Validação cruzada com correção de autovalores e regressão isotônica nos modelos de efeitos principais aditivos e interação multiplicativa


Autoria(s): Piovesan, Pamela; de Araujo, Lucio Borges; dos Santos Dias, Carlos Tadeu
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

20/05/2014

20/05/2014

01/07/2009

Resumo

This paper presents an application of AMMI models - Additive Main effects and Multiplicative Interaction model - for a thorough study about the effect of the interaction between genotype and environment in multi-environments experiments with balanced data. Two methods of crossed validation are presented and the improvement of these methods through the correction of eigenvalues, being these rearranged by the isotonic regression. A comparative study between these methods is made, with real data. The results show that the EASTMENT & KRZANOWSKI (1982) method selects a more parsimonious model and when this method is improved with the correction of the eigenvalues, the number of components are not modified. GABRIEL (2002) method selects a huge number of terms to hold back in the model, and when this method is improved by the correction of eigenvalue, the number of terms diminishes. Therefore, the improvement of these methods through the correction of eigenvalues brings a great benefit from the practical point of view for the analyst of data proceeding from multi-ambient, since the selection of numbers of multiplicative terms represents a profit of the number of blocks (or repetitions), when the model AMMI is used, instead of the complete model.

Formato

6

Identificador

http://dx.doi.org/10.1590/S0103-84782009005000081

Ciência Rural. Santa Maria: Universidade Federal de Santa Maria (UFSM), v. 39, n. 4, p. 6, 2009.

0103-8478

http://hdl.handle.net/11449/17152

WOS:000268802200010

Idioma(s)

por

Publicador

Universidade Federal de Santa Maria (UFSM)

Relação

Ciência Rural

Direitos

openAccess

Palavras-Chave #genotype x environment interaction #multi-environments experiments #multivariate analysis
Tipo

info:eu-repo/semantics/article