The larger the IPCA score, either negative or positive, the more specifically adapted a genotype is to certain environments.
Percentage variance contribution of first and second interaction principal component axes (IPCA) to genotype by environment interaction: Interactive principal component axis 1 (IPCA1) was significant (P<0.05) for all the traits while IPCA2 was only significant for dry mass content, harvest index and starch content at 9 MAP.
Previous reports reveal that the most accurate model for AMMI can be predicted by using the first two IPCAs (Gauch and Zobel 1996; Yan et al.
Therefore the post-dictive evaluation using F-test at P = 0.01 suggested that these two IPCAs of the interaction were significant for the model with 34 degrees of freedom.
Mean yield response (t/ha) environmental index and estimates of first two IPCA scores in respect of four
Mean yield response (t/ha) of 17 rice genotypes across four environments estimates of IPCA scores
The estimate of the stability index Di' incorporates the IPCA scores of the significant IPCs depending upon their contributions towards the interaction SS (Zhang et al.
The estimates of yield response environmental index and first two IPCA scores in respect of four environments presented in (Table 3) revealed highest yield response of E-3 (4.671 t/ha) followed by E-2(4.176 t/ha) E-1 (4.104 t/ha) and E-4 (3.876 t/ha).
The larger the IPCA score either negative or positive the more specifically adapted a genotype is to certain environments.
