Selection for Yield Improvement Using of Multivariate Statistical Methods

Document Type : Research Article

Authors

• H Sabouri
• Gh Mohammadinejad
• M Fazlalipour

10.22067/gsc.v9i4.13259

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.

Keywords

• Path analysis
• Selection indices
• Forward regression
• Heritability

20.1001.1.20081472.1390.9.4.7.5

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