Animal Bioscience

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Variance component analysis of growth and production traits in Vanaraja male line chickens using animal model

  • Received : 2019.10.22
  • Accepted : 2020.03.26
  • Published : 2021.04.01
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Abstract

Objective: A comprehensive study was conducted to study the effects of partition of variance on accuracy of genetic parameters and genetic trends of economic traits in Vanaraja male line/project directorate-1 (PD-1) chicken. Methods: Variance component analysis utilizing restricted maximum likelihood animal model was carried out with five generations data to delineate the population status, direct additive, maternal genetic, permanent environmental effects, besides genetic trends and performance of economic traits in PD-1 chickens. Genetic trend was estimated by regression of the estimated average breeding values (BV) on generations. Results: The body weight (BW) and shank length (SL) varied significantly (p≤0.01) among the generations, hatches and sexes. The least squares mean of SL at six weeks, the primary trait was 77.44±0.05 mm. All the production traits, viz., BWs, age at sexual maturity, egg production (EP) and egg weight were significantly influenced by generation. Model four with additive, maternal permanent environmental and residual effects was the best model for juvenile growth traits, except for zero-day BW. The heritability estimates for BW and SL at six weeks (SL6) were 0.20±0.03 and 0.17±0.03, respectively. The BV of SL6 in the population increased linearly from 0.03 to 3.62 mm due to selection. Genetic trend was significant (p≤0.05) for SL6, BW6, and production traits. The average genetic gain of EP40 for each generation was significant (p≤0.05) with an average increase of 0.38 eggs per generation. The average inbreeding coefficient was 0.02 in PD-1 line. Conclusion: The population was in ideal condition with negligible inbreeding and the selection was quite effective with significant genetic gains in each generation for primary trait of selection. The animal model minimized the over-estimation of genetic parameters and improved the accuracy of the BV, thus enabling the breeder to select the suitable breeding strategy for genetic improvement.

