COMPARISON OF MODIFIED JOINT REGRESSION ANALYSIS, FITCONANALYSIS, EM-AMMI AND PROPOSED MPROVED-IMAMMI UNDER INCOMPLETE GENOTYPE AND ENVIRONMENT INTERACTION DATAOF SUGARCANE

摘要

This paper deals with the estimation of missing observations in incomplete genotype x environment data with the existing methods like FITCON, EM-AMMI, Digby's modified regression technique as well as the unproved technique of AMMI (IMAMMI). The efficiency of these procedures are compared empirically using sugarcane data. We can infer from the findings that, when Genotype * Environment interaction is present, the proposed procedure is giving better estimates of missing observations. Since, AMMI and IMAMMI are taking care of non-linear interactions as well these are providing themselves superior, even to Digby. We can safely conclude that proposed IMAMMI is better than EM-AMMI, DIGBY and FITCON for studying Genotype * Environment interaction in sugarcane when some observations are missing.