Path analysis under multiple-trait BLUP: application in the study of interrelationships among traits related to cotton fiber length

Autores/as

  • Rodrigo Alves INCT Café/Federal University of Viçosa. Department of Statistics. University Campus. 36570-000. Viçosa, MG. Brazil.
  • João Rocha Federal University of Viçosa. Department of General Biology. University Campus. 36570-000. Viçosa. MG. Brazil.
  • Larissa Teodoro Federal University of Mato Grosso do Sul. Department of Plant Science. University Campus. 79560-000. Chapadão do Sul. MS. Brazil.
  • Luiz Carvalho National Cotton Research Center. Embrapa Cotton. 58428-095. Campina Grande. PB. Brazil.
  • Francisco Farias National Cotton Research Center. Embrapa Cotton. 58428-095. Campina Grande. PB. Brazil.
  • Marcos Resende INCT Café/Federal University of Viçosa. Department of Statistics. University Campus. 36570-000. Viçosa, MG. Brazil.
  • Leonardo Bhering Federal University of Viçosa. Department of General Biology. University Campus. 36570-000. Viçosa. MG. Brazil.
  • Paulo Teodoro Federal University of Mato Grosso do Sul. Department of Plant Science. University Campus. 79560-000. Chapadão do Sul. MS. Brazil.

DOI:

https://doi.org/10.48162/rev.39.001

Palabras clave:

Mixed model, genotype x environment, genetic correlation, genetic selection, Gossypium hirsutum

Resumen

graphical35.jpg

Multi-trait best linear unbiased prediction (BLUP) is, generally, the most appropriate method to genetic evaluation because it considers the genetic and residual correlations among traits and conduct to higher selection accuracy. Thus, the present study aimed to identify traits correlated to the fiber length via path analysis under multi-trait BLUP for the cotton breeding. To this end, thirty-six elite lines were evaluated in three environments and phenotyped for many traits related to fiber quality and agronomic traits. Variance components were estimated via residual maximum likelihood (REML). The genetic correlation coefficients among traits were obtained through mixed model output, and to graphically express these results a correlation network was built. Subsequently, we performed path analysis considering fiber length as a principal dependent variable. Genetic parameters obtained by multi-trait BLUP model indicate that the phenotypic variance for most traits is mostly composed of residual effects, which reinforces the need for using more accurate statistical methods such as multi-trait BLUP. The results found for genetic correlations and path analysis under multi-trait BLUP reveal the difficulty of selection based on important fiber quality traits, especially fiber length, since most traits show very low cause-and-effect relationship, and other important traits present undesirable cause-and-effect relationship.

Highlights

  • Multiple-trait BLUP is the most appropriate method to predict genetic values.
  • This is the first study in cotton to perform path analysis under multiple-trait BLUP.
  • The findings of this study indicate that there is no genotype presenting all desirable traits.

Descargas

Publicado

07-07-2021

Cómo citar

Alves, R., Rocha, J., Teodoro, L., Carvalho, L., Farias, F., Resende, M., Bhering, L., & Teodoro, P. (2021). Path analysis under multiple-trait BLUP: application in the study of interrelationships among traits related to cotton fiber length. Revista De La Facultad De Ciencias Agrarias UNCuyo, 53(1), 1–10. https://doi.org/10.48162/rev.39.001

Número

Sección

Genética y mejoramiento vegetal

Artículos similares

También puede {advancedSearchLink} para este artículo.