tailieunhanh - AMMI model to estimate GxE for grain yield of dual purpose barley genotypes

Combined analysis of variance, for 16 dual purpose barley genotypes evaluated across 08 environments of the country, showed significant differences for genotypes, environments and their interactions. Most of type 1 measures (EV1, AMGE1, SIPC1 and D1) favored G5, G6, G8 and G10 genotypes while type 2 identified (EV2, AMGE2, SIPC2, D1 and ASV) G11, G14, G10 and G9 as promising genotypes whereas type 3 selected (EV3, AMGE3, SIPC3 and D3) G13, G14, G7 and G8 genotypes and most of the signal accounted by type 5 measures pointed towards (MASV, EV5, AMGE5, SIPC5 and D5) G13, G14, G8 and G16 as desirable genotypes. Hierarchical clustering of AMMI based measures along with yield could be divided into five distinct groups. Group I contains EV3, EV2, EV5, MASV, IPCA4 and AMGE3. Group II contains AMGE5, IPCA6, IPCA1 and average yield. Group III consists of SIPC3, SIPC5, SIPC2, IPCA2, IPCA3 and IPCA5. Group IV combined ASTAB1, ASTAB3, ASTAB5, ASTAB2 with D2, D3 and D5. Smallest cluster grouped ASV with EV1. Genotypes G6 and G10 were of stable performance with average yield while G13 and G5 of moderate yield. | AMMI model to estimate GxE for grain yield of dual purpose barley genotypes