Legume Science最新文献

{"title":"Value-Added Processing of Food Legumes Using Extrusion Technology: A Review","authors":"Natoavina Faliarizao,&nbsp;Jose De J. Berrios,&nbsp;Kirk D. Dolan","doi":"10.1002/leg3.231","DOIUrl":"https://doi.org/10.1002/leg3.231","url":null,"abstract":"<p>Extrusion processing of legumes has gained increased commercial significance in recent years. Food legumes or pulses are a rich source of protein, total dietary fiber, starch, minerals, selected vitamins, and other bioactive compounds with antioxidant activity. The relatively higher protein and lower carbohydrate contents than cereal grains make legumes a healthy choice for developing new food products. While legumes are a staple in many developing countries, their consumption remains to be very low in most of the developed countries. Developing legume-based ready-to-use ingredients and ready-to-eat products can potentially increase legume consumption, especially in developed countries. In addition to traditional legume processing methods, extrusion cooking offers a cost-effective option to manufacture legume-based products and ingredients. In recent years, increased concerns by consumers about environmental sustainability and food security have resulted in promoting plant-based proteins as meat substitutes and meat analogs, which are primarily produced by extrusion or wet/dry extraction. In this regard, extrusion is more sustainable and environment-friendly processing technology due to its process efficiency and minimal effluents. Legumes processed by extrusion cooking have wide applications in a variety of food products, for example, flour mixes and doughs, snack items, baked foods, meat alternatives, meat extenders, gluten-free products, and nutraceuticals. Furthermore, extrusion process improves the digestibility and functional properties, and lowers or eliminates the antinutrients found in most legumes. This comprehensive review article discusses extrusion processing technology/systems, legumes extrusion, and nutritional quality, functional properties, food safety, and consumer acceptance of extruded legume products.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.231","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140814249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Pea Accessions Differing in Flower and Seed Coat Pigmentation for Resistance to Fusarium avenaceum Root Rot","authors":"Stephen O. Awodele,&nbsp;Kishore K. Gali,&nbsp;Nimllash T. Sivachandra Kumar,&nbsp;Devini De Silva,&nbsp;Syama Chatterton,&nbsp;Sabine Banniza,&nbsp;Thomas D. Warkentin","doi":"10.1002/leg3.230","DOIUrl":"https://doi.org/10.1002/leg3.230","url":null,"abstract":"<p>Pea production across the world is significantly limited by root rot disease, which is caused by many fungal and oomycetes pathogens. In Canada, <i>Fusarium avenaceum</i> is the most devastating pathogen of the Fusarium root rot complex of pea. Host genetic resistance is the most effective control method for this disease. Evaluation of global pea accessions and Canadian varieties for <i>F. avenaceum</i> root rot resistance has not been reported to date. This study evaluated 20 pea accessions of different market classes with pigmented or nonpigmented seed coats and flowers for <i>F. avenaceum</i> resistance under controlled conditions. The pea accessions CDC Acer, CDC Vienna, PBA OURA, Morgan, CDC Blazer, CDC Dakota, and PI 280609, which have pigmented flowers and seed coats, were identified as resistant or partially resistant to <i>F. avenaceum</i>. This was based on their root rot severity scores and ability to tolerate <i>F. avenaceum</i> infection without significant (<i>p</i> &gt; 0.05) reductions in plant height, shoot dry weight, and root dry weight. Among the varieties with nonpigmented flowers and seed coats, only Cameor showed partial resistance to <i>F. avenaceum</i> when challenged with reduced conidial concentration. Root dry weight (<i>R</i> = −0.86), plant height (<i>R</i> = −0.82), and shoot dry weight (<i>R</i> = −0.78) had a strong negative correlation (<i>p</i> &lt; 0.001) with disease severity, suggesting that <i>F. avenaceum</i> root rot can negatively impact the growth and development of pea seedlings. <i>F. avenaceum</i> resistance identified in this study can be utilized to study the molecular basis of the resistance and develop disease-resistant varieties. While our findings suggest a relationship between pigmentation and <i>F. avenaceum</i> resistance, future research with a larger, more diverse panel is warranted to validate these initial results.