedly inhibited = F. oxysporum, with inhibition rates of 86.02% and 86.72%, respectively. Applying 1 × 106 spores/mL suspensions of these strains notably increased the disease resistance in embryonic mung bean roots. Strains L7 and M19 substantially protected Malus robusta Rehd apple rootstock from ARD; the plant height, stem diameter, leaf number, chlorophyll content, and defense enzyme activity were higher in the treated plants than in the controls in both greenhouse and field trials. The results of fluorescent labeling confirmed the effective colonization of these strains of the root soil, with the number of spores stabilizing over time. At 56 days after inoculation, the M19 and L7 spore counts in various soils confirmed their persistence. These results underscore the biocontrol potential of L7 and M19 against HS2, offering valuable insights into developing sustainable ARD management practices. Full article
(This article belongs to the Section Fungal Pathogenesis and Disease Control)
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Figure 1
<p>Antagonistic observation of biocontrol <span class="html-italic">Trichoderma</span> strains L7 and M19 against <span class="html-italic">F. oxysporum</span> HS2. The morphology of L7 and M19 Petri dishes is observed on the (<b>left</b>), showing a distinct light yellow antagonistic zone forming at the mycelial intersection, with <span class="html-italic">Trichoderma</span> gradually covering <span class="html-italic">F. oxysporum</span> HS2. The red boxes indicate the confrontation observation zones. In the (<b>middle</b>), microscopic observation reveals that the test strains cause twisting, collapsing, and rupturing of HS2 mycelia during the parasitism process. On the (<b>right</b>), scanning electron microscope images show <span class="html-italic">Trichoderma</span> strains coiling around the mycelia of HS2.</p>
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<p>Identification of the tested <span class="html-italic">Trichoderma</span> isolates. (<b>A</b>) Colony morphology and microscopic observation of the tested <span class="html-italic">Trichoderma</span> isolates. L7 has circular and velvety colonies with light green conidia and slender mycelia. The phialides are slender, and the conidia are nearly spherical or ovoid, measuring 3.0–4.5 μm and 2.5–4.0 μm. M19 exhibits light green conidia with colonies radiating outward from the center, showing high sporulation rates centrally. The mycelia are tree-like, and the oval-shaped conidia measure 2.0–3.0 μm and 2.0–6.0 μm. (<b>B</b>) Phylogenetic trees of two <span class="html-italic">Trichoderma</span> strains constructed based on ITS sequences. Phylogenetic tree constructed by the neighbor-joining method based on ITS sequences. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) is shown next to the branches. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Poisson correction method and are in the units of the number of amino acid substitutions per site. Based on the tree, strain M19 clustered within the <span class="html-italic">T. longibrachiatum</span> branch, while L7 clustered within the <span class="html-italic">T. atroviride</span> branch. All positions containing gaps and missing data were eliminated. Evolutionary analyses were conducted in MEGA6.</p>
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<p>Effect of <span class="html-italic">Trichoderma</span> on the growth of <span class="html-italic">M. robusta</span> Rehd seedlings. (<b>A</b>) Determination of growth indexes of <span class="html-italic">Trichoderma</span> on <span class="html-italic">M. robusta</span> Rehd. Labels (<b>a</b>–<b>f</b>) represent seedling height, root length, fresh weight, root fresh weight, leaf number, and chlorophyll content, respectively. Values with superscript letters a and b are significanty diferent across columns (<span class="html-italic">p</span> &lt; 0.05). Results showed significant improvements in <span class="html-italic">M. robusta</span> Rehd seedling parameters after treatment with strains M19 and L7 compared to the control (CK). (<b>B</b>) The effect of <span class="html-italic">Trichoderma</span> on the growth of <span class="html-italic">M. robusta</span> Rehd. CK represents <span class="html-italic">M. robusta</span> Rehd seedlings treated with only water, L7 represents seedlings treated with L7 spore suspension, and M19 represents seedlings treated with M19 spore suspension.</p>
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<p>The effect of <span class="html-italic">Trichoderma</span> on the activity of defense enzymes in the roots of <span class="html-italic">M. robusta</span> seedlings. (<b>a</b>) SOD activity, (<b>b</b>) CAT activity, (<b>c</b>) PAL activity, and (<b>d</b>) root activity. CAT activity, SOD activity, PAL activity, and root vitality were all higher in <span class="html-italic">M. robusta</span> Rehd seedlings treated with the two <span class="html-italic">Trichoderma</span> strains compared to CK. Values with superscript letters a and b are significanty diferent across columns (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effect of <span class="html-italic">Trichoderma</span> on <span class="html-italic">M. robusta</span> Rehd seedlings in normal cropping soil (60 days). (<b>A</b>) Growth of <span class="html-italic">M. robusta</span> Rehd seedlings in normal cropping soil for 60 days. CK represents <span class="html-italic">M. robusta</span> Rehd seedlings treated with only water, L7 represents seedlings treated with L7 spore suspension, and M19 represents seedlings treated with M19 spore suspension. The treatment of <span class="html-italic">Trichoderma</span> spore suspension in normal cropping soil significantly increased seedling height and demonstrated a strong growth-promoting effect. (<b>B</b>) Determination of physiological indexes of <span class="html-italic">M. robusta</span> Rehd seedlings growing in normal cropping soil for 60 days. Labels (<b>a</b>–<b>d</b>) represent seedling height, stem diameter, chlorophyll content, and leaf number, respectively. Values with superscript letters a and b are significanty diferent across columns (<span class="html-italic">p</span> &lt; 0.05). Significant enhancements in seedling height, leaf number, chlorophyll content, and root health were noted, indicating a strong growth-promoting effect.</p>
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<p>Effect of <span class="html-italic">Trichoderma</span> on <span class="html-italic">M. robusta</span> Rehd seedlings in continuous cropping soil (60 days). (<b>A</b>) Growth of <span class="html-italic">M. robusta</span> Rehd plants in continuous cropping soil for 60 days. CK represents <span class="html-italic">M. robusta</span> Rehd seedlings treated with only water, L7 represents seedlings treated with L7 spore suspension, and M19 represents seedlings treated with M19 spore suspension. The treatment of <span class="html-italic">Trichoderma</span> spore suspension in continuous cropping soil significantly increased seedling height and demonstrated a strong growth-promoting effect. (<b>B</b>) Determination of physiological indexes of <span class="html-italic">M. robusta</span> Rehd seedlings growing in continuous cropping soil for 60 days. Labels (<b>a</b>–<b>d</b>) represent seedling height, stem diameter, chlorophyll content, and leaf number, respectively. Values with superscript letters a, b and c are significanty diferent across columns (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Fluorescence observation and colonization status of two transformants in soil suspension and <span class="html-italic">M. robusta</span> Rehd root soil. (<b>A</b>) Fluorescence observed by two transformants in soil suspension. (<b>a</b>) Represents normal cropping soil; (<b>b</b>) represents continuous cropping soil; L7, M19, and MOCK are fluorescence of L7 transformant in soil, fluorescence of M19 transformant in soil, and CK of soil. Samples were taken after root drenching treatment, diluted 100 times, and fluorescence was observed under a fluorescence microscope. (<b>B</b>) Colonization status of two transformants in the soil of <span class="html-italic">M. robusta</span> Rehd root. Over time, the spore counts of the marked strains fluctuated before stabilizing. Notably, the colonization spore count of strain M19 was higher than that of strain L7 in both soil types.</p>
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17 pages, 4216 KiB  
Article
Evaluating the Influence of Different Artificial Diets on Apis mellifera L. Using Health Biomarkers and Performance Metrics
by Shams Ul Islam, Muhammad Anjum Aqueel, Muhammad Usman Yousuf, Asim Abbasi, Muhammad Yasin, Rashid Iqbal, Muhammad Fahim Raza, Aqsa Parvaiz and Nazih Y. Rebouh
Insects 2024, 15(11), 905; https://doi.org/10.3390/insects15110905 - 19 Nov 2024
Viewed by 652
Abstract
The diet of Apis mellifera L. is a crucial factor for managing its colonies particularly during dearth periods. Numerous diets have been developed; however, their global implementation faces challenges due to diverse climatic conditions and some other factors. To address this issue, three [...] Read more.
