Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario.

By Weikai Yan, Istvan Rajcan. Crop science, 2002

1,110 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5933f9d0058f7bef9375de04966b49e0d81ce298

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Citations in the corpus

Biplot analysis of multi-environment trial data. (2020, methodology): “It has been successfully used in analysing genotype–trait data (Yan and Rajcan, 2002), diallel-cross data (Yan and Hunt, 2002), host genotype–pathogen race data (W. Yan, unpublished), etc.”
Genotype by environment interaction components underlying variations in root, sugar and white sugar yield in sugar beet (Beta vulgaris L.) (2018, methodology): “In another study with soybean, a genotype-by-trait biplot explained 52–63% of total variation of the data in the GGE biplot analysis (Yan and Rajcan 2002).”
Biplot analysis of trait relations of white lupin in Spain (2004, methodology): “Provided that the biplot explained a sufficient amount of the total variation, the correlation coefficient between any two traits is approximated by the cosine of the angle between their vectors (Yan & Rajcan, 2002).”
Statistical Analysis of Yield Trials by AMMI and GGE (2006, background): “Consequently, the yielding ability and stability of the genotypes, and the discriminating ability and the representativeness of the test environments cannot be readily visualized,” and the recommended criterion for a “nearperfect correlation” is a correlation of “say, r . 0.95” (Yan et al., 2001; li”
Assessment of yield, yield-related traits and drought tolerance of durum wheat genotypes (Triticum turjidum var. durum Desf.). (2011, positive): “Thus, r = cos 180° = -1, cos 0° = 1, and cos 90° = 0 (Yan and Rajcan, 2002).”
Genotype × Environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia* (2017, background): “It also shows the presence or absence of crossover G × E interaction which explains the possibility of the existence of different mega-environments (Yan & Rajcan 2002).”
Assessment of Drought Tolerance in Segregating Populations in Durum Wheat (2006, positive): “Thus, r = cos 180 ̊= -1, cos 0 ̊=1, and cos 90 ̊=0 (Yan and Rajcan, 2002).”
GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. (2012, background): “…for the analysis of GE interactions (Butron et al., 2004; Fan et al., 2007; Laffont et al., 2007; Yan and Kang, 2003; Samonte et al., 2005) and had been exploited in the variety evaluation of wheat (Yan and Hunt 2001; Yan et al., 2000), Maize (Fan et al., 2007) and soybean (Yan and Rajcan, 2002).”
GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat (2006, background): “Thus, using the ideal environment as the center, concentric circles were drawn to help visualize the distance between each environment and the ideal environment (Yan et al., 2000; Yan and Rajcan, 2002).”
Prediction of Cultivar Performance Based on Single‐ versus Multiple‐Year Tests in Soybean (2003, background): “…exploited by dividing the target area into mega- power for selection of superior cultivars and for culling environments; it must be avoided through testing in of inferior cultivars (Table 5). multiple environments representative of the target environment (Yan and Hunt, 1998; Yan and Rajcan, 2002).”