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.230","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140639633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genotype by Environment (G × E) Interaction and Yield Stability of Chickpea (Cicer arietinum L.) Varieties Across Agroecological Regions of Ethiopia","authors":"Mekonnen Gebeyaw,&nbsp;Asnake Fikre,&nbsp;Alemu Abate,&nbsp;Tesfahun Alemu Setotaw,&nbsp;Nigusu Bekele,&nbsp;Bantalem Zeleke,&nbsp;Tesefaye Gebremariam","doi":"10.1002/leg3.227","DOIUrl":"https://doi.org/10.1002/leg3.227","url":null,"abstract":"<p>Genotype by environment (G × E) interaction obstructs breeding by persuading variations in genotype performance. The aim of the present study was to determine the stability and yield performance of Desi and Kabuli chickpea varieties at different agroecological regions of Ethiopia, using different stability parameters. The experiment was laid out in a randomized complete block design (RCBD) with three replications. The additive main effect and multiplicative interaction (AMMI) analysis of variance (ANOVA) indicated highly significant differences (<i>p</i> ≤ 0.01) for environments, genotypes, and importantly G × E interaction. AMMI and GGE biplot, AMMI's stability value (ASV) indicate that the Desi chickpea variety Teketay with mean yield of 2225.6 kg/ha (highest) and the variety Dimtu (1603.9 kg/ha) followed by Natoli with mean yield of 2004.9 kg/ha were found to be stable and adaptable to all environments. Similarly, from the Kabuli chickpea varieties, the variety Koka with mean grain yield of 2257.1 kg/ha (highest) and the variety Ejere with mean yield of 1997.6 kg/ha followed by Shasho (1798.59 kg/ha) were found to be stable and adaptable to all environments and should be promoted for production in chickpea-growing areas of Ethiopia. In conclusion, identification of stable improved varieties for the different agroecological regions can assist the producers such as the farmers for the effective chickpea production. This leads to sustainable self-sufficiency of food at the household and country level.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.227","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140552732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ppomicsdb: A Multi-Omics Database for Genetic and Molecular Breeding Applications in Pigeonpea","authors":"Nisha Singh,&nbsp;Megha Ujinwal,&nbsp;Nagendra Kumar Singh","doi":"10.1002/leg3.220","DOIUrl":"https://doi.org/10.1002/leg3.220","url":null,"abstract":"<p><i>Cajanus cajan</i>, commonly known as Arhar or tur in India, is a highly treasured plant species belonging to the Fabaceae family. Pigeonpea is a drought-tolerant legume crop produced in the world's tropics and subtropics areas, rich source of protein, carbohydrates, fiber, and minerals. It is considered as “meat for vegetarian people” and addresses malnutrition issues globally. Despite its nutritional and economic importance, the lack of comprehensive knowledge about its genomic resources prevents it from being used wisely through molecular breeding programs and biotechnological intervention. Several genomic repositories on pigeonpea are available; however, there is no cohesive integrated multi-omics database available for <i>C. cajan</i>. Here, we present a first report on comprehensive pigeonpea omics database, named as <i>Ppomics database</i> (db) available at https://ppomics.multiwebx.com/, which provides up-to-date various aspects of multi-omics information devoted to the catalogs phenomics (both qualitative and quantitative), genomics, transcriptomics, and proteomics data. <i>Ppomics</i> db is an integrated multi-omics platform for discovering important regulators of several qualitative and quantitative traits in pigeonpea, which can be utilized for superior breed development. <i>Ppomics</i> db has been made available to researchers to acquire the related omics information and perform multi-omics data analysis.