The diet of Apis mellifera L. is a crucial factor for managing its colonies particularly during dearth periods. Numerous diets have been developed; however, their global implementation faces challenges due to diverse climatic conditions and some other factors. To address this issue, three previously evaluated diets (selected from seven) were tested to assess their effects on A. mellifera using key health biomarkers (immune function, stress response) and performance metrics (foraging activity, honey quality, and social interactions). The experiment was conducted using 12 colonies, including three replications, in The Islamia University of Bahawalpur, Pakistan, from June to September 2023. The results revealed that all the tested parameters were significantly affected by diets. Highest phenol-oxidase activity was recorded in T1 (28.7 U/mg). Heat shock protein (HSP) bands showed that T1 had the fewest (Hsp70), while T0 had more bands (Hsp40, Hsp60, and Hsp70), indicating stress differences. In foraging activity, average number of outgoing bees were highest in T1 (81.8) and lowest in T0 (31.2) and similar trend was followed for returning bees, i.e., T1 (81.8) and T0 (31.2). For pollen-carrying bees, the highest bees were counted in T1 (34.9), and the lowest in T0 (4.10). Honey quality was also significantly affected by diets, pH was highest in T1 (3.85), while moisture was highest in T0 (19.44%). Diastase activity, ash content, and electrical conductivity were best in T1 (13.74 units/g, 0.17%, 0.94 mS/cm, respectively). Mineral content was highest in T1 (406.54 mg/kg), and fructose content also peaked in T1 (396.21 mg/kg). Antioxidant contents, total phenolic content, flavonoid content, and ORAC value were highest in T1 (60.50 mg GAE/100 g, 44.41 mg QE/100 g, 10,237.30 µmol TE/g), while T0 consistently showed the lowest values across all parameters. In social interaction experiments, trophallaxis events were most frequent in T1 (7.38), and T1 also exhibited the longest trophallaxis time (5.51 s). The number of bees per trophallaxis event and antennation frequency followed a similar trend, with the highest recorded in T1 (5.16 bees/event, 10.1 antennation frequency) and the lowest in T0 (2.94 bees/event, 4.18 antennation frequency). Therefore, diet-1 (Watermelon juice 20 mL + Fenugreek powder 2 g + Chickpea flour 20 g + Lupin flour 20 g + Mung bean flour 20 g + Yeast 10 g + Powdered sugar 40 g + vegetable oil 10 mL) is recommended as a suitable substitute for managing A. mellifera colonies during dearth periods. Full article
(This article belongs to the Collection Science of Insect Rearing Systems)
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Figure 1
<p>Effect of different artificial diets on phenol-oxidase activity to measure the immune functions. Bars having different lower-case letters are significantly different at probability level of 5%.</p>
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<p>SDS-PAGE analysis of heat shock-induced proteins (HSPs) from the hemolymph of forager bees. The gel was stained using Coomassie blue dye. ‘M’ represents the molecular weight marker (kDa). Identified HSPs are marked with arrows on the right side of the gel.</p>
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<p>Effect of different artificial diets on foraging activity in terms of outgoing bees over the period of eight weeks.</p>
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<p>Effect of different artificial diets on foraging activity in terms of honeybees returning back to hive over a period of eight weeks.</p>
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<p>Effect of different artificial diets on foraging activity in terms of honeybees carrying pollen over a period of eight weeks.</p>
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<p>Effect of different artificial diets on trophallaxis events over the period of eight weeks.</p>
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<p>Effect of different artificial diets on trophallaxis time (seconds) over the period of eight weeks.</p>
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<p>Effect of different artificial diets on number of bees in each trophallaxis event over a period of eight weeks.</p>
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<p>Effect of different artificial diets on antennation frequency over the period of eight weeks.</p>
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22 pages, 4584 KiB  
Article
Oviposition Preferences of the Fall Armyworm (Spodoptera frugiperda) (Lepidoptera: Noctuidae) in Response to Various Potential Repellent and Attractant Plants
by Kervin Can, Tsui-Ying Chang, Lekhnath Kafle and Wen-Hua Chen
Insects 2024, 15(11), 885; https://doi.org/10.3390/insects15110885 - 13 Nov 2024
Viewed by 987
Abstract
The fall armyworm (FAW), Spodoptera frugiperda, is a major polyphagous pest that mainly feeds on maize and other cash crops. Understanding S. frugiperda’s behavior on different host plants facilitates the development of effective integrated pest management (IPM) plans. Therefore, this study [...] Read more.
