ArticleThe plant genome2022
Seed coat color genetics and genotype × environment effects in yellow beans via machine-learning and genome-wide association.
Article in The plant genome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Genomic resources to advance seed coat color and patterning genetics and breeding in common bean (Phaseolus vulgaris L.).The plant genome · 2026Article
- Omics Technologies in Molecular Biology.International journal of molecular sciences · 2026Article
- Editorial: Utilizing machine learning with phenotypic and genotypic data to enhance effective breeding in agricultural and horticultural crops.Frontiers in plant science · 2026Article
- Mapping of quantitative trait locus for resistance to anthracnose in a population derived from genotypes PI 527538 and Ervilha of common bean.Frontiers in plant science · 2025Article
- Consumer traits of common beans: a global and regional perspective on seed coat darkening, cooking time, protein, and mineral content.Frontiers in nutrition · 2025Review
- Article
- Genome-Wide Association Study on Cowpea seed coat color using RGB images.Molecular breeding : new strategies in plant improvement · 2024Article
- A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model.Scientific reports · 2024Article
- Factors Influencing the Emergence of Heterogeneous Populations of Common Bean (Plants (Basel, Switzerland) · 2024Review
- Integrated metabolomic and transcriptomic dynamic profiles of endopleura coloration during fruit maturation in three walnut cultivars.BMC plant biology · 2024Article
- Genome-wide association and genomic prediction for iron and zinc concentration and iron bioavailability in a collection of yellow dry beans.Frontiers in genetics · 2024Article
- An omics strategy increasingly improves the discovery of genetic loci and genes for seed-coat color formation in soybean.Molecular breeding : new strategies in plant improvement · 2023Article
- Genome-wide association study for the extractable phenolic profile and coat color of common bean seeds (Phaseolus vulgaris L.).BMC plant biology · 2023Article
- Genome-wide association analysis of anthracnose resistance in the Yellow Bean Collection of Common Bean.PloS one · 2023Article
- Seed coat color genetics and genotype × environment effects in yellow beans via machine-learning and genome-wide association.The plant genome · 2022Article
- Revealing seed color variation and their possible association with yield and quality traits in a diversity panel of flax (Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Common bean (Phaseolus vulgaris L.) is consumed worldwide, with strong regional preferences for seed appearance characteristics. Colors of the seed coat, hilum ring, and corona are all important, along with susceptibility to postharvest darkening, which decreases seed value. This study aimed to characterize a collection of 295 yellow bean genotypes for seed appearance and postharvest darkening, evaluate genotype × environment (G × E) effects and map those traits via genome-wide association analysis. Yellow bean germplasm were grown for 2 yr in Michigan and Nebraska and seed were evaluated for L*a*b* color values, postharvest darkening, and hilum ring and corona colors. A model to exclude the hilum ring and corona of the seeds, black background, and light reflection was developed by using machine learning, allowing for targeted and efficient L*a*b* value extraction from the seed coat. The G × E effects were significant for the color values, and Michigan-grown seeds were darker than Nebraska-grown seeds. Single-nucleotide polymorphisms (SNPs) were associated with L* and hilum ring color on Pv10 near the J gene involved in mature seed coat color and hilum ring color. A SNP on Pv07 associated with L*, a*, postharvest darkening, and hilum ring and corona colors was near the P gene, the ground factor gene for seed coat color expression. The machine-learning-aided model used to extract color values from the seed coat, the wide variability in seed morphology traits, and the associated SNPs provide tools for future breeding and research efforts to meet consumers' expectations for bean seed appearance.
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