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.220","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140550082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are Lentil (Lens culinaris) Farms Productive, Profitable, and Efficient in Resource Allocation? A Cross-Sectional Study From Nepal","authors":"Binod Ghimire,&nbsp;Shiva Chandra Dhakal,&nbsp;Santosh Marahatta,&nbsp;Ram Chandra Bastakoti","doi":"10.1002/leg3.217","DOIUrl":"https://doi.org/10.1002/leg3.217","url":null,"abstract":"<p>The study was based on primary data from 473 lentil farmers selected randomly to analyze productivity, profitability, efficiency, and sensitivity of lentil farms in Nepal. Methods like benefit–cost, break-even, margin safety, and sensitivity analysis, scaling technique, Cobb–Douglas type of production function, and stochastic frontier were adopted to derive farm economics, allocative, and cost efficiency levels. With average productivity of 672 kg/ha, lentil farmers in the study area were earning about 41% profit as of gross return with a profitability index of 0.78. About 45% margin of safety and estimates of benefit–cost ratio above one on all sensitivity measures is indicative of low risk and robust enterprise. Resources allocated in lentil production were found inefficient, and to achieve maximum return, expenses on land preparation, seed, nutrient, and plant protection cum irrigation should be increased by 27.6%, 80%, 33.1%, and 97%, respectively. Similarly, expenses on labor and harvesting activities need to be decreased by 30.1% and 23.6%. Labor cost and seed cost were the most important variables, and a 1% increase would surge the total production costs by 0.42% and 0.19%, respectively. The cost efficiency was estimated as 1.137 mean value, meaning that over 13.7% of the costs in lentil farms is wasted while comparing best-practiced farm. Only about 48% of farms is fairly efficient at efficiency levels 1.0 to 1.09, but the majority is inefficient, which needs to minimize the waste of resources. Although suffering from climatic risks and production-related problems, lentil enterprise is profitable, less risky, less sensitive, and fairly to inefficient in resource use. Wise attention is need on the part of farm management and resource utilization. Farmers are suggested to maintain farm size around 0.5 ha or below 1 ha, use only improved varietal seed, cut labor expenses with the use of machinery, and perform adequate tillage during sowing followed by effective disease management practices.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.217","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140544405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Pinto Genotypes of Common Bean for Resistance to Anthracnose","authors":"Brian P. Mwense,&nbsp;Swivia M. Hamabwe,&nbsp;Kuwabo Kuwabo,&nbsp;Mebelo Mataa,&nbsp;Phillip N. Miklas,&nbsp;Chikoti Mukuma,&nbsp;Kelvin Kamfwa","doi":"10.1002/leg3.228","DOIUrl":"https://doi.org/10.1002/leg3.228","url":null,"abstract":"<p>Common bean (<i>Phaseolus vulgaris</i> L.) is an important crop grown for household revenue, food, and nutrition security in many parts of the world, especially in Africa and Latin America. Anthracnose caused by <i>Colletotrichum lindemuthianum</i> is a major disease of common bean globally. The objective of this study was to determine the response of selected pinto bean genotypes to seven races of <i>C. lindemuthianum</i> the causative fungus for anthracnose. A total of 56 pinto bean genotypes and three checks were evaluated for resistance to <i>C. lindemuthianum</i> races 51, 65, 73, 247, 253, 263, and 1085. Significant differences were observed among the 56 pinto genotypes in their reaction to the seven races, which was generally skewed towards susceptibility except for races 51 and 73. There was no genotype that was resistant to all seven races. In general, the genotypes that showed resistance to most of the races were those that carried <i>Co-4</i>^<i>2</i>, which highlighted the importance of this locus to anthracnose resistance in pinto beans. Three genotypes—NDZ14006-4, NDZ14110-4, and NDZ14043—showed superior resistance (resistant to six of the seven races).