The use of unbalanced historical data for genomic selection in an international wheat breeding program
Under a Creative Commons license
open access
Abbreviations
CIMMYT
International Center for Maize and Wheat Improvement
FA
factor analytic model
G-BLUP
genotypic covariance matrix-best linear unbiased predictor model
GID
genotypic identification number
G×E
genotype by environment
GL
global model
GS
genomic selection
IN
interaction model
ME
mega-environment
SAWYT
semi-arid wheat yield trial
SP
cluster-specific model
Keywords
Genomic selection
Genotype-by-environment interaction
Wheat breeding
Unbalanced data
Mega-environments
Cited by (0)
- 1
Present address: Syngenta Seeds Cereal Research and Development, Paris, France.
Copyright © 2013 The Authors. Published by Elsevier B.V.