Evaluating the economic profit of reproductive performance through the integration of a dynamic programming model on a specific dairy farm

https://doi.org/10.17221/38/2020-CJASCitation:Krpálková L., O' Mahony N., Carvalho A., Campbell S., Walsh J. (2020): Evaluating the economic profit of reproductive performance through the integration of a dynamic programming model on a specific dairy farm. Czech J. Anim. Sci., 65: 124-134.
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The overall objective of this study was to improve the reproductive efficiency of lactating dairy cows and to improve the resulting total farm profit. The hypothesis is that a dairy farm can substantially improve its economic and environmental performance through increasing pregnancy rate, i.e. increasing the number of eligible cows that become pregnant for a given breeding period. This paper presents a tool which was designed with a view to comparing the reproductive efficiency. The tool was developed using dynamic programming in R (Shiny) and shows the changes in costs, revenues and net return projected for a given change in pregnancy rate. The model calculates from the first day in milk and stops when the last calf was born after successful insemination of each cow. Sensitivity analyses demonstrated that the economic return associated with reproductive performance is greatly affected by the input parameters and therefore real farm and market values are crucial. The average economic gain per percentage point of 21-d (21-day) pregnancy rate (PR) was 14.6 EUR per cow/year. The milk price showed the largest impact on the overall net return. A 10% increase in milk price increased the net return on average by 268 EUR (10% 21-d PR), 292 EUR (20% 21-d PR) and 299 EUR per cow/year (30% 21-d PR). Our study had the same set values of milk yield during lactations for all four evaluated farms and it was found that the milk income over feed cost increased with the reproductive performance in all evaluated farms on an individual cow level. Poor fertility means that cows spend longer producing lower amounts of less efficiently produced milk.

References:
Bekara ME, Bareille N. Quantification by simulation of the effect of herd management practices and cow fertility on the reproductive and economic performance of Holstein dairy herds. J Dairy Sci. 2019 Oct 1;102(10):9435-57. https://doi.org/10.3168/jds.2018-15484
 
Cabrera VE. A simple formulation and solution to the replacement problem: A practical tool to assess the economic cow value, the value of a new pregnancy, and the cost of a pregnancy loss. J Dairy Sci. 2012 Aug 1;95(8):4683-98. https://doi.org/10.3168/jds.2011-5214
 
Cabrera VE. Economics of fertility in high-yielding dairy cows on confined TMR systems. Animal. 2014 May;8(Suppl 1):211-21. https://doi.org/10.1017/S1751731114000512
 
Cattaneo L, Baudracco J, Lazzarini B, Ortega H. Methodology to estimate the cost of delayed pregnancy for dairy cows. An example for Argentina. R Bras Zootec. 2015 Jun;44(6):226-9. https://doi.org/10.1590/S1806-92902015000600005
 
De Vries A. Economics of delayed replacement when cow performance is seasonal. J Dairy Sci. 2004 Sep 1;87(9):2947-58. https://doi.org/10.3168/jds.S0022-0302(04)73426-8
 
De Vries A. Economic value of pregnancy in dairy cattle. J Dairy Sci. 2006 Oct 1;89(10):3876-85. https://doi.org/10.3168/jds.S0022-0302(06)72430-4
 
Ehrlich JL. Quantifying shape of lactation curves, and benchmark curves for common dairy breeds and parities. Bovine Practitioner. 2011 Jan;45(1):88-96.
 
Galvao KN, Federico P, De Vries A, Schuenemann GM. Economic comparison of reproductive programs for dairy herds using estrus detection, timed artificial insemination, or a combination. J Dairy Sci. 2013 Apr 1;96(4):2681-93. https://doi.org/10.3168/jds.2012-5982
 
Giordano JO, Kalantari AS, Fricke PM, Wiltbank MC, Cabrera VE. A daily herd Markov-chain model to study the reproductive and economic impact of reproductive programs combining timed artificial insemination and estrus detection. J Dairy Sci. 2012 Sep 1;95(9):5442-60. https://doi.org/10.3168/jds.2011-4972
 
