Volume 9, Issue 19 (6-2018)                   rap 2018, 9(19): 83-92 | Back to browse issues page

XML Persian Abstract Print

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

Ebrahimpour Taher S, Alijani S, Rafat S A, Sharifi A R. Efficiency of Genomic Selection in Breeding Programs of Native Hens. rap. 2018; 9 (19) :83-92
URL: http://rap.sanru.ac.ir/article-1-728-en.html
University of Tabriz
Abstract:   (827 Views)

The development of genomic selection has created new strategies in animal breeding programs. The aim of this study was to investigate the efficiency of genomic selection in breeding programs of native hens. In this study, a reference scenario with 3380 birds using pedigree and phenotypic information was simulated and the expected genetic progress was derived deterministically with the software of ZPLAN+. The reference scenario was compared with two genomic breeding programs to determine the best strategy for implementing genomic information in breeding programs of native hens. In scenario I, the genomic information of both sexes was used, but in scenario II, only one's of males was used. In both scenarios, the number of genotyped male selection candidates was varied between 800 and 1600 males and four size of the reference population including (500, 1000, 1500 or 2000 birds) were considered. The generation interval of 14.5 months was in the reference scenario. In both genomic scenarios, breeders of both sexes were select at the biologically earliest possible age. So, the generation interval was reduced to eight months. All genomic scenarios increased the genetic gain and the economic profit of the breeding program (€ 235.87 to € 273.28 profit per animal unit in scenario II). The accuracy of the selection index in reference scenario was 0.61 and 0.63 for cocks and hens, respectively. This study showed that the increase of accuracy and decrease of general interval in genomic scenarios has a positive effect on the profit and genetic gain. So, application of genomic information increased the efficiency of breeding programs in native fowl. Based on the results of this study, genomic selection can be used in genomic breeding programs of native fowls. To reduce costs, it is also recommended to investigate the application of low-density SNP chips.

Full-Text [PDF 3214 kb]   (388 Downloads)    
Type of Study: Research | Subject: ژنتیک و اصلاح نژاد طیور
Received: 2017/03/12 | Revised: 2018/06/26 | Accepted: 2018/01/10 | Published: 2018/06/24

