1Deptt. of Crop Improvement, CSKHPKV, Palampur
2Mega Seed Project, Chatha, SKUAST, Jammu
Advanced Centre for Rainfed Agriculture, Rakhdhiansar, Shere Kashmir University of Agriculture Sciences & Technology, Jammu
*Corresponding author's e-mail: ssalgotra@gmail.com
Online published on 28 October, 2020.
In the present study, AMMI approaches were used to analyse the genotype x environment interactions and stability under targeted environments. The analysis of stability parameters of seed yield/plant in 25 genotypes of urdbean (Vigna mungo L,) indicated that six genotypes namely, Mash 479, PLU 499-52, PU19, PLU-4158, Pant 31 and IPU2-43 showed regression coefficient greater than unity (b-1) with nonsignificant S2di values and higher mean values than population mean which exhibited their stability and adaptation to specific favorable environment only. Three genotypes, PU99, No. 13/11 and No.40 indicated that regression coefficient less than unity with higher mean values than population mean with non-significant deviation from the regression coefficient (S2di) and recommended for unfavorable environments. Mash 338 and IPU 96-1 are the most stable genotypes across the environments for seed yield/plant and 1000 seed weight, respectively. Environmental indices indicated that environment (E1) and environment (E2) were the most favorable for number of primary branches/plants, days to 50% flowering, plant height and seed yield/plant, whereas environment (E3) was favorable for pod length and number of seeds/pod. AMMI 1 model exhibited that E1 and E2 were the clustered in the same group and exhibited similar type of interaction for seed yield/plant. Genotypes, PLU4158, IPU96-1, Mash479, PLU499-52 and IPU2-43 exhibited high IPCA 1 scores along with high population mean. Based on AMMI 2 model, PLU4158, IPU96-1 and IPU96-6 exhibited high IPCA scores. The selected genotypes may be utilized in Vigna mungo improvement programme in targeted location with true type of breeding lines.
AMMI, GEI, Principle components, Stability, Vigna mungo, Yield contributing traits