DOI QR코드

DOI QR Code

Models Describing Growth Characteristics of Holstein Dairy Cows Raised in Korea

  • Vijayakumar, Mayakrishnan (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Choy, Yun-Ho (Animal Breeding and Genetics Division, National Institute of Animal Science, Rural Development Administration) ;
  • Kim, Tae-Il (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Lim, Dong-Hyun (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Park, Seong-Min (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Alam, Mahboob (Animal Breeding and Genetics Division, National Institute of Animal Science, Rural Development Administration) ;
  • Choi, Hee-Chul (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Ki, Kwang-Seok (Dairy Science Division, National Institute of Animal Science, Rural Development Administration) ;
  • Lee, Hyun-Jeong (Dairy Science Division, National Institute of Animal Science, Rural Development Administration)
  • Received : 2020.09.08
  • Accepted : 2020.09.17
  • Published : 2020.09.29

Abstract

The objective of the present study was to determine the best model to describe and quantify the changes in live body weight, height at withers, height at rump, body length and chest girth of Holstein cows raised under Korean feeding conditions for 50 months. The five standard growth models namely polynomial linear regression models, regression of growth variables on the first and second-order of ages in days (model 1) and regression of growth variables on age covariates from first to the third-order (model 2) as well as non-linear models were fitted and evaluated for representing growth pattern of Holstein cows raised in Korean feeding circumstances. Nonlinear models fitted were three exponential growth curve models; Brody, Gompertz, and von Bertalanffy functional models. For this purpose, a total of 22 Holstein cows raised in Korea used in the period from April 2016 to May 2020. Each model fitted to monthly growth curve records of dairy cows by using PROC NLIN procedure in SAS program. On the basis of the results, nonlinear models showed the lower root mean square of error (RMSE) for live body weight, height at withers, height at rump, body length and chest girth (12.22, 1.95, 1.55, 4.04, 2.06) with higher correlation coefficiency (R2) values for live body weight, height at withers, height at rump, body length and chest girth (0.99, 0.99, 0.99, 1.00, 1.00). Overall, the evaluation of the different growth models indicated that the Gompertz model used in the study seemed to be the most appropriate one for standard growth of Holstein cows raised under Korean feeding system.

