Open AccessMorpho-agronomic, biochemical and molecular analysis of genetic diversity in the Mesoamerican common bean panel
Author(s) -
Alexandre Simões Nogueira,
Vânia Moda-Cirino,
Jéssica Delfini,
Luriam Aparecida Brandão,
Silas Mian,
Leonel Vinícius Constantino,
Douglas Mariani Zeffa,
José dos Santos Neto,
Leandro Simões Azeredo Gonçalves
Publication year - 2021
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0249858
Subject(s) - biology , amplified fragment length polymorphism , phaseolus , genetic diversity , heritability , morpho , jaccard index , upgma , cultivar , molecular marker , genetic variability , genetic variation , botany , evolutionary biology , genotype , cluster analysis , genetics , statistics , mathematics , population , sociology , demography , gene
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 (h 2 ) 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.