GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat
By Y. Kaya, M. Akçura, S. Taner. 2006
302 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/7156b79eff9991b23d0ccb222ebe31eea9c41c52
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Citations in the corpus
- GGE Biplot Analysis for Yield Stability in Multi-environment Trials of Promising Hybrid Rice (Oryza sativa L.) (2015, background): “GE interaction is also one of the most important reasons for the failure or decreased efficiency of breeding efforts to serve small resource poor farmers in different areas (Ceccarelli, 1996; Kaya et al., 2006 and Mitrovic et al., 2012).”
- EVALUATION OF EXPERIMENTAL MAIZE HYBRIDS TESTED IN MULTI- LOCATION TRIALS USING AMMI AND GGE BIPLOT ANALYSES (2012, background): “A genotype is more desirable if it is located closer to the “ideal” genotype (Kaya et al., 2006).”
- Additive Main Effects and Multiplicative Interactions (AMMI) and genotype by environment interaction (GGE) biplot analyses aid selection of high yielding and adapted finger millet varieties (2014, methodology): “The cosine of the angle between two environments was used to calculate the correlation between them (Dehghani et al., 2009; Kaya et al., 2006).”