AMMI model to analyse GxE for dual purpose barley in multi-environment trials

Published Date
March 09, 2016
Type
Journal Article
AMMI model to analyse GxE for dual purpose barley in multi-environment trials
Authors:
Ramesh Pal Singh Verma
A.S. Kharab, Jogendra Singh, Kumar Vishnu, Indu Sharma, Ajay Verma

The highly significant effects of environments, genotypes and interactions were observed for forage and grain yield. The environmental effects explained the major portion of the total variance as of 82.3% and 58.8% respectively. Indicated that the environments were diverse and a major part of variation in yield resulted from environmental changes. The highly significant interaction effects partitioned into IPCA1, IPCA2 and IPCA3, IPCA4; which explained 30.4, 19.4, 14.8 & 13.2% for forage and 37.0, 17.2, 16.1 and 12.5% for harvested grain yield. AMMI stability value(ASV) identified promising genotypes G12(UPB 1035), G6(UPB 1034), G7(BH 971) and G13(RD 2857), G7 (BH 971) & G11(NDB 1570) for forage and grain respectively. AMMI distance (D) marked G3(RD 2035) G9(BH 970) & G13(RD 2857) for former while genotypes G15(RD 2856) G11(NDB 1570) & G7(BH 971) for grain yield. GSI score advocated G13(RD 2857), G11(NDB 1570) G3(RD 2035),G5(RD 2715 ) and G7(BH 971), G2(RD 2552) G14(AZAD) desirable genotypes for selection with forage and grain yield. Genotypes with IPCA-1 scores close to zero identified G4(UPB 1036), G7(BH 971), G16(NDB 1566) and G11(NDB 1570), G2(RD 2552) for forage and yield respectively would have wider adaptation to the tested environments as per AMMI graphical plots.

Citation:
Ramesh Verma, A. S. Kharab, Jogendra Singh, Kumar Vishnu, Indu Sharma, Ajay Verma. (9/3/2016). AMMI model to analyse GxE for dual purpose barley in multi-environment trials. Agricultural Science Digest, 36(1), pp. 9-16.