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19 pages, 9129 KiB  
Article
Diagnosis of Protected Agriculture in Imbabura—Ecuador, Period 2016–2023
by Luis Marcelo Albuja-Illescas, Andrés Manolo Carrión-Burgos, Rafael Jiménez-Lao and María Teresa Lao
Agronomy 2025, 15(1), 166; https://doi.org/10.3390/agronomy15010166 - 11 Jan 2025
Viewed by 630
Abstract
Protected agriculture in Ecuador began in the 1990s and has expanded due to its comparative advantages over open field production. However, there are no statistics on this sector, which limits decision-making. The aim of this research was to provide a baseline of greenhouse [...] Read more.
Protected agriculture in Ecuador began in the 1990s and has expanded due to its comparative advantages over open field production. However, there are no statistics on this sector, which limits decision-making. The aim of this research was to provide a baseline of greenhouse agriculture in Imbabura. Sentinel-2 satellite imagery was used to estimate the spatial distribution of plastic-covered surface area in 2016 and 2023. To minimize biases in estimation, manual verification was also conducted. Based on population data, a structured survey was administered to a probabilistic sample of 234 greenhouses. The results highlight the presence of 1958 greenhouses that cover 527 hectares, with an average of 0.26 hectares. The greenhouses were characterized in terms of their design, construction materials and equipment. The main crop under plastic is tomato, with 76.9%, of which the management characteristics and the productive and economic results obtained in 2023 were identified. The findings could inform the formulation of public policies or specific interventions to strengthen protected agriculture in the region; however, support mechanisms are needed to fully exploit its potential. Among these, producer organization could be a viable strategy to address food security challenges in the context of climate change. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
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<p>Sentinel 2A image in two band combinations: (<b>a</b>) Shortwave infrared (2190 nm)–red-blue; (<b>b</b>) true color. The shortwave infrared (2190 nm) and blue bands facilitate the discrimination of greenhouses.</p>
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<p>(<b>a</b>) Detail of the PGHI index calculated through a Sentinel 2A image. (<b>b</b>) Definition of greenhouse boundaries in high-resolution images.</p>
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<p>Spatial distribution of greenhouses in Imbabura in the years 2016 and 2023.</p>
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<p>Number of greenhouses and their cantonal distribution in Imbabura by 2023.</p>
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<p>Number of greenhouses according to surface ranges.</p>
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<p>Dynamics of the price of tomatoes (kg) in the Ibarra wholesale market in 2023.</p>
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<p>Availability of support services for greenhouse production in 2023.</p>
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27 pages, 8994 KiB  
Article
Agrobiodiversity as a Reservoir of Medicinal Resources: Ethnobotanical Insights from Aymara Communities in the Bolivian Andean Altiplano
by Simón Cocarico, Diego Rivera, Stephan Beck and Concepción Obón
Horticulturae 2025, 11(1), 50; https://doi.org/10.3390/horticulturae11010050 - 6 Jan 2025
Viewed by 425
Abstract
This study investigates the medicinal potential of cultivated plants and weeds in Aymara communities around Lake Titicaca. It highlights the intricate connection between horticultural diversity and traditional healing practices. Through ethnobotanical research involving 228 informants across multiple locations in Bolivia, we documented 239 [...] Read more.
This study investigates the medicinal potential of cultivated plants and weeds in Aymara communities around Lake Titicaca. It highlights the intricate connection between horticultural diversity and traditional healing practices. Through ethnobotanical research involving 228 informants across multiple locations in Bolivia, we documented 239 medicinal plant species, focusing on the diversity within cultivated landscapes. Among these, 56 species are cultivated crops, 17 are agricultural weeds, and 19 species have dual status, serving as both wild and cultivated plants depending on environmental conditions. Women are repositories of knowledge for 81% (193) of total medicinal plant species, while men know 47% (113) of species. Women display dominant knowledge of cultivated species (89%, or 50 species) and purchase medicinal plants from local markets; women know 92% (24 species) vs. men’s 15% (4 species). Our results suggest men may use a smaller set of species more frequently, while women know and use a broader range of species. The analysis of plant life forms revealed the significant medicinal roles of perennials, annuals, subshrubs, and shrubs, which together account for over 67% of the documented species and 73% of the use reports. Arboreal species are present but have a comparatively smaller role in traditional medicine. In total, we recorded 1477 use reports addressing 260 pathologies across 28 major health categories. Notably, cultivated plants and weeds represent 38.8% of the medicinal species, highlighting their essential role in local healthcare practices. By assessing the contributions of native and introduced species, this study sheds light on the complex botanical resources integrated into Aymara agricultural systems. These findings deepen our understanding of medicinal plant diversity and underscore the importance of agrobiodiversity as a cornerstone of community health and cultural resilience in the Andean region. This research also emphasizes the often-overlooked medicinal value of cultivated landscapes and agricultural margins. Full article
(This article belongs to the Section Medicinals, Herbs, and Specialty Crops)
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<p>Situation and provinces of the study area. Image elaborated by S. Cocarico using as a base <a href="https://upload.wikimedia.org/wikipedia/commons/6/6f/Bolivia_Topography.png" target="_blank">https://upload.wikimedia.org/wikipedia/commons/6/6f/Bolivia_Topography.png</a>, accessed on 15 September 2024.</p>
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<p>Medicinal plant families: relative relevance in terms of numbers of species and records. Image: Diego Rivera.</p>
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<p>Agricultural relevance and medicinal records of cultivated species among the Aymara of the Bolivian Altiplano. (*) Purple characters used to mark native medicinal crops. Image: Diego Rivera.</p>
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<p>Fields of potato and barley in Pujrata. Image: Simón Cocarico.</p>
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<p>(<b>A</b>) <span class="html-italic">Spartium junceum</span> L.; (<b>B</b>) Santa Mariya, <span class="html-italic">Tanacetum parthenium</span> (L.) Sch.Bip.; (<b>C</b>) <span class="html-italic">Chenopodium quinoa</span> field at Gran Puni.; (<b>D</b>) <span class="html-italic">Baccharis latifolia</span> Pers.; (<b>E</b>) Tarwi field, <span class="html-italic">Lupinus mutabilis</span> Sweet; (<b>F</b>) processed <span class="html-italic">Clinopodium bolivianum</span> (Benth.) Kuntze; (<b>G</b>) onion (<span class="html-italic">Allium cepa</span> L.) field. Images: Simón Cocarico.</p>
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<p>Types and provenance of the medicinal plant resources in the Bolivian Altiplano. Graphics: Diego Rivera.</p>
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<p>Relative contribution of local crop fields (crops and weeds) to the traditional treatment of major categories of diseases in the Bolivian Altiplano compared with wild plants and those imported in terms of absolute number of records. Graphic: Diego Rivera.</p>
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<p>Seller of cultivated and wild food and medicinal plants, including <span class="html-italic">Spartium junceum</span> L., <span class="html-italic">Matricaria chamomilla</span> L., <span class="html-italic">Cymbopogon citratus</span> (DC.) Stapf, <span class="html-italic">Lupinus mutabilis</span> Sweet, <span class="html-italic">Equisetum</span> sp. Image: Simón Cocarico.</p>
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20 pages, 12150 KiB  
Article
A Study on the Infrageneric Classification of Hordeum Using Multiple Methods: Based on Morphological Data
by Nayoung Ro, Pilmo Sung, Mesfin Haile, Hyemyeong Yoon, Dong-Su Yu, Ho-Cheol Ko, Gyu-Taek Cho, Hee-Jong Woo and Nam-Jin Chung
Agronomy 2025, 15(1), 60; https://doi.org/10.3390/agronomy15010060 - 29 Dec 2024
Viewed by 322
Abstract
The genus Hordeum (barley) represents an essential group within the Poaceae family, comprising diverse species with significant ecological and economic importance. This study aims to improve the infrageneric classification of Hordeum by integrating multiple analytical approaches based on morphological data. A comprehensive dataset [...] Read more.
