SELECTION FOR YIELD IMPROVEMENT USING OF MULTIVARIATE STATISTICAL METHODS IN RICE

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SABOURI H.; MOHAMMADI NEJAD GH.; FAZLALIPOUR M.

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Journal: Iranian Journal of Field Crops Research Year:2012 | Volume:10 | Issue:1 Page(s): 150-162

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Information Journal Paper

Title

SELECTION FOR YIELD IMPROVEMENT USING OF MULTIVARIATE STATISTICAL METHODS IN RICE

Author(s)

SABOURI H. | MOHAMMADI NEJAD GH. | FAZLALIPOUR M. | Issue Writer Certificate

Keywords

PATH ANALYSISQ2

FORWARD REGRESSIONQ3

HERITABILITYQ2

SELECTION INDICESQ3

Abstract

In order to providing SELECTION INDICES using HERITABILITY and correlation effective traits on 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 High Education Center fields. Days to repining (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. Phenotypic and genotypic correlations, genetic and phenotypic direct effect in PATH ANALYSIS, HERITABILITY were used for construct selection vectors. According to this study, increasing of traits is not result of relative efficiency and compares parameter. SELECTION INDICES were showed that yield, significant genetic correlation with yield and high HERITABILITY are three important part of selection index. Fifth, Sixth and fourteenth are the most important between discussed indices.

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References

MULTI-TRAIT SELECTION FOR SCREENING ELITE GENOTYPES OF AN F2 RICE POPULATION

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APA: Copy

SABOURI, H., MOHAMMADI NEJAD, GH., & FAZLALIPOUR, M.. (2012). SELECTION FOR YIELD IMPROVEMENT USING OF MULTIVARIATE STATISTICAL METHODS IN RICE. IRANIAN JOURNAL OF FIELD CROPS RESEARCH, 10(1), 150-162. SID. https://sid.ir/paper/119010/en

Vancouver: Copy

SABOURI H., MOHAMMADI NEJAD GH., FAZLALIPOUR M.. SELECTION FOR YIELD IMPROVEMENT USING OF MULTIVARIATE STATISTICAL METHODS IN RICE. IRANIAN JOURNAL OF FIELD CROPS RESEARCH[Internet]. 2012;10(1):150-162. Available from: https://sid.ir/paper/119010/en

IEEE: Copy

H. SABOURI, GH. MOHAMMADI NEJAD, and M. FAZLALIPOUR, “SELECTION FOR YIELD IMPROVEMENT USING OF MULTIVARIATE STATISTICAL METHODS IN RICE,” IRANIAN JOURNAL OF FIELD CROPS RESEARCH, vol. 10, no. 1, pp. 150–162, 2012, [Online]. Available: https://sid.ir/paper/119010/en

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