The fall armyworm (FAW), Spodoptera frugiperda, is a major polyphagous pest that mainly feeds on maize and other cash crops. Understanding S. frugiperda’s behavior on different host plants facilitates the development of effective integrated pest management (IPM) plans. Therefore, this study investigated the oviposition preferences of S. frugiperda females among different host plants using no-choice, two-choice, and multiple-choice bioassays. In no-choice bioassays, para grass, Urochloa mutica (Forssk.) (Poales: Poaceae); maize, Zea mays (L.) (Poales: Poaceae); and napier grass, Pennisetum purpureum (Schumach) (Poales: Poaceae) were identified as highly attractive, while sweet sorghum, Sorghum dochna (Forssk.) (Poales: Poaceae); sunhemp, Crotalaria juncea (L.) (Fabales:Fabacea); Egyptian clover, Trifolium alexandrinum (L.) (Fabales:Fabacea); desmodium, Desmodium uncinatum (Jacq.) (Fabales:Fabacea); natal grass, melinis repens (Zizka) (Poales: Poaceae); molasses grass, Melinis minutiflora (P.Beauv.) (Poales: Poaceae); and mung bean, Vigna radiata (R. wilczek) (Fabales: Fabaceae) exhibited reduced oviposition effects. Two-choice bioassays revealed different levels of attractiveness and repellency among different plant combinations. In multiple-choice bioassays, mimicking an intercropping scenario, differences in the number of eggs and egg mass were observed for M:S:D:W (maize, sunhemp, desmodium, and cage wall), S:D:M:W (sunhemp, desmodium, maize, and cage wall), and D:M:S:W (desmodium, maize, sunhemp, and cage wall). This study provides insights into the egg-laying preferences of S. frugiperda females among different host plants, valuable for the management of S. frugiperda. This encourages further research and further identification of novel repellent and attractant host plants, which will ultimately contribute to the development of sustainable and environmentally friendly crop production practices and techniques. Full article
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Graphical abstract

Graphical abstract
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<p>Schematic illustrations of the oviposition bioassays conducted under laboratory conditions. No-choice (<b>A</b>), two-choice (<b>B</b>), and multiple-choice (<b>C</b>) (note for multiple-choice: sunhemp (S), desmodium (D), maize (M), and cage walls (W); three plant arrangements were tested—S:D:M:W, D:M:S:W, and M:S:D:W).</p>
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<p>Number of egg masses in no-choice bioassays, under laboratory conditions, for molasses grass (<b>A</b>), desmodium (<b>B</b>), Egyptian clover (<b>C</b>), sunhemp (<b>D</b>), faba beans (<b>E</b>), napier grass (<b>F</b>), maize (<b>G</b>), natal grass (<b>H</b>), sweet sorghum (<b>I</b>), para grass (<b>J</b>), nill grass (<b>K</b>), and mung bean (<b>L</b>). Treatments that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> egg masses oviposited in the no-choice bioassays. Twelve different host plants (faba beans, para grass, molasses grass, maize, desmodium, Egyptian clover, sweet sorghum, sunhemp, nill grass, natal grass, napier grass, and mung bean) were tested in no-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Data are presented as mean ± SE. Means with the same letter are not significantly different according to Fisher’s LSD, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Number of eggs in no-choice bioassays, under laboratory conditions, for molasses grass (<b>A</b>), desmodium (<b>B</b>), Egyptian clover (<b>C</b>), sunhemp (<b>D</b>), faba beans (<b>E</b>), napier grass (<b>F</b>), maize (<b>G</b>), natal grass (<b>H</b>), sweet sorghum (<b>I</b>), para grass (<b>J</b>), nill grass (<b>K</b>), and mung bean (<b>L</b>). Treatments that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <span class="html-italic">p</span> &lt; 0.05; ***: <span class="html-italic">p</span> &lt; 0.001; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> eggs oviposited in the no-choice bioassays. Twelve different host plants (faba beans, para grass, molasses grass, maize, desmodium, Egyptian clover, sweet sorghum, sunhemp, nill grass, natal grass, napier grass, and mung bean) were tested in no-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Data are presented as mean ± SE. Means with the same letter are not significantly different according to Fisher’s LSD, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> percentage egg masses oviposited in no-choice bioassays. Twelve different host plants (faba beans, para grass, molasses grass, maize desmodium, Egyptian clover, sweet sorghum, sunhemp, nill grass, natal grass, napier grass, and mung bean) were tested in no-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Treatments that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; ***: <span class="html-italic">p</span> &lt; 0.001; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> percentage eggs oviposited in no-choice bioassays. Twelve different host plants (faba beans, para grass, molasses grass, maize desmodium, Egyptian clover, sweet sorghum, sunhemp, nill grass, natal grass, napier grass, and mung bean) were tested in no-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Treatments that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; ***: <span class="html-italic">p</span> &lt; 0.001; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Number of egg masses in two-choice bioassays, under laboratory conditions, for napier grass and nill grass (<b>A</b>), maize and sunhemp (<b>B</b>), para grass and napier grass (<b>C</b>), maize and para grass (<b>D</b>), natal grass and sunhemp (<b>E</b>), sunhemp and desmodium (<b>F</b>), napier grass and desmodium (<b>G</b>), napier grass and Egyptian clover (<b>H</b>), napier napier grass and sunhemp (<b>I</b>), natal grass and nill grass (<b>J</b>), maize and desmodium (<b>K</b>), sweet sorghum and nill grass (<b>L</b>), sweet sorghum and desmodium (<b>M</b>), nill grass and sunhemp (<b>N</b>), natal grass and desmodium (<b>O</b>), sweet sorghum and sunhemp (<b>P</b>), napier napier grass and sweet sorghum (<b>Q</b>). Treatments that are significantly different by Tukey’s post hoc test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Number of eggs in two-choice bioassays, under laboratory conditions, for napier grass and nill grass (<b>A</b>), maize and sunhemp (<b>B</b>), para grass and napier grass (<b>C</b>), maize and para grass (<b>D</b>), natal grass and sunhemp (<b>E</b>), sunhemp and desmodium (<b>F</b>), napier grass and desmodium (<b>G</b>), napier grass and Egyptian clover (<b>H</b>), napier grass and sunhemp (<b>I</b>), natal grass and nill grass (<b>J</b>), maize and desmodium (<b>K</b>), sweet sorghum and nill grass (<b>L</b>), sweet sorghum and desmodium (<b>M</b>), nill grass and sunhemp (<b>N</b>), natal grass and desmodium (<b>O</b>), sweet sorghum and sunhemp (<b>P</b>), and napier grass and sweet sorghum (<b>Q</b>). Treatments that are significantly different by Tukey’s post hoc test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> percentage egg masses oviposited in two-choice bioassays. Twelve different combinations were tested in two-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Combinations that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p><span class="html-italic">Spodoptera frugiperda</span> percentage eggs oviposited in two-choice bioassays. Twelve different combinations were tested in two-choice comparisons for oviposition by mated adult <span class="html-italic">S. frugiperda</span> moths. Treatments that are significantly different by unpaired <span class="html-italic">t</span>-test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Number of egg masses in multiple-choice bioassays, under laboratory conditions, for maize, sunhemp, desmodium, and cage wall (M:S:D:W) (<b>A</b>); desmodium, maize, sunhemp, and cage wall (D:M:S:W) (<b>B</b>); and sunhemp, desmodium, maize, and cage wall (S:D:M:W) (<b>C</b>). Data are presented as mean ± SE. Treatments that are significantly different by Tukey’s post hoc test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <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; and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Number of eggs in multiple-choice bioassays, under laboratory conditions, for maize, sunhemp, desmodium, and cage wall (M:S:D:W) (<b>A</b>); desmodium, maize, sunhemp, and cage wall (D:M:S:W) (<b>B</b>); and sunhemp, desmodium, maize, and cage wall (S:D:M:W) (<b>C</b>). Data are presented as mean ± SE. Combinations that are significantly different by Tukey’s post hoc test are indicated by; ns, <span class="html-italic">p</span> &gt; 0.05; *: <span class="html-italic">p</span> &lt; 0.05 and ****: <span class="html-italic">p</span> &lt; 0.0001.</p>
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20 pages, 1941 KiB  
Article
Screening of the Nutritional Properties, Bioactive Components, and Antioxidant Properties in Legumes
by Mihaela Multescu, Alina Culetu and Iulia Elena Susman
Foods 2024, 13(22), 3528; https://doi.org/10.3390/foods13223528 - 5 Nov 2024
Viewed by 1275
Abstract
This study provides an assessment of nutrients (protein, amino acid profiles, fiber, starch), phenolic content TPC, flavonoid content TFC, and antioxidant capacity through different in vitro methods in 12 legume species (red, green, yellow, brown, and black lentils; mung, pinto, black, and kidney [...] Read more.
