Identification of fodder cowpea genotypes by leveraging GGE Biplot under multi-environment

Cowpea has the immense potential to be used as an important fodder crop under future climate scenarios due to its adaptability. Hence, it necessary to study on different fodder cowpea genotypes x environment interaction. In this context, an experiment was carried out with thirty fodder cowpea genotypes (G) containing check Bundel Lobia-1 at Pusa farm of Dr. RPCAU, Pusa, Samastipur, Bihar during kharif season of 2019 and 2020. Randomized Block Design was used with three replications and spacing 45 x 10 cm. The environment combinations were E1 [Date of sowing (DOS) 15th July 2019 in irrigated open field condition], E2 (DOS- 26th July 2019 in irrigated open field condition), E3 (DOS- 15th July 2019 in rain out shelter for drought condition), E4 (DOS- 15th July 2020 in irrigated open field condition), E5 (DOS- 26th July 2020 in irrigated open field condition) and E6 (DOS- 15th July 2020 in rain out shelter for drought condition). Ideal genotypes on the basis of GGE biplot “genotype view” was genotype G3 for highest production efficiency (gm/m2/day) and G29 for highest green fodder yield (gm/plant). “What – Won – Where” GGE biplot results showed existence of two mega environment, where genotype G3 was winner in both E3 and E6 environment for production efficiency; whereas for green fodder yield also two mega environments were existed where G3 was winner in E6 and G29 in E4. The environment E5 was found as best for identifying cowpea genotype adapted for the region for production efficiency and E4 was best for green fodder yield. Cowpea has the immense potential to be used as an important fodder crop under future climate scenarios due to its adaptability. Hence, it necessary to study on different fodder cowpea genotypes x environment interaction. In this context, an experiment was carried out with thirty fodder cowpea genotypes (G) containing check Bundel Lobia-1 at Pusa farm of Dr. RPCAU, Pusa, Samastipur, Bihar during kharif season of 2019 and 2020. Randomized Block Design was used with three replications and spacing 45 x 10 cm. The environment combinations were E1 [Date of sowing (DOS) 15th July 2019 in irrigated open field condition], E2 (DOS- 26th July 2019 in irrigated open field condition), E3 (DOS- 15th July 2019 in rain out shelter for drought condition), E4 (DOS- 15th July 2020 in irrigated open field condition), E5 (DOS- 26th July 2020 in irrigated open field condition) and E6 (DOS- 15th July 2020 in rain out shelter for drought condition). Ideal genotypes on the basis of GGE biplot “genotype view” was genotype G3 for highest production efficiency (gm/m2/day) and G29 for highest green fodder yield (gm/plant). “What – Won – Where” GGE biplot results showed existence of two mega environment, where genotype G3 was winner in both E3 and E6 environment for production efficiency; whereas for green fodder yield also two mega environments were existed where G3 was winner in E6 and G29 in E4. The environment E5 was found as best for identifying cowpea genotype adapted for the region for production efficiency and E4 was best for green fodder yield.