1Marathwada Agricultural University, Parbhani-431 402, Maharashtra
2Mahatma Phule Krishi Vidyapeeth, Rahuri-413722, Distt. Ahmednagar-413722, Maharashtra
3Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola-444104, Maharashtra
4Main Sorghum Research Station, Univ. of Agricultural Sciences, Dharwad-580005, Karnataka
5Navsari Agricultural University, Athwa Farm, Surat-395007, Gujarat
6Agricultural Research Station, University of agricultural Sciences, Bijapur-586 101, Karnataka
Directorate of Sorghum Research, Rajendranagar, Hyderabad-500 030, Telangana
*Corresponding author's e-mail: rakshit@sorghum.res.in
Online published on 10 March, 2015.
Nature and complexity of genotype × environment interaction (GEI) was studied among eight rabi grain sorghum cultivars across 11 locations during rabi 2011–12 and 2012–13 using GGE biplot analysis. Location (L) contributed for 89.9% of variation for grain yield, while genotypes (G) and G × L interactions accounted for 1% and 9% of variation only. The first two principal components (PCs) of GGE biplot accounted for 50% of variation in data for grain yield, which not ideally explained overall variation in the data. However, the biplot clearly demonstrated that across environments, SPH 1721 was the highest yielding stable genotype followed by CSH 15R. High crossover GEI was recorded among the testing locations and close correlation among these locations was not detected. ‘Which-won-where’ analysis detected three mega-environments (ME) among the testing locations, with ME1 represented by 5 locations, ME2 with 4 locations and ME3 with 2 locations. The study indicated the possibility to reduce the number of testing locations.
GGE biplot, GxE interaction, sorghum, mega-environment
