Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/33239
metadata.artigo.dc.title: Estimating genotype × environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models
metadata.artigo.dc.creator: Dias, Kaio Olímpio Das Graças
Gezan, Salvador Alejandro
Guimarães, Claudia Teixeira
Parentoni, Sidney Netto
Guimarães, Paulo Evaristo de Oliveira
Carneiro, Newton Portilho
Portugal, Arley Figueiredo
Bastos, Edson Alves
Cardoso, Milton José
Anoni, Carina de Oliveira
Magalhães, Jurandir Vieira de
Souza, João Cândido de
Guimarães, Lauro José Moreira
Pastina, Maria Marta
metadata.artigo.dc.subject: Water deficit
Genotype x environment interaction
Genetic correlations
Drought tolerance
Zea mays L.
metadata.artigo.dc.publisher: Crop Science Society of America (CSSA)
metadata.artigo.dc.date.issued: 2018
metadata.artigo.dc.identifier.citation: DIAS, K. O. das G. et al. Estimating genotype × environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models. Crop Science, [S.l.], v. 58, n. 1, p. 72-83, 2018. DOI: 10.2135/cropsci2016.07.0566
metadata.artigo.dc.description.abstract: Water deficit is one of the most common causes of severe crop-production losses worldwide in maize (Zea mays L.). The main goal of this study was to infer about genotype × environment interaction (G × E) and to estimate genetic correlations between drought tolerance traits in maize using factor analytic (FA) multiplicative mixed models in the context of multi-environment trial (MET) and multi-trait multi-environment trial (MTMET) analyses. The traits measured were: grain yield (GY), ears per plot (EPP), anthesis-silking interval (ASI), female flowering time (FFT), and male flowering time (MFT). Three-hundred and eight hybrids were evaluated in a total of eight trials conducted under water-stressed (WS) and well-watered (WW) conditions across 2 yr and two locations in Brazil. For most of the traits (GY, ASI, and FFT), the magnitude of the genetic variances differed across WS and WW conditions. Genetic correlations between water conditions for FFT and MFT were 0.81 and 0.82, respectively, indicating that it might be unnecessary to measure these traits in both water conditions. Grain yield and EPP showed moderate to high G × E, with genetic correlations of 0.57 and 0.39 between WS and WW conditions, respectively, which suggested that gene expression was not consistent across different water regimes. Therefore, it is necessary to evaluate these traits under both water conditions. Genetic correlations between pairs of traits, in general, were higher under WS conditions compared with WW conditions. Grain yield exhibited moderate correlations with EPP (r = 0.62) and FFT (r = −0.42) under WS conditions. The FA models can be a useful tool for MET and MTMET analyses in maize breeding programs for drought tolerance.
metadata.artigo.dc.identifier.uri: https://dl.sciencesocieties.org/publications/cs/abstracts/58/1/72
http://repositorio.ufla.br/jspui/handle/1/33239
metadata.artigo.dc.language: en_US
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