Volume 10, Issue 26 (9-2018)                   J Crop Breed 2018, 10(26): 207-214 | Back to browse issues page

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Moradi M, Soltani Howyzeh M. (2018). Evaluation of Genetic Diversity and Heritability of the Grain Yield and Yield Components in Spring Rapeseed Cultivars . J Crop Breed. 10(26), 207-214. doi:10.29252/jcb.10.26.207
URL: http://jcb.sanru.ac.ir/article-1-685-en.html
Evaluation of Genetic Diversity and Heritability of the Grain Yield and Yield Components in Spring Rapeseed Cultivars
Mohammad Moradi *1, Mahdi Soltani Howyzeh1
1- Islamic Azad University
Abstract:   (3620 Views)

Canola as an oil plant that is considered as an important plant among other oilseed plants due to its high seed performance as well as oil content. Genetic diversity is necessary for breeding program and increasing selection efficiency. This study was conducted to investigate the genetic diversity and heritability of yield and some morphological traits in spring rapeseed, at Dezful, Khozestan Province Iran, during 2015–2016. A randomized complete block design with four replications was used. Results of analysis of variance showed significant differences among genotypes for all the traits at 1 % probability level, indicating the existence of genetic diversity among the studied cultivars. The highest genotypic and phenotypic coefficient of variation was found for the 1000-grain weight, number of grain per pod and days to maturity, respectively. The highest broad sense heritability was estimated for the 1000-grain weight, days to maturity, number of grain per pod and HI and the lowest broad sense heritability was estimated for the plant height. The results of factor analysis exhibited two factors including sink factor (number of seeds per pod, 1000-seed weight and seed yield) and fixed capital factor (phonological traits). It seems that the possible to use their traits in breeding programs for improve seed yield of spring rapeseed cultivars. Using WARD method cluster analysis revealed five groups and there was, base on highest genetic distance and seed yield predict that hybridization of between Hayola401 and RGS003 genotyps could provide best hybrids and supply a desirable genetic diversity in segregated generations for breeding programs.
 

 

