Agricultural Science Digest - A Research Journal
SCOPUS
  • Year: 2020
  • Volume: 40
  • Issue: 2

Stability and adaptability of soybean [Glycine max (L.) merrill] genotypes for yield, protein and oil content using ammi analysis in Kenya

  • Author:
  • James N. Njoroge, Maurice E. Oyoo1
  • Total Page Count: 7
  • Page Number: 122 to 128

1Department of Crops Horticulture and Soils, Egerton University, P. O. Box 536–20115, Egerton, Kenya

Kenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre Njoro, P.O. Private Bag-20107, Njoro

*Corresponding Author: James N. Njoroge, Kenya Agricultural and Livestock Research Organization (KALRO), Food Crops Research Centre Njoro, P.O. Private Bag-20107, Njoro, Email: jamnjoros@gmail.com

Online published on 20 July, 2020.

Abstract

Stability analysis helps to identify superior genotypes suited to specific agro-ecological zones. The objective of the study was to determine stability and adaptability of fifteen soybean genotypes for seed yield, protein and oil contents by additive main effects and multiplicative interaction (AMMI) analysis. The research was conducted at Eldoret, Lanet, Nakuru West and Njoro. AMMI analysis identified genotypes DPSB 8 and SBH 7/1/1 as most stable for seed yield with means above the trial mean of 1267 kg ha−1. Genotypes SBH 4/4/4, SBH 7/1/1, SBH 1/12/19 and Gazelle were stable for seed yield and oil content. Genotype DPSB 19 had high and stable protein content (402.8 g kg−1) with low seed yield. Genotypes SBH 4/4/4 and EAI 3600 were stable for pods plant-1 and 100-seed weight. Either GGE or AMMI analysis maybe employed to identify stable soybean genotypes for production across environments and adaptable genotypes for specific environments.

Keywords

AMMI, GGE, Protein, Soybean, Stability, Yield