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Prediction of Genetic Gain in Sweet Corn using Selection Indexes

Author:
da Silva, Isadora Gonçalves, Castoldi, Renata, de Oliveira Charlo, Hamilton César, de Souza Miranda, Mateus, Nunes, Thaíssa Dias Cardoso, Costa, Luciene Lacerda, Lemes, Ernane Miranda
Source:
Journal of crop science and biotechnology 2020 v.23 no.2 pp. 191-196
ISSN:
1975-9479
Subject:
Zea mays, agronomic traits, corn cobs, crop production, genetic improvement, genotype, prediction, sweetcorn, Brazil
Abstract:
The cultivation of sweet corn is expanding in Brazil, but there are serious constraints about the availability of commercial cultivars. The selection of superior sweet corn genotypes can be performed based on selection indexes based on plant agronomic characteristics. Thus, the objective of this work was to compare selection indexes to select sweet corn genotypes aiming greater productions. The experiment was conducted at the Vegetable Experimental Station of the Federal University of Uberlândia, Campus Monte Carmelo. Eighteen sweet corn accessions (F3 generation) were evaluated. The selection indexes applied to the agronomic characteristics of sweet corn were: direct and indirect, the sum of ranks, desired gains and ideotype indexes. The characteristics evaluated presented significant differences among genotypes, except for stem diameter, prolificacy and grain number per corncob. The coefficients of variation were below 30%, and the genetic parameters were satisfactory for most of the characteristics. The greatest gains with direct selection were in production (21.23%) and productivity of commercial sweet corn ear (15.19%), however, the indirect gains are unsatisfactory for sweet corn selection, and the sum of ranks index provided a balanced distribution of gains. The sweet corn genotypes L2P11, L2P37, P45, L2L5P3, and L5P18 presented a superior performance for the set of characters evaluated.
Agid:
6833784