Multivariate approach applied to phenotypic traits as a function of the selection of soybean cultivars

  • Eduardo Ely Foleto Universidade Regional do Noroeste do Rio Grande do Sul
  • Ivan Ricardo Carvalho Universidade Regional do Noroeste do Rio Grande do Sul
  • Alexandre Kaue Foguesatto Ottonelli Universidade Regional do Noroeste do Rio Grande do Sul
  • José Antonio Gonzalez Silva Universidade Regional do Noroeste do Rio Grande do Sul
  • Gerusa Massuquini Conceição Universidade Regional do Noroeste do Rio Grande do Sul
  • Willyan Júnior Adorian Bandeira Universidade Regional do Noroeste do Rio Grande do Sul
  • Gabriel Mathais Weimer Bruinsma Universidade Regional do Noroeste do Rio Grande do Sul
  • Jaqueline Piasanti Sangiovo Universidade Regional do Noroeste do Rio Grande do Sul
DOI: https://doi.org/10.33158/ASB.r205.v10.2024
Keywords: Glycine max, compound of yield, vegetable protein, biofuel production, similarity indices, quantitative trait

Abstract

The objective of this work was to identify superior soybean cultivars through a multivariate approach applied to phenotypic traits. This study was developed in the 2023/2024 agricultural harvest, in the experimental area of ​​the Regional Institute for Rural Development, at UNIJUÍ. It is located in the municipality of Augusto Pestana, in the state of Rio Grande do Sul, Brazil. The experimental design used was randomized blocks with internal blocks, with the treatment being ten cultivars and five replications. The trial of ten cultivars in the northwest of the state of Rio Grande do Sul demonstrated that the soybean cultivar with the highest yield was NS5922IPRO, with 5235.3 kg ha-1. The multivariate approaches formed two groups to explain the factors that influenced yield, where the first was discrepant for the variables Euschistus heros, phytotoxicity, Fusarium solanie, Macrophomina phaseolina, Conyza bonariensis, production zone area, number of total nodes in the branch, branch number, root length, number of vegetables with 4 grains, number of vegetables with 0 grains and vegetable grain weight of 2 grains. The second similar group for the variables Diabrotica speciosa, Caliothrips brasiliensis, Euschisthus heros, Phakopsora pachyrhizi and Cercospora sojina, area of ​​production zone, number of vegetables with zero grains. The trial of ten cultivars in the northwest of the state of Rio Grande do Sul demonstrated that the soybean cultivar with the highest yield was NS5922IPRO, with 5235.3 kg ha-1. The multivariate approaches formed two groups to explain the factors that influenced grain yield.

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Author Biographies

Eduardo Ely Foleto, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Ivan Ricardo Carvalho, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Alexandre Kaue Foguesatto Ottonelli, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

José Antonio Gonzalez Silva, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Gerusa Massuquini Conceição, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Willyan Júnior Adorian Bandeira, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Gabriel Mathais Weimer Bruinsma, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

Jaqueline Piasanti Sangiovo, Universidade Regional do Noroeste do Rio Grande do Sul

Departamento de Estudos Agrários

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Published
2024-10-07
How to Cite
Foleto, E. E., Carvalho, I. R., Ottonelli, A. K. F., Silva, J. A. G., Conceição, G. M., Bandeira, W. J. A., Bruinsma, G. M. W., & Sangiovo, J. P. (2024). Multivariate approach applied to phenotypic traits as a function of the selection of soybean cultivars. Agronomy Science and Biotechnology, 10, 1-16. https://doi.org/10.33158/ASB.r205.v10.2024
Issue
Vol. 10 (2024): Publication continues
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Article

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