1. Abbasi, M.A., H. Emamgholi Begl and S.H. Ghorbani. 2017. Estimation of (co)variance components of egg quality traits for Fars native fowls. Research on Animal Production, 8: 195-200. [DOI:10.29252/rap.8.15.195]
2. Baneh, B., A. Nejati Javaremi, G.H. Rahimi-Mianji and M. Honarvar. 2017. Genomic evaluation of threshold traits with different genetic architecture using bayesian approaches. Research on Animal Production, 8: 149-154. [DOI:10.29252/rap.8.15.149]
3. Dekkers, J.C.M. 2007. Prediction of response to marker- assisted and genomic selection using selection index theory. Journal of Animal Breeding and Genetics, 124: 331-341. [DOI:10.1111/j.1439-0388.2007.00701.x]
4. Erbe, M., F. Renhardt and H. Simianer. 2011. Empirical determination of the number of independent chromosome segments based on cross-validated data. In Book of Abstracts of the 62nd EAAP ConferenceGottingen, Germany, 115 pp.
5. Ghazikhani Shad, A., A. Nejati Javaremi and H. Mehrabani Yeganeh. 2007. Animal model estimation of genetic parameters for most important economic traits in Iranian native fowls. Pakistan Journal of Biological sciences, 10: 2787-2789. [DOI:10.3923/pjbs.2007.2787.2789]
6. Goddard, M. 2009. Genomic selection: prediction of accuracy and maximisation of long term response. Genetica, 136: 245-257. [DOI:10.1007/s10709-008-9308-0]
7. Gorgani Firozjah, N., H. Atashi and A. Zare. 2015. Estimation of genetic parameters for economic traits in Mazandaran native chickens. Journal of Animal and Poultry Sciences, 4: 20-26.
8. Haberland, A., F. Ytournel and H. Simianer. 2011. Einbindung genomischer Informationen in den Selektionsindex. In Vortragstagung Der Gesellschaft Für Züchtungskunde e.V. (DGfZ) Und Der Gesellschaft Für Tierzuchtwissenschaften (GfT), Freising-Weihenstephan.
9. Hoffmann, I. 2005. Research and investment in poultry genetic resources-challenges and option for sustainable use. World's Poultry Science Journal, 61: 57-70. [DOI:10.1079/WPS200449]
10. Khodabakhshzadeh, R., M.R. Mohammadabadi, A.K. Esmailizadeh, A. Koshkoieh, H. Moradi-Shahrebabak, F. Bordbar and S. Ansari Namin. 2016. Identification of point mutations in exon 2 of GDF9 gene in Kermani sheep. Polish Journal of Veterinary Sciences, 19: 281-289. [DOI:10.1515/pjvs-2016-0035]
11. Kiani manesh, H., A. Nejati Javaremi and G.H. Rahimi Mianji. 2001. Estimation of economic values for production traits of Iranian native fowls. Journal of Agriculture and Rural Omran, 3: 53-61.
12. König, S., H. Simianer and A. Willam. 2009. Economic evaluation of genomic breeding programs. Journal of Dairy Science, 92: 382-391. [DOI:10.3168/jds.2008-1310]
13. Meuwissen, T.H.E., B.J. Hayes and M.E. Goddard. 2001. Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157: 1819-1829.
14. Moazeni, S., M.R. Mohammadabadi, M. Sadeghi, H. Shahrbabak, A. Koshkoieh and F. Bordbar. 2016a. Association between UCP Gene Polymorphisms and growth, breeding value of growth and Reproductive Traits in Mazandaran Indigenous Chicken. Open Journal of Animal Sciences, 6: 1-8. [DOI:10.4236/ojas.2016.61001]
15. Moazeni, S.M., M.R. Mohammadabadi, M. Sadeghi, H. Moradi Shahrbabak and A.K. Esmailizadeh. 2016. Association of the melanocortin-3(MC3R) receptor gene with growth and reproductive traits in Mazandaran indigenous chicken. Journal of Livestock Science and Technologies, 4: 51-56.
16. Mohammadabadi, M.R. and R. Sattayimokhtari. 2013. Estimation of (co) variance components of ewe productivity traits in Kermani sheep. Slovak. Journal of Animal Science, 46: 45-51.
17. Mohammadabadi, M.R., M. Nikbakhti, H.R. Mirzaee, A. Shandi, D.A. Saghi, M.N. Romanov and I.G. Moiseyeva. 2010. Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers. Russian journal of genetics, 45: 505-509. [DOI:10.1134/S1022795410040198]
18. Mohammadifar, A. and M.R. Mohammadifar. 2011. Application of microsatellite markers for a study of Kermani sheep genome. Iranian journal of Animal Science, 42: 337-344.
19. Mousavizadeh, A., M.R. Mohammadabadi, A. Torabi, M.R. Nassiry, H. Ghiasi and A.K. Esmailizadeh. 2009. Genetic polymorphism at the growth hormone locus in Iranian Talli goats by polymerase chain reaction-single strand conformation polymorphism (PCR-SSCP). Iranian Journal of Biotechnology, 7: 51-53.
20. Nejati Javaremi, A., C. Smith and J.P. Gibson. 1997. Effect of total allelic relationship on accuracy of evaluation and response to selection. Journal of Animal Science, 75: 1738-1745. [DOI:10.2527/1997.7571738x]
21. Shahdadnejad, N., M.R. Mohammadabadi and M. Shamsadini. 2016. Typing of clostridium perfringens isolated from broiler chickens using multiplex PCR. Genetics in the 3rd millennium, 14: 4368-4374.
22. Sitzenstock, F., F. Ytournel, A.R. Sharifi, D. Cavero, H. Täubert, R. Preisinger and H. Simianer. 2013. Efficiency of genomic selection in an established commercial layer breeding program. Genetic Selection Evolution, 45: 1-11. [DOI:10.1186/1297-9686-45-29]
23. Täubert, H., F. Reinhardt and H. Simianer. 2010. ZPLAN+ new software to evaluate and optimize animal breeding programs. Leipzig: In Proceedings of the 9th World Congress on Genetics Applied to Livestock Production, Gottingen, Germany.
24. Vajed Ebrahimi, MT., M.R. Mohammadabadi and A. Esmailizadeh. 2017. Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran. Archives Animal. Breeding, 60: 183-189. [DOI:10.5194/aab-60-183-2017]
25. Wolc, A., A. Kranis, J. Arango, P. Settar, J.E. Fulton, N.P. O'Sullivan, A. Avendano, K.A. Watson, J.M. Hickey, G. Deos Campos, R.L. Fernando, D.J. Garrick and J.C.M. Dekkers. 2016. Implementation of genomic selection in the poultry industry. Animal Frontiers, 6: 23-31. [DOI:10.2527/af.2016-0004]
26. Zandi, E., M.R. Mohammadabadi, M. Ezzatkhah and A.K. Esmailizadeh. 2014. Typing of toxigenic isolates of clostridium perfringens by Multiplex PCR in Ostrich. Iranian Journal of Applied Animal Science, 4: 509-514.

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

Send email to the article author

© 2019 All Rights Reserved | Research On Animal Production(Scientific and Research)

Designed & Developed by : Yektaweb