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- W2386606426 abstract "The principal component analysis was applied to the agronomic traits and phys- iological indexes which had significant or colsely relation with grain weight in the Middle Yangtze River Wheat Zone. Thirteen primitive indexes could be synthesized to 4 new independent indexes: principal component Z1, Photosynthesis assimilation factor; principal component Z2, Grain fill ing rate and yield formation factor; principal component Z3, Grain filling duration and yield formation factor; principal component Z4, grain filling parameters synthesis factor. The results of correlation analysis between the principal component and grain weights showed that. Z2, Z4 had a colsely positive correlation with the grain weights. Regression equation between the grain weight and principal component was built by using Stepwise Regression. Eleven wheat varieties (lines) could be divided into 3 main groups depending on the result of Hierarchical Cluster by principal component values. Principal component values and theirs co-ordination ways caused the difference of grain weight in different varieties(lines)." @default.
- W2386606426 created "2016-06-24" @default.
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- W2386606426 date "2002-01-01" @default.
- W2386606426 modified "2023-09-24" @default.
- W2386606426 title "Principal Component Analysis of Agronomic Traits. Physiological Indexes Related to Wheat Grain Weight" @default.
- W2386606426 hasPublicationYear "2002" @default.
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