A STUDY OF GENETIC DIVERSITY AMONG DIFFERENT RICE (ORIZA SATIVA L.) GENOTYPES USING MULTIVARIATE METHODS

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HOSSEINZADEH FASHALAMI N.; KAZEMITABAR S.K.; BABAEIAN JELODAR N.A.; ZAMANI P.; ALLAHGHOLIPOUR M.

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Journal: Iranian Journal of Field Crop Science Year:2009 | Volume:40 | Issue:1 Page(s): 45-54

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Title

A STUDY OF GENETIC DIVERSITY AMONG DIFFERENT RICE (ORIZA SATIVA L.) GENOTYPES USING MULTIVARIATE METHODS

Author(s)

Keywords

GENETIC DIVERSITYQ2

CLUSTER ANALYSISQ2

MULTIVARIATE METHODSQ2

RICE (ORIZA SATIVA L.)Q2

Abstract

To study the relationships between different traits and yield, and as well to make a determination of GENETIC DIVERSITY and a classification of genotypes, 100 rice genotypes were investigated through a 10×10 simple lattice design of two replications at Rice Research Institute of Iran, Rasht in year 2000. Results of the variance analysis indicated showed that there were significant differences among genotypes for all traits at 1% probability level. The highest and the lowest genotypic and phenotypic variation coefficient was related to the panicle exit length from flag leaf and to days to 50% flowering, respectively. Broad sense heritability was recorded as the highest for amylose content and gelatinization temperature while the lowest recorded for grain yield per plant and overall yield. Total as well as the number of fartile tillers, filled grain number, grain yield per plant and amylose content exhibited positive and significant genetic correlatin with yield. Results of path analysis demonstrated that grain yield per plant can be used as selection index to improve yield. In factor analysis, 6 independent factors namely plant morphology, grain size and shape, yield and yield components, grain number, grain filling and the panicle exit which respectively determined abd explained up to 79.6% of total data variaton among varieties. CLUSTER ANALYSIS as based on Ward’s minimum variance classified genotypes into seven clusters of 8, 27, 10, 5, 12, 9 and 29 genotypes, respectively.

Cites

THE EVALUATION OF RELATIONSHIP BETWEEN QUANTITATIVE AND QUALITATIVE FEATURES WITH YIELD IN RICE PROMISING LINES USING FACTOR ANALYSIS

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APA: Copy

HOSSEINZADEH FASHALAMI, N., KAZEMITABAR, S.K., BABAEIAN JELODAR, N.A., ZAMANI, P., & ALLAHGHOLIPOUR, M.. (2009). A STUDY OF GENETIC DIVERSITY AMONG DIFFERENT RICE (ORIZA SATIVA L.) GENOTYPES USING MULTIVARIATE METHODS. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), 40(1), 45-54. SID. https://sid.ir/paper/153493/en

Vancouver: Copy

HOSSEINZADEH FASHALAMI N., KAZEMITABAR S.K., BABAEIAN JELODAR N.A., ZAMANI P., ALLAHGHOLIPOUR M.. A STUDY OF GENETIC DIVERSITY AMONG DIFFERENT RICE (ORIZA SATIVA L.) GENOTYPES USING MULTIVARIATE METHODS. IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES)[Internet]. 2009;40(1):45-54. Available from: https://sid.ir/paper/153493/en

IEEE: Copy

N. HOSSEINZADEH FASHALAMI, S.K. KAZEMITABAR, N.A. BABAEIAN JELODAR, P. ZAMANI, and M. ALLAHGHOLIPOUR, “A STUDY OF GENETIC DIVERSITY AMONG DIFFERENT RICE (ORIZA SATIVA L.) GENOTYPES USING MULTIVARIATE METHODS,” IRANIAN JOURNAL OF FIELD CROP SCIENCE (IRANIAN JOURNAL OF AGRICULTURAL SCIENCES), vol. 40, no. 1, pp. 45–54, 2009, [Online]. Available: https://sid.ir/paper/153493/en

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