This study provides an assessment of nutrients (protein, amino acid profiles, fiber, starch), phenolic content TPC, flavonoid content TFC, and antioxidant capacity through different in vitro methods in 12 legume species (red, green, yellow, brown, and black lentils; mung, pinto, black, and kidney beans; chickpea, soy, and lupin) and hemp. Legumes with a protein content above 30% were black lentil, lupin, and soy. Chickpea, soy, black bean, kidney bean, and mung bean did not have any limiting amino acids. All samples had moderate overall protein quality, except green and brown lentils. Black bean was less digestible (68.1%), while soy, hemp, and red lentil had higher protein digestibility (79.3–84.7%). Pinto bean had the highest TPC (425.19 mg GAE/100 g), comparable with hemp, but the lowest TFC (0.24 mg QE/100 g). Yellow and red lentils showed the lowest TPC (69–85.89 mg GAE/100 g). Mung bean presented the highest concentration of flavonoids (45.47 mg QE/100 g), followed by black lentil (28.57 mg QE/100 g). There were distinct variations in the antioxidant capacity across different legume samples and assays. Pinto bean, hemp, and green lentil had the highest relative antioxidant capacity index, while yellow lentil, red lentil, and chickpea presented the lowest. Dark-colored legume samples showed a higher TPC and a lower antioxidant capacity (CUPRAC and PCL assays), while yellow legumes had less antioxidant capacity (DPPH assay). A high correlation coefficient was observed between TPC and DPPH (r = 0.8133), TPC and FRAP (r = 0.8528), TPC and CUPRAC (r = 0.9425), and TPC and ACL (r = 0.8261) methods. The results highlight large variations in the legume properties and support the exploitation of the nutritional properties of legumes as raw materials for the development of products designed to fulfil modern consumer demands. Full article
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<p>In vitro protein digestibility values. Bars with different letters represent a significant difference between samples (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Antioxidant capacity using the Photochem device in an ACL (lipid-soluble antioxidant capacity) system. Bars with different letters represent a significant difference between samples (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Relative antioxidant capacity index in the legumes and hemp samples.</p>
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<p>Correlation between RACI and antioxidant capacity assays: (<b>a</b>) RACI and DPPH; (<b>b</b>) RACI and ABTS; (<b>c</b>) RACI and FRAP; (<b>d</b>) RACI and CUPRAC; (<b>e</b>) RACI and ACL.</p>
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<p>Correlation between RACI and antioxidant capacity assays: (<b>a</b>) RACI and DPPH; (<b>b</b>) RACI and ABTS; (<b>c</b>) RACI and FRAP; (<b>d</b>) RACI and CUPRAC; (<b>e</b>) RACI and ACL.</p>
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<p>Powdered legume colors in the CIE L*a*b* color coordinates are shown as bar length and bar color. The values are presented as mean values ± standard deviation (n = 10). The values followed by different letters indicate significant differences between samples (<span class="html-italic">p</span> &lt; 0.05).</p>
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18 pages, 809 KiB  
Review
Microbes in Agriculture: Prospects and Constraints to Their Wider Adoption and Utilization in Nutrient-Poor Environments
by Mustapha Mohammed and Felix D. Dakora
Microorganisms 2024, 12(11), 2225; https://doi.org/10.3390/microorganisms12112225 - 2 Nov 2024
Viewed by 1373
Abstract
Microbes such as bacteria and fungi play important roles in nutrient cycling in soils, often leading to the bioavailability of metabolically important mineral elements such as nitrogen (N), phosphorus (P), iron (Fe), and zinc (Zn). Examples of microbes with beneficial traits for plant [...] Read more.
Microbes such as bacteria and fungi play important roles in nutrient cycling in soils, often leading to the bioavailability of metabolically important mineral elements such as nitrogen (N), phosphorus (P), iron (Fe), and zinc (Zn). Examples of microbes with beneficial traits for plant growth promotion include mycorrhizal fungi, associative diazotrophs, and the N2-fixing rhizobia belonging to the α, β and γ class of Proteobacteria. Mycorrhizal fungi generally contribute to increasing the surface area of soil-root interface for optimum nutrient uptake by plants. However, when transformed into bacteroids inside root nodules, rhizobia also convert N2 gas in air into ammonia for use by the bacteria and their host plant. Thus, nodulated legumes can meet a high proportion of their N requirements from N2 fixation. The percentage of legume N derived from atmospheric N2 fixation varies with crop species and genotype, with reported values ranging from 50–97%, 24–67%, 66–86% 27–92%, 50–92%, and 40–75% for soybean (Gycine max), groundnut (Arachis hypogea), mung bean (Vigna radiata), pigeon pea (Cajanus cajan), cowpea (Vigna unguiculata), and Kersting’s groundnut (Macrotyloma geocarpum), respectively. This suggests that N2-fixing legumes require little or no N fertilizer for growth and grain yield when grown under field conditions. Even cereals and other species obtain a substantial proportion of their N nutrition from associative and endophytic N2-fixing bacteria. For example, about 12–33% of maize N requirement can be obtained from their association with Pseudomonas, Hebaspirillum, Azospirillum, and Brevundioronas, while cucumber can obtain 12.9–20.9% from its interaction with Paenebacillus beijingensis BJ-18. Exploiting the plant growth-promoting traits of soil microbes for increased crop productivity without any negative impact on the environment is the basis of green agriculture which is done through the use of biofertilizers. Either alone or in combination with other synergistic rhizobacteria, rhizobia and arbuscular mycorrhizal (AM) fungi have been widely used in agriculture, often increasing crop yields but with occasional failures due to the use of poor-quality inoculants, and wrong application techniques. This review explores the literature regarding the plant growth-promoting traits of soil microbes, and also highlights the bottle-necks in tapping this potential for sustainable agriculture. Full article
(This article belongs to the Special Issue Harnessing Beneficial Microbiota in Sustainable Agriculture)
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<p>Mechanisms of plant growth promotion by beneficial soil microbes. Rhizodeposition of organic compounds in seed and root exudates is important in shaping soil microbial community structure and activities.</p>
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1 pages, 148 KiB  
Correction
Correction: Kumar et al. Root System Architecture and Symbiotic Parameters of Summer Mung Bean (Vigna Radiata) under Different Conservation Agriculture Practices. Sustainability 2022, 14, 3901
by Arun Kumar, Kulvir Singh Saini, Lalit Kumar Rolaniya, Love Kumar Singh and Prashant Kaushik
Sustainability 2024, 16(21), 9528; https://doi.org/10.3390/su16219528 - 1 Nov 2024
Viewed by 509
Abstract
Affiliation Update: [...] Full article
14 pages, 2235 KiB  
Article
Mung Bean Functional Protein Enhances Endothelial Function via Antioxidant Activity and Inflammation Modulation in Middle-Aged Adults: A Randomized Double-Blind Trial
by Supaporn Muchimapura, Wipawee Thukhammee, Sophida Phuthong, Prapassorn Potue, Juthamas Khamseekaew, Terdthai Tong-un and Weerapon Sangartit
Foods 2024, 13(21), 3427; https://doi.org/10.3390/foods13213427 - 28 Oct 2024
Viewed by 1152
Abstract
This study examines the impact of mung bean (Vigna radiata) protein consumption on endothelial function in middle-aged adults, focusing on antioxidant enzyme activity and anti-inflammatory markers. Mung beans have shown promise in enhancing cardiovascular function, lowering blood pressure, and improving lipid [...] Read more.
