STATISTICAL MODELS IN AGRICULTURE: BIOMETRICAL METHODS FOR EVALUATING PHENOTYPIC STABILITY IN PLANT BREEDING

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

Abstract

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

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How to Cite
FERREIRA, Daniel Furtado et al. STATISTICAL MODELS IN AGRICULTURE: BIOMETRICAL METHODS FOR EVALUATING PHENOTYPIC STABILITY IN PLANT BREEDING. CERNE, [S.l.], v. 12, n. 4, p. 373-388, oct. 2015. ISSN 2317-6342. Available at: <http://cerne.ufla.br/site/index.php/CERNE/article/view/572>. Date accessed: 21 sep. 2019.
Keywords
AMMI, non-linear statistical models, linear regression models
Section
Article