The genus Hordeum (barley) represents an essential group within the Poaceae family, comprising diverse species with significant ecological and economic importance. This study aims to improve the infrageneric classification of Hordeum by integrating multiple analytical approaches based on morphological data. A comprehensive dataset of key morphological traits was compiled from a wide range of Hordeum accessions, including representatives from all major taxonomic groups within the genus. Understanding and classifying the evolutionary traits of barley species, particularly in terms of environmental adaptation, pest resistance, and productivity improvement, is essential. DNA-based classification methods allow precise molecular-level analysis but are resource-intensive, especially when large-scale processing is required. This study addresses these limitations by employing an integrative approach combining hierarchical clustering, Principal Component Analysis–Linear Discriminant Analysis (PCA-LDA), and Random Forest (RF) to analyze the compiled morphological datasets. Morphological clustering via hierarchical analysis revealed clear taxonomic distinctions, achieving 86.0% accuracy at the subgenus level and 83.1% at the section level. PCA-LDA further refined classification by identifying key traits such as seed width, area, and 100-seed weight as primary contributors, achieving perfect accuracy for the Hordeum section and high accuracy for species like Hordeum vulgare and Hordeum spontaneum. RF analysis enhanced classification performance, achieving 100% accuracy at the section level and high accuracy for species with sufficient data. This approach offers a new framework for classifying diverse barley species and contributes significantly to data-driven decision-making in breeding and conservation efforts, supporting a deeper understanding of barley’s adaptive evolution in response to environmental changes. Full article
(This article belongs to the Special Issue Genetics and Breeding of Field Crops in the 21st Century)
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<p>Comparison of 17 agronomic traits among different sections: <span class="html-italic">Hordeum</span>, <span class="html-italic">Stenostachys</span>, <span class="html-italic">Trichostachys</span>, <span class="html-italic">Marina</span>, and <span class="html-italic">Nodosa</span>. Box plots represent the distribution of 17 agronomic traits for each section. Statistical significance was determined using Wilcoxon rank sum tests for pairwise comparisons between sections. Significance levels are indicated by asterisks: **** <span class="html-italic">p</span> &lt; 0.0001, *** <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, and “ns” denotes no significant difference. The results reveal significant differences in days to flowering across several sections, with <span class="html-italic">Hordeum</span> and <span class="html-italic">Stenostachys</span> showing particularly notable differences from other sections. (<b>A</b>) Days to flowering, (<b>B</b>) Days to maturity, (<b>C</b>) Culm length (cm), (<b>D</b>) Number of triple-spikelets, (<b>E</b>) Central-spikelet awn length (cm), (<b>F</b>) Central-spikelet glume length (cm), (<b>G</b>) Lateral-spikelet awn length (cm), (<b>H</b>) Lateral-spikelet glume length (cm), (<b>I</b>) Spike length (cm), (<b>J</b>) Flag-leaves area (cm<sup>2</sup>), (<b>K</b>) Flag-leaves length (cm), (<b>L</b>) Flag-leaves width (cm), (<b>M</b>) 100-seed weight (g), (<b>N</b>) Seed area (mm<sup>2</sup>), (<b>O</b>) Seed length (mm), (<b>P</b>) Seed width (mm), (<b>Q</b>) Seed roundness.</p>
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<p>Dendrogram of the hierarchical clustering of species based on Euclidean distance and McQuitty’s (WPGMA) clustering method. The analysis grouped the species into two main classes (Class1, Class2), further divided into nine subclasses (Subclass 1–9), as indicated within the dendrogram. Each branch represents a unique taxonomic group based on the morphological traits analyzed, with clustering patterns reflecting similarity levels among the species. Class1 primarily consists of 60.5% accessions from the <span class="html-italic">Hordeastrum</span> subgenus, while Class2 is entirely composed of accessions from the <span class="html-italic">Hordeum</span> subgenus. The five sections (<span class="html-italic">Hordeum</span>, <span class="html-italic">Stenostachys</span>, <span class="html-italic">Trichostachys</span>, <span class="html-italic">Marina</span>, and <span class="html-italic">Nodosa</span>) are color-coded for clear visualization of sectional affiliations.</p>
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<p>Linear Discriminant Analysis (LDA) classification results based on the top 10 traits selected from PCA (<b>A</b>,<b>B</b>). (<b>A</b>) The left scatter plot shows the classification of <span class="html-italic">Hordeum</span> sections using two LDA components, illustrating clear separation among the five sections: <span class="html-italic">Hordeum</span>, <span class="html-italic">Stenostachys</span>, <span class="html-italic">Trichostachys</span>, <span class="html-italic">Marina</span>, and <span class="html-italic">Nodosa</span>. (<b>B</b>) The right scatter plot presents species-level classification, where individual <span class="html-italic">Hordeum</span> species are distinctly separated based on the same two LDA components. These visualizations demonstrate the effectiveness of the selected traits in distinguishing both sections and species within the <span class="html-italic">Hordeum</span> genus, with high clustering consistency among groups.</p>
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<p>Confusion matrices for LDA classification of <span class="html-italic">Hordeum</span> sections and species based on PCA-selected traits (<b>A</b>,<b>B</b>). The analysis was conducted using 70% of the data as training data and 30% as testing data. (<b>A</b>) The left matrix shows the section-level classification results, where most sections (<span class="html-italic">Hordeum</span>, <span class="html-italic">Marina</span>, <span class="html-italic">Nodosa</span>, <span class="html-italic">Stenostachys</span>, and <span class="html-italic">Trichostachys</span>) exhibit high accuracy, with only minor misclassifications observed among similar sections. (<b>B</b>) The right matrix illustrates the species-level classification, with distinct separation among <span class="html-italic">Hordeum</span> species, though some species show slight misclassification, due to close morphological similarities. These confusion matrices provide a visual representation of the classification performance, highlighting the effectiveness of PCA-LDA in distinguishing sections and species within the <span class="html-italic">Hordeum</span> genus.</p>
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<p>Trait importance for section and species classification using PCA-LDA (<b>A</b>,<b>B</b>). (<b>A</b>) The feature importance for section classification, (<b>B</b>) the feature importance for species classification. Traits include days to flowering, days to maturity, culm length, spike length, number of triple-spikelets, lateral-spikelet awn length, central-spikelet awn length, flag-leaf area, flag-leaf length, flag-leaf width, 100-seed weight, seed area, seed length, and seed width.</p>
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<p>Confusion matrices for section and species classification using RF analysis based on 17 traits (<b>A</b>,<b>B</b>). The analysis was conducted with 70% of the data as training data and 30% as testing data. (<b>A</b>) The left confusion matrix shows the section-level classification results, demonstrating high accuracy in distinguishing sections such as <span class="html-italic">Hordeum</span>, <span class="html-italic">Marina</span>, <span class="html-italic">Nodosa</span>, <span class="html-italic">Stenostachys</span>, and <span class="html-italic">Trichostachys</span>. (<b>B</b>) The right confusion matrix presents species-level classification results, where most <span class="html-italic">Hordeum</span> species were accurately classified, although slight misclassifications occurred for some species. These confusion matrices visually illustrate the effectiveness of RF in classifying both sections and species within the <span class="html-italic">Hordeum</span> genus, based on the selected 17 traits.</p>
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<p>Visualization of decision tree from random forest model (<b>A</b>,<b>B</b>). This figure shows a simplified visualization of a single decision tree derived from the RF model, with a limited depth. Each node represents a feature-based data split, and includes the Gini impurity value, along with the number of samples classified into each class. From top to bottom, the figure illustrates the progressive division of data into increasingly specific classes. (<b>A</b>) represents the Section classification results, distinguishing the data at a higher hierarchical level to identify different sections. (<b>B</b>) shows the Species classification results, focusing on finer distinctions to classify species within each section.</p>
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<p>Visualization of decision tree from random forest model (<b>A</b>,<b>B</b>). This figure shows a simplified visualization of a single decision tree derived from the RF model, with a limited depth. Each node represents a feature-based data split, and includes the Gini impurity value, along with the number of samples classified into each class. From top to bottom, the figure illustrates the progressive division of data into increasingly specific classes. (<b>A</b>) represents the Section classification results, distinguishing the data at a higher hierarchical level to identify different sections. (<b>B</b>) shows the Species classification results, focusing on finer distinctions to classify species within each section.</p>
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<p>Trait importance for section and species classification using RF analysis based on 17 traits (<b>A</b>,<b>B</b>). (<b>A</b>) The feature importance for section classification, where seed length, culm length, seed area, and spike length are among the traits with the highest importance in distinguishing <span class="html-italic">Hordeum</span> sections. (<b>B</b>) The feature importance for species classification, with lateral-spikelet awn length, seed width, and seed area showing the highest contributions in differentiating <span class="html-italic">Hordeum</span> species. These graphs highlight the key traits that play a significant role in classifying both sections and species within the <span class="html-italic">Hordeum</span> genus, demonstrating the effectiveness of RF in identifying essential morphological traits for accurate classification.</p>
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16 pages, 1584 KiB  
Article
Life History Parameters of the Invasive Cotton Mealybug Phenacoccus solenopsis on Tomato at Four Constant Temperatures
by Ahlem Harbi, Khaled Abbes, Brahim Chermiti and Pompeo Suma
Insects 2025, 16(1), 16; https://doi.org/10.3390/insects16010016 - 27 Dec 2024
Viewed by 373
Abstract
The cotton mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae), is an invasive polyphagous pest that has been reported in several tomato-producing Mediterranean countries. However, information regarding the impact of temperature variations on its potential damage and population dynamics on this crop is limited. The [...] Read more.
