African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12404

Article in Press

Evaluation of the Grain Yield Performance of 5 Soybean Genotypes in Mozambique Using the Gge Biplot Method

Constantino Rico Raimundo Artur, Leonel Domingos Moiana, Manuel Pedro Maleia, Giseli Valentini, Arminda Davane Sumbuleiro, Marcos Armando Marcos

  •  Received: 01 December 2021
  •  Accepted: 21 April 2022
Soybean is a peculiar crop due to its photoperiod sensitivity. The introduction of this crop to a new production region requires a detailed study of its adaptability to select the best genotypes with high production stability for the region. In Mozambique, the demand for soybean grain has been growing. However, national production is low due to little knowledge of the performance of genotypes. The objective of this study was to evaluate the grain yield of 5 soybean genotypes and evaluate genotype-by-environment (GxE) interactions by the GGE biplot method. The trials were performed at the stations of Namapa (District of Eráti, province of Nampula), Ribáuè (District of Ribáuè, province of Nampula), and Montepuez (District of Montepuez, province of Cabo Delgado) in 3 seasons from 2017 to 2020. A randomized complete block design was adopted with 4 replications and 5 treatments: Wima, Wámini, 10E, Safari, and Zamboane cultivars. The results of the joint analysis of variance (p<0.05) showed a complex GxE. According to the GGE biplot method, the 10E genotype was the ideotype. Wámini was the worst genotype. The PC1 was 89.64 and the PC2 was 8.26 so the GGE biplot methodology proved to be efficient since the sum of the first two principal components (PCs) was 98.26%.

Keywords: Soybean; Adaptability; Stability; GGE biplot methodology.