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References

  1. Tercic D. Divergent selection experiments in poultry. Slov Vet Res 2013;50:139-44.
  2. Rajkumar U, Padhi MK, Haunshi S, Chatterjee RN. Genetic and phenotypic response in Vanaraja Male line chicken under short term selection experiment. Indian J Anim Sci 2016;86:1287-90.
  3. Kruuk LEB, Hadfield JD. How to separate genetic and environmental causes of similarity between relatives. J Evol Biol 2007;20:1890-903. https://doi.org/10.1111/j.1420-9101.2007.01377.x
  4. Grosso JLBM, Balieiro JCC, Eler JP, Ferraz JBS, Mattos EC, Filho TM. Comparison of different models to estimate genetic parameters for carcass traits in a commercial broiler line. Genet Mol Res 2010;9:908-18. https://doi.org/10.4238/vol9-2gmr773
  5. Mohammadi A, Naderi Y, Nabavi R, Jafari F. Determination of the best model for estimation of genetic parameters on the Fars native chicken traits using Bayesian and REML methods. Genetika 2018;50:431-47. https://doi.org/10.2298/GENSR1802431M
  6. Ghorbani S, Kamali MA, Abbasi MA, Ghafouri KF. Estimation of maternal effects on some economic traits of north Iranian native fowls using different models. J Agric Sci Technol 2012;14:95-103. https://doi.org/10.3969/j.issn.1008-0864.2012.02.15
  7. Jahanian R, Goudarzi F. Effects of maternal factors on day-old chick body weight and its relationship with weight at six weeks of age in a commercial broiler line. Asian-Australas J Anim Sci 2010;23:302-7. https://doi.org/10.5713/ajas.2010.90325
  8. Rajkumar U, Sharma RP, Padhi MK, et al. Genetic analysis of juvenile growth and carcass traits in a full diallel mating in selected colored broiler lines. Trop Anim Health Prod 2011;43:1129-36. https://doi.org/10.1007/s11250-011-9812-6
  9. Rajkumar U, Rajaravindra KS, Haunshi S, Niranjan M, Bhattacharya TK, Chatterjee RN. Genetic architecture of growth and production parameters in a laying cycle of 72 weeks in naked neck chickens. Indian J Anim Sci 2012;82:615-9.
  10. Haunshi S, Shanmugam M, Padhi MK, et al. Evaluation of two Indian native chicken breeds for reproduction traits and heritability of juvenile growth traits. Trop Anim Health Prod 2012;44:969-73. https://doi.org/10.1007/s11250-011-9994-y
  11. Haunshi, S, Padhi MK, Chatterjee RN, Bhattacharya TK, Rajaravindra KS. Genetic characterization of layer germplasm evolved by AICRP on poultry breeding. Indian J Anim Sci 2016;86:1431-5.
  12. Kamali MA, Ghorbani SH, Sharbabak MM, Zamiri MJ. Heritabilities and genetic correlations of economic traits in Iranian native fowl and estimated genetic trend and inbreeding coefficients. Br Poult Sci 2007;48:443-8. https://doi.org/10.1080/00071660701505013
  13. Padhi MK, Chatterjee RN, Haunshi S, Rajkumar U, Bhattacharya TK, Bhanja SK. Evaluation of male line of Vanaraja (PD1), Vanaraja and control broiler in respect to juvenile traits and genetic analysis of juvenile traits in PD1. Indian J Anim Sci 2015;85:991-5.
  14. Nath M, Singh BP, Saxena VK, Singh RV. Analyses of crossbreeding parameters for juvenile body weight in broiler chicken. J Appl Anim Res 2007;32:101-6. https://doi.org/10.1080/09712119.2007.9706856
  15. Meyer K. WOMBAT-a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML). J Zhejiang Univ Sci B 2007;8:815-21. https://doi.org/10.1631/jzus.2007.B0815
  16. Willham RL. The role of maternal effects in animal breeding: III. Biometrical aspects of maternal effects in animals. J Anim Sci 1972;35:1288-93. https://doi.org/10.2527/jas1972.3561288x
  17. Meyer K. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livest Prod Sci 1992;31:179-204. https://doi.org/10.1016/0301-6226(92)90017-X
  18. Wilson AJ, Reale D, Clements MN, et al. An ecologist's guide to the animal model. J Anim Ecol 2010;79:13-26. https://doi.org/10.1111/j.1365-2656.2009.01639.x
  19. Snedecor GW, Cochran WG. Statistical methods. 8th ed. IA, USA: Iowa State University Press; 1989.
  20. Rajkumar U, Haunshi S, Paswan C, Raju MVLN, Rama Rao SV, Chatterjee RN. Characterization of indigenous Aseel chicken breed for morphological, growth, production, and meat composition traits from India. Poult Sci 2017;96:2120-6. https://doi.org/10.3382/ps/pew492
  21. Reddy BLN, Chatterjee RN, Rajkumar U, Niranjan M, Rajaravindra KS, Bhattacharya TK. Genetic evaluation of short-term selection in synthetic coloured broiler male and female lines-direct and correlated responses. Indian J Anim Sci 2013;83:285-9.
  22. Leeson S, Atteh JO, Summers JD. The replacement value of canola meal for soybean meal in poultry diets. Can J Anim Sci 1987;67:151-8. https://doi.org/10.4141/cjas87-017
  23. Reddy BLN, Panda AK, Reddy MR, Rama Rao SV, Praharaj NK. Studies on the influence of Juvenile growth traits on laying performance in egg type chickens. Indian J Poult Sci 2001;36:290-3.
  24. Prado-Gonzalez EA, Ramirez-Avila L, Segura-Correa JC. Genetic parameters for body weights of Creole chickens from southeastern Mexico using an animal model. Livest Res Rural Dev 2003;15:59-64.
  25. Kranis A, Hocking PM, Hill WG, Woolliams JA. Genetic parameters for a heavy female turkey line: impact of simultaneous selection for body weight and total egg number. Br Poult Sci 2006;47:685-93. https://doi.org/10.1080/00071660601053304
  26. Jasouri M, Zamani P, Alijani S. Dominance genetic and maternal effects for genetic evaluation of egg production traits in dual-purpose chickens. Br Poult Sci 2017;58:498-505. https://doi.org/10.1080/00071668.2017.1336748
  27. Norris D, Ngambi JW. Genetic parameter estimates for body weight in local Venda chickens. Trop Anim Health Prod 2006;38:605-9. https://doi.org/10.1007/s11250-006-4420-6
  28. Yousefi Zonuz A, Alijani S, Rafat SA, Abbasi MA, Daghigh Kia H. Estimation of maternal effects on the north-Iranian native chicken traits using Bayesian and REML methods. Slovak J Anim Sci 2013;46:52-60.
  29. Rahmanian A, Hafezian H, Rahimi GH, Farhadi A, Baneh H. Inbreeding depression for economically important traits of Mazandaran native fowls. Br Poult Sci 2015;56:22-9. https://doi.org/10.1080/00071668.2014.989490
  30. Niknafs S, Abdi H, Fatemi SA, Zandi MB, Baneh H. Genetic trend and inbreeding coefficients effects for growth and reproductive traits in Mazandaran indigenous chicken. J Biol 2013;3:25-31.

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