Document Type : Research Paper
Author
Independent Scholar
Abstract
The aim of this study was to design optimal selection index without the use of economic coefficients based on the expected genetic gains in economic traits. Random simulation with 5 replications was used to evaluate the results of the designed indices. Simulated traits include body weight at birth (BW1), eight weeks (BW8), twelve weeks (BW12), maturation (BWM), age at first laying (AFE), weight of first egg (EWM), the mean egg weight from 28 to 32 weeks (EW) and the egg number (EN). In three indices, BW12, EN and EW traits were in the selection target and all simulated traits were in the selection criterion. Indices with the aim of genetic gain for 5 g in EW, 20 in EN and the difference between the three indices of the first to third selection were related to the change in the expected values of 100, 200 and 300 gr in BW12. The results showed that all three selection indicators are able to create a uniform and desirable genetic gain in traits. However, the second index is able to achieve acceptable results in a smaller number of generations (304 gr, 25.3 and 6.4 gr genetic gain for BW12, EN and EW, respectively). The inbreeding after 5 generations of the implementation of the first to third indices was not desirable (approximately 0.02) and the difference in inbreeding between the indices was not significant (P> 0.4). It is suggested that the second index for 5 generations be used for the Yazd province native fowls breeding.
Keywords
عنایتی، ب. 1398. ارزیابی شاخص انتخابهای مختلف اصلاح نژاد در مرغان بومی به وسیله شبیهسازی. رساله دکتری، دانشگاه کردستان.
عنایتی، ب.، رشیدی، ا.، عبدالهی آرپناهی، ر. و رزم کبیر، م. 1397. ارزیابی استراتژیهای اصلاحنژاد در مرغان بومی مازندران با استفاده از شبیهسازی رایانهای. نشریه علوم دامی ایران، شماره (4)49، ص ص481-494.
قربانی، ش.، قرهداغی، ع. ا.، عباسی، م. ع. و نعمتی، س. ا. 1396. بررسی عملکرد صفات تولیدی و تولید مثلی و مقایسه مدلهای مختلف حیوانی در برآورد پارامترهای ژنتیکی در مرغهای بومی یزد. نشریه علوم دامی، شماره 117، ص ص 177-192.
قربانی، ش. و قرهداغی، ع. 1397. برآورد وراثتپذیری و روند ژنتیکی برخی صفات اقتصادی در مرغهای بومی اصفهان. نشریه علوم دامی، شماره 118، ص ص85-98.
Adene, D. F. and Oguntade A. E. (2006). The structure and importance of the commercial and village based poultry industry in Nigeria (102pp). Rome: FAO Study.
Ahlers, C., Alders, R., Bagnol, B., Cambaza, A. B., Harun, M., et al. (2009). Improving village chicken production: A manual for field workers and trainers. ACIAR Monograph No. 139. Australian Centre for International Agricultural Research, Canberra, pg 17, http:// www.aciar.gov.au/publication/MN139.
Bernardo, R. (2010). Breeding for quantitative traits in plants (2nded). Stemma Press, Woodsbury Minn. Pp 390.
Bourdon, R.M. (1999). Understanding Animal Breeding. 2nd edition. Prentice Hall, Newjersey, USA. 500 p.
Caballero, A. and Toro, M. A. (2002). Interrelations between effective population size and other pedigree tools for management of conserved populations. Genetics Research. 75: 331-343.
Calik, J. (2011). Genetic and production trends in New Hampshire laying hens over 8 generations. ActaScientiarumPolonorum. Zootechnica.10(3).
El-Dlebshany, A.E. (2008). The relationship between age at sexual maturity and some productive traits in local chickens strain. Journal of Egypt Poultry Science. 28: 1253-1263
Falconer D. S. and Mackay T. F. C. 1996. Introduction to quantitative genetics (4thed). Addison Wesley Longman, Harlow. Pp. 480.
Faux, A. M., Gorjanc, G., Gaynor, R. C., Battagin, M., Edwards, S. M., Wilson, D. L. et al. 2016. AlphaSim: Software for Breeding Program Simulation. The Plant Genome. 9(3):1-14.
Gaynor, R.C., Gorjanc, G. and Wilson, D.L. AlphaSimR: An R Package for Breeding Program Simulations. Manuscr Prep.