Keywords: Coefficient of variation, Cluster analysis, Factor analysis and rapeseed
Full-Text [PDF 1688 kb]   (1696 Downloads)    
Type of Study: Research | Subject: اصلاح نباتات، بیومتری
Received: 2017/01/4 | Accepted: 2017/06/7
References
1. Burton, G.W. and E.H. Devan. 1953. Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 45: 478-481. [DOI:10.2134/agronj1953.00021962004500100005x]
2. Chaudhary, L.B. and B. Prasad. 1968. Genetic variation and heritablity of quantitative characters in Indian mustard (Brassica Juncea). Indian Journal of Agricultural Science, 38: 820-825.
3. Clark, J.M. and G.M. Simpson. 1978. Growth analysis of Brassica napus. Canadian Journal of Plant Science, 58: 587-597. [DOI:10.4141/cjps78-092]
4. Guo, J.C., X.X. Guo and R.H. Liu. 1987. A study of correlations between yield components in mutants of Brassica napus L. Oil Crops of China, 2: 23-25.
5. Guertin, W.H. and J.P. Bailey. 1982. Introduction to Modern Factor Analysis. Edwards Brothers Inc., Michigan, 329 pp.
6. Hamza, S., W.B. Hamida, A. Rebai and M. Harrabi. 2004. SSR-based genetic diversity assessment among Tunisian winter barley and relationship with morphological traits. Euphytica, 135: 107-118. [DOI:10.1023/B:EUPH.0000009547.65808.bf]
7. Janson, W.A. 1997. Growing media and plant densities for strawberry tray plant. Acta Horticulturae, 439: 457-460. [DOI:10.17660/ActaHortic.1997.439.76]
8. Johnson, R.A. and D.W. Wichern. 1992. Applied multivariate statistical analysis. 3rded. Englewood Cliffs, NJ: Prentice Hall, 767 pp.
9. Kakaei, M., A. Zebarjadi, A. Mostafaie and A. Rezaeizad. 2014. Genetic variation and traits interrelationship in some rapeseed genotypes using multivariate techniques under two moisture conditions. Journal of Applied Crop Breeding, 2: 31-45 (In Persian).
10. Khan, F.A., S. Ali., A. Shakeel, A. Saeed and G. Abbas. 2006. Correlation analysis of some quantitative characters in Brassica napus L. Journal of Agricultural Research, 44: 7-14.
11. Naseri, F. 1990. Oil seed crops. Astan-ghods razavi press. Mashhad. Iran, 823 pp (In Persian).
12. Majidi, M.M., M. Jafarzadeh-Ghahdarijani, F. Rashidi and A. Mirlohi. 2016. Relationship of different traits in rapeseed (Brassica napus L.) cultivars under normal and drought conditions. Journal of Crop Breeding, 8: 55-65 (In Persian). [DOI:10.18869/acadpub.jcb.8.17.65]
13. Mohammadi, S.A. and B.M. Prasanna. 2003. Analysis of genetic diversity in crop plants salient statistical tools and considerations. Crop Science, 43: 1235-1248. [DOI:10.2135/cropsci2003.1235]
14. Mahasi, M.J. and J.W. Kamundia. 2007. Cluster analysis in rapeseed (Brassica napus L.). African Journal of Agriculture Research, 2: 409-411.
15. Pearson, D.C., A.A. Rosielle and W.J.R. Boyd. 2007. Heritabilities of five wheat quality traits for early generation selection. Australian Journal of Experimental Agriculture, 21: 512-515. [DOI:10.1071/EA9810512]
16. Rahimi, M., M. Ramezani and A. Ozoni Davaji. 2016. Investigation of path and correlation analysis of pattern and plant densities effect on two rapeseed cultivars. Journal of Crop Breeding, 8: 218-227.
17. Rameeh, V. 2013. Multivariate analysis of some important quantitative traits in rapeseed (Brassica napus L.) advanced lines. Journal of Oilseed Brassica, 4: 75-82.
18. Roostabaghi, B., H. Dehghan, B. Alizadeh and N. Sabaghnia. 2013. Study of diversity and evaluation of relationships between yield and yield components of rapeseed via multivariate methods. Journal of Crop production and processing, 2: 53-63 (In Persian).
19. Sabaghnia, N., H. Dehghani, B. Alizadeh and M. Moghaddam. 2010. Interrelationships between seed yield and 20 related traits of 49 canola (Brassica napus L.) genotypes in non-stressed and water-stressed environments. Spanish Journal of Agricultural Research, 8: 356-370. [DOI:10.5424/sjar/2010082-1195]
20. Seiler, G.J. and R.E. Stafford. 1979. Factor analysis of components of yields in guar. Crop Science, 25: 905-908. [DOI:10.2135/cropsci1985.0011183X002500060003x]
21. Samadi Gorji, M., A. ZamanMirabadi, V. Rammeah, M. Hasanpour and A. Esmailifar. 2015. Evaluation of agronomic traits of mutants induced by gamma irradiation in PF and RGS003 varieties of rapeseed (Brassica napus L.). Journal of Crop Breeding, 7: 135-144 (In Persian).
22. Sana, M., A. Ali, M.A. Malik, F.M. Saleem and M. Rafiq. 2003. Comparative yield potential and oil contents of canola cultivars (Brassica napus L.). Pakistan Journal of Agronomy, 2: 1-7. [DOI:10.3923/ja.2003.1.7]
23. Sharma, S. 1996. Applied multivariate techniques. 1nd ed. John Wiley and Sons, New York, 493 pp.
24. Subhashchandra, B., H.C. Lohithaswa, A.S. Desai and R.R. Hanchinal. 2010. Assessment of genetic variability and relationship between genetic diversity and transgressive segregation in tetraploid wheat. Karnataka Journal of Agricultural Sciences, 22: 36-38.
25. Vafaei, S.N., A. Tobeh, A. Taee and S. Jamaati-e-Somarin. 2010. Study of phenology, harvest index, yield, yield components and oil content of different cultivars of rain-fed safflower. World Applied Science Journal, 8: 820-827.
26. Singh, K.B., B. Geletu and R.S. Malhotra. 1990. Association of some characters with seed yield in chickpea collections. Euphytica, 49: 83-88. [DOI:10.1007/BF00024133]
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