</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.228","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140544407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Efficiency of Weighted Average of Stability and Mean Performance Estimated by Linear Mixed Models for Identifying High-Yielding Lentil Genotypes Adapted to Rainfed Regions","authors":"Seyedeh Soudabeh Shobeiri,&nbsp;Payam Pezeshkpour,&nbsp;Bita Naseri","doi":"10.1002/leg3.226","DOIUrl":"https://doi.org/10.1002/leg3.226","url":null,"abstract":"<p>A combination of the two methods of stability analysis, the additive main effect and multiplicative interaction (AMMI) and the best linear unbiased prediction (BLUP), based on weighted average of stability (WAASB) estimated by the linear mixed models (LMM) index identified the improved genotypes. In this study, 17 advanced genotypes of lentil were studied at two locations, Zanjan and Maragheh, during the two seasons. To examine the genotype × environment interaction, the AMMI and BLUP methods using the WAASB and weighted average of mean performance (WAASBY) index were combined to evaluate the performance stability of genotypes according to different experimental plots. Considering the significant genotype × environment interaction based on likelihood ratio test (LRT), data were analyzed by the BLUP method. The highest grain yield was detected for genotype 13, followed by genotypes 7, 11, 20, 5, 12, and 19 with higher productivity than the grand mean. To select genotypes according to yield and stability, the WAASBY index was defined by combining mean grain yield and stability. Considering 50:50 contributions for the two components, the grain yield and stability of the 13 genotypes were higher than the grand mean. The highest WAASBY was observed for genotypes 7, 20, and 12, which were determined as the best genotypes of lentil under agroecological conditions encountered in the current study regions.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.226","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140544406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Comparison of Spectral Preprocessing Methods and Their Effects on Nutritional Traits in Cowpea Germplasm","authors":"Siddhant Ranjan Padhi,&nbsp;Racheal John,&nbsp;Kuldeep Tripathi,&nbsp;Dhammaprakash Pandhari Wankhede,&nbsp;Tanay Joshi,&nbsp;Jai Chand Rana,&nbsp;Amritbir Riar,&nbsp;Rakesh Bhardwaj","doi":"10.1002/leg3.229","DOIUrl":"https://doi.org/10.1002/leg3.229","url":null,"abstract":"<p>Cowpea (<i>Vigna unguiculata</i> L. (Walp)) is a multipurpose legume, which has good nutritional properties. Nutritional parameters assessed conventionally can be labour intensive, costly and time taking for germplasm screening. Near-infrared reflectance spectroscopy (NIRS) is a rapid and nondestructive method, which can facilitate high-throughput germplasm screening. In our study, estimation of amylose and sugars has been done using NIRS. Two preprocessing methods, that is, SNV-DT (standard normal variate with detrending) and MSC (multiplicative scatter correction), were performed for optimization of the original spectra. Subsequently, MPLS (modified partial least square) regression method was employed to construct the prediction models. In amylose, the best RSQ_external (coefficient of determination) (0.962) was found in SNV-DT with mathematical treatment 3,8,8,2. The same result was shown in sugar where the best RSQ_external (0.914) was found in SNV-DT with mathematical treatment 3,4,4,1. Overall, in the case of amylose and sugars, SNV-DT was found to be a good preprocessing treatment than MSC. Paired <i>t</i>-test values in all the treatments for both the preprocessing methods were &gt; 0.05 indicating their reliability. High RSQ_external values for both the traits imply the applicability of the prediction models. Thus, these models can facilitate high-throughput germplasm screening in different national and international crop improvement programmes focusing on quality traits.