Ghorbani, S. H. andKamali, M. A. (2007). Genetic trend in economic traits in Iranian native fowl. Pakistan Journal of Biological Science. 10: 3215-3219.
Gill, H. S. andVerma, S. K. (1983). Construction of selection index in poultry ignoring relative economic values. Indian J. Anim. Sci. 53(10): 1110- 1112.
Goger, H., Yurtogullari, S. and Demirtas, S. (2010). Effect of applied index selection approach on egg production traits in two pure breed brown egg layers. Trends in Animal &Veteroberrinary Science Journal. 1(2): 75-78.
Haunshi, S., Niranjan, M., Shanmugam, M., Padhi, M.K., Reddy, M.R., Sunitha, R. et al. (2010). Characterization of Two Indian Native Chicken Breeds for Production, Egg and Semen Quality, and Welfare Traits. Poultry Science. 90: 314-320.
Hazary, R. C, Johri, D. C, Kataria, M. C, Sharma, D. and Singh, D. P. (1998). Evaluation of efficiency of multisource weight-free selection index for desired gains in egg type chicken. Indian J. Anim. Sci. 68(7): 662- 666.
Hickey J. M. and Gorjanc G. (2012). Simulated data for genomic selection and genome-wide association studies using a combination of coalescent and gene drop methods. G3. 2: 425–427.
Hogsett, M.L. and Nordskog, A.W. (1958). Genetic economic value in selecting for egg production rate, body weight and egg weight. Poultry Science. 37: 1404-1419.
Hoofman, I. (2005). Research and investment in poultry genetic resources-challenges and options for sustainable use. J. World’s Poult. Sci. 61: 57–70.
Iqbal, J.,Mukhtar,N.,Rehman, Z, U.,Hassan Khan, S., Ahmad, T.,Anjum, M, S. et al. (2017). Effects of egg weight on the egg quality, chick quality, and broiler performance at the later stages of production (week 60) in broiler breeders. J. Appl. Poult. Res. 00:1–9.
Jafarnejad, A., Kamali, M.A., Fatemi, S.J. and Aminafshar, M. (2017). Genetic evaluation of laying traits in Iranian indigenous hens using univariate and bivariate animal models. The Journal of Animal & Plant Sciences. 27(1): 20-27.
Jafarnejad, A., Kamali, M.A., Fatemi, S.J. and Aminafshar, M. 2017. Genetic evaluation of laying traits in Iranian indigenous hens using univariate and bivariate animal models.The Journal of Animal & Plant Sciences. 27(1): 20-27.
Kaushik, R. and Khanna, A. S. (2003). Efficiency of different selection indices for desired gain in reproduction and production traits in Hariana Cattle. Asian-Australasian J. Anim. Sci. 16(6): 789-793.
Khawaja Department of Poultry Sciences, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan, T., Khan Poultry Research Institute, Ministry of Live Stock and Dairy Development, Shamsabad Rawalpindi, PakistanCorrespondencesohailhassan64@gmail.com
, S. H., Mukhtar Department of Poultry Sciences, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan, N., Parveen Poultry Research Institute, Ministry of Live Stock and Dairy Development, Shamsabad Rawalpindi, Pakistan, A. and Fareed Poultry Research Institute, Ministry of Live Stock and Dairy Development, Shamsabad Rawalpindi, Pakistan, G. (2013). Production Performance, Egg Quality and Biochemical Parameters of Three Way Crossbred Chickens with Reciprocal F1 Crossbred Chickens in Sub-Tropical Environment. Italian Journal of Animal Science.12: 127-132.
, S. H., Mukhtar Department of Poultry Sciences, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan, N., Parveen Poultry Research Institute, Ministry of Live Stock and Dairy Development, Shamsabad Rawalpindi, Pakistan, A. and Fareed Poultry Research Institute, Ministry of Live Stock and Dairy Development, Shamsabad Rawalpindi, Pakistan, G. (2013). Production Performance, Egg Quality and Biochemical Parameters of Three Way Crossbred Chickens with Reciprocal F1 Crossbred Chickens in Sub-Tropical Environment. Italian Journal of Animal Science.12: 127-132.
Minga, U., Msoffe, P. and Gwakisa, P. (2004). Biodiversity in disease resistance and in pathogens within rural Chickens. Proceeding of the 22nd World's Poultry Congress, Istanbul.