Keywords

References

  1. Anderson, N. 2008. Dairy cow comfort tie stall dimensions. Infosheet January 2008, OMAFRA, Ontario, Ministry of Agriculture, Food and Rural Affairs, Guelph, ON, Canada.
  2. Aziz, M.A., Shalaby, N.A., El-Shafie, O.M., Mahdy, A.T. and Nishida, A. 2006. Comparison between the shapes of lactation curve of Egyptian buffalo milk yield estimated by the incomplete gamma function and a new model. Livestock Research for Rural Development. 18:1-9.
  3. Bahreini-Behzadi, M.R., Aslaminejad, A.A., Sharifi, A.R. and Simianer, H. 2014. Comparison of mathematical models for describing the growth of Baluchi sheep. Journal of Agricultural Science and Technology. 16:57-68.
  4. Bene, S., Nagy, B., Nagy, L., Kiss, B., Polgar, J.P. and Szabo, F. 2007. Comparison of body measurements of beef cows of different breeds. Archives of Animal Breeding(Ach. Tierz. Dummerstorf). 50:363-373. https://doi.org/10.5194/aab-50-363-2007
  5. Brody, S. 1945. Bioenergetics and growth: With special reference to the efficiency complex in domestic animals. Rheinhold Publishing, New York, USA. pp. 1-1023.
  6. Brown, J.E., Fitzhugh Jr, H.A. and Cartwright, T.C. 1976. A comparison of nonlinear models for describing weight-age relationships in cattle. Journal of Animal Science. 42:810-818. https://doi.org/10.2527/jas1976.424810x
  7. Darmani-Kuhi, H., Porter, T., Lopez, S., Kebreab, E., Strathe, A.B., Dumas, A., Dijkstra, J. and France, J. 2010. A review of mathematical functions for the analysis of growth in poultry. World's Poultry Science Journal. 66:227-240. https://doi.org/10.1017/s0043933910000280
  8. Engelken, T.J. 2008. Developing replacement beef heifers. Theriogenology. 70:569-572. https://doi.org/10.1016/j.theriogenology.2008.05.032
  9. Fathi-Nasri, M.H., France, J., Odongo, N.E., Lopez, S., Bannink, A. and Kebreab, E. 2008. Modelling the lactation curve of dairy cows using the differentials of growth functions. The Journal of Agricultural Science. 146:633-641. https://doi.org/10.1017/s0021859608008101
  10. Fitzhugh, H.A. 1976. Analysis of growth-curves and strategies for altering their shape. Journal of Animal Science. 42:1036-1051. https://doi.org/10.2527/jas1976.4241036x
  11. Freitas, A.R. 2005. Curvas de crescimento na producao animal. Revista Brasileira de Zootecnia. 34:786-795. https://doi.org/10.1590/S1516-35982005000300010
  12. National Institute of Animal Science. 2017. Korean feeding standard. pp. 200-234.
  13. Laird, A.K. 1965. Dynamics of relative growth. Growth. 29:249-263.
  14. Lesosky, M., Dumas, S., Conradie, I., Handel, I.G., Jennings, A., Thumbi, S., Toye, P. and Bronsvoort, B.M. 2012. A live weight-chest girth relationship for accurate dosing of east African shorthorn zebu cattle. Tropical Animal Health Production. 45:311-316. https://doi.org/10.1007/s11250-012-0220-3
  15. Lopez, S., France, J., Odongo, N.E., McBride, R.A., Kebreab, E., Al-Zahal, O., McBride, B.W. and Dijkstra, J. 2015. On the analysis of Canadian Holstein dairy cow lactation curves using standard growth functions. Journal of Dairy Science. 98:2701-2712. https://doi.org/10.3168/jds.2014-8132
  16. Lukuyu, M.N., Gibson, J.P., Savage, D.B., Duncan, A.J., Mujibi, F.D.N. and Okeyo, A.M. 2016. Use of body linear measurements to estimate live weight of crossbred dairy cattle in smallholder farms in Kenya. Springer Plus. 5:1-14. https://doi.org/10.1186/s40064-015-1659-2
  17. Marinho, K.N.S., Freitas, A.R., Falcao, A.J.S. and Dias, F.E.F. 2013. Nonlinear models for fitting growth curves of Nellore cows reared in the Amazon Biome. Revista Brasileira de Zootecnia. 42:645-650. https://doi.org/10.1590/S1516-35982013000900006
  18. Souza, L.A., Caires, D.N., Carneiro, P.L.S., Malhado, C.H.M. and Filho, R.M. 2010. Curvas de crescimento em bovinos da raca Indubrasil criados no Estado do Sergipe. Revista Ciencia Agronomica. 41:671-676. https://doi.org/10.1590/S1806-66902010000400022
  19. Vazquez, J.A., Lorenzo, J.M., Fucinos, P. and Franco, D. 2012. Evaluation of non-linear equations to model different animal growths with mono and bisigmoid profiles. Journal of Theoretical Biology. 314:95-105. https://doi.org/10.1016/j.jtbi.2012.08.027
  20. Von Bertalanffy, L. 1957. Quantitative laws in metabolism and growth. The Quarterly Review of Biology. 32:217-231. https://doi.org/10.1086/401873
  21. Won, J.I., Lim, H.J., Kim, T.I., Park, J.J., Dang, C.G. and Yoon, H.B. 2017. Estimation of growth curve parameters for evaluation of growth characteristics of Korean holstein cow. Journal of Agriculture & Life Science. 51:135-140. https://doi.org/10.14397/jals.2017.51.2.135