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Statistical models for evaluating the genotype-environment interaction in maize (Zea mays L.)

Kandus1 M, D Almorza3, R Boggio Ronceros2, JC Salerno1
Instituto de Genética, IGEAF, INTA, Castelar, Buenos Aires, Argentina.
Facultad de Agronomía, UNCPBA, Buenos Aires, Argentina.
3 Universidad de Cádiz, España.
* Corresponding Author:Address Correspondence to: Ing. Agr. M. Sc. Mariana Virginia Kandus, e-mail:

Phyton-International Journal of Experimental Botany 2010, 79(all), 39-46. https://doi.org/10.32604/phyton.2010.79.039

Abstract

Our objective was to determine the genotype-environment interaction (GxE) in a hybrid integrated by maize lines either carrying or not balanced lethal systems. Experiments were conducted in three locations over a period of two years considering each yearlocation combination as a different environment. Yield data were analysed using the Additive Main Effects and Multiplicative Interaction (AMMI) model and the Sites Regression Analysis (SREG). Results were represented by biplots. The AMMI analysis was the best model for determining the interaction.

Keywords

Adaptability, Multivariate analysis, Plant breeding, Stability.

Cite This Article

, K., Ronceros, R. B., Salerno, J. (2010). Statistical models for evaluating the genotype-environment interaction in maize (Zea mays L.). Phyton-International Journal of Experimental Botany, 79(all), 39–46.

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This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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