The cotton mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae), is an invasive polyphagous pest that has been reported in several tomato-producing Mediterranean countries. However, information regarding the impact of temperature variations on its potential damage and population dynamics on this crop is limited. The effect of four temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C) on the development, reproduction, and population growth parameters of P. solenopsis on tomatoes under controlled laboratory conditions was investigated using age-stage two-sex life tables. The increase in temperature caused a significant decrease in the developmental periods of all instars except eggs. The shortest durations of the life cycle (29.58 ± 0.28 days for females and 13.91 ± 0.25 days for males), the adult preoviposition period (APOP), and the total preoviposition period (TPOP) (APOP: 7.78 ± 0.09 days and TPOP: 18.33 ± 0.13 days) were obtained at 35 ± 1 °C. Fecundity varied with temperature, and the highest value was recorded at 30 ± 1 °C (183.29 ± 7.13 eggs/female). The highest average net reproduction rate (R0) (154.24 ± 14.681 offspring/female), intrinsic rate of increase (r) (0.222 ± 0.0036 d−1), and finite rate of increase (λ) (1.248 ± 0.00495 d−1) were observed at 35 ± 1 °C. A simulation of population increase and structure under different temperatures over a period of 90 days revealed that the greatest expected population size was at 35 ± 1 °C, with the completion of four overlapping generations. The data from this study provide valuable information for adapted pest management approaches against P. solenopsis on tomato crops. Full article
(This article belongs to the Collection Biology and Management of Sap-Sucking Pests)
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<p>Survival rate of different developmental stages of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH, and 16:8 h (L:D)).</p>
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<p>Age-specific survival rate (<span class="html-italic">l<sub>x</sub></span>), female age-specific fecundity (<span class="html-italic">f<sub>x</sub></span>), age-specific fecundity (<span class="html-italic">m<sub>x</sub></span>) and age-specific maternity (<span class="html-italic">l<sub>x</sub></span>*<span class="html-italic">m<sub>x</sub></span>) versus age of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH, and 16:8 h (L:D)).</p>
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<p>The age-stage life expectancy of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH, and 16:8 h (L:D)).</p>
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<p>Age-stage reproductive values of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH, and 16:8 h (L:D)).</p>
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<p>Population growth and structure predictions of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH and, 16:8 h (L:D)) starting from an initial population of 10 eggs and without control methods.</p>
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<p>Total adult size (<span class="html-italic">N<sub>t</sub></span>) of <span class="html-italic">Phenacoccus solenopsis</span> on tomatoes at different temperatures (20 ± 1 °C, 25 ± 1 °C, 30 ± 1 °C and 35 ± 1 °C, 60 ± 5% RH and 16:8 h (L:D)) in time intervals (<b>A</b>) 10–30 d, (<b>B</b>) 50–60 d, and (<b>C</b>) 80–90 d starting from an initial population of 10 eggs and without control methods.</p>
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20 pages, 896 KiB  
Article
Community-Based Conservation Strategies for Wild Edible Plants in Turkana County, Kenya
by Francis Oduor, Dasel Mulwa Kaindi, George Abong, Faith Thuita and Céline Termote
Conservation 2025, 5(1), 1; https://doi.org/10.3390/conservation5010001 - 24 Dec 2024
Viewed by 461
Abstract
In arid Turkana County, over 90% of the population is food insecure, and wild edible plants (WEPs) provide 12–30% of dietary intake. However, climate change and overexploitation threaten these crucial resources. This study employed sequential qualitative methods to investigate community perceptions, conservation priorities [...] Read more.
In arid Turkana County, over 90% of the population is food insecure, and wild edible plants (WEPs) provide 12–30% of dietary intake. However, climate change and overexploitation threaten these crucial resources. This study employed sequential qualitative methods to investigate community perceptions, conservation priorities for WEPs, barriers, and necessary actions in Turkana. It combined participatory community workshops and expert validation interviews. The research revealed critical threats to WEP availability, including climate change, shifting cultural practices, and a lack of natural regeneration. Key conservation barriers included intergenerational knowledge gaps, inadequate policy implementation, and conflicts between immediate needs and long-term conservation goals. In developing conservation plans, the stakeholders identified and prioritized WEP species based on food value, medicinal properties, cultural significance, utility, and drought resistance. The co-developed conservation strategy emphasized both in situ protection measures, such as community awareness programs and local policy enforcement mechanisms, and restoration actions that include planting prioritized WEPs in home gardens and community spaces. Collaborative roles for communities, non-governmental organizations, researchers, and government actors were identified to provide training, resources, and technical support. This strategy also emphasizes the need for incentivization through food/cash-for-work programs and small business grants to promote alternative livelihoods. The strategies align with some of the most-utilized conservation frameworks and principles, and present new ideas such as integrating indigenous knowledge. Expert validation confirmed the feasibility of proposed actions, highlighting the importance of multi-stakeholder approaches. This study contributes to expanding our knowledge base on community-based conservation and provides insights for policymakers, emphasizing WEPs’ critical role in food security, cultural preservation, and ecological resilience. The findings could serve as a model for similar initiatives in other arid regions facing comparable challenges. Full article
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<p>Integrated community-led conservation strategy for WEPs in Turkana County, Kenya.</p>
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37 pages, 3583 KiB  
Review
Phytochemistry, Anti-cancer, and Anti-diabetic Properties of Plant-Based Foods from Mexican Agrobiodiversity: A Review
by Adriana García-Gurrola, Ana Laura Martínez, Abraham Wall-Medrano, Francisco J. Olivas-Aguirre, Estefania Ochoa-Ruiz and Alberto A. Escobar-Puentes
Foods 2024, 13(24), 4176; https://doi.org/10.3390/foods13244176 - 23 Dec 2024
Viewed by 881
Abstract
Type 2 diabetes mellitus (T2DM) and cancer are significant contributors to morbidity and mortality worldwide. Recent studies have increasingly highlighted the potential of phytochemicals found in plants and plant-based foods for preventing and treating these chronic diseases. Mexico’s agrobiodiversity provides a valuable resource [...] Read more.
