Selection for Yield Improvement Using of Multivariate Statistical Methods
Author(s):
Abstract:
In order to providing selection indices using of heritability and correlation of effective traits on grain yield and multiple regression an experiment was conducted by 265 F3 families as well as parents and F1 related to Gharib × Khazar population in 2009 at Gonbad Kavous University fields. Days to ripening (0.97) and panicle number and flag leaf length (0.66) had maximum and minimum heritability, respectively. Positive and significant correlations were detected between plant yield and flag leaf width (0.265**), plant height (0.193**), panicle number (0.734**) and biomass (0.828**). Biomass, days to heading and plant height were explained about 98% of total variation of yield and inserted to model respectively. Different combination of phenotypic and genotypic correlations, genetic and phenotypic direct effect in path analysis and heritability with and without yield were used for construct selection vectors. According to this study, increasing of traits is not result of relative efficiency and other comparing parameters. Selection indices were showed that yield, significant genetic correlation with yield and high heritability are three important part of selection index.
Language:
Persian
Published:
Iranian Journal of Field Crops Research, Volume:9 Issue: 4, 2012
Page:
639
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