Genetic parameters and path analysis of traits of upland cotton for the brazilian semi-arid region


  • Damião Ranieri Queiroz Universidade Federal Rural do Pernambuco
  • Francisco José Correa Farias Embrapa Algodão
  • José Jaime Vasconcelos Cavalcanti Universidade Estadual da Paraíba
  • Luiz Paulo de Carvalho Embrapa Algodão
  • Diogo Gonçalves Neder Universidade Estadual da Paraíba
  • Gérsia Gonçalves MELOde Melo Universidade Federal de Goiás
  • Djayran Sobral Costa Universidade Federal Rural do Pernambuco
  • Filipe Cavalcanti Farias Universidade Federal de Goiás
  • Paulo Eduardo Teodoro Universidade Federal de Mato Grosso do Sul



Yield., Gossypium hirsutum L.., Fiber length., Micronaire.


Upland cotton fiber is one of the most used natural fibers in the production of textile materials worldwide. For this reason, the selection of genotypes that meet the industry’s requirements is one of the main goals of cotton breeding programs. This study aimed to estimate the phenotypic and genotypic correlations among fiber traits and identify the direct and indirect effects of these traits on seed cotton yield of upland cotton genotypes in the semi-arid Brazilian Northeast. This study assessed 21 upland cotton genotypes from a complete diallel cross without reciprocals. The design was randomized blocks, with three replications and 21 treatments. The experiment was conducted in the municipality of Patos - PB, in 2015. The statistical analysis consisted of analysis of variance by the F test, phenotypic and genotypic correlation analysis, and path analysis. The studied materials revealed genetic variability for all traits. Path analysis has shown that the traits fiber elongation, fiber strength, and fiber fineness have a direct positive effect on seed cotton yield.


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How to Cite

QUEIROZ, D.R.., FARIAS, F.J.C.., CAVALCANTI, J.J.V.., CARVALHO, L.P. de ., NEDER, D.G., MELODE MELO, G.G.., COSTA, D.S.., FARIAS, F.C.. and TEODORO, P.E., 2019. Genetic parameters and path analysis of traits of upland cotton for the brazilian semi-arid region. Bioscience Journal [online], vol. 35, no. 6, pp. 1855–1861. [Accessed21 July 2024]. DOI 10.14393/BJ-v35n6a2019-42408. Available from:



Agricultural Sciences