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<p>This work aimed to evaluate the stability and adaptability of commercial and experimental maize hybrids tested in three locations in Mato Grosso do Sul (MS) in the 2021 and 2022 agricultural years. We identified superior hybrids that can be recommended broadly and restrictedly to optimize productivity. The randomized complete block design (RCBD) was used to evaluate the grain yield per plot (ton/ha) with the additive main effects model and multiplicative interaction via Bayesian inference (BAMMI). It was observed from the results that the genotype by environment interaction (G x E) did not behave in a complex way and that the hybrids, in general, do not have significant contributions to the interaction. Furthermore, it was found that stable and productive hybrids can be selected regardless of genetic structure. The G26 genotype, which is the simple commercial hybrid B2702, stood out as one of the best cultivars. However, it was observed that there are experimental hybrids as good as B2702, such as G9, which is a double hybrid. This result is relevant since double hybrid cultivation is more viable in low investment contexts, as occurs in smallholder farming. Finally, the BAMMI model proved to be a versatile tool with flexibility to overcome the limitations inherent to classical and frequentist analyses of linear-bilinear models.</p>

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Assessing the stability and adaptability of maize hybrid yield with the Bayesian AMMI model

  • 期刊论文

  • 发表日期：

    2025年3月22日

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  • Eliam Vitor Pereira da Silva,
  • Livia Maria Chamma Davide,
  • Camila Gianlup,
  • Wanderley Jorge Soares de Oliveira,
  • Luciano Antonio de Oliveira,
  • Alessandra Querino da Silva,
  • Carlos Pereira da Silva,
  • Cristian Tiago Erazo Mendes,
  • Shahid Khan

摘要

This work aimed to evaluate the stability and adaptability of commercial and experimental maize hybrids tested in three locations in Mato Grosso do Sul (MS) in the 2021 and 2022 agricultural years. We identified superior hybrids that can be recommended broadly and restrictedly to optimize productivity. The randomized complete block design (RCBD) was used to evaluate the grain yield per plot (ton/ha) with the additive main effects model and multiplicative interaction via Bayesian inference (BAMMI). It was observed from the results that the genotype by environment interaction (G x E) did not behave in a complex way and that the hybrids, in general, do not have significant contributions to the interaction. Furthermore, it was found that stable and productive hybrids can be selected regardless of genetic structure. The G26 genotype, which is the simple commercial hybrid B2702, stood out as one of the best cultivars. However, it was observed that there are experimental hybrids as good as B2702, such as G9, which is a double hybrid. This result is relevant since double hybrid cultivation is more viable in low investment contexts, as occurs in smallholder farming. Finally, the BAMMI model proved to be a versatile tool with flexibility to overcome the limitations inherent to classical and frequentist analyses of linear-bilinear models.