Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers-Reference-Cited by-同舟云学术

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Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular Markers

Published:2012-03 Issue:2 Volume:52 Page:707-719
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Burgueño Juan¹,de los Campos Gustavo²,Weigel Kent³,Crossa José¹

Affiliation:

1. Biometrics and Statistics Unit; International Maize and Wheat Improvement Center (CIMMYT); Apdo. Postal 6-641 06600 México D.F. México

2. Dep. of Biostatistics; Univ. of Alabama at Birmingham; Ryals Public Health Bldg. 443 Birmingham AL 35294

3. Dep. of Dairy Science; Univ. of Wisconsin; Madison WI 53706

Funder

National Association of Animal Breeders

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2011.06.0299/fullpdf

Reference37 articles.

1. Prospects for genome-wide selection for quantitative traits in maize;Bernardo;Crop Sci.,2007

2. CIMMYT's approach to breeding for wide adaptation;Braun;Euphytica,1996

3. Modeling additive × environment and additive × additive × environment using genetic covariances of relatives of wheat genotypes;Burgueño;Crop Sci.,2007

4. Using factor analytic models for joining environments and genotypes without crossover genotype × environment interaction;Burgueño;Crop Sci.,2008

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