Predicting the performance of untested maize single cross hybrids based on information from genomic relationship matrix and genotype by environment interaction

Predicting the performance of untested maize single cross hybrids based on information from genomic relationship matrix and genotype by environment interaction

Phenotyping in multi-environment trials (MET) plays an important role to access the differential response of maize hybrids across target breeding regions due to genotype by environment (GxE) interaction. In this context, an effective model of genomic selection (GS) to predict the performance of unte...

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Bibliographic Details
Main Author: Krause, Matheus Dalsente
Other Authors: Garcia, Antonio Augusto Franco
Format: Others
Language:en
Published: Biblioteca Digitais de Teses e Dissertações da USP 2018
Subjects:
Ensaios para múltiplos ambientes
GBLUP
Genomic Selection
Multi-Environment Trials
Seleção genômica
Variance-Covariance
Variância-covariância
Online Access:http://www.teses.usp.br/teses/disponiveis/11/11137/tde-01082018-145640/

Internet

http://www.teses.usp.br/teses/disponiveis/11/11137/tde-01082018-145640/

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