Selection of soybean genotypes for to Cerrado/Pantanal ecotone via REML/BLUP

Authors

  • Francisco Eduardo Torres Universidade Estadual de Mato Grosso do Sul
  • Simone Botelho Benites Universidade Estadual de Mato Grosso do Sul
  • Larissa Pereira Ribeiro Universidade do Estado do Mato Grosso
  • Agenor Martinho Correa Universidade Estadual de Mato Grosso do Sul
  • Carlos Antônio da Silva Junior Universidade do Estado do Mato Grosso
  • Paulo Eduardo Teodoro Universidade Estadual de Mato Grosso do Sul

DOI:

https://doi.org/10.14393/BJ-v34n2a2018-39490

Keywords:

Glycine max, genotypes interaction, sowing times, MHPRVG method.

Abstract

The objective of this work was to select soybean genotypes with high yield, adaptability and stability in different sowing seasons in the Cerrado-Pantanal ecotone region using the MHPRVG method (harmonic mean of the relative performance of genetic values). We evaluated 10 soybean genotypes at two sowing seasons in Aquidauana/MS in the agricultural year 2014/2015. At maturation, the following agronomic traits were evaluated: plant height (PH), first pod height (FPH), number of branches per plant (NB), number of pods per plant (NP), number of grains per pod (NGP), mass of hundred grains (MHG) and yield grain (YIE). Likelihood ratio test detected significant genotype x seasons interaction only for grain yield. The genotypes AS3730, 97R73 and SYN9070 showed high adaptability and can be growing in both sowing seasons in the Cerrado/Pantanal ecotone. The genotypes 97R21 and B4184 have high phenotypic stability and are indicated for growing in later sowing season.

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Published

2018-03-26

How to Cite

TORRES, F.E., BENITES, S.B., RIBEIRO, L.P., CORREA, A.M., SILVA JUNIOR, C.A. da and TEODORO, P.E., 2018. Selection of soybean genotypes for to Cerrado/Pantanal ecotone via REML/BLUP . Bioscience Journal [online], vol. 34, no. 2, pp. 333–340. [Accessed1 December 2022]. DOI 10.14393/BJ-v34n2a2018-39490. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/39490.

Issue

Section

Agricultural Sciences