3,908
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

Application of growth models to describe the lactation curves for test-day milk production in Holstein cows

Pages 145-151 | Received 19 Mar 2015, Accepted 10 Nov 2015, Published online: 20 Jan 2016

References

  • Banos G, Coffey MP, Wall E, Brotherstone S. 2006. Genetic relationship between first-lactation body energy and later-life udder health in dairy cattle. J Dairy Sci. 89:2222–2232. doi:10.3168/jds.S0022-0302(06)72293-7
  • Burnham KP, Anderson DR. 2002. Model selection and multimodel inference: a practical–theoretic approach. 2nd ed. Berlin: Springer-Verlag.
  • Collard BL, Boettcher PJ, Dekkers JCM, Petitclerc D, Schaeffer LR. 2000. Relationships between energy balance and health traits of dairy cattle in early lactation. J Dairy Sci. 83:2683–2690. doi:10.3168/jds.S0022-0302(00)75162-9
  • Dekkers JCM, Jamrozik J, Ten Hag JH, Schaeffer LR, Weersink A. 1996. Genetic and economic evaluation of persistency in dairy cattle. Interbull Bull. 12:97–102.
  • Dekkers JCM, Ten Hag JH, Weersink A. 1998. Economic aspects of persistency of lactation in dairy cattle. Livest Prod Sci. 53:237–252. doi:10.1016/S0301-6226(97)00124-3
  • Dijkstra J, France J, Dhanoa MS, Maas JA, Hanigan MD, Rook AJ, Beever DE. 1997. A model to describe growth patterns of the mammary gland during pregnancy and lactation. J Dairy Sci. 80:2340–2354. doi:10.3168/jds.S0022-0302(97)76185-X
  • Dimauro C, Cappio-Borlino A, Macciotta NPP, Pulina G. 2007. Use of a computer-aided design to develop a stress simulation model for lactating dairy sheep. Livest Prod Sci. 106(2–3):200–209. doi:10.1016/j.livsci.2006.08.005
  • Fathi Nasri MH, France J, Odongo NE, Lopez S, Bannink A, Kebreab E. 2008. Modelling the lactation curve of dairy cows using the differentials of growth functions. J Agr Sci. 146:633–641. doi:10.1017/S0021859608008101
  • Ferreira EB, Bearzoti E. 2003. Comparação de métodos no ajustamento de curvas de lactação de bovinos por meio de simulação. Ciênc Agrotec. 24:865–872. doi: 10.1590/S1413-70542003000400019
  • Fitzhugh HA. 1976. Analysis of growth curves and strategies for altering their shape. J Anim Sci. 42:1036–1051.
  • France J, Thornley JHM. 1984. Mathematical models in agriculture. London: Butterwoths.
  • Gaines WL. 1928. The energy basis of measuring milk yield in dairy cows. Illinois agricultural experiment station bulletin 308. Urbana: University of Illinois.
  • Gengler N. 1996. Persistency of lactation yields: a review. Interbull Bull. 12:87–95.
  • Ghavi Hossein-Zadeh N. 2012. Estimation of genetic parameters and trends for energy-corrected 305-d milk yield in Iranian Holsteins. Arch Tierz. 55:420–426.
  • Ghavi Hossein-Zadeh N. 2013. Effects of main reproductive and health problems on the performance of dairy cows: a review. Span J Agric Res. 11(3):718–735. doi:10.5424/sjar/2013113-4140
  • Ghavi Hossein-Zadeh N. 2014. Comparison of non-linear models to describe the lactation curves of milk yield and composition in Iranian Holsteins. J Agr Sci 152:309–324. doi:10.1017/S0021859613000415
  • Hüttmann H, Stamer E, Junge W, Thaller G, Kalm E. 2009. Analysis of feed intake and energy balance of high-yielding first lactating Holstein cows with fixed and random regression models. Animal. 3:181–188. doi:10.1017/S175173110800325X
  • Ingvartsen KL, Andersen JB. 2000. Integration of metabolism and intake regulation: a review focusing on periparturient animals. J Dairy Sci. 83:1573–1597. doi:10.3168/jds.S0022-0302(00)75029-6
  • Johansson I, Hansson A. 1940. Causes of variation in milk and butterfat yield on dairy cows. Kongl Landtbruks-akademiens handlingar och tidskrift. 79:1–127.
  • Landete-Castillejos T, Gallego L. 2000. The ability of mathematical models to describe the shape of lactation curves. J Anim Sci. 78:3010–3013.
  • Lopez S, France J, Gerrits WJ, Dhanoa MS, Humphries DJ, Dijkstra J. 2000. A generalized Michaelis–Menten equation for the analysis of growth. J Anim Sci. 78:1816–1828.
  • Lopez S, Prieto M, Dijkstra J, Dhanoa MS, France J. 2004. Statistical evaluation of mathematical models for microbial growth. Int J Food Microbiol. 96:289–300. doi:10.1016/j.ijfoodmicro.2004.03.026
  • Papajcsik IA, Bodero J. 1988. Modeling lactation curves of Friesian cow in a subtropical climate. Anim Prod. 47:201–207. doi:10.1017/S0003356100003275
  • Pollott GE. 2000. A biological approach to lactation curve analysis for milk yield. J Dairy Sci. 83:2448–2458. doi:10.3168/jds.S0022-0302(00)75136-8
  • Pulina G, Nudda A. 2001. La produzione del latte. In: Pulina G, editor, L'alimentazione degli ovini da latte. Bologna: Avenue Media; p. 9–31.
  • Rook AJ, France J, Dhanoa MS. 1993. On the mathematical description of lactation curves. J Agr Sci. 121:97–102. doi:10.1017/S002185960007684X
  • SAS. 2002. SAS User's guide v. 9.1: Statistics. Cary (NC): SAS Institute, Inc.
  • Sjaunja LO, Baevre L, Junkkarinen L, Pedersen J, Setälä J. 1990. A Nordic proposal for an energy corrected milk (ECM) formula. Paper presented at Proceedings of the 27th Biennial Session of the International Committee for Animal Recording (ICAR); 2–6 July, Paris, France. EAAP publication no. 50.
  • Tekerli M, Akinci Z, Dogan I, Akcan A. 2000. Factors affecting the shape of lactation curves of Holstein cows from the Balikesir province of Turkey. J Dairy Sci. 83:1381–1386. doi:10.3168/jds.S0022-0302(00)75006-5
  • Thornley JHM, France J. 2007. Mathematical models in agriculture, 2nd ed. Wallingford: CABI Publishing.
  • Vargas B, Koops WJ, Herrero M, Van Arendonk JAM. 2000. Modeling extended lactations of dairy cows. J Dairy Sci. 83:1371–1380. doi:10.3168/jds.S0022-0302(00)75005-3
  • Weller JI, Ezra E, Leitner G. 2006. Genetic analysis of persistency in the Israeli Holstein population by the multitrait animal model. J Dairy Sci. 89:2738–2746. doi:10.3168/jds.S0022-0302(06)72350-5
  • Wood PDP. 1967. Algebraic models of the lactation curves in cattle. Nature. 216:164–165. doi:10.1038/216164a0