1. Adaptability and stability of maize genotypes in growing regions of central Brazil
- Author
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Euriann Lopes Marques Yamamoto, Adriano dos Santos, Livia Maria Chamma Davide, Manoel Carlos Gonçalves, and Liliam Silvia Candido
- Subjects
GGE-Biplot ,General Veterinary ,biology ,Restricted maximum likelihood ,Agriculture (General) ,media_common.quotation_subject ,AMMI-Biplot ,Ammi ,Lin & Binns with decomposition ,Best linear unbiased prediction ,REML/BLUP ,biology.organism_classification ,Stability (probability) ,Adaptability ,S1-972 ,Zea mays L ,Statistics ,Genotype ,Grain yield ,General Agricultural and Biological Sciences ,TP248.13-248.65 ,Biotechnology ,Mathematics ,media_common - Abstract
This study aimed to estimate and compare parameters of adaptability and stability for maize grain yield in a variety of environments by different projection methods. Data from experiments on 36 maize genotypes, in simple lattice 6x6, in 2012/13 season performed at nine growing locations in central Brazil were used. Adaptability and stability analyses were performed using the methods of Lin & Binns (1988) with decomposition, MHPRVG through REML/BLUP, AMMI-Biplot, and GGE-Biplot analysis. These methods have similarities in terms of genotype ordering but differ in precision and amount of information provided on genotype-environment (GxE) interactions. When compared to GGE-Biplot, AMMI method retained a good percentage of the total square sum, based on pattern of GxE interaction. The method of Lin & Binns with decomposition is similar to MHPRVG, but these one is more accurate, practice and informative. MHPRVG and GGE-Biplot methods should be used together to select the most promising genotypes. The genotypes G5 and G8 can be recommended for cultivation in central Brazil due to their adaptability, stability, and yield.
- Published
- 2021
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