Type 2 diabetes mellitus (T2DM) and cancer are significant contributors to morbidity and mortality worldwide. Recent studies have increasingly highlighted the potential of phytochemicals found in plants and plant-based foods for preventing and treating these chronic diseases. Mexico’s agrobiodiversity provides a valuable resource for phytochemistry. This review presents an examination of essential phytochemicals found in plants and foods within Mexican agrobiodiversity that have shown promising anti-cancer and anti-diabetic properties, including their roles as antioxidants, insulin sensitizers, and enzyme inhibitors. Notable compounds identified include flavonoids (such as quercetin and catechins), phenolic acids (chlorogenic, gallic, and caffeic acids), methylxanthines (like theobromine), xanthones (such as mangiferin), capsaicinoids (capsaicin), organosulfur compounds (like alliin), and various lipids (avocatins). Although these phytochemicals have shown promise in laboratory and animal studies, there is a significant scarcity of clinical trial data involving humans, underscoring an important area for future research. Full article
(This article belongs to the Section Food Nutrition)
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<p>Mexican plants and plant-based foods representative of Mexican agrobiodiversity.</p>
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<p>Mechanisms of anti-diabetic and anti-cancer effects of Mexican plants and plant-based foods. The anti-diabetic mechanisms of phytochemicals are primarily based on their ability to inhibit glycolytic enzymes and reduce glucose absorption in the intestines. They also promote the secretion of glucagon-like peptide-1 (GLP-1). At the pancreatic level, these compounds decrease oxidative stress and support the proper differentiation of β-cells while enhancing insulin secretion. Additionally, phytochemicals facilitate the translocation of glucose transporters (GLUT4) in muscle tissue, aiding in the cellular uptake of glucose. They also promote the correct metabolism and homeostasis of glucose in the liver. In terms of cancer, phytochemicals positively influence various stages of the disease. During the initiation phase, they regulate the cell cycle and improve the antioxidant environment by increasing levels of antioxidant enzymes such as superoxide dismutase (SOD), glutathione S-transferase (GST), and glutathione peroxidase (GPx). In the promotion phase, phytochemicals downregulate the production of cytokines associated with tumor progression, precisely tumor necrosis factor (TNF-α) and nuclear factor kappa light-chain enhancer of activated B cells (NF-κB). During the progression phase, they activate pro-apoptotic genes (like P53) and pro-apoptotic proteins (Caspase-3/9 and BAX). Finally, in the metastasis phase, phytochemicals reduce the activity of NF-κB and Wnt/B-catenin pathways.</p>
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16 pages, 5736 KiB  
Article
Genetic Diversity and Evaluation of Agro-Morphological Traits in Lettuce Core Collection
by Suyun Moon, Onsook Hur, Seong-Hoon Kim, Yoonjung Lee, Hyeonseok Oh, Jungyoon Yi, Ho-Cheol Ko, Hee-Jong Woo, Nayoung Ro and Young-Wang Na
Plants 2024, 13(24), 3552; https://doi.org/10.3390/plants13243552 - 19 Dec 2024
Viewed by 541
Abstract
Lettuce (Lactuca sativa) is a globally significant leafy vegetable, valued for both its economic and nutritional contributions. The efficient conservation and use of the lettuce germplasm are crucial for breeding and genetic improvement. This study examined the genetic diversity and population [...] Read more.
Lettuce (Lactuca sativa) is a globally significant leafy vegetable, valued for both its economic and nutritional contributions. The efficient conservation and use of the lettuce germplasm are crucial for breeding and genetic improvement. This study examined the genetic diversity and population structure of a core collection of the lettuce germplasm using genotyping by sequencing (GBS). A total of 7136 high-quality single-nucleotide polymorphisms (SNPs) were identified across nine chromosomes. Population analysis through Bayesian clustering and discriminant analysis of principal components (DAPC) revealed three distinct genetic clusters. Cluster 2 exhibited the greatest genetic diversity (He = 0.29, I = 0.44), while Cluster 3 had high levels of inbreeding (F = 0.79). Agro-morphological trait evaluation further identified significant differences in leaf length, plant weight, and head height across clusters. These findings provide valuable insights into the genetic and phenotypic diversity of lettuce, facilitating the development of more robust breeding programs. Additionally, the core collection established in this study offers a representative subset of the lettuce germplasm for future genomic research and conservation efforts. Full article
(This article belongs to the Section Plant Genetic Resources)
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<p>The distribution of 7136 high-quality SNPs across the 9 <span class="html-italic">Lactuca sativa</span> chromosomes. The horizontal axis represents the chromosome length in Mb. Different colors correspond to SNP density.</p>
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<p>The development and population structure analysis of the lettuce core collection. (<b>A</b>) Principal component analysis (PCA) of the core collection. The red dots represent accessions in the core collection, while the gray dots represent accessions not included in the core collection. (<b>B</b>) Delta K values for different assumed population numbers (K) in the STRUCTURE analysis. (<b>C</b>) The inferred population structure for K = 3. Individual membership coefficients were sorted within each cluster.</p>
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<p>Discriminant analysis of principal components (DAPC) results of lettuce core collection. (<b>A</b>) Inference of optimal number of clusters for lettuce core collection based on BIC values. (<b>B</b>) DAPC cross-validation determining optimal number of principal components (PCs) retained for analysis of three predefined groups. (<b>C</b>) Scatterplot of individuals projected onto first twenty principal components (PCs) from DAPC. The colors represent the three clusters identified: red (Cluster 1), orange (Cluster 2), and teal (Cluster 3). Eigenvalues from analysis are displayed in inset.</p>
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<p>The unrooted UPGMA phylogenetic tree based on the genetic distance matrix representing the grouping of the lettuce core collection.</p>
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<p>Boxplots showing the variation in quantitative agro-morphological traits across clusters. Different letters indicate significant differences between groups (<span class="html-italic">p</span> &lt; 0.05).</p>
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18 pages, 1882 KiB  
Article
Genome-Wide Association Study for Resistance to Phytophthora sojae in Soybean [Glycine max (L.) Merr.]
by Hee Jin You, Ruihua Zhao, Yu-Mi Choi, In-Jeong Kang and Sungwoo Lee
Plants 2024, 13(24), 3501; https://doi.org/10.3390/plants13243501 - 15 Dec 2024
Viewed by 545
Abstract
Phytophthora sojae (Kauffman and Gerdemann) is an oomycete pathogen that threatens soybean (Glycine max L.) production worldwide. The development of soybean cultivars with resistance to this pathogen is of paramount importance for the sustainable management of the disease. The objective of this [...] Read more.
