Use of biplot analysis and factorial regression for the investigation of superior genotypes in multi-environment trials
By J. Voltas, H. López-Córcoles, G. Borràs. 2005
105 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/310b0ba43b2fb1976db00513a7e6a8310b0f38d4
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In Genetics
In Plant Science
Citations in the corpus
- Drought tolerance improvement in crop plants: An integrated view from breeding to genomics (2008, background): “The difficulty in identifying a physiological parameter as a reliable indicator of yield in dry conditions has suggested that yield performance over a range of environments should be used as the main indicator for drought tolerance (Voltas et al., 2005).”
- Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs (2017, background): “Screening of donor lines for grain yield under drought, performance of such lines under both stress and non-stress conditions [76–79], and use of robust statistical methods to clearly differentiate drought-tolerant and drought-susceptible lines [80–83] could be considered an appropriate methodology ”
- Closing the gap between actual and potential yield of rainfed wheat. The impacts of environment, management and cultivar (2010, background): “Traditional G E interaction studies have been used by plant breeders to estimate the requirement for widespread testing of new breeding lines over time and space (Goodchild and Boyd, 1975; Fox et al., 1985; Basford and Cooper, 1998; Voltas et al., 2005; Roozeboom et al., 2008).”
- GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data (2007, background): “…et al., 2005; Samonte et al., 2005; Yan and Tinker, 2005b; Dardanellia et al., 2006), genotype evaluation (Bhan et al., 2005; Malvar et al., 2005; Voltas et al., 2005; Kang et al., 2006), test-environment evaluation (Yan and Rajcan, 2002; Blanche and Myers, 2006; Thomason and Phillips, 2006),…”