Abstract
Native chicken breeding station of Mazandaran was established in 1988 with two main objectives: genetic improvement through selection programs and dissemination of indigenous Mazandarani birds. (Co)variance components and genetic parameters for economically important traits were estimated using (bi) univariate animal models with ASREML procedure in Mazandarani native chicken. The data were from 18 generations of selection (1988–2009). Heritability estimates for body weight at different ages [at hatch (bw1), 8 (bw8), 12 (bw12) weeks of ages and sex maturation (wsm)] ranged from 0.24 ± 0.00 to 0.47 ± 0.01. Heritability for reproductive traits including age at sex maturation (asm); egg number (en); weight of first egg (ew1); average egg weight at 28 (ew28), 30 (ew30), and 32 (ew32) weeks of age; their averages (av); average egg weight for the first 12 weeks of production (ew12); egg mass (em); and egg intensity (eint) varied from 0.16 ± 0.01 to 0.43 ± 0.01. Generally, the magnitudes of heritability for the investigated traits were moderate. However, egg production traits showed smaller heritability compared with growth traits. Genetic correlations among egg weight at different ages were mostly higher than 0.8. On the one hand, body weight at different ages showed positive and relatively moderate genetic correlations with egg weight traits (ew1, ew28, ew30, ew32, ew12, and av) and varied from 0.30 ± 0.03 to 0.59 ± 0.02. On the other hand, low negative genetic correlations were obtained between body weight traits (bw1, bw8, bw12, and wsm) and egg number (en). Also, there is low negative genetic correlation (−24 ± 0.04 to −29 ± 0.05) between egg number and egg weight. Therefore, during simultaneous selection process for both growth and egg production traits, probable reduction in egg production due to low reduction in egg number may be compensated by increases in egg weight.
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Abdallah, A. G., Harms, R. H. and Russell, G. B., 1995. Effect of age and resting on hens laying eggs with heavy or light shell weight, Journal of Applied Poultry Research, 4, 131–137
Ayyagari, V. S. C., Mohapatra, A., Venkatramaiah, T., Thiagasundaram, D., Choudhuri, D. C., Johri, D. and Renganathan, P., 1980. Selection for egg production on part records, Theoretical and Applied Genetics, 57, 277–283
Besbes, B., Ducrocq, V., Foulley, J. L., Protais, M., Tavernier, A., Tixier-Boichard, M. and Beaumont, C., 1992. Estimation of genetic parameters of egg production traits of laying hens by restricted maximum likelihood applied to a multiple-trait reduced animal model. Genetic Selection Evolution, 24, 539–552
Dana, N., Vander Waaij, E. and Van Arendonk, J., 2011. Genetic and phenotypic parameter estimates for body weights and egg production in Horro chicken of Ethiopia, Tropical Animal Health and Production, 43, 21–28
Danbaro, G., Oyama, K., Mukai, F., Tsuji, S. and Miyata, T., 1996. Estimation of genetic parameters by restricted maximum likelihood under multi-trait animal models in selected layer lines, Japanese Journal of Poultry Science, 33, 185–192
Enayati, B. and Rahimi,G., 2009. Genomic growth hormone, growth hormone receptor and transforming growth factor β-3 gene polymorphism in breeder hens of Mazandaran native fowls, African Journal of Biotechnology, 8, 3154–3159
Engström, G., Liljedahl, L. E., Wilhelmson, M. and Johansson, K., 1992. The pattern of genetic and environmental variation in relation to ageing in laying hens, Genetic selection evolution, 24, 265–275
Fairful, R. W. and Gowe, R. S., 1990. Poultry Breeding and Genetics, (Elsevier Science, Amsterdam)
Falconer, D. S. and Mckay, T. F. C., 1996. Introduction to Quantitative Genetics, (Longman Group, Essex, UK)
Francesch, A., Estany, J., Alfonso, L. and Iglesias, M., 1997. Genetic parameters for egg number, egg weight, and eggshell color in three Catalan poultry breeds, Journal of Poultry Science, 76, 1627–1631
Ghazikhani Shad, A., Nejati Javaremi, A., Mehrabani Yeganeh, H., 2007. Animal model estimation of genetic parameters for most important economic traits in Iranian native fowls, Pakistan Journal of Biological Sciences, 10, 2787–2789