Phytophthora sojae (Kauffman and Gerdemann) is an oomycete pathogen that threatens soybean (Glycine max L.) production worldwide. The development of soybean cultivars with resistance to this pathogen is of paramount importance for the sustainable management of the disease. The objective of this study was to identify genomic regions associated with resistance to P. sojae isolate 40468 through genome-wide association analyses of 983 soybean germplasms. To elucidate the genetic basis of resistance, three statistical models were employed: the compressed mixed linear model (CMLM), Bayesian-information and linkage disequilibrium iteratively nested keyway (BLINK), and fixed and random model circulating probability unification (FarmCPU). The three models consistently identified a genomic region (3.8–5.3 Mbp) on chromosome 3, which has been previously identified as an Rps cluster. A total of 18 single nucleotide polymorphisms demonstrated high statistical significance across all three models, which were distributed in eight linkage disequilibrium (LD) blocks within the aforementioned interval. Of the eight, LD3-2 exhibited the discernible segregation of phenotypic reactions by haplotype. Specifically, over 93% of accessions with haplotypes LD3-2-F or LD3-2-G displayed resistance, whereas over 91% with LD3-2-A, LD3-2-C, or LD3-2-D exhibited susceptibility. Furthermore, the BLINK and FarmCPU models identified new genomic variations significantly associated with the resistance on several other chromosomes, indicating that the resistance observed in this panel was due to the presence of different alleles of multiple Rps genes. These findings underscore the necessity for robust statistical models to accurately detect true marker–trait associations and provide valuable insights into soybean genetics and breeding. Full article
(This article belongs to the Special Issue Crop Genetic Mechanisms and Breeding Improvement)
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<p>Genetic diversity of a panel of 983 soybean (<span class="html-italic">Glycine max</span> L. Merr.) accessions based on principal component analysis.</p>
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<p>Phenotypic reactions to <span class="html-italic">Phytophthora sojae</span> isolate 40468 in the GWAS panel (n = 983): (<b>A</b>) Frequency distribution of the percentages of dead seedlings. (<b>B</b>) Segregation ratio of resistant (R), susceptible (S), and intermediate (I) reactions. (<b>C</b>) Phenotypic reactions of the Daepung (S check), CheonAl (R check), and selected resistant genotypes.</p>
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<p>Manhattan plots (left) and QQ plots (right) for the genome-wide association study of the 983 soybean accessions for <span class="html-italic">P</span>. <span class="html-italic">sojae</span> resistance: (<b>A</b>) The compressed mixed linear (CMLM) model. (<b>B</b>) The Bayesian-information and linkage disequilibrium iteratively nested keyway (BLINK) model. (<b>C</b>) The fixed and random model circulating probability unification (FarmCPU) model.</p>
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<p>Linkage disequilibrium blocks, 18 consistently significant SNPs, and positions of annotated LRR and STK-coding genes within the genomic region of 3.8–5.3 Mb.</p>
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21 pages, 5660 KiB  
Article
Exploring Imaging Techniques for Detecting Tomato Spotted Wilt Virus (TSWV) Infection in Pepper (Capsicum spp.) Germplasms
by Eric Opoku Mensah, Hyeonseok Oh, Jiseon Song and Jeongho Baek
Plants 2024, 13(23), 3447; https://doi.org/10.3390/plants13233447 - 9 Dec 2024
Viewed by 620
Abstract
Due to the vulnerability of pepper (Capsicum spp.) and the virulence of tomato spotted wilt virus (TSWV), seasonal shortages and surges of prices are a challenge and thus threaten household income. Traditional bioassays for detecting TSWV, such as observation for symptoms and [...] Read more.
Due to the vulnerability of pepper (Capsicum spp.) and the virulence of tomato spotted wilt virus (TSWV), seasonal shortages and surges of prices are a challenge and thus threaten household income. Traditional bioassays for detecting TSWV, such as observation for symptoms and reverse transcription-PCR, are time-consuming, labor-intensive, and sometimes lack precision, highlighting the need for a faster and more reliable approach to plant disease assessment. Here, two imaging techniques—Red–Green–Blue (RGB) and hyperspectral imaging (using NDVI and wavelength intensities)—were compared with a bioassay method to study the incidence and severity of TSWV in different pepper accessions. The bioassay results gave TSWV an incidence from 0 to 100% among the accessions, while severity ranged from 0 to 5.68% based on RGB analysis. The normalized difference vegetative index (NDVI) scored from 0.21 to 0.23 for healthy spots on the leaf but from 0.14 to 0.19 for disease spots, depending on the severity of the damage. The peak reflectance of the disease spots on the leaves was identified in the visible light spectrum (430–470 nm) when spectral bands were studied in the broad spectrum (400.93–1004.5 nm). For the selected wavelength in the visible light spectrum, a high reflectance intensity of 340 to 430 was identified for disease areas, but between 270 and 290 for healthy leaves. RGB and hyperspectral imaging techniques can be recommended for precise and accurate detection and quantification of TSWV infection. Full article
(This article belongs to the Special Issue Plant Diseases and Sustainable Agriculture)
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<p>Line graph showing the progressive growth of plant accessions based on top-view area (cm<sup>2</sup>), disease area (cm<sup>2</sup>), and disease severity (%) of the accessions, species, and the disease severity status of the pepper infected with TSWV-YI. For the graph on accessions, the red lines represent accessions with high disease severity, the black lines represent accessions with moderate disease severity and the green lines represent accessions with low disease severity to TSWV-YI.</p>
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<p>RGB images showing infection trends among <span class="html-italic">low</span>, <span class="html-italic">moderate</span>, and <span class="html-italic">high</span> disease severity to TSWV-YI infection of three selected accessions (IT218962—low severity, IT136625—moderate severity, and IT158568—high severity). Infected—plants inoculated with the TSWV; non-infected—the non-inoculated plants (control). The values in white are the average total areas (in cm<sup>2</sup>) of the five plants per accession, measured by the top-view camera at a distance of 0.6 m from the plants, while the values in black are the average infected parts (in cm<sup>2</sup>) of the five plants per accession, based on the image segmentation.</p>
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<p>Hyperspectral analysis—hyperspectral images showing normalized difference vegetation index (NDVI) of selected accessions (IT218962—low severity, IT136625—moderate severity, IT158568—high severity, and IT284034—non-infected) based on TSWV symptoms assessments.</p>
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<p>Hyperspectral reflectance of five spots on the leaf surfaces of high, moderate, and low severities, and non-infected plants. (<b>A</b>,<b>B</b>,<b>E</b>,<b>F</b>) from 400.93 to 1004.5 nm and (<b>C</b>,<b>D</b>,<b>G</b>,<b>H</b>) from 430 to 470 nm wavelengths on the electromagnetic spectrum. The bands indicate the number of spots selected on the plants. The broken black arrows show the band spot at which the infected areas were separated from the normal areas, and where symptoms of TSWV were assumed to be detected.</p>
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<p>RGB and hyperspectral imaging for TSWV-YI common symptoms in pepper germplasm—mosaic, necrosis, ring spot, puckered leaf, and non-infected plant. NDVI—normalized difference vegetation index.</p>
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<p>RGB and hyperspectral imaging boxes used for the experiment. (<b>A</b>) The RGB imaging set up with a Sony<sup>®</sup> camera, plants, scale bar, and flashlights. (<b>B</b>) Imaging box containing an infra-red camera, RGB camera, hyperspectral camera, and flashlights. A conveyor moves the plant for imaging. A scale bar was included for image segmentation and unit conversion from pixels into mm.</p>
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<p>RGB image processing, segmentation, and measurement. (<b>A</b>) Raw image from the top view Sony<sup>®</sup> camera. (<b>B</b>) Scale bar to convert units from pixels into mm<sup>2</sup>. (<b>C</b>) Image background noise removed. (<b>D</b>) Total leaf area masked in red. (<b>E</b>) Disease leaf area segmented as a red mask. (<b>F</b>) Disease area selected for measurement.</p>
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<p>Hyperspectral image analysis process. (<b>A</b>,<b>B</b>)—band detection, (<b>C</b>,<b>D</b>)—intensity of TSWV infected parts of the plant, and (<b>E</b>)—NDVI plot showing areas affected by the virus based on a scale (green indicating low intensity and red indicating high intensity). The black arrow shows the band spot where the TSWV infection was assumed to be detected.</p>
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15 pages, 11146 KiB  
Article
Multiple Uses of Wild Edible Trees by a Nahua-Origin Community in Western Mexico
by Alana Pacheco-Flores, Rubén Ortega-Álvarez, María Guadalupe Carrillo-Galván, Manuel J. Cach-Pérez, Emanuel Ruiz-Villarreal and Alejandro Casas
Plants 2024, 13(23), 3334; https://doi.org/10.3390/plants13233334 - 28 Nov 2024
Viewed by 563
Abstract
Wild edible trees (WETs) play an important role in the diet of many rural communities. Therefore, research on their use and management is important to support both food sovereignty and local conservation of biocultural resources. We evaluated the different uses of WETs by [...] Read more.
