Open AccessPhenotypic multicarter selection approach to predict genetics applied in the segregating generations F2, F3 and F4 of common black beans
Author(s) -
Ivan Ricardo Carvalho,
Vinícius Jardel Szareski,
Gustavo Henrique Demari,
Maurício Horbach Barbosa,
Franciene Lautenchleger,
Velci Queiróz de Souza,
Suélen Matiasso Fachi,
Daniel Boeno,
Mayara Torres Mendonça,
Henrique Eguilhor Rodrigues,
Jainara Fresinghelli Netto,
Francisco Amaral Vilella,
Tiago Pedó
Publication year - 2019
Publication title -
plant omics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.285
H-Index - 25
eISSN - 1836-3644
pISSN - 1836-0661
DOI - 10.21475/poj.12.01.19.pt1516
Subject(s) - biology , selection (genetic algorithm) , genetics , phenotype , genotype , phenotypic trait , gene , artificial intelligence , computer science
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.