ArticlePlants (Basel, Switzerland)2024
Genetic Diversity of Common Bean (
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Physiological and Biochemical Responses of Two Major Legume Crops to Seed Priming-A Systematic Review.Plants (Basel, Switzerland) · 2026Review
- Visible-Near-Infrared Hyperspectral Imaging Enables Nondestructive Identification of Bean Accessions via 1D Spectral Reflectance Analysis.ACS omega · 2026Article
- Uncovering Phenotypic Variation in Common Bean (Plants (Basel, Switzerland) · 2026Article
- Integrating Prognostic Breeding Approach Through Phenotypic and Marker-Assisted Selection for Yield and BCMV Resistance in Common Bean Greek Landraces.Plants (Basel, Switzerland) · 2026Article
- VIS-NIR-SWIR Hyperspectral Imaging and Advanced Machine and Deep Learning Algorithms for a Controlled Benchmark of Bean Seed Identification and Classification.Plants (Basel, Switzerland) · 2026Article
- Population structure and diversity of common bean (Phaseolus vulgaris L.) landraces in the Peruvian Amazon.PloS one · 2026Article
- Genetic Diversity Evaluation of 70 Chewing Cane Germplasm Resources Based on Phenotypic Traits.Plants (Basel, Switzerland) · 2025Article
- Molecular Characterization of Citrus Accessions Grown for Pre-Breeding Purposes.Current issues in molecular biology · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
The objective of this study was to evaluate the genetic diversity among traditional common bean accessions through morphological descriptors and molecular markers. Sixty-seven common bean accessions from the Germplasm bank of the Instituto Federal of Espírito Santo-Campus de Alegre were evaluated. For this, 25 specific morphological descriptors were used, namely 12 quantitative and 13 qualitative ones. A diversity analysis based on morphological descriptors was carried out using the Gower algorithm. For molecular characterization, 23 ISSR primers were used to estimate dissimilarity using the Jaccard Index. Based on the dendrograms obtained by the UPGMA method, for morphological and molecular characterization, high genetic variability was observed between the common bean genotypes studied, evidenced by cophenetic correlation values in the order of 0.99, indicating an accurate representation of the dissimilarity matrix by the UPGMA clustering. In the morphological characterization, high phenotypic diversity was observed between the accessions, with grains of different shapes, colors, and sizes, and the accessions were grouped into nine distinct groups. Molecular characterization was efficient in separating the genotypes in the Andean and Mesoamerican groups, with the 23 ISSR primers studied generating an average of 6.35 polymorphic bands. The work identified divergent accessions that can serve different market niches, which can be indicated as parents to form breeding programs in order to obtain progenies with high genetic variability.
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