G x E interaction

Selection for wide adaptability and high phenotypic stability of Brazilian soybean genotypes

V. M. Oliveira, Hamawaki, O. T., Nogueira, A. O., Sousa, L. B., Santos, F. M., Hamawaki, R. L., Oliveira, V. M., Hamawaki, O. T., Nogueira, A. O., Sousa, L. B., Santos, F. M., Hamawaki, R. L., Oliveira, V. M., Hamawaki, O. T., Nogueira, A. O., Sousa, L. B., Santos, F. M., and Hamawaki, R. L., Selection for wide adaptability and high phenotypic stability of Brazilian soybean genotypes, vol. 15, p. -, 2016.

Advances in genetic enhancement techniques have led to an increase in soybean production. Thus, soybean is currently one the most economically important cultured species worldwide. The objectives of the present study were to study the interaction of soybean genotypes per environment in terms of grain productivity and to evaluate their phenotypic adaptability and stability, with the final aim of selecting lineages with high productivity, wide adaptability, and high stability.

Factor analysis using mixed models of multi-environment trials with different levels of unbalancing

J. J. Nuvunga, Oliveira, L. A., Pamplona, A. K. A., Silva, C. P., Lima, R. R., and Balestre, M., Factor analysis using mixed models of multi-environment trials with different levels of unbalancing, vol. 14, pp. 14262-14278, 2015.

This study aimed to analyze the robustness of mixed models for the study of genotype-environment interactions (G x E). Simulated unbalancing of real data was used to determine if the method could predict missing genotypes and select stable genotypes. Data from multi-environment trials containing 55 maize hybrids, collected during the 2005-2006 harvest season, were used in this study.

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