Using Partial Least Squares Regression, Factorial Regression, and AMMI Models for Interpreting Genotype × Environment Interaction-Reference-Cited by-同舟云学术

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Using Partial Least Squares Regression, Factorial Regression, and AMMI Models for Interpreting Genotype × Environment Interaction

Published:1999-07 Issue:4 Volume:39 Page:955-967
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Sci.

Author:

Vargas Mateo¹²,Crossa José³,Eeuwijk Fred A.⁴,Ramírez Martha E.⁵,Sayre Ken⁶

Affiliation:

1. Programa de Estadística del Instituto de SocioeconomíaEstadística e Informáitica (ISEI)Colegio de PostgraduadosCP 56230MontecilloMexico

2. International Maize ad Wheat Improvement Center (CIMMYT)Lisboa 27, Apdo. Postal 6‐64106600MexicoD.F.Mexico

3. Biometrics and Statistics UnitCIMMYLisboa 27, Apdo. Postal 6‐64106600MexicoD.F.Mexico

4. Dep. of AgriculturalEnvironmental and Systems TechnologyWageningen Agricultural Univ.Dreijenlaan 46703HAWageningenthe Netherlands

5. Programa de Estadística del Instituto de SocioeconomíaEstadistica e Informática (ISEI)Colegio de PostgraduadosCP56230MontecilloMexico

6. Wheat ProgramCIMMYTLisboa 27, Apdo. Postal 6‐64106600MexicoD.F.Mexico

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2135/cropsci1999.0011183X003900040002x

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