Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design

Selection of maize hybrids: an approach with multi-trait, multi-environment, and ideotype-design

Abstract: The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle, morphology, and yield traits in four environments. Models accounting for homogeneous and heterogeneous residual variances were tested, and variance components were estimated using the residual maximum likelihood. Genotypic values were predicted by best linear unbiased prediction, and factor analysis was applied to group the traits. The FAI-BLUP index was used for the selection of maize hybrids based on ideotype design. Three factors explained more than 70% of genotypic variability, with selective accuracies varying from low (0.46) to high (0.99). Predicted genetic gains were positive for traits related to yield and negative for traits related to cycle and morphology, as is desirable in maize crop.

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Bibliographic Details
Main Authors: Peixoto,Marco Antônio, Coelho,Igor Ferreira, Evangelista,Jeniffer Santana Pinto Coelho, Santos,Suellen Sales de Oliveira, Alves,Rodrigo Silva, Pinto,Jefferson Fernando Naves, Reis,Edésio Fialho dos, Bhering,Leonardo Lopes
Format: Digital revista
Language:English
Published: Crop Breeding and Applied Biotechnology 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332021000200201
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Summary:Abstract: The present study aimed to evaluate the applicability and efficiency of the FAI-BLUP index in the genetic selection of maize hybrids, using 84 maize hybrids that were evaluated for cycle, morphology, and yield traits in four environments. Models accounting for homogeneous and heterogeneous residual variances were tested, and variance components were estimated using the residual maximum likelihood. Genotypic values were predicted by best linear unbiased prediction, and factor analysis was applied to group the traits. The FAI-BLUP index was used for the selection of maize hybrids based on ideotype design. Three factors explained more than 70% of genotypic variability, with selective accuracies varying from low (0.46) to high (0.99). Predicted genetic gains were positive for traits related to yield and negative for traits related to cycle and morphology, as is desirable in maize crop.

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