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GGE biplot for studying paste property of chinese spring wheat
| Creador: | Yong Zhang |
| Creador: | He Zhonghu |
| Creador: | Aimin Zhang |
| Año: | 2003 |
| URI: | https://hdl.handle.net/10883/21376 |
| Lenguaje: | Chinese |
| Editor: | Institute of Crop Sciences |
| Copyright: | CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose. |
| Tipo: | Article |
| Lugar de publicación: | Beijing (China) |
| Páginas: | 245-251 |
| Número: | 2 |
| Volumen: | 29 |
| Palabras Claves: | Pasting Property |
| Palabras Claves: | GGE Biplot |
| URI del Editor : | http://zwxb.chinacrops.org/EN/Y2003/V29/I02/245 |
| Descripción: | This paper introduced a GGE biplot as a graphic method for analyzing wheat peak viscosity based on data from regional trials. The average performance at each environment was subtracted from the original pasting properties data first so that the derived data contains only genotype main effect G and genotype by environment interaction GE, which were collectively named GGE. The GGE data was then subjected to singular value decomposition and was approximated by the first two principal components. Plotting the first principal component against the second for all genotypes and environments resulted in a GGE bip lot. In light of the biplot, peak viscosity of starch pasting characteristics for twenty cultivars from ten locations in Chinese spring sown spring wheat regions was analyzed. The results indicated that Tiechunl performed both high and stable for peak viscosity, followed by Jinchun9, while N ingzuo17 performed the poorest. Harbin was the best environment facilitating identification of peak viscosity. |
| Agrovoc: | TRITICUM AESTIVUM |
| Agrovoc: | GENOTYPE ENVIRONMENT INTERACTION |
| Agrovoc: | STATISTICAL METHODS |
| ISSN: | 496-3490 |
| Revista: | Acta Agronomica Sinica |
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Wheat
Wheat - breeding, phytopathology, physiology, quality, biotech