1Department of Genetics and Plant Breeding, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar – 736165, West Bengal, India
2School of Agricultural Sciences, JIS University, Kolkata, West Bengal, India
3Regional Research Station (Terai Zone), Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar – 736165, West Bengal, India
4Department of Agricultural Statistics, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar – 736165, West Bengal, India
5Department of Genetics and Plant Breeding, MS Swaminathan School of Agriculture, Centurion University of Technology and Management, Paralakhemundi, Odisha
*E-Mail: supratim.gushkara@gmail.com
Online Published on 06 August, 2024.
In the present experiment, 71 Indian mustard (Brassica juncea) genotypes were evaluated in six environments for two successive years (three environments in each year) to identify the influence of environment over the genotypes and to identify the stable, better-performing genotypes in respect to yield in Terai region of West Bengal. Statistical analysis was carried out to evaluate genotype × environment interaction using two different approaches, namely, additive main effect, and their multiplicative interaction model (AMMI) and genotype plus genotype by environment interaction (GGE) biplot for seed yield of mustard genotypes. AMMI ANOVA showed that genotype and environment accounted for 11.46% and 47.50% of the variation respectively, where GEI captured 36.57% of the variation for seed yield. The AMMI model and GGE biplots showed that genotype RGIN-73 was the highest yielding genotype to a specific environment but DRWR-15-9 was found to be well stable with good yielding in all environments.
AMMI, GGE biplot, GSI, Stability, GE interaction, Brassica juncea
