Study on yield and some agronomic traits of promising genotypes and lines of bread wheat through principal component analysis
Paper Details
Study on yield and some agronomic traits of promising genotypes and lines of bread wheat through principal component analysis
Abstract
In order to study 57 promising genotypes and lines of bread wheat based on yield and some agronomic traits, we conducted an experiment in the station of Agriculture Research and Natural Resources in Ardabil in random blocks design with three replication a year in 2013. The results showed that the number of selected components is appropriate and these components could justify the trait changes ideally. The result from principal component analysis showed that generally 4 components with specific values justify over than 64% changes. First component with the special value of 1.6 justifies more than 40% and the second component with special value of 0.98 justifies more than 24% of changes. Since traits of day to flowering and seed yield had the highest positive coefficient in forming the first component, so the selection based on this component had the genotypes of 13, 49, 34 and 33 respectively which had the highest value in first component, these genotypes were late flowering and high yielded. In contrast, in forming the second component, the highest positive coefficient was related to plant height, so based on this component the genotypes including 53, 52, and 2 were high-feet. In general these 4 components measured a particular trait against other traits.
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Mojtaba Ghasemi Fahim (2014), Study on yield and some agronomic traits of promising genotypes and lines of bread wheat through principal component analysis; JBES, V4, N2, February, P443-446
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