Choice of the effective traits on grain yield as selection indices in progressive F6 populations in rice (Oryza sativa L.)

Document Type : Research Paper

Authors

1 Ph. D. Graduated, Dept. of Agricultural Biotechnology, Faculty of Campus, University of Guilan, Rasht, Iran

2 Assoc. Prof., Dept. of Agricultural Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

3 Research Assist. Prof., Rice Research Institute of Iran, Agricultural Research, Education and Extension Organization ‎‎(AREEO), Rasht, Iran

4 Prof., Dept. of Agricultural Biotechnology, Faculty of Agricultural Sciences, University of Guilan, Rasht, Iran

Abstract

To investigate the relationships among effective traits on grain yield and determination of and the relationships among them, 137 rice recombinant lines from F6 population along with four control cultivars (Tarom Deilamani, Hashemi, Saleh and Ali Kazmi) were evaluated for nine important agronomic traits and two crop seasons (2015-2016) in a augment design with four blocks. The results of analysis of variance indicated a significant difference among the lines for all evaluated traits. Also, the differences among control varieties were significant for all traits except for leaf length and width. Simple correlation coefficients were calculated for each year separately and showed that 100 seed weight, number of fertile tillers, number of filled grains, panicle length, leaf length and leaf width had a positive correlation with grain yield. Multiple regression analysis by stepwise method was calculated for each year separately and the results showed that for the first year, 100-grain weight and number of filled grain per panicle traits were entered into model, respectively, that explained 62 percent of grain yield variations. For the second year, 100-grain weight, number of filled grain per panicle and number of panicles traits were entered into model, respectively, that explained 73 percent of grain yield variations. Also based on path analysis results, after 100-grain weight (0.926), the number of tiller (0.739) and number of filled grain per panicle (0.682) traits have the most and positive direct effect with grain yield and thus, these traits could be considered as selection criteria for grain yield improvement in rice. The lines include 9, 132, 133, 24, 52, 83, 5, 40, 78 and 19 were selected as elite lines based on the above criteria. Due to the fact that these traits had a great effect on yield, the selected genotypes can effectively be used as high yielding lines for future studies based on these indices.

Keywords


Agahi, K., Fotoukian,M. H. and Uneasy, Z. 2014. Genetic variation and correlation of agronomic traits in some varieties of rice (Oryza sativa L.) in Iran. Iranian Journal of Biology 25(1):97-110. (In Persian with English Abstract).##Aghazadeh, K., Nematzadeh,G. and Babaeian-Jelodar, N.A.2008. The genetic diversity of rice cultivars (Oryza sativa L.) using quantitative traits: New Agricultural Science3(9): 1-12. (In Persian with English Abstract).##Allard, R. W. 1960. Principles of plant breeding. John Willey and Sons Inc., New York. 485 p.##Aminpanah, H. and Sharifi,P. 2011. Sequential path analysis for determination of relationships between yields related characters with yield in rice (Oryza sativa L.). African Journal of Agricultural Research 6(28): 6100-6106.##Ariyo, O. J., Pkenova,M. E. and Fatokun,C. A. 1986. Plant character correlations and path analysis of pod yield in okra. Euphytica 36: 677-686.##Bagheri, N.A., Babaeian-Jelodar,N. A. and Pasha, A. 2011. Path coefficient analysis for yield and yield components in diverse rice (Oryzasativa L.) genotypes. Biharean Biologist 5(1): 32-35.##Blasubramanian, V., Ladha,J. K. and Dening, G. L.1999. Resource management in rice systems: Nutrient. Kluwer Academic Publishers, London.##Bluchzhi, A. B and Kiyani, G.2015. Determination of the selection criteria for improving rice (Oryzasativa L.) yield using path analysis. Journal of Crop Breeding 5(12): 75-84. (In Persian with English Abstract).##Dato Seri, Y. B. 2003. Modernizing the rice farming community to meet social and business needs: The way forward. 3-6. In: Modern rice farming. Proceedings of International Rice Conference. October 13-16, 2003, Alor, Setar, Kedah, Malaysia.##Dorosty, H., Motahar, Y. and Ghannadha, M. R. 2004. Genetic diversity based on agronomic traits of rice advanced lines and varieties. Seed and Plant Journal 20 (2): 137-147. (In Persian with English Abstract).##Gunasekaran, M., Nadarajan, N. and Netaji, S. V. S. R. K. 2010. Character association and path analysis in inter-racial hybrids in rice (OryzaSativa L.). Electronic Journal of Plant Breeding
1(2): 956- 960.##Honarnejad, R. 2003. Study of correlation between some quantitative traits and grain yield in rice (Oryza sativa L.) using path analysis. Iranian Journal of Crop Sciences 4(1):35-35. (In Persian with English Abstract).##SES. 2002. Standard evaluation system for rice. International Rice Research Institute, Manila, Philippines.##Moosavi, M., Ranjbar, G. A.,Zarrini,H. N. and Gilani, A. 2015. Correlation between morphological and physiological traits and path analysis of grain yield in rice genotypes under Khuzestan conditions. Biological Forum 7(1): 43-47.##Moumeni, A. 1995. Study of correlations and path analysis for some of the important agronomy traits related to yield in rice varieties and hybrids. M. Sc. Dissertation, Tehran University, Tehran, Iran. (In Persian).##Rahim Souroush, H., Mesbah, M. and Hossain Zadeh, A. H. 2004. A study of relationship between grain yield and yield components in rice. Iranian Journal of Agricultural Science 35 (4): 983-993. (In Persian with English Abstract).##Rahimi, M., Rabiei, B., Ramezani, M. and Movafegh, S. 2010.Assessment of agronomic traits and determination of variables for breeding yield in rice. Iranian Journal of Field Crop Researches 8 (1): 111-119.##Rahnemaie, T., Vaezi., S.,Mozafar,J. and Boushehri,S. N. 2008. Correlation and path analysis grain yield and its related traits in red kidney beans. Journal of research and development76:80-88. (In Persian with English Abstract).##Sabokdast, M. and Kheyalparast, F. 2008.Study the relationship between the yields on the 30 cultivars of common bean (phaseoulus vulgaris L.).Journal of Science and technologyof Agricultural and Natural Resources, Soil and water Sciences11 (42):123-134. (In Persian with English Abstract).##Sabori, H., Rezaei, A.,Mirmohammady Maibody,S. A. M. and Esfahani,M. 2005. Path analysis for rice grain yield and related traits in two planting patterns. Journal of Science and Technology of Agricultureand Natural Resources9(1): 113-129. (In Persian with English Abstract).##Sarkar, M. M., Hassan, M. M.,Islam Rashid,M. M. and Seraj,S. 2014. Correlation and path coefficient analysis of some exotic early maturing rice (Oryzasativa L.) lines. Journal of Bioscience and Agriculture Research 1(1): 1-7.##Satheeshkumar, P. and Saravanan,K. 2012. Genetic variability, correlation and path analysis in rice (Oryzasativa L.). International Journal of Current Research 4(9): 82-85.##Sweta, R.N. and Singh,S.K. 2010. Character association and path analysis in rice (Oryzasativa L.) genotypes. World Journal of Agricultural Sciences 6(2): 201-206.##Yashitola, J., Thirumurugan, T.,Sundaram, R. M.,Naseerullah, M. K., Ramesha., M. S.,Sarma,N. P. and Sonti,R. V. 2002. Assessment of purity of rice hybrids using microsatellite and STS markers. Crop Science 42: 1369-1373.