This study examines the impact of mung bean (Vigna radiata) protein consumption on endothelial function in middle-aged adults, focusing on antioxidant enzyme activity and anti-inflammatory markers. Mung beans have shown promise in enhancing cardiovascular function, lowering blood pressure, and improving lipid profiles, but the underlying mechanisms of these functions remain unclear. Conducted as a three-arm randomized, double-blind, placebo-controlled trial, this study involved male and female participants aged 45 to 60 and assigned them to consume either a placebo or a mung bean functional drink containing 10 or 15 g of mung bean protein daily for six weeks. Vasodilation was assessed using flow-mediated dilation (FMD), and oxidative stress markers, antioxidant enzyme activity, and inflammatory markers were measured at baseline and after the intervention. The results indicate that six weeks of mung bean consumption significantly benefits healthy middle-aged adults by enhancing antioxidant enzyme activity and reducing inflammatory mediators’ expression. Additionally, the increase in brachial artery diameter following FMD indicates improved endothelial function. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
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<p>A flow diagram for the study trial.</p>
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<p>MDA levels (<b>A</b>) and antioxidant enzymes, catalase activity (<b>B</b>), and glutathione peroxidase (GPx) activity (<b>C</b>) of volunteers before and at 6 weeks after the intervention. Data are presented as mean ± SEM. (n = 9/group). <span class="html-italic"><sup>a</sup> p</span> &gt; 0.05 when compared with baseline, <span class="html-italic"><sup>b</sup> p</span> &lt; 0.05 when compared with placebo (post six weeks), and <span class="html-italic"><sup>c</sup> p</span> &lt; 0.05 when compared with MB10 post-intervention.</p>
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<p>Inflammatory markers, including nitrite levels (<b>A</b>), nitrate (<b>B</b>), nitric oxide (<b>C</b>), NF-kB (<b>D</b>), IL-6 (<b>E</b>), and TNF-α (<b>F</b>) of volunteers before and at 6 weeks after the intervention. Data are presented as mean ± SEM. (n = 9/group). <span class="html-italic"><sup>a</sup> p</span> &gt; 0.05 when compared with baseline, <span class="html-italic"><sup>b</sup> p</span> &lt; 0.05 when compared with placebo (post six weeks), and <span class="html-italic"><sup>c</sup> p</span> &lt; 0.05 when compared with MB10 post-intervention.</p>
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<p>Flow-mediated dilation (FMD) of volunteers before and six weeks after the intervention (<b>A</b>). Representative ultrasonographic image elucidates brachial artery diameter before occlusion (upper panel) and reperfusion (lower panel) of placebo group (<b>B</b>), MB10 (<b>C</b>), and MB15 (<b>D</b>) performed after six weeks of intervention. Data are presented as mean ± SEM of %changes of baseline (n = 9/group). <span class="html-italic"><sup>a</sup> p</span> &gt; 0.05 when compared with baseline, <span class="html-italic"><sup>b</sup> p</span> &lt; 0.05 when compared with placebo (post six weeks).</p>
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12 pages, 2184 KiB  
Article
The Physicochemical Properties and Structure of Mung Bean Starch Fermented by Lactobacillus plantarum
by Zhen Huang, Yisi Li, Tian Guo, Li Xu, Jieyao Yuan, Zuyin Li and Cuiping Yi
Foods 2024, 13(21), 3409; https://doi.org/10.3390/foods13213409 - 26 Oct 2024
Viewed by 1105
Abstract
Understanding the relationship between gel formation and the hierarchical structure of mung bean starch fermented by Lactobacillus plantarum has potential value for its green modification and quality improvement. The variations in characteristics, including gelation characteristics, starch chain, and the molecular order degree of [...] Read more.
Understanding the relationship between gel formation and the hierarchical structure of mung bean starch fermented by Lactobacillus plantarum has potential value for its green modification and quality improvement. The variations in characteristics, including gelation characteristics, starch chain, and the molecular order degree of mung bean starch fermented by different L. plantarum, were compared. The results show that in the gelation process, starch began to disintegrate at 65 °C, indicating a critical temperature for structural changes. Compared with the control group, although the effects of different L. plantarum sources on mung bean starch varied, notable improvements were observed in water absorption across all groups of fermented starch, along with reduced free water-soluble substances and enhanced anti-expansion ability. This led to the easier formation of gels with higher viscosity, primarily attributed to decreased crystallinity, increased short-chain amylopectin tendency, an elevated amylose content, and enhanced short-range order when microorganisms acted on the crystallization zone. In conclusion, although L. plantarum came from different sources, its action mode on mung bean starch was similar, which could enhance the gel structure. Full article
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<p>The hydration capacity of natural and fermented mung bean starch. (<b>A</b>) The water absorption index (WAI); (<b>B</b>) the water solubility index (WSI); and (<b>C</b>) the swelling power (SP). Note: Each value in the figure is a mean of three replicate determinations.</p>
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<p>The XRD patterns of natural and fermented mung bean starch. Note: Each value in the figure is a mean of three replicate determinations. Different lowercase letters in the figure signify significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The FT-IR spectra (<b>A</b>) and deconvoluted FT-IR spectra (<b>B</b>) of natural and fermented mung bean starch. Note: The gray portion in (<b>A</b>) constitutes the hydrogen bond stretching vibration region ranging.</p>
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<p>A schematic presentation of the changes in the mung bean starch structure during <span class="html-italic">L. plantarum</span> fermentation.</p>
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16 pages, 1939 KiB  
Article
Variations of Major Flavonoids, Nutritional Components, and Antioxidant Activities in Mung Beans (Vigna radiate L.) of Different Seed Weights
by Kebede Taye Desta, Yu-Mi Choi, Jungyoon Yi, Myoung-Jae Shin, Young-ah Jeon and Hyemyeong Yoon
Foods 2024, 13(21), 3387; https://doi.org/10.3390/foods13213387 - 24 Oct 2024
Viewed by 814
Abstract
This study examined the levels of major flavonoids, nutritional components, total secondary metabolite contents, and antioxidant activities in 136 mung bean accessions and statistically analyzed the effect of seed weight difference on each. Vitexin and isovitexin were detected in all the mung bean [...] Read more.
