LG biplot: a graphical method for mega-environment investigation using existing crop variety trial data
نویسندگان
چکیده
منابع مشابه
Biplot analysis of multi-environment trial data: Principles and applications
Yan, W. et Tinker, N. A. 2006. Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86: 623–645. Biplot analysis has evolved into an important statistical tool in plant breeding and agricultural research. Here we review the basic principles of biplot analysis and recent developments in its application in analyzing multi-environment trail (MET) data, w...
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The AMMI and SREG GGE are among the models that effectively capture the additive and multiplicative components of genotype × environment interaction (GEI) and provide meaningful interpretation of multi-environment trials’ data set in the breeding programs. The objective of this study was to assess the effect of GEI on grain yield of barely advanced lines and exploit the positive GEI effect us...
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Extended Abstract Introduction and Objective: The sunflower is one of the most important oilseed plants in the world and its oil has nutritional and high economic value. Identification and selection of high-yielding genotypes with desirable characteristics are especially important in this plant. Evaluating sunflower genotypes under different environmental conditions would be useful to identify...
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Test environments and classification of regional ecological zones into mega environments are the two key components in regional testing of sugarcane cultivars. This study aims to provide the theoretical basis for test environment evaluation and ecological zone division for sugarcane cultivars. In the present study, sugarcane yield data from a three-year nationwide field trial involving 21 culti...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2019
ISSN: 2045-2322
DOI: 10.1038/s41598-019-43683-9