Wild edible trees (WETs) play an important role in the diet of many rural communities. Therefore, research on their use and management is important to support both food sovereignty and local conservation of biocultural resources. We evaluated the different uses of WETs by the community of Zacualpan, Colima, in western Mexico, through 32 semi-structured interviews registering the species richness, plant parts consumed, and non-food uses. Additional information was collected on their management, availability, and forms of preparation. We used a cultural salience index to determine the food importance of the WETs mentioned. We registered 33 edible tree species (26 wild, 3 native crops, and 4 exotic crops) that were most commonly consumed as fruits or seeds. WETs were also used for fuel, live fences, timber, handicrafts, medicine, shade, fodder, poles, utensils, construction, tanning, soap, and paper. Pithecellobium dulce had the highest food salience, followed by Spondias purpurea, Leucaena esculenta, Leucaena leucocephala, Enterolobium cyclocarpum, and Jacaratia mexicana. Salient wild trees were collected in the wild and promoted in agroforestry systems. These trees provided food during the dry season and also had the highest number of additional uses. Promoting the biocultural value of WETs and their sustainable use can favor ecosystem conservation and local food sovereignty. Full article
(This article belongs to the Special Issue New Insights into Ethnobotany and Ethnoecology)
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<p>Wild edible trees consumed by the community of Zacualpan: (<b>A</b>) <span class="html-italic">Pithecellobium dulce</span> (guamúchil) fruits; (<b>B</b>) <span class="html-italic">Spondias purpurea</span> (ciruelo) fruits; (<b>C</b>) <span class="html-italic">Annona reticulata</span> (anona) fruits; (<b>D</b>) <span class="html-italic">Enterolobium cyclocarpum</span> (parota) seed pods; (<b>E</b>) <span class="html-italic">Jacaratia mexicana</span> (bonete) fruits; (<b>F</b>) <span class="html-italic">Sideroxylon capiri</span> (capire) fruits; (<b>G</b>) <span class="html-italic">Cyrtocarpa procera</span> (chupalcojote) fruits; (<b>H</b>) <span class="html-italic">Annona macroprophyllata</span> (ilama) fruits; (<b>I</b>) <span class="html-italic">Stenocereus queretaroensis</span> (pitayo) fruits; (<b>J</b>) <span class="html-italic">Morisonia americana</span> (zapote barranqueño) fruits; (<b>K</b>) <span class="html-italic">Otatea acuminata</span> (otate) sprouts; and (<b>L</b>) <span class="html-italic">Leucaena leucocephala</span> (guaje verde) unripe seed pods.</p>
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<p>Tree parts consumed by people of the community of Zacualpan, Colima, Mexico.</p>
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<p>Preparation forms of some WETs recorded in the community of Zacualpan: <span class="html-italic">E. cyclocarpum</span> (parota) seeds as (<b>A</b>) tortitas, (<b>B</b>) soup; (<b>C</b>) chili sauce with guaje verde (<span class="html-italic">L. leucocephala)</span> unripe seeds; (<b>D</b>) <span class="html-italic">L. macrantha</span> (embiona) flower sprouts cooked for tacos; (<b>E</b>) scrambled eggs with <span class="html-italic">J. mexicana</span> (bonete) unripe fruits; (<b>F</b>) unripe seed pods of guaje verde and <span class="html-italic">S. purpurea</span> (ciruelo) fruits preserves as tamalitos.</p>
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<p>Chord diagram representing the other uses of wild edible tree species by the community of Zacualpan, Colima, Mexico.</p>
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<p>Localization of the community of Zacualpan, Colima, Mexico.</p>
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15 pages, 275 KiB  
Review
Solina: An Example of Ancient Wheat Suitable for the Protection of Agrobiodiversity and Agricultural Workers’ Health
by Eva Masciarelli, Marco Di Luigi, Riccardo De Flaviis, Claudio Beni, Marco Di Santo, Donato Silveri, Fabiola De Amicis, Orietta Menna and Laura Casorri
Agronomy 2024, 14(12), 2821; https://doi.org/10.3390/agronomy14122821 - 27 Nov 2024
Viewed by 637
Abstract
Solina is an ancient common wheat that has been cultivated in Abruzzo since the 16th century. It is a variety of wheat typical of mountain and marginal areas with peculiar organoleptic and nutritional characteristics. In this review, a collection of experimental and empirical [...] Read more.
Solina is an ancient common wheat that has been cultivated in Abruzzo since the 16th century. It is a variety of wheat typical of mountain and marginal areas with peculiar organoleptic and nutritional characteristics. In this review, a collection of experimental and empirical data analyses on its agronomic, environmental, historical, gastronomic, and cultural characteristics was carried out to propose its possible use in sustainable agriculture. The observed data suggest that Solina represents an ancient wheat variety that could be used as an alternative to modern wheat, following the European Directive 128/2009 on the sustainable use of pesticides. The natural resistance of this ancient wheat to the typical climatic conditions of the territory in which it grows allows for the non-use of chemical fertilizers and pesticides. Therefore, Solina has all the characteristics to respond to consumer demands, paying greater attention to environmental protection, preserving biodiversity, and safeguarding the health of farm workers. Full article
(This article belongs to the Topic Mediterranean Biodiversity)
17 pages, 2092 KiB  
Article
Agronomic Estimation of Lupin (Lupinus pilosus L.) as a Prospective Crop
by Oren Shelef, Eyal Ben-Simchon, Marcelo Sternberg and Ofer Cohen
Agronomy 2024, 14(12), 2804; https://doi.org/10.3390/agronomy14122804 - 25 Nov 2024
Viewed by 514
Abstract
The global dependence on a narrow range of crops poses significant risks to food security, and exploring alternative crops that enhance agrobiodiversity is crucial. Lupinus pilosus L., a wild lupin species native to Israel, represents a promising candidate for domestication due to its [...] Read more.
