Animal Bioscience

Asian Australasian Association of Animal Production Societies (아세아태평양축산학회)
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Evaluation of models for estimation of genetic parameters for post-weaning body measurements and their association with yearling weight in Nellore sheep

  • Satish Kumar Illa (Livestock Research Station, Sri Venkateswara Veterinary University) ;
  • Gangaraju Gollamoori (College of Veterinary Science, Sri Venkateswara Veterinary University) ;
  • Sapna Nath (Sri Venkateswara Veterinary University, Livestock Research Station)
  • Received : 2020.06.20
  • Accepted : 2020.11.18
  • Published : 2024.03.01
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Abstract

Objective: The objective of this study was to obtain (co) variance components and genetic parameter estimates for post-weaning body measurements such as body length (BL), height at withers (HW), and chest girth (HG) recorded at six (SBL, SHW, and SHG), nine (NBL, NHW, and NHG) and twelve (YBL, YHW, and YHG) months of age along with yearling weight (YW) in Nellore sheep maintained at livestock research station, Palamaner, Andhra Pradesh, India and also the association among body measurements with YW was studied. Methods: Data on 2,076 Nellore sheep (descended from 75 sires and 522 dams) recorded between 2007 and 2016 (10 years) were utilized in the study. Lambing year, sex of lamb, season of lambing and parity of dam were included in the model as fixed effects and ewe weight was kept as a covariate. Analyses were conducted with six animal models with different combinations of direct and maternal genetic effects using restricted maximum likelihood procedure. Best model for each trait was determined based on Akaike's information criterion. Results: Moderate estimates of direct heritability were obtained for the studied traits viz., BL (0.02 to 0.24), HW (0.31 to 0.49), and CG (0.08 to 0.35) and their corresponding maternal heritability estimates were in the range of 0.00 to 0.07 (BL), 0.13 to 0.17 (HW), and 0.07 to 0.13 (CG), respectively. Positive direct genetic and phenotypic correlations among the traits and they ranged from 0.07 (YBL-YW) to 0.99 (SBL-SHG, SHG-YW, and NBL-YBL) and 0.01 (SBL-YBL) to 0.99 (NBL-NHG), respectively. Further, the genetic correlations among all the body measurements and YW were positive and ranged from 0.07 (YW and YBL) to 0.99 (YW and SHG). Conclusion: There was a strong association of chest girth at six months with YW. Further, it is indicated that moderate improvement of post-weaning body measurements in Nellore sheep would be possible through selection.

Keywords

Acknowledgement

We acknowledge the guidance provided by ICAR-NWPSI Project Coordination cell, CSWRI, Avikanagar, Rajasthan, India and Sri Venkateswara Veterinary University, Tirupati, Andhra Pradesh, India.

