Volume 8, Issue 17 (1-2018)                   rap 2018, 8(17): 107-114 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Genetic Analysis of Biometric Traits in Moghani Sheep Breed . rap. 2018; 8 (17) :107-114
URL: http://rap.sanru.ac.ir/article-1-873-en.html
Abstract:   (3059 Views)
      The present study aimed to estimate the genetic for parameters of biometric traits in Iranian Moghani-sheep breeds. The data set consisted 15115 biometric records from 3702 individual progenies of 499 male and 3203 female, involve for a 15 years period (1996 to 2011). obtained from Moghani sheep breeding and raising station. Variance components and genetic parameters were estimated using restricted maximum likelihood (REML)-methods by WOMBAT software. Six different animal models were fitted and the best model for each trait determined by Akaike Information Criterion (AIC). All traits were significantly (P<0.01) influenced by year of birth, sex of the lamb and birth type. Using best model fitted for each trait, direct heritability was estimated as 0.10, 0.04, 0.16, 0.11 and 0.37 for height at withers, height at rump, body length, heart girth and leg circumference, respectively. Using bivariate analysis, the estimates of additive genetic correlations ranged from -0.55 (between BL and LC) to 0.99 (between HW and HR). The estimates of genetic parameters in particular the heritabilities of biometric traits revealed that there is enough genetic diversity in Moghani breed hence, it was hoped that breeding programwould be successful in this breed. The findings of the present study can be used as a criterion for other Iranian breeds especially those have a similar management system as Moghani sheep breeding station.                                                                                                                       
Full-Text [PDF 837 kb]   (1234 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/01/10 | Revised: 2018/01/15 | Accepted: 2018/01/10 | Published: 2018/01/10

