Univariate and multivariate analysis of genetic diversity in common bean

Abstract

ABSTRACT Genetic diversity is important for conservation and genetic improvement of common beans. This study aimed to estimate the genetic diversity among common bean genotypes from the Embrapa germplasm collection using univariate and multivariate analyses. The experiment was conducted in the region of Aquidauana-MS, at the State University of Mato Grosso do Sul, in a randomized block design with three replications and twenty-three genotypes, in 2021. The agronomic traits considered in the study were plant height, height to first pod, number of branches, number of pods per plant, number of grains per pod, hundred-grain mass, and grain yield. Descriptive analysis, univariate and multivariate variance analyses, mean clustering, phenotypic correlation network, UPGMA analysis (Unweighted Pair Group Method with Arithmetic Mean), and canonical variables were used to examine the data. The genotypes showed significant differences for plant height, height to first pod, number of branches per plant, number of pods per plant and yield, with potential for the selection of these traits. CNFC17278, CNFC17305, CNFC19133 and CNFC19198 showed superior yield potential compared to the other lines. The combined use of statistical methodologies can provide more information about the genotypes studied.

Keywords

• UPGMA analysis
• Phaseolus vulgaris L.
• phenotypic correlation network
• selection
• canonical variables