Gilmour, A. R., Gogel, B. J., Cullis, B. R. and Thompson, R., 2006. ASReml User Guide (NSW Department of Primary Industries, Australia)
Henderson, C. R., 1986. Recent developments in variance and covariance estimations. Journal of Animal Science, 63, 208–216
Hicks, C., Muir, W. M. and Stick, D. A., 1998. Selection index updating for maximizing rate of annual genetic gain in laying hens, Journal of Poultry Science, 77, 1–7
Hoffmann, I., 2005. Research and investment in poultry genetic resources-challenges and option for sustainable use. World’s Poultry Science Journal, 61, 57–70
Kamali, M. A., Ghorbani, S. H., Sharbabak, M. M. and Zamiri, M. J., 2007. Heritabilities and genetic correlations of economic traits in Iranian native fowl and estimated genetic trend and inbreeding coefficients, British Poultry Science, 48, 443–448
Khadem, A., Hafezian, H. and Rahimi-Mianji, G., 2010. Association of single nucleotide polymorphisms in IGFI, IGF-II and IGFBP-II with production traits in breeder hens of Mazandaran native fowls breeding station, African Journal of Biotechnology, 9, 805–810
Kianimanesh, H. R; Nejati Javaremi, A; Rahimi, G., 2002. Estimation of economic indices for important production traits of the Iranian native fowls, First seminar on genetics and breeding applied to livestock, Tehran, Iran
Ledur, M. C., Fairfull, R. W., McMillan, I. and Asseltine, L., 2000. Genetic effects of aging on egg production traits in the first laying cycle of White Leghorn strains and strain crosses, Journal of Poultry Science, 79, 296–304
Ledur, M. C., Liljedahl, L. E., McMillan, I., Asselstine, L. and Fairfull, R. W., 2003. Genetic effects of aging on fitness and nonfitness traits in laying hens housed three per cage, Journal of Poultry Science, 82,1223-1234
Lwelamira, J., Kifaro, G. and Gwakisa, P., 2009. Genetic parameters for body weights, egg traits and antibody response against Newcastle Disease Virus (NDV) vaccine among two Tanzania chicken ecotypes, Tropical Animal Health and Production, 41, 51–59
Minga, U., Msoffe, P. L. and Gwakisa, P. S., 2004. Biodiversity (variation) in disease resistance and in pathogens within rural chicken, World Poultry Congress, Istanbul
Norris, D. and Ngambi, J., 2006. Genetic parameter estimates for body weight in local Venda chickens. Tropical Animal Health and Production, 38, 605–609
Poggenpoel, D. G., Ferreira, G. F., Hayes, J. P. and Preez, J. J. d., 1996. Response to long-term selection for egg production in laying hens, British Poultry Science, 37, 743–756
Sabri, H. M., Wilson, H. R., Harms, R. H. and Wilcox, C. J., 1999. Genetic parameters for egg and related characteristics of white Leghorn hens in a subtropical environment, Genetics and Molecular Biology, 22, 183–186
Sang, B. D., Kong, H. S., Kim, H. K., Cho, C. H., Kim, D., Cho, Y. M., Sang, B. C., Lee, J. H., Jeon, G. J. and Lee, H. K., 2006. Estimation of genetic parameters for economic traits in Korean native chickens, Asian-Australasian Journal of Animal Sciences, 19, 319–323
Sharma, D., Johari, D. C., Kataria, M. C., Singh, B. P., Singh, D. P. and Hazary, R. C., 1996. Effect of long term selection on genetics of economic traits in white leghorn, Asian-Australasian Journal of Animal Sciences, 9, 455–459
Wolk, A. and Szwaczkowski, K., 2009. Estimation of genetic parameters for monthly egg production in laying hens based on random regression models, Journal of Applied Genetics, 50, 41–46
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We sincerely thank the farm attendants who worked on data collection at the breeding station of Mazandaran native chicken. Thanks are also extended to two anonymous reviewers for their valuable comments on a previous version of this manuscript.
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Niknafs, S., Nejati-Javaremi, A., Mehrabani-Yeganeh, H. et al. Estimation of genetic parameters for body weight and egg production traits in Mazandaran native chicken. Trop Anim Health Prod 44, 1437–1443 (2012). https://doi.org/10.1007/s11250-012-0084-6
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DOI: https://doi.org/10.1007/s11250-012-0084-6