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.229","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140544408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic and the Environmental Influences on the Concentrations Iron and Zinc in Small Seeded Common Bean (Phaseolus vulgaris L.) Varieties and Advanced Lines From Ethiopia","authors":"Girum K. Ejigu,&nbsp;Raymond P. Glahn,&nbsp;Clare M. Mukankusi,&nbsp;Berhanu A. Fenta,&nbsp;Jason A. Wiesinger","doi":"10.1002/leg3.221","DOIUrl":"https://doi.org/10.1002/leg3.221","url":null,"abstract":"<p>Common bean (<i>Phaseolus vulgaris</i> L.) is a grain legume rich in proteins and micronutrients, particularly iron and zinc. In this study, 30 small-seeded genotypes were planted in five locations in Ethiopia, following an alpha lattice design with three replications, to determine environmental and genotypic influence on the Fe and Zn concentration. Based on their Fe and Zn contents, bean cultivars were evaluated for adaptability and stability using AMMI analysis. The Fe concentrations of raw bean seed varied from 44.4 to 84.4 μg/g within the panel of small-seeded genotypes, with an average range of variance of 18 μg/g across environments, and its seed Zn concentrations varied from 19.7 to 32.3 μg/g, with an average range of variance of 12.6 μg/g across environments. The averages bean Fe concentration among the small-seeded genotypes across sites in Ethiopia was 62.2 and 26.1 μg/g for Zn concentrations. Results from the analysis of variance using the AMMI model indicated that genotypes accounted for 20.53% and 9.49% of the total variance in seed Fe and Zn concentrations, respectively. The environment had a greater impact, affecting 60.92% and 81.52% of total sum of squares for Fe and Zn concentrations, respectively. According to the broad-sense heritability, there appears to be some genetic control over Fe and Zn concentrations. However, the substantial effects of the environment and genotype-by-environment interaction on Fe and Zn concentrations in small-seeded genotypes indicates breeding for higher amounts of trace minerals in new bean varieties could be a challenging task. This means the notion that beans can be biofortified to have higher concentrations of Fe and Zn might not be achievable in Ethiopia. A shift in breeding strategies that focuses on traits to enhance the bioavailability of Fe and Zn from bean is warranted and could be a solution to enhance the delivery of iron from small-seeded beans produced in Ethiopia.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.221","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140345699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phytic Acid, Protein, and Oil Contents and Their Relationship With Seed Quality During Seed Maturation of Bambara Nut (Vigna subterranea (L.) Verdc.) Landraces","authors":"Gerard Oballim,&nbsp;Wilson R. Opile,&nbsp;Julius O. Ochuodho","doi":"10.1002/leg3.222","DOIUrl":"https://doi.org/10.1002/leg3.222","url":null,"abstract":"<p>Phytic acid, proteins, and oils are seed storage compounds that play a role in germination and seedling growth and may determine seed quality. The pattern of accumulation of these compounds and the relationship of their contents with the seed quality of the Bambara nut (BN) are poorly understood. Seeds of three BN landraces, AbiBam001 (black/cream), LocalBam (brown speckled), and TVSU544 (cream), were harvested from two field experiments at different maturation stages and tested for final germination percentage (FGP), germination velocity index (GVI), and seedling dry weight (SDW). Seed samples from the same experiments were analyzed for phytic acid and proximate composition. Kendall's ranked correlation was used to describe relationships between phytic acid, protein, and oil contents and the seed quality of the landraces. Results showed no differences in the phytate, protein, and oil contents of landraces during seed maturation (<i>p</i> &gt; 0.05), except for the phytate content of AbiBam001 (<i>p</i> &lt; 0.05), which increased in the first experiment. At mass maturity, AbiBam001 and LocalBam had higher phytate and less protein and oil contents than TVSU544, implying that seed coat color may influence the phytate, protein, and oil contents of BN landraces. Higher phytate content in landraces appeared to relate positively with FGP, GVI, and SDW and vice versa. Phytic acid may positively affect seed germinability in BN landraces with high phytate content but may affect it negatively in low-phytate landraces. The oil content of all landraces had negative correlations with most seed quality characteristics, suggesting that BN oils either are not priority reserves or play a minimal role in germination and seedling growth.</p>","PeriodicalId":17929,"journal":{"name":"Legume Science","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/leg3.222","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140209604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}