Stability Analyses using Regression and AMMI Models for Seed Yield in Blackgram

Abstract

Background: Blackgram is an important pulse crop grown in almost all agro ecological zones in India. One of the major limitations of pulse cultivation in India is lack of superior genotypes with better adaptation to local conditions. Hence developing high yielding stable blackgram genotypes becomes a necessity to improve the area and production across the country. With this background, the present study was undertaken to identify stable and superior performing blackgram genotypes over seasons. Methods: The experiment was carried out during kharif 2017, rabi 2017-18, kharif 2018 and rabi 2018-19 at National Pulse Research Centre, Vamban. A total of 21 genotypes were evaluated in randomized block design with two replications in each environment. The data on seed yield was subjected to statistical analysis. The G X E interaction was studied as per Eberhart and Russell model, AMMI model and GGE biplot analyses. Result: In Eberhart and Russell model, the checks VBN 6, VBN 8 and VBN 10 and genotypes VBG 17-019, VBG 17-023 and VBG 17-026 were considered as stable with average response to the environments. In biplot 1 of AMMI analysis, check VBN 8 and genotypes VBG 16-005 and VBG 17-023 were considered as stable with high mean seed yield and less interaction with environment. In biplot 2 of AMMI analysis VBG 16-005 and VBG 007 were less interactive genotypes. GGE biplots indicated that rabi seasons are more informative than kharif seasons to assess the stability of genotypes. This model identified VBG 17-007, VBG 17-024 and VBG 17-030 as ideal genotype with high mean seed yield and stability. It also identified VBG 17-023 as with high mean seed yield and moderate interaction with environment. Based on the results of all models, the genotype VBG 17-023 was considered as stable genotype with high mean seed yield. Hence, the genotype VBG 17-023 can be tested in larger environments to release for general cultivation.