1. Abbasi, M.A. and F. Ghafouri-Kesbi. 2011. Genetic co(variance) components for body weight and body measurements in Makooei sheep. Asian-Australasian Journal of Animal Sciences, 24: 739-743. [DOI:10.5713/ajas.2011.10277]
2. Aghaali-Gamasaee, V., S.H. Hafezian, A. Ahmadi, H. Baneh, A. Farhadi and A. Mohamadi. 2010. Estimation of genetic parameters for body weight at different ages in Mehraban sheep. African Journal of Biotechnology, 9(32): 5218-5223.
3. Akaike, H. 1974. A new look at the statistical model identification. IEEE Transactions, Automatic Control, 19:716-723. [DOI:10.1109/TAC.1974.1100705]
4. Alfolyan, R.A., I.A. Adeyinka and C.A.M. Lakpini. 2006. The estimation of live weight from body measurement in Yankasa sheep. Czech Journal of Animal Science, 51: 343-348. [DOI:10.17221/3948-CJAS]
5. Duguma, G., S.J. Schoeman, S.W.P. Cloete and G.F. Jordaan. 2002. Genetic parameter estimates of early growth traits in the Tygerhoek Merino flock. South African Journal of Animal Science, 32: 66-75. [DOI:10.4314/sajas.v32i2.3747]
6. Gowane, G.R., A .Chopra, L.L.L. Prince, A.K. Mishra and A.L. Arora. 2011. Genetic analysis for growth traits of prolific Garole × Malpura (GM) sheep. Tropical Animal Health and Production, 43: 299-303. [DOI:10.1007/s11250-010-9718-8]
7. Hossein-Zadeh, N.G. and M.E. Ardalan. 2010. Comparison of different models for the estimation of genetic parameters of body weight traits in Moghani sheep. Agricultural and Food Science, 19(6): 207-213. [DOI:10.2137/145960610792912639]
8. Hu, S. 2007. Akaike information criterion. Center for Research in Scientific Computation.
9. Jafari, S. and A. Hashemi. 2014. Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed. South African Journal of Animal Science, 44(2): 141-147. [DOI:10.4314/sajas.v44i2.6]
10. Jafari, S., A. Hashemi, R. Darvishzadeh and G. Manafiazar. 2014. Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed. Spanish Journal of Agricultural Research, 12(3): 653-663. [DOI:10.5424/sjar/2014123-4564]
11. Jafaroghli, M., A. Rashidi, M.S. Mokhtari and A.A. Shadparvar. 2010. (Co)Variance components and genetic parameter estimates for growth traits in Moghani sheep. Small Ruminant Research, 91: 170-177. [DOI:10.1016/j.smallrumres.2010.03.010]
12. Janssens, S. and W. Vandepitte. 2004. Genetic parameters for body measurements and type traits in Belgian Bleu du Maine, Suffolk and Texel sheep. Small Ruminant Research, 54: 13-24. [DOI:10.1016/j.smallrumres.2003.10.008]
13. Kunene, N., E.A. Nesamvuni and A.F. Fossey. 2007. Characterization of Zulu (Nguni) sheep using linear body measurement and some environmental factors affecting these measurements. South African Journal of Animal Science, 37: 11-20. [DOI:10.4314/sajas.v37i1.4020]
14. Mandal, A., G. Dass, P.K. Rout and R. Roy. 2010. Genetic parameters for direct and maternal effects on post-weaning body measurements of Muzaffarnagari sheep in India. Tropical Animal Health and Production, 10: 9752-9756.
15. Matiatis, N. and G.E. Pollott. 2003. The impact of data structure on genetic (co) variance components of early growth in sheep, estimated using an animal model with natural effects. Journal of Animal Science, 81: 101-108. [DOI:10.2527/2003.811101x]
16. Meyer, K. 1992. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science, 31: 179-204. [DOI:10.1016/0301-6226(92)90017-X]
17. Meyer, K. 2007. WOMBAT - A tool for mixed model analyses in quantitative genetics by REML, J. Zhejiang Uni. SCIENCE B, 8: 815-821. [doi:10.1631/jzus.2007.B0815]. [DOI:10.1631/jzus.2007.B0815]
18. Microsoft Visual FoxPro 9.0. Copyright© 1988-2004, Microsoft Corporation.
19. Mmereole, F.U. and J.I. Obinne. 2010. Relationship of the body weight and linear measurements of the West African Dwarf (WAD) sheep under the humid environment of Nigeria. Agricultural Tropical ET Subtropical, 43(1): 64-67.
20. Mousa, E., L.D. Van Vleck and K. Leymaster.1999. Genetic parameters for growth traits for a composite terminal sire breed of sheep. Journal of Animal Science, 77: 1659-1665. [DOI:10.2527/1999.7771659x]
21. Näsholm, A. and O. Danell.1996. Genetic relationships of lamb weight, maternal ability, and mature ewe weight in Swedish finewool sheep. Journal of Animal Science, 74: 329-339. [DOI:10.2527/1996.742329x]
22. Rahimi, S.M., S.A. Rafat and S. Jafari. 2014. Effects of environmental factors on growth traits in Makuie sheep. Biotechnology in Animal Husbandry, 30(2): 185-192. [DOI:10.2298/BAH1402185R]
23. Rajab, M.H., I.C. Cartwright, P.F. Dahm and E.A.P. Figueireda. 1992. Performance of three tropical hairsheep breeds. Journal of Animal Science, 70: 3351-3359. [DOI:10.2527/1992.70113351x]
24. Saadatnoori, M. and S. Siahmansoor. 1986. Principles of Sheep Industry. 3rd end. Chapter 4, Armagan Publication, Iran, 101-105.
25. Salako, A.E. 2006. Application of morphological indices in the assessment of type and function in sheep International Journal of Morphology, 24(1): 13-18. [DOI:10.4067/S0717-95022006000100003]
26. Sargolzaei, M., H. Iwaisaki and J. Colleau. 2006. CFC: a tool for monitoring genetic diversity. In Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 27-28 pp,13-18 August.
27. SAS. 2005. SAS/STAT software, vers. 6. SAS Inst. Inc, Cary, NC, USA.
28. Yakubu, A.L., A.R. Abdullah, M.M. Ari and D.M. Ogah. 2005. Studies on live weight and linear body measurements of West African Dwarf sheep in North Central Nigeria. Production Agriculture and Technology, 21(3): 137-145.
29. Yakubu, A.L. 2010. Path coefficient and path analysis of body weight and biometric traits in Yankasa lambs. Slovak Journal of Animal Science, 43(1): 17-25.

Add your comments about this article : Your username or Email:

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2022 CC BY-NC 4.0 | Research On Animal Production(Scientific and Research)

Designed & Developed by : Yektaweb