Genetic diversity for yield and grain quality of fourth-cycle recurrent-selection progenies of black common bean

Abstract

Abstract Recurrent selection methods are most suitable for improving quantitative traits in plant breeding. This study estimated genetic parameters and assessed the genetic diversity of black common bean progenies from the fourth cycle of recurrent selection. Thirty-five S0:4 progenies and four cultivars were evaluated in a randomized complete block design with three replications across four environments. Grain yield (YIELD), 100-seed weight (100SW), and sieve yield (SY) were evaluated. Molecular characterization was performed using microsatellite markers. Statistical analyses included analysis of variance, genetic parameters, genetic divergence, and population structure. Different strategies were used to select progenies. The analysis of variance showed significant effects for genotypes and the genotype × environment interaction. Expected gains within the program’s potential were 6.01% for YIELD, 3.47% for 100SW, and 2.77% for SY. Molecular analysis indicated inconsistent clustering and lack of genetic structure. For progeny selection, the Mulamba and Mock index with economic weights achieved better gain.