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Research Paper | July 1, 2013

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Study of agronomic traits in a number of promising rice lines by multivariate statistical methods

Seyyed Mohadeseh Mirhoseini, Morteza Sam Daliri, Mojtaba Neshaee Moghaddam, Ali Mohaddesi, Abouzar Abbasian

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Int. J. Biosci.3(7), 119-125, July 2013

DOI: http://dx.doi.org/10.12692/ijb/3.7.119-125

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Abstract

The objectives of the experiment were to study the relationships between the agronomic traits and yield components and identify effective traits for the improvement of grain yield in seven promising lines of rice plus two native cultivars (Shiroodi and 843) as control. The experiment was conducted as a randomized complete block design (RCBD) with four replications at Rice Research Station of Tonekabon, Iran in 2011. In this study, 17 traits including plant height, total tiller number, fertile and sterile tiller number, length, width and area of flag leaf, panicle length, total grain, number filled and empty grain, 100-grain weight, length, width and the ratio of length to width of grain and grain yield. The result of correlation showed that the grain yield has a positive and significant correlation with plant height and negative correlation with empty grain. Stepwise regression showed that the effective characters related to grain yield were total number of grain that about 49.48 percent of the regression model variation was allocated to itself. The results of path analysis indicated that number of empty grain and plant height were the most important components of grain yield and they had the most directed effects on grain yield. For synchronizing of these effects on rice lines, cluster analysis was done and results of this method showed that there was 3 classes between these genotypes.

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Study of agronomic traits in a number of promising rice lines by multivariate statistical methods

Agahi K, Fotokian MH, Farshadfar E. 2007. Correlation and path coefficient analysis for some yield-related traits in rice genotypes (Oryza sativa L.). Asian Journal of  Plant Sciences  6(3), 513-517. http://dx.doi.org/10.3923/ajps.2007.513.517

Allah Gholipour M, Mohammad Salehi MS, Tavazoe M. 2001. Study of genetic diversity and classification of different rice cultivars. Rice Research Institute Publications, Rasht, Iran.

Allah Gholipour M. 1998. Study of correlation between some agronomic traits and grain yield using Path analysis in rice. M.Sc. thesis, Agricultural University of Tehran, Iran.

Chaubey PK, Singh R. 1994. Genetic variability, correlation and path analysis of yield components of rice. The Madras Agricultural Journal 81(9), 468-470.

Dourosti H. 2005. Assessment of genetic diversity based on agronomic properties of rice promising lines. M.Sc. thesis, Islamic Azad University, Karaj Branch, Iran.

Falconer DS. 1981. Introduction to Quantitative Genetics. 2ed. Longman Group Limited, New York. 340 p.

Gholami Tajany M. 1998. Study of grain yield and yield Components of rice using path analysis. M.Sc. thesis, Islamic Azad University, Ardebill Branch, Iran.

Gholipoor M, Zeinali H. 1998. Study of correlation between yield and some important agronomic traits using path analysis in rice. Iranian Journal of Agricultural Science 29(3), 627-638. (In Persian)

Gravois KA, McNew RW. 1993. Genetic relationship among and selection for rice yield and yield component. Crop Science 33(2), 249-252. http://dx.doi.org/10.2135/cropsci1993.0011183X00 3300020006x

Honarnezhad R. 2003. Study of correlation between some quantitative traits of rice (Oryza sativa L.) and grain yield using Path analysis. Iranian Journal of Crop Science 4(1), 25-33. (In Persian)

Iftekharuddaula KM, Akter K, Hassan  MS, Fatema K, Badshah A. 2002. Genetic divergence, character association and selection criteria in irrigated rice. Journal of Biological Sciences 2(4), 243-246. http://dx.doi.org/10.3923/jbs.2002.243.246

Luzi-Kihupi A. 1998. Inter-relationship between yield and some selected agronomic characters in rice. African Crop Science Journal 6(3), 323-328.

Mehetre SS, Patil PA, Mahajan CR, Shinde RB. 1996. Variability, heritability, characrer association and genetic divergence studies in m2 generation of gamma Irradiated upland paddy. Crop Research 12(2), 155-161.

Miller BC, Hill JE, Roberts SR. 1991. Plant population effects on growth and yield in water-seeded rice. Agronomy Journal 83(2), 291-297. http://dx.doi.org/10.2134/agronj1991.0002196200 8300020006x

Mohaddesi A, Abbasian A, Bakhshipoor S, Mohammad salehi M. 2010. Study of effects of nitrogen fertilizer and planting distance on yield and yield components of promising rice line (843 numbers). Journal of crop Ecophysiology 2(3), 198-203. (In Persian)

Nourbakhshian J, Rezaei A. 2004. Investigation of traits correlations and path analysis of grain yield in rice (Oryza sativa L.). Iranian Journal of Crop Science 1(4), 55-65 (In Persian)

Prasad B, Patwary AK, Biswas PS. 2001. Genetic variability and selection criteria in fine rice (Oryza sativa L.). Pakistan Journal of Biological Sciences 4(10), 1188-1190. http://dx.doi.org/10.3923/pjbs.2001.1188.1190

Rahim Soroush H. 2002. Assessment of Genetic Diversity a Number of Rice Promising Lines by Multivariate Statistical Methods. M.Sc. thesis. Islamic Azad University, Karaj Branch, Iran.

Rahim Soroush H. 2005. Study of grain yield stability in rice (Oryza sativa L.) promising genotypes. Iranian Journal of Crop Science 7(2), 112-122. (In Persian)

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