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

Partial least squares (PLS) and factorial regression (FR) are statistical models that incorporate external environmental and/or cultivar variables for studying and interpreting genotype × environment interaction (GEl). The Additive Main effect and Multiplicative Interaction (AMMI) model uses only th...

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Veröffentlicht in:	Crop science 1999-07, Vol.39 (4), p.955-967
Hauptverfasser:	Vargas, Mateo, Crossa, José, Eeuwijk, Fred A., Ramírez, Martha E., Sayre, Ken
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation to environment and cultivation conditions Agronomy. Soil science and plant productions Biological and medical sciences Cultivars Fundamental and applied biological sciences. Psychology Genetics Genetics and breeding of economic plants Statistical methods Statistical models Varietal selection. Specialized plant breeding, plant breeding aims Wheat
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