A comparison of univariate and multivariate methods to analyze G×E interaction

Flores, F. and Moreno, M.T. and Cubero, J.I. (1998) A comparison of univariate and multivariate methods to analyze G×E interaction. Field Crops Research, 56 (3). pp. 271-286.

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Twenty-two different methods (parametric, nonparametric and multivariate) used for analysing genotype×environment (G×E) interaction were compared by applying them to two sets of experimental data (15 faba bean cultivars×12 environments and 11 pea cultivars×16 environments). A principal components analysis was performed on the rank correlation matrix arising from the application of each method. The 22 methods can be categorized, in both sets of experimental data, in three groups: (1) those which are mostly associated with yield level and show little or no correlation with stability parameters; (2) those in which both yield level and stability of performance are considered simultaneously to reduce the effect of G×E interaction; and (3) those methods which only measure stability. This analysis also separated those methods based on an agronomic concept of stability from those which are based on a biological one, as well as distinguishing between `dynamic' and `static' stability-based methods

Item Type: Article
Additional Information: SNNigam Collection
Uncontrolled Keywords: Genotype–environment interaction; Principal components analysis; Stability; Yield
Author Affiliation: Universidad de Huelva, E.P.S. La Rábida, Dpto. de Ciencias Agroforestales, 21819 Palos de la Frontera (Huelva), Spain
Subjects: Statistics and Experimentation
Divisions: General
Depositing User: Mr B Krishnamurthy
Date Deposited: 25 Apr 2013 10:06
Last Modified: 25 Apr 2013 10:08
Official URL: http://dx.doi.org/10.1016/S0378-4290(97)00095-6
URI: http://eprints.icrisat.ac.in/id/eprint/10347

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