Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction-Reference-Cited by-同舟云学术

Using Factor Analytic Models for Joining Environments and Genotypes without Crossover Genotype × Environment Interaction

Published:2008-07 Issue:4 Volume:48 Page:1291-1305
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Burgueño Juan¹,Crossa Jose¹,Cornelius Paul L.²,Yang Rong-Cai³⁴

Affiliation:

1. Biometrics and Statistics Unit, Crop Research Informatics Laboratory (CRIL); International Maize and Wheat Improvement Center (CIMMYT); Apdo. Postal 6-641 Mexico D.F. Mexico

2. Department of Plant and Soil Sciences and Department of Statistics; University of Kentucky; Lexington KY 40546-03121

3. Alberta Agriculture and Food; #300, 700-113 Street Edmonton AB T6H 5T6 Canada

4. Department of Agricultural, Food and Nutritional Science; University of Alberta; Edmonton AB T6G 2P5 Canada

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2135/cropsci2007.11.0632/fullpdf

Reference28 articles.

1. Selection response in subdivided target regions;Atlin;Crop Sci.,2000

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

3. Prediction assessment of shrinkage estimators of multiplicative models for multi-environments cultivar trials;Cornelius;Crop Sci.,1999

4. Estimation of general linear-bilinear models for two-way tables;Cornelius;J. Stat. Comput. Simul.,1997

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