Background and Aims: The development of an efficient clonal selection process requires
25 the study of genotype-by-environment (G×E) interaction. This work aims to evaluate the
26 variability of the G×E interaction among genotypes and to identify the less sensitive ones.
27 Methods and Results: The approach involves the fitting of mixed models to yield data taking
28 into account the correlation induced by the repeated measurements of the same plot over the
29 years. A measure for comparative evaluation of the G×E interaction among genotypes is
30 proposed (Interaction Sensitivity, IS), based on the variance of the values of the empirical best
31 linear unbiased predictors of G×E interaction effects across environments. In all cases studied
32 significant G×E interaction variability was found, and the proposed measure to rank the
33 sensitivity to G×E interaction varied widely among genotypes.
34 Conclusions: The existence of a common contribution shared by all observations made in the
35 same plot was detected, independently of the lag between years. The proposed measure to
36 rank the sensitivity to G×E interaction permitted identification of stable genotypes.
37 Significance of the Study: This work studied G×E interaction problem in the context of
38 grapevine and proposes a measure for the comparative evaluation of the G×E interaction
39 among genotypesinfo:eu-repo/semantics/acceptedVersio