Grinter LN, Campler MR, Costa JH. Validation of a behavior-monitoring collar’s precision and accuracy to measure rumination, feeding, and resting time of lactating dairy cows. J Dairy Sci. 2019 Apr 1;102(4):3487-94. https://doi.org/10.3168/jds.2018-15563
 
Groenendaal H, Galligan DT, Mulder HA. An economic spreadsheet model to determine optimal breeding and replacement decisions for dairy cattle. J Dairy Sci. 2004 Jul 1;87(7):2146-57. https://doi.org/10.3168/jds.S0022-0302(04)70034-X
 
Kalantari AS, Cabrera VE. The effect of reproductive performance on the dairy cattle herd value assessed by integrating a daily dynamic programming model with a daily Markov chain model. J Dairy Sci. 2012 Oct 1;95(10):6160-70. https://doi.org/10.3168/jds.2012-5587
 
Kalantari AS, Cabrera VE. Stochastic economic evaluation of dairy farm reproductive performance. Can J Anim Sci. 2015 Mar;95(1):59-70. https://doi.org/10.4141/cjas-2014-072
 
Krpalkova L, Cabrera VE, Kvapilik J, Burdych J. Associations of reproduction and health with the performance and profit of dairy cows. Agric Econ – Czech. 2016 Aug 22;62(8):385-94. https://doi.org/10.17221/176/2015-AGRICECON
 
Krpalkova L, Cabrera VE, Zavadilova L, Stipkova M. The importance of hoof health in dairy production. Czech J Anim Sci. 2019 Mar 13;64(3):107-17. https://doi.org/10.17221/27/2018-CJAS
 
Leblanc S. Assessing the association of the level of milk production with reproductive performance in dairy cattle. J Reprod Develop. 2010;56(S):S1-7. https://doi.org/10.1262/jrd.1056S01
 
Lee JI, Kim IH. Pregnancy loss in dairy cows: the contributing factors, the effects on reproductive performance and the economic impact. J Vet Sci. 2007 Sep 1;8(3):283-8. https://doi.org/10.4142/jvs.2007.8.3.283
 
Leroy JL, De Kruif A. Reduced reproductive performance in high producing dairy cows: Is there actually a problem? Vlaams Diergen Tijds. 2006 Mar;75(2):55-60.
 
Meadows C, Rajala-Schultz PJ, Frazer GS. A spreadsheet-based model demonstrating the nonuniform economic effects of varying reproductive performance in Ohio dairy herds. J Dairy Sci. 2005 Mar 1;88(3):1244-54. https://doi.org/10.3168/jds.S0022-0302(05)72791-0
 
Nemeckova D, Stadnik L, Citek J. Associations between milk production level, calving interval length, lactation curve parameters and economic results in Holstein cows. Mljekarstvo: časopis za unaprjeđenje proizvodnje i prerade mlijeka. 2015 Nov 11;65(4):243-50.
 
Olynk NJ, Wolf CA. Stochastic economic analysis of dairy cattle artificial insemination reproductive management programs. J Dairy Sci. 2009 Mar 1;92(3):1290-9. https://doi.org/10.3168/jds.2008-1418
 
Pinedo PJ, De Vries A, Webb DW. Dynamics of culling risk with disposal codes reported by Dairy Herd Improvement dairy herds. J Dairy Sci. 2010 May 1;93(5):2250-61. https://doi.org/10.3168/jds.2009-2572
 
Syrucek J, Barton L, Rehak D, Kvapilik J, Burdych J. Evaluation of economic indicators for Czech dairy farms. Agric Econ – Czech. 2019 Nov 20;65(11):499-508. https://doi.org/10.17221/136/2019-AGRICECON
 
VandeHaar M, Bucholtz H, Beverly R, Emery R, Allen M, Sniffen C, Black R. Spartan dairy ration evaluator/balancer. An agricultural integrated management software microcomputer program. CP-012 Version. 1992;2.
 
Valergakis GE, Arsenos G, Banos G. Comparison of artificial insemination and natural service cost effectiveness in dairy cattle. Animal. 2007 Mar;1(2):293-300. https://doi.org/10.1017/S1751731107340044
 
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