Misztal, I., Tsuruta, S., Lourenco, D., Aguilar, I., Legarra, A. and Vitezica, Z. (2015). Manual for BLUPF90 family of program. Accessed Mar 2016.
Morris, A.J. and Pollott, G.E. (1997). Comparison of selection based on phenotype, selection indexand best linear unbiased prediction using data form a closed broiler line. British Poultry Science. 38: 249-254.
Naerls(National Agricultural Extension and Research Liason Services). (2000). Improving the performance of local chickens. Extension bulletin No. 92, Poultry series 6:3.
Ndofor-Foleng, H. M., Ngongeh, L. A., Iberu, C. P. N. and Nwosu, C. C. (2010). Evaluation of the performance of two local chicken and the main cross ecotypes reared in Nsukka, Enugu State, Nigeria. International Journal of science and Nature. 1(2), 179-182.
Nishida, A., Ogawa, T., Kikuchi, Y., Wakoh, K., Suzuki, K., Shibata, T. et al. (2001). A hopeful prospect for genetic improvement of chronic disease resistance in swine. Asian-Australasian J. Anim. Sci. 14: 106-110.
Noda, K., Kino, K., Miyakawa, H., Banba, H. andUmezawa, Y. (2002). Persistency of laying strain building by index selection including oviposition time as selection trait in laying hens. J. Poult. Sci. 39: 140-148.
Notter, D. R. (1999). The importance of genetic diversity in livestock populations of the future. Journal of Animal Science. 77(1):61-9.
Ochsner, K.P. (2016). Development of economic selection indices for beef cattle improvement. Beef Improvement federation annual meeting & symposium, Manhattan, Kansas, USA.
MacNeil, M. D., Nugent,R. A. and Snelling,W. M.(1997). Breeding for Profit: an Introduction to Selection Index Concepts. Range Beef Cow Symposium. Paper 142.
Ogbu, C. C. and Omeje, S. S. I. (2011). Within population variation in performance traits in the Nigerian indigenous chicken (NIC). International Journal of Science and Nature. 2(2): 192-197.
Okpeku, M., Orheruata, M. and Imunorin, I. G. (2003). Phenotype, genetic variation among local chickens in Edo State of Nigeria. Journal Society of Animal Production. 28: 119-127.
R Core Team. (2019). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org
Reist-Marti, S. B., Simianer, H., Gibson. J., Hanotte. O. and Rege, J. E. O. (2003). Weitzman's Approach and Conservation of Breed Diversity: an Application to African Cattle Breeds. Conservation Biology. 17: 1299-1311.
Sargolzaei, M., Iwaisaki, H. and Colleau, J.J. (2006). CFC. A tool for monitoring genetic diversity, 8th WCGALP,Belo Horizonte, Brazil.
Szwaczkowski, T., Cywa-Benko, K., andWezyk, S. (2003). A note on inbreeding effect on productive and reproductive traits in laying hens. Anim. Sci. Papers and Reports. 21(2), 121-129.
Tule, J. J. (2005). Effects of management system and nutrition on the performance of local chicken ecotypes at Nsukka in the derived savannah zone of Nigeria. PhD Thesis. Dept of Animal Science, University of Nigeria, Nsukka.
Vivian, O. O., Nwosu, C. C, Adeolu, A. I., Udeh, I., Uberu, C. P. N. and Ndofor-Foleng, H. M. (2012). Egg Production Performance in a Nigerian Local Chicken Ecotype Subjected to Selection. Journal of Agricultural Science.4(6): 180-186.
Wolanski, N.J., Renema,R.A., Robinson,F.E.,Camey, V.L. andFanchert,B.I. (2007). Relationships among egg characteristics, chick measurements, and early growth traits in ten broiler strains. Poult. Sci. 86: 1784-1792.
Yamada, Y., Yokouchi, K. and Nishida, A. (1975). Selection index when genetic gains of individual traits are of primary concern. Japanese J. Genet. 50(1): 33-41.
Yousefi, A., Alijani, S., Mohammadi, H., Rafat, A. and Daghigh Kia, H. (2013). Estimation of genetic parameters for productive and reproductive traits in Esfahan native chickens. Journal of Livestock Science and Technologies. 1: 34-38.
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