This study examined the levels of major flavonoids, nutritional components, total secondary metabolite contents, and antioxidant activities in 136 mung bean accessions and statistically analyzed the effect of seed weight difference on each. Vitexin and isovitexin were detected in all the mung bean accessions, with isovitexin being in a higher concentration regardless of seed weight difference. The contents of total protein and total starch were in the ranges of 22.01–28.96 and 32.62–49.03 g/100 g, respectively. Five fatty acids were detected by GC–FID analysis in all mung bean accessions, with linoleic acid being the most dominant (37.96–50.71 g/100 g). Total saponin content (TSC), total phenol content (TPC), DPPH scavenging activity, ABTS•+ scavenging activity, and ferric reducing antioxidant power (FRAP) showed more than five-fold differences. Analysis of variance supported by multivariate analysis demonstrated that seed weight difference had a significant effect on total starch, all individual fatty acids except for stearic acid and oleic acid, TSC, and all antioxidant activities except for ABTS•+ scavenging activity. On the other hand, vitexin, isovitexin, total protein, total phenol, and total fatty acid contents remained unaffected by seed weight difference. Overall, this study showed the diversity of key flavonoids, nutritional components, total secondary metabolite contents, and antioxidant activities in mung bean genetic materials. Moreover, the study unveiled how seed weight affects the analyzed parameters in mung beans for the first time. These findings could maximize the use of mung beans in food industries and breeding programs as well as lead to more studies in metabolomics and genomics. Full article
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<p>Hierarchical cluster analysis matrix (<b>a</b>), score plot of mung bean accessions based on seed weight (<b>b</b>), and loading plot of variables (<b>c</b>) obtained from PCA. ABTS: ABTS<sup>•+</sup> scavenging activity, DPPH: DPPH<sup>•</sup> scavenging activity, LA: linoleic acid, LLA: linolenic acid, OA: oleic acid, PA: palmitic acid, FRAP: ferric reducing antioxidant power, SA: stearic acid, TP: total protein, TPC: total phenolic content, TS: total starch, TSC: total saponin content, TSFA: total saturated fatty acid, TUFA: total unsaturated fatty acid.</p>
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<p>Pearson’s correlation matrix showing the association between the analyzed biochemical parameters. Small mung beans: Yellow, Medium mung beans: Purple; Large mung beans: Green. *** <span class="html-italic">p</span> &lt; 0.001, ** <span class="html-italic">p</span> &lt; 0.01, * <span class="html-italic">p</span> &lt; 0.05. ABTS: ABTS<sup>•+</sup> scavenging activity, DPPH: DPPH<sup>•</sup> scavenging activity, FRAP: ferric reducing antioxidant power, TSFA: total saturated fatty acid, and TUFA: total unsaturated fatty acid.</p>
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14 pages, 4689 KiB  
Article
Designing an Economical Water Harvesting System Using a Tank with Numerical Simulation Model WASH_2D
by Jean Bosco Nana, Hassan M. Abd El Baki and Haruyuki Fujimaki
Agronomy 2024, 14(11), 2466; https://doi.org/10.3390/agronomy14112466 - 23 Oct 2024
Viewed by 613
Abstract
Newly incorporated module into the WASH_2D model has enabled simulating a rainwater harvesting system (RWHS) using a tank. The incorporated module in WASH_2D was tested for two field experiments to determine the optimal tank capacity and cultivated area that give the highest net [...] Read more.
Newly incorporated module into the WASH_2D model has enabled simulating a rainwater harvesting system (RWHS) using a tank. The incorporated module in WASH_2D was tested for two field experiments to determine the optimal tank capacity and cultivated area that give the highest net income for farmers. The first experiment was composed of treatments A, B, and C having the same cultivated and harvested areas (plastic sheets) of 24 m2 and 12.5 m2, respectively. The capacity of the tanks for treatments A, B, and C was set at 500, 300, and 200 L, corresponding to storability of 21, 13, and 8 mm, respectively, while in the second experiment we carried out three treatments: F, G, and H having the same tank capacity of 300 L and harvested area of 12.5 m2 with variable cultivated areas as G and H were larger by two and three times than F (10.5 m2), respectively. Water was applied automatically through a drip irrigation system by monitoring soil water suction. Results of the first experiment showed that the optimal storability and seasonal net income simulated by WASH_2D were 17 mm and 5.82 USD yr−1, which were fairly close to 18 mm and 5.75 USD yr−1 observed from field data, respectively. Similarly, the results of the second experiment revealed that simulated net incomes for different cultivated areas agreed well with the observed data. We concluded that the use of the simulation model WASH_2D can be economically useful to promote small-scale irrigation in semi-arid regions and guide planning irrigation or rainwater harvesting investments. Full article
(This article belongs to the Special Issue Water Saving in Irrigated Agriculture: Series II)
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<p>New module of RWH added to the WASH 2D model.</p>
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<p>Geographical location of elevation map of the experimental field.</p>
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<p>Schematic representation of the experimental 1 design.</p>
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<p>Schematic representation of the experimental 2 design.</p>
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<p>Time evolution of rainfall and air temperature (<b>a</b>) 2021 and (<b>b</b>) 2023.</p>
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<p>Comparison of optimal tank capacity between observed in field and simulated with WASH_2D (<b>a</b>) and relationship between area and yield under SI with RWHS (<b>b</b>).</p>
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<p>Relation between change in storage reservoir and rainfall events.</p>
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<p>Relationship between cumulative irrigation depth (mm) and intensity of rainfall (mmd<sup>−1</sup>) (<b>a</b>) and relationship between cumulative storage depth (mm) and intensity of rainfall (mmd<sup>−1</sup>) (<b>b</b>).</p>
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<p>Total water supplied versus yield (<b>a</b>) and comparison between observed In in field with the simulated WASH_2D model (<b>b</b>).</p>
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54 pages, 10959 KiB  
Review
Pharmaceutical Pollutants: Ecotoxicological Impacts and the Use of Agro-Industrial Waste for Their Removal from Aquatic Environments
by Ana Gabriela Estrada-Almeida, María Luisa Castrejón-Godínez, Patricia Mussali-Galante, Efraín Tovar-Sánchez and Alexis Rodríguez
J. Xenobiot. 2024, 14(4), 1465-1518; https://doi.org/10.3390/jox14040082 - 15 Oct 2024
Viewed by 1978
Abstract
Medicines are pharmaceutical substances used to treat, prevent, or relieve symptoms of different diseases in animals and humans. However, their large-scale production and use worldwide cause their release to the environment. Pharmaceutical molecules are currently considered emerging pollutants that enter water bodies due [...] Read more.