The global dependence on a narrow range of crops poses significant risks to food security, and exploring alternative crops that enhance agrobiodiversity is crucial. Lupinus pilosus L., a wild lupin species native to Israel, represents a promising candidate for domestication due to its large seeds and high protein content. This study is the first to evaluate the agronomic potential of L. pilosus, focusing on populations from basalt and limestone soils. We hypothesized that L. pilosus has significant potential as a novel high-protein crop and that its agronomic characteristics vary among geographically distinct populations. We performed a net-house experiment to test these hypotheses, exploring dozens of agronomic traits for each of the 10 accessions originating in wild populations. We found that basalt-origin accessions exhibited 34.2% higher seed weight, while limestone accessions doubled their seed yield when exposed to honeybee pollination. Notably, high-density cultivation did not reduce seed yield, suggesting that L. pilosus could be successfully cultivated under crop-like conditions. Our findings highlight the species’ adaptability to different soil types and its responsiveness to pollination, traits that align with the need for climate-resilient crops. This study presents a significant step forward in the domestication of wild lupins, particularly in regions prone to environmental stressors. Compared to other studies on wild lupin domestication, this research provides new insights into the role of ecology in shaping agronomic traits, emphasizing the unique combination of seed yield and plant traits under diverse growing conditions. Full article
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<p>Phenology of <span class="html-italic">L. pilosus</span> accessions over time. Days are counted from sowing on 19 November 2019 (1) to the completion of the life cycle in all accessions on 17 June 2020 (212). A different background color marks major developmental phases—vegetative phase (green), inflorescence, fruit setting (lilac purple), and ripening (pale brown); (<b>a</b>) honeybee pollination excluded; (<b>b</b>) with honeybee pollination.</p>
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<p>Seed yield across the different <span class="html-italic">L. pilosus</span> accessions. Accession origin is marked as basalt or limestone, and the population code is listed on the <span class="html-italic">x</span>-axis. Statistical differences between accessions, denoted by different letters, are determined by the Kruskal–Wallis nonparametric test followed by the post hoc Dunn test (Benjamani–Hochberg method). In panels a, b, and d, the red dots within the boxplot represent the mean values for each accession, while the red horizontal line indicates the overall mean across all samples. (<b>a</b>) Dry weight (DW) of fully developed seeds per <span class="html-italic">L. pilosus</span> individual plant by accessions and soil origin. (<b>b</b>) Fully developed seed number per <span class="html-italic">L. pilosus</span> individual plant by accessions. (<b>c</b>) Seed maturation success per population in average seed g DW per plant. Regular seeds—mature intact seeds—appear healthy and viable (percentage of total seeds is denoted); infested seeds are mature seeds with signs of pest damage, presumably by <span class="html-italic">Bruchidius serrations</span>; abnormal seeds did not complete their maturation. (<b>d</b>) Reproductive/vegetative tissue ratio per accession of <span class="html-italic">L. pilosus</span> plants. We measured plant DW at maturation after harvest, separating plants into vegetative and reproductive organs, and calculated the ratio accordingly. The data are normally distributed following a square root transformation. Shapiro–Wilk normality test (W = 0.99, <span class="html-italic">p</span>-value = 0.04). Statistical differences between accessions, denoted by different letters, are determined by the ANOVA test followed by the Tukey HSD post hoc test.</p>
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<p>Principal component analysis (PCA) of plant traits across accessions. The following traits were included in this analysis: Lv48 = number of leaves per plant (48 days from sowing); Fr141 = number of pods on the main stem (141 days); FwL141 = appearance of lateral flowers (141); FrL141 = appearance of lateral fruits (141); h155 = plant height (155); w155 = plant diameter (155); Rpd = the day a plant completed ripening of all pods; RpP = ripening duration; Brn = number of branches number; ASn = number of abnormal seeds per plant; Pn = number of pods per plant; ASdw = abnormal seed DW; BMdw = vegetative organs DW; TRFn = number of mature pods; DSn = number of normally developed seeds; DSdw = DW of normally developed seeds; SSav = single seed DW average; RPV = reproductive/vegetative DW ratio.</p>
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<p>Impact of honeybee pollination on yield. DW (g) of fully developed seeds with and without honeybee pollination is represented as an average per plant. Asterisks at the upper bolded line represent significant differences, determined by the Wilcoxon nonparametric test, between pollinated versus unpollinated accession, where ns = non-significant (<span class="html-italic">p</span> &gt; 0.05); * = significantly different (<span class="html-italic">p</span> &lt; 0.05) ** (<span class="html-italic">p</span> &lt; 0.01). Significant differences between self-pollinated accessions are denoted by different capital letters, determined by the Kruskal–Wallis nonparametric test followed by the post hoc Dunn test (Benjamani–Hochberg method). Different small case letters represent significant differences between honeybee pollinated accessions, determined after square root transformation by ANOVA test followed by Tukey HSD post hoc test.</p>
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<p>Effect of plant density on <span class="html-italic">L. pilosus</span> seed yield. Seed yield in kg per hectare and SE (by error bars) for low-density (2.45 plants per m<sup>2</sup>) versus high-density conditions (6.55 plants per m<sup>2</sup>). For reference, see range and mean (solid line) (pale background color) and average (darker line) of white lupin (<span class="html-italic">L. albus</span>), narrow leaf lupin (<span class="html-italic">L. angustifolius</span>), and soybean (<span class="html-italic">Glycine max</span>). Data for <span class="html-italic">L. albus</span> was acquired from the Horizon2020 project Legume Hub Project, grant number 817634 [<a href="#B60-agronomy-14-02804" class="html-bibr">60</a>], <span class="html-italic">L. angustifolius</span> [<a href="#B61-agronomy-14-02804" class="html-bibr">61</a>], and soybean [<a href="#B62-agronomy-14-02804" class="html-bibr">62</a>].</p>
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18 pages, 1369 KiB  
Article
A Multidisciplinary Approach for the Assessment of the Last Surviving ‘Marrone di Chiusa Pesio’ Chestnut Trees in the Piemonte Region (Italy)
by Giovanna Neirotti, Alessandro Tomatis, Federica Germanà, Alessia Imparato, Andrea Valisena, Maria Gabriella Mellano, Paola Ruffa, Dario Donno, Daniela Torello Marinoni, Gabriele Loris Beccaro and Giovanni Gamba
Diversity 2024, 16(12), 711; https://doi.org/10.3390/d16120711 - 21 Nov 2024
Viewed by 528
Abstract
Chestnut orchards are a multifunctional resource, providing not only fruit or wood but also playing a role in the conservation of mountain and hillside landscapes. In the Piemonte Region, Italy, a rich genetic heritage of chestnut genotypes has contributed to considerable biodiversity and [...] Read more.
Chestnut orchards are a multifunctional resource, providing not only fruit or wood but also playing a role in the conservation of mountain and hillside landscapes. In the Piemonte Region, Italy, a rich genetic heritage of chestnut genotypes has contributed to considerable biodiversity and environmental value. The study aimed to valorize an important example of the chestnut agrobiodiversity in the Piemonte Region by focusing on the ‘Marrone di Chiusa Pesio’ (MCP) cultivar (cv). A multidisciplinary approach was applied, involving genetic and morphological analyses, Visual Tree Assessment (VTA), and phytochemical and nutritional profiling. The plant census provided identification and geolocation of 187 MCP specimens; the 20 most representative trees were genetically analyzed, and then, through the VTA, their morpho-functional status was evaluated. The nutraceutical properties and phytochemical composition were assessed by measuring the total polyphenol content (TPC), antioxidant capacity (AOC), and other phytochemical classes through spectrophotometric and chromatographic methods. The results showed significantly higher TPC values (ranged from 36.51 ± 1.60 mgGAE/100 g of dried weight—DW to 103.14 ± 1.24 mgGAE/100 g DW) compared to other ‘Marrone-type’ cultivars, along with high levels of key phenolic markers, bioactive compounds, and nutritional substances. These included tannins (about 22–28 mg/100 g DW) and cinnamic acids (about 23–25 mg/100 g DW), followed by flavonols, benzoic acids, organic acids, monoterpenes, vitamin C, and catechins, listed in order of predominance. A Principal Component Analysis (PCA) was performed to observe the distribution of the samples and their correlations based on the chemical composition. The results confirmed the interesting phytochemical properties of the ‘Marrone di Chiusa Pesio’ nuts, together with their good morphological and functional properties. Given the ongoing genetic erosion of Castanea sativa cultivars, due to cultivation abandonment and climate change, the main factors contributing to the progressive loss of biodiversity worldwide, the presented approach aimed to provide an overview of the conservation status of the local agrobiodiversity. This study highlighted the value of a local chestnut cultivar, presenting the low conservation status of the few remaining specimens. The goal was to define the significant phenotypic variation regarding MCP in the considered area due to environmental variations, which may be of interest in its genetic adaptation to climate change. The study may potentially encourage the development of strategies for actively conserving the forest agrobiodiversity and hillside ecosystem services in the highly diverse landscapes of the Alpine valleys. Full article
(This article belongs to the Special Issue Biodiversity in Italy: Past and Future Perspectives)
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<p>PCA score plot of the MCP samples.</p>
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<p>Mean PCA score plot of the considered MCP samples. Mean values (n = 3) were included for all the samples.</p>
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<p>PCA loading plot of the considered variables.</p>
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20 pages, 15708 KiB  
Perspective
Returning to Integrated Landscape Management as an Approach to Counteract Land Degradation in Small Mediterranean Islands: The Case Study of Stromboli (Southern Tyrrhenian Sea, Italy)
by Rita Biasi, Francesco Valerio Collotti and Stefano Baia Curioni
Land 2024, 13(11), 1949; https://doi.org/10.3390/land13111949 - 19 Nov 2024
Viewed by 618
Abstract
The small Mediterranean islands, unique geographical places where coastlines and mountains converge due to volcanic genesis, are among the most threatened environments on Earth. Their marginality, which has historically led to their use as places of detention and punishment, coupled with the extreme [...] Read more.
