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...
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: | |
Online Access: | http://www.teses.usp.br/teses/disponiveis/11/11137/tde-01082018-145640/ |
Similar Items
-
Improving accuracy of genomic prediction in maize single-crosses through different kernels and reducing the marker dataset
by: Massáine Bandeira e Sousa
Published: (2017) -
Improving accuracy of genomic prediction in maize single-crosses through different kernels and reducing the marker dataset
by: Sousa, Massáine Bandeira e
Published: (2017) -
Genomic Prediction of Average Daily Gain, Back-Fat Thickness, and Loin Muscle Depth Using Different Genomic Tools in Canadian Swine Populations
by: Siavash Salek Ardestani, et al.
Published: (2021-06-01) -
ICGRM: integrative construction of genomic relationship matrix combining multiple genomic regions for big dataset
by: Dan Jiang, et al.
Published: (2019-12-01) -
Genomic selection of agronomic traits in hybrid rice using an NCII population
by: Yang Xu, et al.
Published: (2018-05-01)