References

  1. Livestock Census: [internet]. Krishi Bhawan, New Delhi, India: Ministry of Agriculture Department of Animal Husbandry, Dairying and Fisheries India; 2012 [cited 2020 June 19]. http://livestockcensus.gov.in/
  2. Mandal A, Dass G, Rout PK, Roy R. Genetic parameters for direct and maternal effects on post-weaning body measurements of Muzaffarnagari sheep in India. Trop Anim Health Prod 2011;43:675-83. https://doi.org/10.1007/s11250-010-9752-6
  3. Jafari S, Hashemi A. Estimation of genetic parameters for body measurements and their association with yearling liveweight in the Makuie sheep breed. S Afr J Anim Sci 2014;44:140-7. https://doi.org/10.4314/sajas.v44i2.6
  4. Bakhshalizadeh S, Hashemi A, Gaffari M, Jafari S, Farhadian M. Estimation of genetic parameters and genetic trends for biometric traits in Moghani sheep breed. Small Rumin Res 2016;134:79-83. https://doi.org/10.1016/j.smallrumres.2015.12.030
  5. Snyman MA, Erasmus GJ, Van Wyk JB, Olivier JJ. Direct and maternal (co)variance components and heritability estimates for body weight at different ages and fleece traits in Afrino sheep. Livest Prod Sci 1995;44:229-35. https://doi.org/10.1016/0301-6226(95)00071-2
  6. Abegaz S, Van Wyk JB, Olivier JJ. Model comparisons and genetic and environmental parameter estimates of growth and the Kleiber ratio in Horro sheep. S Afr J Anim Sci 2005;35:30-40. https://doi.org/10.4314/sajas.v35i1.4046
  7. Kushwaha BP, Mandal A, Arora AL, Kumar R, Kumar S, Notter DR. Direct and maternal (co)variance components and heritability estimates for body weights in Chokla sheep. J Anim Breed Genet 2009;126:278-87. https://doi.org/10.1111/j.1439-0388.2008.00771.x
  8. Bahreini-Behzadi MR, Aslaminejad AA, Sharifi AR, Simianer H. Comparison of mathematical models for describing the growth of Baluchi sheep. J Agric Sci Technol 2014;14:57-68.
  9. Singh H, Pannu U, Narula HK, Chopra A, Naharwara V, Bhakar SK. Estimates of (co) variance components and genetic parameters of growth traits in Marwari sheep. J Appl Anim Res 2016;44:27-35. https://doi.org/10.1080/09712119.2014.987291
  10. Kumar S, Kumar V, Gangaraju G, Nath S, Thiruvenkadan AK. Estimates of direct and maternal (co) variance components as well as genetic parameters of growth traits in Nellore sheep. Trop Anim Health Prod 2017;49:1431-8. https://doi.org/10.1007/s11250-017-1344-2
  11. Illa SK, Gollamoori G, Nath S. Direct and maternal variance components and genetic parameters for average daily body weight gain and Kleiber ratios in Nellore sheep. Trop Anim Health Prod 2019;51:155-63. https://doi.org/10.1007/s11250-018-1670-z
  12. Rajkumar V, Agnihotri MK, Das AK, Ramachandran N, Singh D. Effect of age on carcass characteristics and meat quality of Sirohi goat kids reared under semi-intensive and intensive management systems. Indian J Anim Sci 2010;80:775-80.
  13. Sasimowski E. Animal breeding and production an outline. Amsterdam, The Netherlands: Elsevier; 1987.
  14. IBM Corp, 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY, USA: IBM Corp; 2017.
  15. Al-Shorepy SA. Estimates of genetic parameters for direct and maternal effects on birth weight of local sheep in United Arab Emirates. Small Rumin Res 2001;39:219-24. https://doi.org/10.1016/S0921-4488(00)00206-6
  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. WOMBAT-a tool for mixed model analyses in quantitative genetics by REML. J Zhejiang Univ Sci B 2007;8:815-21. https://doi.org/10.1631/jzus.2007.B0815
  18. Akaike H. A new look at the statistical model identification. IEEE Trans Automat Contr 1974;19:716-23. https://doi.org/10.1109/TAC.1974.1100705
  19. Fourie PD, Kirton AH, Jury KE. Growth and development of sheep: II. Effect of breed and sex on the growth and carcass composition of the Southdown and Romney and their cross. NZ J Agric Res 1970;13:753-70. https://doi.org/10.1080/00288233.1970.10430508
  20. Ermias E, Rege JEO. Characteristics of live animal allometric measurements associated with body fat in fat-tailed sheep. Livest Prod Sci 2003;81:271-81. https://doi.org/10.1016/S0301-6226(02)00256-7
  21. Alfolyan RA, Adeyinka IA, Lakpini CAM. The estimation of live weight from body measurements in Yankasa sheep. Czech J Anim Sci 2006;51:343-8. https://doi.org/10.17221/3948-CJAS
  22. Salako AE. Application of morphological indices in the assessment of type and function in sheep. Int J Morphol 2006;24:13-8. https://doi.org/10.4067/S0717-95022006000100003
  23. Jafari S, Hashemi A, Darvishzadeh R, Manafiazar G. Genetic parameters of live body weight, body measurements, greasy fleece weight, and reproduction traits in Makuie sheep breed. Span J Agric Res 2014;12:653-63. https://doi.org/10.5424/sjar/2014123-4564
  24. Ghavi Hossein-Zadeh N, Ghahremani D. Bayesian estimates of genetic parameters and genetic trends for morphometric traits and their relationship with yearling weight in Moghani sheep. Ital J Anim Sci 2018;17:586-92. https://doi.org/10.1080/1828051X.2017.1403296
  25. Janssens S, Vandepitte W. Genetic parameters for body measurements and linear type traits in Belgian Bleu du Maine, Suffolk and Texel sheep. Small Rumin Res 2004;54:13-24. https://doi.org/10.1016/j.smallrumres.2003.10.008
  26. Horstick, A. Population genetic investigation of milk production and conformation characteristics in East Frisian and black-brown dairy sheep [Doctoral dissertation]. Hannover, Germany: Tierarztl. Hochsch; 2001.
  27. Figueiredo Filho LA, Do OAO, Sarmento JL, Santos NP, Torres TS. Genetic parameters for carcass traits and body size in sheep for meat production. Trop Anim Health Prod 2016; 48:215-8. https://doi.org/10.1007/s11250-015-0921-5
  28. Oliveira EJ, El-Faro L, Freitas AP, et al. Genetic association between body measurements and weight in Santa Ines sheep. Proceedings of the 10th World Congress of Genetics Applied to Livestock Production 2014; 2014 Aug 17-22, Vancouver, BC, Canada.
  29. Abbasi MA, Ghafouri-Kesbi F. Genetic (co) variance components for body weight and body measurements in Makooei sheep. Asian-Australas J Anim Sci 2011;24:739-43. https://doi.org/10.5713/ajas.2011.10277
  30. Gad SMA. Estimation of genetic parameters for body measurements and their relationship with body weight in Barki lambs. J Anim Poult Prod 2014;5:517-23. https://doi.org/10.21608/JAPPMU.2014.70617
  31. Falconer Douglas Scott. Introduction to quantitative genetics. Harlow, England: Pearson Education India; 1996.
  32. Matiatis N, Pollott GE. The impact of data structure on genetic (co)variance components of early growth in sheep, estimated using an animal model with natural effects. J Anim Sci 2003;81:101-8. https://doi.org/10.2527/2003.811101x
  33. Blackmore DW, Mc Gilliard LD, Lush JL. Genetic relationship between body measurements at three ages in Holsteins. J Dairy Sci 1958;41:1045-9. https://doi.org/10.3168/jds.S0022-0302(58)91048-8