Journals / Turkish Journal of Agriculture and Forestry / 2006 / Cilt: 30 - Sayı: 5

GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat

Pages
325–337
Publication Date
2006-05-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Genotypic PC1 scores >0 detected the adaptable and/or higher-yielding genotypes, while PC1 scores

📌 3 Key Takeaways

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Objective & Hypothesis:Yield data of 25 bread wheat genotypes tested across 9 rain-fed environments during the 2002-2003 growing season were analyzed using the GGE (i.e.
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Key Findings & Data:E (environment) explained 81% of the total (G + E + GE) variation, whereas G and GEI captured 7.3% and 11.7%, respectively.
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Conclusion & Impact:Genotypic PC1 scores >0 detected the adaptable and/or higher-yielding genotypes, while PC1 scores
🔬Design:Research Article
📍Scope:2002-2003 Verileri
⚙️Variables:Bread wheat (T. aestivum L.) · multi-environment yield trials · GGE-biplot analysis

Abstract

Yield data of 25 bread wheat genotypes tested across 9 rain-fed environments during the 2002-2003 growing season were analyzed using the GGE (i.e. G, genotype + GEI, genotype-by-environment interaction) biplot method. E (environment) explained 81% of the total (G + E + GE) variation, whereas G and GEI captured 7.3% and 11.7%, respectively. The first 2 principal components (PC1 and PC2) were used to create a 2-dimensional GGE-biplot and explained 46.2% and 15.8% of GGE sum of squares (SS), respectively. Genotypic PC1 scores >0 detected the adaptable and/or higher-yielding genotypes, while PC1 scores

Özet

Yield data of 25 bread wheat genotypes tested across 9 rain-fed environments during the 2002-2003 growing season were analyzed using the GGE (i.e. G, genotype + GEI, genotype-by-environment interaction) biplot method. E (environment) explained 81% of the total (G + E + GE) variation, whereas G and GEI captured 7.3% and 11.7%, respectively. The first 2 principal components (PC1 and PC2) were used to create a 2-dimensional GGE-biplot and explained 46.2% and 15.8% of GGE sum of squares (SS), respectively. Genotypic PC1 scores >0 detected the adaptable and/or higher-yielding genotypes, while PC1 scores

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Cite This Article

KAYA, Y., AKÇURA, M., TANER, S. (2006). GGE-Biplot Analysis of Multi-Environment Yield Trials in Bread Wheat. Turkish Journal of Agriculture and Forestry, Cilt: 30 - Sayı: 5, 325–337. https://ajindex.com/articles/179781

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