Medicines are pharmaceutical substances used to treat, prevent, or relieve symptoms of different diseases in animals and humans. However, their large-scale production and use worldwide cause their release to the environment. Pharmaceutical molecules are currently considered emerging pollutants that enter water bodies due to inadequate management, affecting water quality and generating adverse effects on aquatic organisms. Hence, different alternatives for pharmaceuticals removal from water have been sought; among them, the use of agro-industrial wastes has been proposed, mainly because of its high availability and low cost. This review highlights the adverse ecotoxicological effects related to the presence of different pharmaceuticals on aquatic environments and analyzes 94 investigations, from 2012 to 2024, on the removal of 17 antibiotics, highlighting sulfamethoxazole as the most reported, as well as 6 non-steroidal anti-inflammatory drugs (NSAIDs) such as diclofenac and ibuprofen, and 27 pharmaceutical drugs with different pharmacological activities. The removal of these drugs was evaluated using agro-industrial wastes such as wheat straw, mung bean husk, bagasse, bamboo, olive stones, rice straw, pinewood, rice husk, among others. On average, 60% of the agro-industrial wastes were transformed into biochar to be used as a biosorbents for pharmaceuticals removal. The diversity in experimental conditions among the removal studies makes it difficult to stablish which agro-industrial waste has the greatest removal capacity; therefore, in this review, the drug mass removal rate (DMRR) was calculated, a parameter used with comparative purposes. Almond shell-activated biochar showed the highest removal rate for antibiotics (1940 mg/g·h), while cork powder (CP) (10,420 mg/g·h) showed the highest for NSAIDs. Therefore, scientific evidence demonstrates that agro-industrial waste is a promising alternative for the removal of emerging pollutants such as pharmaceuticals substances. Full article
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<p>Sources of pharmaceutical environmental pollution.</p>
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<p>Common pharmaceutical pollutants found in water bodies.</p>
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<p>Ecotoxicological impacts of pharmaceutical pollution in aquatic environments.</p>
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21 pages, 5745 KiB  
Article
The Impact of Sample Quantity, Traceability Scale, and Shelf Life on the Determination of the Near-Infrared Origin Traceability of Mung Beans
by Ming-Ming Chen, Yan Song, Yan-Long Li, Xin-Yue Sun, Feng Zuo and Li-Li Qian
Foods 2024, 13(20), 3234; https://doi.org/10.3390/foods13203234 - 11 Oct 2024
Viewed by 634
Abstract
This study aims to address the gap in understanding of the impact of the sample quantity, traceability range, and shelf life on the accuracy of mung bean origin traceability models based on near-infrared spectroscopy. Mung beans from Baicheng City, Jilin Province, Dorbod Mongol [...] Read more.
This study aims to address the gap in understanding of the impact of the sample quantity, traceability range, and shelf life on the accuracy of mung bean origin traceability models based on near-infrared spectroscopy. Mung beans from Baicheng City, Jilin Province, Dorbod Mongol Autonomous, Tailai County, Heilongjiang Province, and Sishui County, Shandong Province, China, were used. Through near-infrared spectral acquisition (12,000–4000 cm−1) and preprocessing (Standardization, Savitzky–Golay, Standard Normal Variate, and Multiplicative Scatter Correction) of the mung bean samples, the total cumulative variance contribution rate of the first three principal components was determined to be 98.16% by using principal component analysis, and the overall discriminatory correctness of its four origins combined with the K-nearest neighbor method was 98.67%. We further investigated how varying sample quantities, traceability ranges, and shelf lives influenced the discrimination accuracy. Our results indicated a 4% increase in the overall correct discrimination rate. Specifically, larger traceability ranges (Tailai-Sishui) improved the accuracy by over 2%, and multiple shelf lives (90–180–270–360 d) enhanced the accuracy by 7.85%. These findings underscore the critical role of sample quantity and diversity in traceability studies, suggesting that broader traceability ranges and comprehensive sample collections across different shelf lives can significantly improve the accuracy of origin discrimination models. Full article
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<p>Near-infrared raw spectra of mung beans of different origins and their near-infrared spectra after processing by preprocessing methods: (<b>a</b>) near-infrared raw spectra of mung beans of different origins; (<b>b</b>) near-infrared spectra of mung bean after processing using six spectral preprocessing methods such as Standardization (SS), Savitzky–Golay (SG), Standard Normal Variable (SNV), and Multiple Scattering Correction (MSC), respectively. (The lines represent a different spectral absorption peak or characteristic absorption band).</p>
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<p>Principal component rubble map of mung beans of different origins.</p>
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<p>Distribution map of mung bean feature vectors of the top 3 components extracted from PCA features with different sample quantities: (<b>a</b>) principal component plots of mung beans of different origins for 200; (<b>b</b>) principal component plots of mung beans of different origins for 400; (<b>c</b>) principal component plots of mung beans of different origins for 600.</p>
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<p>Contour plot of mung bean origin discrimination for different sample quantities: (<b>a</b>) contour map of different mung bean origins discriminated using a sample size of 200; (<b>b</b>) contour map of different mung bean origins discriminated using a sample size of 400; (<b>c</b>) contour map of different mung bean origins discriminated using a sample size of 600.</p>
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<p>Plot of actual distance of origins of different categories of mung bean samples.</p>
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<p>PCA plot of mung bean discrimination at a larger scale.</p>
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<p>PCA plot of mung bean discrimination at a smaller scale: (<b>a</b>) principal component plot of mung bean at the scale of Tailai-Baicheng; (<b>b</b>) principal component plot of mung bean at the scale of Tailai-Dorbod Mongol Autonomous.</p>
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<p>Contour plot of mung bean origin discrimination for larger and smaller scales: (<b>a</b>) contour map of mung bean at the scale of Tailai-Sishui; (<b>b</b>) contour map of mung bean at the scale of Tailai-Baicheng; (<b>c</b>) contour map of mung bean at the scale of Tailai-Borbod Mongol Autonomous.</p>
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<p>PCA plot of mung bean discrimination based on shelf life.</p>
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17 pages, 4428 KiB  
Article
Magnesium Hydride Confers Osmotic Tolerance in Mung Bean Seedlings by Promoting Ascorbate–Glutathione Cycle
by Yihua Zhang, Xing Lu, Wenrong Yao, Xiaoqing Cheng, Qiao Wang, Yu Feng and Wenbiao Shen
Plants 2024, 13(19), 2819; https://doi.org/10.3390/plants13192819 - 8 Oct 2024
Viewed by 736
Abstract
Despite substantial evidence suggesting that hydrogen gas (H2) can enhance osmotic tolerance in plants, the conventional supply method of hydrogen-rich water (HRW) poses challenges for large-scale agricultural applications. Recently, magnesium hydride (MgH2), a hydrogen storage material in industry, has [...] Read more.
