ArticlePloS one2021
Morpho-agronomic, biochemical and molecular analysis of genetic diversity in the Mesoamerican common bean panel.
Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- 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
- Genetic Diversity of Common Bean (Plants (Basel, Switzerland) · 2024Article
- Efficiency of RAPD and SCoT Markers in the Genetic Diversity Assessment of the Common Bean.Plants (Basel, Switzerland) · 2023Article
- Article
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9 authors.
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Abstract
The common bean (Phaseolus vulgaris L.) is of great importance to the food and nutritional security of many populations, and exploitation of the crop's genetic diversity is essential for the success of breeding programs. Thus, the aim of the present study was to evaluate the genetic diversity of 215 common bean accessions, which included cultivars, obsolete cultivars, improved lines, and landraces using morpho-agronomic and biochemical traits, and amplified fragment length polymorphism markers (AFLP). Genetic parameters, box plots, Pearson's correlation analysis, and Ward's hierarchical clustering were used to analyze the data. The Jaccard similarity coefficient and neighbour-joining clustering method were used for molecular analysis. A wide variability among the accessions was observed for morpho-agronomic and biochemical traits. Selective accuracy (Ac) and broad-sense heritability (h2) values were high to intermediate for all traits, except seed yield. Ward's hierarchical clustering analysis generated six groups. AFLP analysis also revealed significant differences among the accessions. There was no correlation between the differences based on genetic markers and those based on morpho-agronomic and biochemical data, which indicates that both datasets are important for elucidating the differences among accessions. The results of the present study indicate great genetic diversity among the evaluated accessions.
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