The small Mediterranean islands, unique geographical places where coastlines and mountains converge due to volcanic genesis, are among the most threatened environments on Earth. Their marginality, which has historically led to their use as places of detention and punishment, coupled with the extreme climate and rugged geomorphology shaped by terracing practices, has resulted in the loss of systematic land management. This loss stems from the abandonment of cropland in favor of alternative activities and migrations, impacting essential ecosystem services such as the water cycle, soil fertility, and the cultural landscape. The need to counteract the land degradation in these vulnerable areas has been acknowledged for some Mediterranean small islands, including the UNESCO heritage site of Stromboli in the Aeolian Islands, Sicily, Italy—an especially captivating location due to its active volcano. The agricultural abandonment on terraces, intensively cultivated with olives groves and vineyards until the mid-20th century, has rendered the area highly fragile and susceptible to risks such as fires and soil erosion, particularly as a consequence of extreme weather events, as proven in 2022, which saw a destructive fire followed by storms. To mitigate the negative effects of hydrogeological disruptions, the implementation of integrated landscape management—managing ecosystems at the landscape level—has been proposed. Specifically, an agroforestry intervention, coupled with the restoration of dry stone walls, the shaping of soil slopes by recovering the traditional ecological knowledge (TEK), and the design of water-collecting devices incorporated with the traditional hydraulic knowledge, may be proposed as a strategic approach to minimize the soil erosion risks, adapt to climate change, and extensively restore the use of traditional agrobiodiversity to support the local economy and tourism. A pilot intervention by local stakeholders based on these principles is described as an emblematic agrobiodiversity-based landscape design project in a vulnerable area, aiming at the preservation of the cultural landscapes of the small Mediterranean islands. Full article
(This article belongs to the Special Issue Surface Runoff and Soil Erosion in the Mediterranean Region)
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<p>The study site’s location. The island of Stromboli (Aeolian Islands, Southern Tyrrhenian Sea) (<b>above</b>). Two possible intervention sites for an integrated landscape management strategy (<b>below</b>). (Source: Copernicus Coastal Zones) (credit, R.B.; S.B.C.).</p>
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<p>A newly realized agroforestry intervention on the island of Ventotene (Central Tyrrhenian Sea, Latium region, Italy). Combination of trees and shrubs of the Mediterranean Maquis, with some of food interest (<b>left</b>); combination of grapevines (detail) with shrubs and tree species from the Mediterranean environment (<b>right</b>) (credits, R.B.).</p>
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<p>Layout of the hypothetical distribution of olive-based agroforestry systems in relation to slope. From top to bottom: forest species + olive trees (olive forest); olive trees + fruit trees +shrubs; specialized olive groves (credit, E.B.; R.B.).</p>
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<p>Plan for the project for the recovery of the dry wall structures on the sloped land of Stromboli and the positioning of the water harvesting devices in the terraces. The handwritten text in the drawing outlines the main technical characteristics of the project (scale 1:50). For slopes &gt;35°–45°&lt; (top, right): stonewall header, 125–130 cm; terrace width, 350–500 cm. For slopes &gt;20°–35°&lt; (bottom, left): stonewall header, 70–90 cm; terrace width, 700–800 cm (credit, F.V.C.).</p>
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<p>Section of the water harvesting device integrated into terraces dedicated to olive cultivation. The handwritten text in the drawing outlines the main technical characteristics of a rainwater tank installed on a 35° slope over a rocky substrate. The tank is constructed from LLPDE (linear low-density polyethylene) and has a capacity of 5200 liters (diameter 170 cm, height 270 cm; empty weight 143 kg). It can possibly be assembled in series. The design also features the volcano in the background (credit, F.V.C.).</p>
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<p>Effects of the uncontrolled fire and water runoff on the landscape mosaic of the piedmont belt of the Stromboli volcano. (<b>A</b>) The extension of the burned area; (<b>B</b>) natural runoff streams (arrows); (<b>C</b>) details of damaged olive crops; (<b>D</b>) effects of fire on abandoned terraces; (<b>E</b>) superficial soil erosion; (<b>F</b>) flooding of the vineyards in the downstream area (credit, R.B.).</p>
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<p>Landscape redesign for water runoff prevention: (<b>A</b>,<b>B</b>) “fascine” strips realized with wooden pegs that retain dead biomass; (<b>C</b>) fireproof biomass, such as <span class="html-italic">Opuntia ficus-indica</span> cladodes; (<b>D</b>) caper plants reintroduced on the restored slopes; (<b>E</b>) traditional employment of prickly pears as a multifunctional fruiting barrier (credit, S.B.C.).</p>
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<p>Schematic representation of different types of crown and skeleton management for olive trees’ vegetative and productive growth recovery after damage (credit, R.B.).</p>
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15 pages, 3979 KiB  
Review
Cowpea (Vigna unguiculata) Cultivation and Breeding in the Republic of Korea: Advances and Future Perspectives
by Dong-Kwan Kim, Kanivalan Iwar, Kingsley Ochar, Sin-Young Park, Eun-Byul Go, Kyung-Dong Lee and Seong-Hoon Kim
Agronomy 2024, 14(11), 2679; https://doi.org/10.3390/agronomy14112679 - 14 Nov 2024
Viewed by 671
Abstract
The cowpea is one of the most important legume species globally, with both the grains and fresh pods widely consumed for the rich nutritional content. In the Republic of Korea, the cultivation and breeding progress of cowpeas is relatively low but gradually receiving [...] Read more.
The cowpea is one of the most important legume species globally, with both the grains and fresh pods widely consumed for the rich nutritional content. In the Republic of Korea, the cultivation and breeding progress of cowpeas is relatively low but gradually receiving interest due to its potential contribution to nutrition and sustainable agriculture. Given the changing pattern of global climatic conditions, any effort in cowpea breeding in Korea may focus on important traits such as improving yield, stress resistance, and adaptability to local climate. This review provides a discussion on the current status of the cultivation and breeding of cowpeas in the Republic of Korea, with the aim of improving crop performance, agricultural sustainability, and food security. Full article
(This article belongs to the Special Issue Seeds for Future: Conservation and Utilization of Germplasm Resources)
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<p>Country-wise cowpea production data accessed through FAOSTAT and accession holding institute accessed through Genesys, 5 November 2024.</p>
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<p>Multipurpose uses of cowpea.</p>
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<p>Nutritional importance of cowpea.</p>
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<p>Current role of RDA National Agrobiodiversity Center Genebank.</p>
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<p>Aspects of cowpea breeding in Korea.</p>
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<p>The Nutrivore score of the cowpea among the beans exhibits qualities of a medium nutrient-dense food with excellent health benefits.</p>
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