Targeting Cultivars onto Rice Growing Environments Using AMMI and SREG GGE Biplot Analyses

By S. O. P. Samonte, L. Wilson, A. McClung, J. Medley. 2005

291 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/04432b2f94394754ffb341a96c8e9de2d6af2ea9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Weikai Yan
2. R. Mohammadi
3. P. Cornelius
4. Y. Kaya
5. S. Taner
6. Baoluo Ma
7. Manjit S. Kang
8. F. Alemayehu

In Plant Science

1. R. Mohammadi
2. P. Cornelius
3. Weikai Yan
4. E. Farshadfar
5. Y. Kaya
6. S. Taner
7. Baoluo Ma
8. Manjit S. Kang

Citations in the corpus

• GGE biplot analysis of genotype × environment interaction in wheat-barley disomic addition lines. (2012, methodology): “…analysis was a useful method 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…”
• Genotype by environment interactions in barley (Hordeum vulgare L.): different responses of landraces, recombinant inbred lines and varieties to Mediterranean environment (2008, background): “Another model that has gained importance in investigating the role of genotype, environment and GEI effects in yield-trial experiments is the genotype main effects and genotype 9 environment interaction (GGE) biplot (Yan et al. 2000, 2001, 2007; Yan and Kang 2002; Yan and Tinker 2005; Samonte et al.”
• Yield Stability of Maize Hybrids Evaluated in Multi‐Environment Trials in Yunnan, China (2007, methodology): “Many stability statistics have been used to determine whether or not cultivars evaluated in METare stable (Lin et al., 1986; Hu¨hn, 1996; Flores et al., 1998; Hussein et al., 2000; Robert, 2002; Sabaghnia et al., 2006 ).”
• GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat (2006, methodology): “ANOVA is an additive model that describes the main effects effectively and determines if GEI is a significant source of variation, but it does not provide insight into the genotypes or environments that give rise to the interaction (Samonte et al., 2005).”
• Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials (2010, background): “This analysis helps determine whether the target cropping region is homogeneous or should be divided into different mega-environments (Yan and Rajcan 2002; Casanoves et al. 2005; Samonte et al. 2005; Dardanelli et al. 2006).”
• GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data (2007, background): “For Figure 3. ple, for a rice dataset, the GGE biplot and the AMMI1 graph explained 77.3 and 64.6% of the total G+GE, respectively (Samonte et al., 2005).”
• Genotype × environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran (2012, unknown): “1) can be used to identify the appropriate check genotype for all environments (general check) or for specific environments (specific check) (Samonte et al. 2005).”
• AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia (2009, methodology): “Such analysis helps in targeting genotypes onto its growing environments (Samonte et al., 2005).”