Phenotypic multicarter selection approach to predict genetics applied in the segregating generations F2, F3 and F4 of common black beans

Abstract

The objective of this work was to apply the phenotypic multicarter selection and predictive genetic for the attributes of the yield of common black bean seeds in the segregating generations F2, F3 and F4.The experimental design was augmented blocks, where the BRS Esplendor (BE), BRS Supremo (BS) and IPR Tiziu (IT) genotypes were used as controls arranged in four replicates, the other treatments were organized in a unique way in the experiment, the F2 segregating generation being represented by 36 common black bean populations, F3 segregating generation composed of 72 families and the F4 segregating generation formed by 44 families. The multicarter phenotypic index provided the simultaneous selection for the number and mass of seeds per plant, independent of the segregating generation of common black bean.Multicarter genetic variation is superior for the F3 segregating generation, with pronounced environmental effects on the F4 generation.The F4 segregating families express superiority to the genetic gain and magnitude of superior genotypes in relation to the commercial controls, where high genetic increase is exposed between the F3 to F4selection.The use of the phenotypic index expresses applicability to the selection of common black bean genotypes to increase seed yield.

Akaike criteria and selection of physiological multi-character indexes for the production of black oat seeds

“…Due to the little information related to the genetic improvement of black oats, for the development of new genotypes, and biometric strategies that facilitate the selection process (Silveira et al 2010), the use of multicharacter selection tools provides the identification of complex characteristics, being able to consider components the selection of characters of the components of yield of the oats, that present indirect improvement in the indicators of physiological quality of the seeds. These methods allow for more homogeneity, minimal losses, assignment of multiple selection strategies and rapid gains during breeding and seed production (Pelegrin et al 2017;Sponchiado 2018;Szareski et al 2018;Carvalho et al 2019;Szareski et al 2019;Corazza et al 2020).…”