Despite substantial evidence suggesting that hydrogen gas (H2) can enhance osmotic tolerance in plants, the conventional supply method of hydrogen-rich water (HRW) poses challenges for large-scale agricultural applications. Recently, magnesium hydride (MgH2), a hydrogen storage material in industry, has been reported to yield beneficial effects in plants. This study aimed to investigate the effects and underlying mechanisms of MgH2 in plants under osmotic stress. Mung bean seedlings were cultured under control conditions or with 20% polyethylene glycol (PEG)-6000, with or without MgH2 addition (0.01 g L−1). Under our experimental conditions, the MgH2 solution maintained a higher H2 content and longer retention time than HRW. Importantly, PEG-stimulated endogenous H2 production was further triggered by MgH2 application. Further results revealed that MgH2 significantly alleviated the inhibition of seedling growth and reduced oxidative damage induced by osmotic stress. Pharmacological evidence suggests the MgH2-reestablished redox homeostasis was associated with activated antioxidant systems, particularly the ascorbate–glutathione cycle. The above observations were further supported by the enhanced activities and gene transcriptional levels of ascorbate peroxidase, monodehydroascorbate reductase, dehydroascorbate reductase, and glutathione reductase. Overall, this study demonstrates the importance of MgH2 in mitigating osmotic stress in mung bean seedlings, providing novel insights into the potential agricultural applications of hydrogen storage materials. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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<p>Schematic representation of the experimental setup for this study.</p>
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<p>Comparison of H<sub>2</sub> contents in HRW and hydrolyzed MgH<sub>2</sub> solution. The means and ± SD values were obtained from three independent experiments with three biological replicates for each.</p>
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<p>The change in endogenous H<sub>2</sub> in response to MgH<sub>2</sub> and PEG treatment. (<b>A</b>) Real-time dynamics of H<sub>2</sub> release from roots of mung bean seedlings in response to PEG (20%) and MgH<sub>2</sub> (0.01 g L<sup>−1</sup>). (<b>B</b>) Endogenous H<sub>2</sub> accumulation was detected after different treatments by GC. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>MgH<sub>2</sub>-induced osmotic tolerance. After germinating for 2 days, mung bean seedlings were pretreated with or without 0.01 g L<sup>−1</sup> of MgH<sub>2</sub> for 12 h. Subsequently, seedlings were maintained in control conditions (Con) or exposed to osmotic stress (20% PEG) for 3 days. The shoot height (<b>A</b>), root length (<b>B</b>), FW and DW of 30 shoots (<b>C</b>) and 30 roots (<b>D</b>), and relative water content (<b>E</b>) were detected. (<b>F</b>) Representative phenotypes are shown. Scale bar = 5 cm. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>MgH<sub>2</sub>-conferred osmotic tolerance is likely H<sub>2</sub>-dependent. Germinated mung bean seedlings were pretreated with 0.38 mM fresh MgH<sub>2</sub> (0.01 g L<sup>−1</sup>), old MgH<sub>2</sub> (losing the ability to release H<sub>2</sub>), or 0.38 mM Mg(OH)<sub>2</sub> (22.17 g L<sup>−1</sup>) (main by-product of MgH<sub>2</sub> hydrolysis) for 12 h. The root length (<b>A</b>) and shoot height (<b>B</b>) were subsequently measured. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>Osmotic stress-induced redox imbalance was reestablished by MgH<sub>2</sub>. After different treatments for 3 days, the contents of TBARS (<b>A</b>) and REC (<b>B</b>) in roots were determined. The ROS in roots was marked by H<sub>2</sub>DCF-DA and detected by a laser scanning confocal microscope (<b>C</b>). Scale bar = 100 μm. The relative fluorescence densities are presented as values relative to Con<tt>→</tt>Con (<b>D</b>). Meanwhile, the H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>·<sup>−</sup> in roots were histochemically stained by DAB (<b>E</b>) and NBT (<b>F</b>), respectively. Scale bar = 1 cm. The corresponding contents were spectrophotometrically analyzed (<b>G</b> and <b>H</b>, respectively). The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters and * indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test or <span class="html-italic">t</span>-test.</p>
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<p>The activities and transcriptional levels of antioxidant enzymes were modulated by MgH<sub>2</sub> under osmotic stress. After different treatments for 2 days, the activities of CAT (<b>A</b>), POD (<b>B</b>), and SOD (<b>C</b>) in roots were assessed. Following different treatments for 1 day, the corresponding transcriptional levels of <span class="html-italic">VrCAT</span> (<b>D</b>), <span class="html-italic">VrPOD</span> (<b>E</b>), and <span class="html-italic">VrCu/Zn-SOD</span> and <span class="html-italic">VrMn-SOD</span> (<b>F</b>) were analyzed. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>Effects of MgH<sub>2</sub> on AsA metabolism under osmotic stress. After different treatments for 3 days, the contents of AsA (<b>A</b>) and DHA (<b>B</b>) in roots were detected. The ratio of AsA to DHA was calculated in (<b>C</b>). The AsA content was further validated by HPLC (<b>D</b>). The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>Effects of MgH<sub>2</sub> on GSH metabolism under osmotic stress. After different treatments for 3 days, the contents of GSH (<b>A</b>) and GSSG (<b>B</b>) in roots were detected. The ratio of GSH to GSSG was calculated in (<b>C</b>). The GSH content was further confirmed by a laser scanning confocal microscope with an MCB fluorescent probe (<b>D</b>). Scale bar = 250 μm. Relative fluorescence densities are presented as values relative to Con<tt>→</tt>Con (<b>E</b>). The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters and * indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test or <span class="html-italic">t</span>-test.</p>
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<p>The activities of key enzymes involved in the AsA-GSH cycle modulated by MgH<sub>2</sub> under osmotic stress. After different treatments for 2 days, the activities of APX (<b>A</b>), MDHAR (<b>B</b>), DHAR (<b>C</b>), and GR (<b>D</b>) in roots were analyzed. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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<p>The transcriptional levels of key genes involved in the AsA-GSH cycle regulated by MgH<sub>2</sub> under osmotic stress. After different treatments for 1 day, the transcriptional levels of <span class="html-italic">VrAPX</span> (<b>A</b>), <span class="html-italic">VrMDHAR</span> (<b>B</b>), <span class="html-italic">VrDHAR</span> (<b>C</b>), and <span class="html-italic">VrGR</span> (<b>D</b>) in roots were analyzed. The means and ± SD values were obtained from three independent experiments with three biological replicates for each. The different letters indicate significantly different values (<span class="html-italic">p</span> &lt; 0.05) according to Tukey’s multiple range test.</p>
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