Repeatable genotype × location interaction and its exploitation by conventional and GIS-based cultivar recommendation for durum wheat in Algeria

By P. Annicchiarico, F. Bellah, T. Chiari. 2006

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Decentralized-participatory plant breeding: an example of demand driven research (2007, background): “To select between these alternatives will require separate analysis of the two components of GE interactions, namely Genotype · Year (GY) and Genotype · Location (GL), the first of which is largely unpredictable, while the second, if repeatable over time, identifies distinct target environments ( An”
GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. (2012, background): “Therefore, breeders often develop genotypes for a particular environment to take advantage of specific adaptations (Annicchiarico et al., 2006).”
Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations (2008, background): “For a third example, Annicchiarico et al. (2006) found repeatable GL interactions over years for durum wheat ( icum durum Desf.) in Algeria and hence, consistent megaenvironments with substantially predictable interactions.”