Biometric approach applied to soybean genotypes cultivated in Rio Grande do Sul, Brazil

Ivan Carvalho; Márcio  Peter; Gustavo Henrique  Demari; Danieli Jacoboski  Hutra; Giordano Gelain  Conte; Christian Szambelam  Zimmermann; José Gonzalez da  Silva; Jaqueline Piesanti  Sangiovo

doi:10.33158/ASB.r118.v7.2021

Ivan Carvalho Universidade Regional do Noroeste do Estado do Rio Grande do Sul
Márcio Peter Universidade Federal de Pelotas
Gustavo Henrique Demari Universidade Federal de Pelotas
Danieli Jacoboski Hutra Universidade Regional do Noroeste do Estado do Rio Grande do Sul
Giordano Gelain Conte Universidade Federal de Pelotas
Christian Szambelam Zimmermann Universidade Regional do Noroeste do Estado do Rio Grande do Sul
José Gonzalez da Silva Universidade Regional do Noroeste do Estado do Rio Grande do Sul
Jaqueline Piesanti Sangiovo Universidade Regional do Noroeste do Estado do Rio Grande do Sul

DOI: https://doi.org/10.33158/ASB.r118.v7.2021

Resumo

The study had the purpose to evidence the agronomic performance, inter-relations of characters and the multivariate differentiation of soybean genotypes cultivated in the preferential season, in the state of Rio Grande do Sul, Brazil. In the crops season of 2017/2018, The experimental design was the completely randomized blocks, being 25 genotypes with three replicates. The data obtained was submitted to presuppositions based on normality and homogeneity of residual variances, variance analysis, Tocher method, Euclidian algorithm, linear correlations, relative contribution of characters by Singh and artificial neural networks. The agronomic performance of the genotypes presents superior seeds yield per plant through the elevated magnitude of reproductive nodes, legumes and seeds per plant. The plant height of the soybean is positively associated with the number of total nodes and reproductive nodes in the main stem and branches, where they are directly linked with the soybean productive potential. The most polymorphic characters correspond to the number and mass of thousand seeds, being possible to differentiate in a multivariate way the soybean genotypes though the similarity profiles.

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