Statistical models in agriculture: biometrical methods for evaluating
phenotypic stability in plant breeding

Clarice  Garcia Borges Demétrio; Bryan Frederick  John Manly; Amauri  de Almeida Machado; Daniel  Furtado Ferreira; Roland  Vencovsky

Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding

Autores

Clarice Garcia Borges Demétrio

Bryan Frederick John Manly

Amauri de Almeida Machado

Daniel Furtado Ferreira

Roland Vencovsky

Editor

Universidade Federal de Lavras

Descripción

This paper reviews the main concepts of several methods of phenotypic stability analysis and points out theiradvantages and limitations. It was concluded that the simple linear regression method of Eberhart & Russel (1966) and the bisegmented regression method of Silva & Barreto (1985) have only historical importance nowadays. Moreover, based on factorsdiscussed in the paper, it is recommended that the regression models of Toler & Burrows (1998) and the Additive Main effects andMultiplicative Interactions (AMMI) model should be used simultaneously to study and to estimate phenotypic stability effects.