Volume 9, Issue 24 (3-2018)
J Crop Breed 2018, 9(24): 152-157 |
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Masoudi-Jozchal Z, Babaeian-Jelodar N, Bagheri N. (2018). Correlation and Path Coefficient Analysis in F₂ Generation of Rice Genotypes Derived from Crosses between Tarom-Jelodar and 229R Cultivars. J Crop Breed. 9(24), 152-157. doi:10.29252/jcb.9.24.152
URL: http://jcb.sanru.ac.ir/article-1-934-en.html
URL: http://jcb.sanru.ac.ir/article-1-934-en.html
1- Faculty of Agricultural Sciences, Sari Agricultural Sciences and Natural Resources University
Abstract: (4481 Views)
Present study aimed to assess the relationship between grain yield and its components in 116 rice genotypes in F₂ generations obtained from crosses between Tarom-Jelodar and 229R cultivars. Correlation analysis showed that the number of panicle per plant (0.758), the number of filled grains per panicle (0.604), the 100 grains weight (0.401) and grain width (0.234) had significant positive relationships with grain yield. Also, between grain yield and number of non-filled grain per panicle (-0.438) a significant negative correlation was existed. Analysis with stepwise regression five characters including: the number of panicle per plant, the number of filled grains per panicle, grain length, the number of non-filled grain per panicle and grain width justified 85% of the changes in grain yield in the model. Path analysis showed that the number of panicle per plant showed greatest positive effects (0.683) on grain yield. The data obtained in current study showed that the number of panicle, the number of filled grain and 100 grain weight can be considered as selection criteria to improve grain yield for rice breeding purposes.
Type of Study: Research |
Subject:
اصلاح نباتات، بیومتری
Received: 2018/03/10 | Accepted: 2018/03/10
Received: 2018/03/10 | Accepted: 2018/03/10
References
1. Bagheri, N.A., N.A. Babaeian-Jelodar and A. Pasha. 2011. Path coefficient analysis for yield and yield components in diverse rice (Oryza sativa L.) genotypes. Biharean Biologist, 5(1): 32-35.
2. Eidi-kohnaki, M., Gh. Kiani and Gh. Nematzadeh. 2013. Relationship between Morphological Traits in Rice Restorer Lines at F3 Generation using Multivariate Analysis. International journal of Advanced Biological and Biomedical Research, 1(6): 572-577.
3. FAO (Food and Agriculture Organization of the United Nations). 2011. www.fao.org/statistics/en/.
4. Farshadfar, A. 1997. Breeding Methodology, Razi University Press, 616 pp (In Persian).
5. Honarnezhad, R. 2002. Stady of correlation between some quantitative traits and grain yield in rice (Oryzas ativa L.) using path analysis Journal of Crop Sciences, 4(1): 25-35 (In Persian).
6. IRRI. 2002. Standard Evaluation System for rice (SES). International Rice Research Institute, 54 pp.
7. Kiani, Gh and Gh. Nematzadeh. 2012. Correlation and Path Coefficient Studies in F2 Populations of Rice. Not Sci Biol, 4(2): 124-127. [DOI:10.15835/nsb427366]
8. Khush, G.S. 2005. What it will take to feed 5.0 billion rice consumers in 2030. Plant Mol. Biol. 59: 1-6. [DOI:10.1007/s11103-005-2159-5]
9. Mostafavi, Kh., M. Shoahosseini and H. Sadeghi Geive. 2011. Multivariate analysis of variation among traits of corn hybrids traits under drought stress. International Journal of Agriculture Science, 1(7): 416-422.
10. Manjappa, G.U. and S.H. Hittalmani. 2014. Association analysis of drought and yield related traits in F2 population of moroberekan/IR64 rice cross under aerobic condition .International Journal of Agricultural Science and Research, 4(2): 79-88.
11. Norain, M.N., A. Shamsiah, H. Abdul Rahim, H. Nor Aishah, Ab.M. Haslinda and W.A. Wan Aminuddin. 2014. Correlation Analysis on Agronomic Characters in F2 Population Derived from MR64 and Pongsu Seribu 2. Journal of Applied Science and Agriculture Special, 9(18): 143-147.
12. Ratnakar, M. Shet, M.P. Rajanna, S. Ramesh, M.S. Sheshshayee and P. Mahadevu. 2012. Genetic variability correlation and path coefficient studies in F2 generation of aerobic rice (Orzya sativa L.). Electronic Journal of Plant Breeding, 3(3): 925-931.
13. Ravindra Babu, V., K. Shreya, D. Kuldeep Singh, G. Usharani and A. Siva Shankar. 2012. Correlation and path analysis studies in popular rice hybrids of india. International Journal of Scientific and Research Publications, 2(3): 2250-3153.
14. Rezaei, A. and A. Soltani. 1998. Introduction to Functional Regression Analysis. Isfahan University Publication Center, 295 pp (In Persian).
15. Sabouri, H., G.H. Mohammadynezhad and M. Fazlalipur. 2011. Selection for improved performance using multivariate statistical methods in rice. Iran Agricultural Research magazine, 9(4): 650-639 (In Persian).
16. Sabouri, H., A. Sabouri and A.R. Dadras, 2009. Genetic dissection of biomass production and partitioning with grain yield and yield traits in indica-indica Crosses of Rice (Oryza sativa L.) cultivars. Australian Journal of Crop Science, 3:155-166.
17. Tan, Y.F., Y.Z. Xing., J.X. Li, S.B. Yu., C.G. Xu and Q. Zhang. 2000. Genetic bases of appearance quality of rice grains in Shanyou 63, an elite rice hybrid. Theoretical and Applied Genetics, 101: 823-829. [DOI:10.1007/s001220051549]
18. Venkanna, V., M.V.B. Rao, CH.S. Raju, V.T. Rao and N. Lingaiah. 2014. Association Analysis of F2 Generation in Rice (Oryza sativa L.). International Journal of Pure & Applied Bioscience, 2 (2): 278-283.
19. Vaezi, SH., C. Abd-Mishani, B. Yazdi-Samadi and M.R. Ghannadha. 2000. Correlation and Path Analysis of Grain Yield and its Components in Maize. Iranian Journal of Agricultural Sciences, 31: 71-83
20. Williams, W.A., M.B. Jones and M.W. Demment. 1990. A concise table for path analysis statistics. Agronomy Journal, 82: 1022-1024. [DOI:10.2134/agronj1990.00021962008200050036x]
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