Influence of genotype-environment interaction on soybean (Glycine max L.) genetic divergence under semiarid conditions

Autores/as

  • José Ricardo Tavares de Albuquerque Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Hamurábi Anizio Lins Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Manoel Galdino dos Santos Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Márcio Alexandre Moreira de Freitas Department of Agricultural Engineering, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
  • Fernando Sarmento de Oliveira Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Almir Rogério Evangelista de Souza Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Lindomar Maria Silveira Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Glauber Henrique de Sousa Nunes Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Aurélio Paes Barros Júnior Department of Agronomic and Forest Sciences, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil.
  • Paulo Fernando de Melo Jorge Vieira Empresa Brasileira de Pesquisa Agropecuária, Embrapa Meio-Norte, Teresina, PI, Brazil.

DOI:

https://doi.org/10.48162/rev.39.060

Palabras clave:

Glycine max L., germoplasma, disimilitud, elección de padres

Resumen

The objective of the present work was to evaluate the influence of the genotype–environment interaction on genetically divergent soybean grown under semiarid conditions. Four experiments were carried out in randomized blocks with four replicates to evaluate twenty-one soybean genotypes. The following descriptors were used to quantify divergence: plant height, dry matter, oil content, number of pods per plant, number of grains per pod, the weight of 100 seeds, yield, days for flowering, and days for maturation. The unweighted pair group method with arithmetic mean was used to group the genotypes from the Mahalanobis distance matrix estimated using the genotypic means estimated by the REML/BLUP method. The grouping of genotypes depended mainly on the effects of the interaction between genotypes and years. The joint analysis, without the effect of the interaction, allowed us to obtain two groups of genotypes. The most recommended crosses were those of the lines BRS Tracajá, BRS Pérola, BRS Carnaúba, M 8644 IPRO, BRS 8590, and BMX OPUS IPRO with the genotype BRS Sambaíba, especially the one between BMX OPUS IPRO and BRS Sambaíba.

Highlights

  • The grouping of genotypes is dependent on the evaluation conditions, mainly due to the effects of the genotype x years interaction.
  • The use of estimates of the free genotypic means of the interaction obtained in the joint analysis may be a more adequate alternative to define the heterotic groups and, consequently, the crossings to be performed.
  • The joint analysis, without the presence of the interaction effect, allows obtaining two groups of genotypes.

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Publicado

04-07-2022

Cómo citar

Tavares de Albuquerque, J. R., Anizio Lins, H., Galdino dos Santos, M., Moreira de Freitas, M. A., Sarmento de Oliveira, F., Evangelista de Souza, A. R., Silveira, L. M., de Sousa Nunes, G. H., Barros Júnior, A. P., & de Melo Jorge Vieira, P. F. (2022). Influence of genotype-environment interaction on soybean (Glycine max L.) genetic divergence under semiarid conditions. Revista De La Facultad De Ciencias Agrarias UNCuyo, 54(1), 1–12. https://doi.org/10.48162/rev.39.060

Número

Sección

Genética y mejoramiento vegetal

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