Multivariate explanation of the establishment of soybean initial growth pattern via biostimulant seed treatment

  • Luiz Leonardo Ferreira Universidade em Mineiros
  • Juliano Macedo Resende Universidade em Mineiros
  • Ivan Ricardo Carvalho Universidade Regional do Noroeste do Estado do Rio Grande do Sul
  • Ariana Bertola Carnevale Universidade em Mineiros
  • Marilaine Sá Fernandes Universidade em Mineiros
  • Núbia Souza Carrijo dos Santos Universidade em Mineiros
  • Priscila Ferreira Batista Instituto Federal Goiano
  • Alexandre Igor Azevedo Pereira Instituto Federal de Educação, Ciência e Tecnologia Goiano
  • Carmen Rosa Silva Curvêlo Instituto Federal de Educação, Ciência e Tecnologia Goiano
  • Uirá Amaral Instituto Federal de Brasília - Planaltina
  • Rodrigo Vieira Silva Instituto Federal Goiano - Campus Morrinhos
  • Murilo Vieira Loro Universidade Federal de Santa Maria
Keywords: correlations, Glycine Max, canonical variables, genetic dissimilarity, UPGMA, Artificial Neural Networks

Abstract

Given the search for answers that improve soybean plant development, this study aimed to analyze the multivariate explanation about the establishment of the initial soybean growth pattern through seed treatment. The study was conducted at Luiz Eduardo de Oliveira Sales Experimental Farm, in the municipality of Mineiros-GO. The soil of the experimental area was classified as NEOSSOLO Quartzarenico. The experimental design was randomized blocks in factorial 10x5 corresponding to 10 soybean genotypes (Flecha, Bonus, TEC7548, M7739, 36B31, W791, M7198, M6210, Power and 48B32) and 5 seed treatments (Water, Sprint-Alga, Booster, Acorda and Stimulate), in 4 repetitions. The obtained data was submitted to the assumptions of the statistical model, verifying the normality and homogeneity of the residual variances, as well as the additivity of the model. Afterwards, the analysis of variance was performed in order to identify the interaction between soybean genotypes x seed treatment, applying uni and multivariate tests. The summary analysis of variance revealed significant interaction between cultivar x seed treatment. The seed treatment influenced the morphological components of soybean seedlings, showing their correlation with the fresh aerial and root mass, as well as different patterns that were observed according to the genetic variation.

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Published
2022-04-12
How to Cite
Ferreira, L. L., Resende, J. M., Carvalho, I. R., Carnevale, A. B., Fernandes, M. S., Carrijo dos Santos, N. S., Batista, P. F., Azevedo Pereira, A. I., Silva Curvêlo, C. R., Amaral, U., Silva, R. V., & Loro, M. V. (2022). Multivariate explanation of the establishment of soybean initial growth pattern via biostimulant seed treatment. Agronomy Science and Biotechnology, 8, 1-11. https://doi.org/10.33158/ASB.r161.v8.2022

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