Open AccessSelection of soybean populations for earliness and high grain yield
Author(s) -
Katiane Secco Castro,
Renan Massambani Peres,
Alan Mário Zuffo,
Jorge González Aguilera,
Larissa Pereira Ribeiro Teodoro,
Fábio Henrique Rojo Baio,
Paulo Eduardo Teodoro
Publication year - 2020
Publication title -
research, society and development
Language(s) - English
Resource type - Journals
ISSN - 2525-3409
DOI - 10.33448/rsd-v9i7.3816
Subject(s) - selection (genetic algorithm) , grain yield , trait , yield (engineering) , biology , agronomy , growing season , plant breeding , horticulture , microbiology and biotechnology , mathematics , computer science , materials science , metallurgy , programming language , artificial intelligence
Brazilian breeding programs usually aim at finding genotypes with early cycle and high grain yield. Thus, this study aimed to select early soybean lines with high grain yield for the Cerrado region. The experiment was carried out in the 2017-2018 season, in the Universidade Federal de Mato Grosso do Sul, Campus Chapadão do Sul, and consisted of an augmented blocks design, using 196 lines and ten controls, with five replications for each control. The experiment evaluated the traits plant height, number of days to flowering, and grain yield. After verifying the genetic variability for all traits, two selection methods were evaluated, the direct selection in each trait and the simultaneous selection (to decrease plant height and number of days to flowering and increase grain yield, using the Mulamba and Mock index). The latter considered two scenarios were when establishing the economic weight: the coefficient of genotypic variation (CVg) and arbitrary weights. Direct selection on the variables had unsatisfactory results. The Mulamba and Mock revealed unsatisfactory results when using CVg as the economic weight and satisfactory results when using arbitrary weights.