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Economics of fertility in high-yielding dairy cows on confined TMR systems

Published online by Cambridge University Press:  28 March 2014

V. E. Cabrera
V. E. Cabrera*
Affiliation:
Department of Dairy Science, University of Wisconsin-Madison, 1675 Observatory Drive, MadisonWI 53706, USA
*
†E-mail: [email protected]
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Abstract

The objective of this review paper was to summarise the latest findings in dairy cattle reproductive economics with an emphasis on high yielding, confined total mixed ration systems. The economic gain increases as the reproductive efficiency improves. These increments follow the law of diminishing returns, but are still positive even at high reproductive performance. Reproductive improvement results in higher milk productivity and, therefore, higher milk income over feed cost, more calf sales and lower culling and breeding expenses. Most high-yielding herds in the United States use a combination of timed artificial insemination (TAI) and oestrous detection (OD) reproductive programme. The ratio of achievable pregnancies between OD and TAI determines the economic value difference between both and their combinations. Nonetheless, complex interactions between reproductive programme, herd relative milk yield, and type of reproductive programme are reported. For example, higher herd relative milk yield would favour programme relying more on TAI. In addition, improved reproductive efficiency produces extra replacements. The availability of additional replacements could allow more aggressive culling policies (e.g. less services for non-pregnant cows) to balance on-farm supply and demand of replacements. Balancing heifer replacement availability in an efficient reproductive programme brings additional economic benefits. New technologies such as the use of earlier chemical tests for pregnancy diagnosis could be economically effective depending on the goals and characteristics of the farm. Opportunities for individual cow reproductive management within defined reproductive programme exist. These decisions would be based on economic metrics derived from the value of a cow such as the value of a new pregnancy, the cost of a pregnancy loss, or the cost of an extra day open.

Keywords

reproductive economicssimulationmodellingnet returnreproductive programme
Type
Full Paper
Information
animal , Volume 8 , Supplement s1: New Science ‐ New Practices International Cow Fertility Conference 18‐21 May 2014, Westport, Ireland , May 2014 , pp. 211 - 221
Copyright
© The Animal Consortium 2014 

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References

Cabrera, VE 2012. 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. Journal of Dairy Science 95, 4683–4698.CrossRefGoogle Scholar
Caraviello, DZ, Weigel, KA, Fricke, PM, Wiltbank, MC, Florent, MC, Cook, NB, Nordlund, KV, Zwald, NR and Rawson, CL 2006. Survey of management practices on reproductive performance of dairy cattle on large US commercial farms. Journal of Dairy Science 89, 4723–4735.Google Scholar
Chebel, RC and Santos, JE 2010. Effect of inseminating cows in estrus following presynchronization protocol on reproductive and lactation performances. Journal of Dairy Science 93, 4632–4643.Google Scholar
De Vries, A 2006. Economic value of pregnancy in dairy cattle. Journal of Dairy Science 89, 3876–3885.Google Scholar
De Vries, A, Olson, JD and Pinedo, PJ 2010. Reproductive risk factors for culling and productive life in large dairy herds in the eastern United States between 2001 and 2006. Journal of Dairy Science 93, 613–623.Google Scholar
Ferguson, JD and Galligan, DT 1999. Veterinary reproductive programs. In Proceedings of 32nd Annual Convention of the American Association of Bovine Practitioners (AABP), Nashville, TN. pp. 133–137. American Association of Bovine Practitioners, Opelika, AL, US.CrossRefGoogle Scholar
Ferguson, JD and Galligan, DT 2011. The value of pregnancy diagnosis – a revisit to an old art. Paper presented at the 2011 Theriogenology Annual Conference Symposium, August 9–13, 2011, Milwaukee, USA.Google Scholar
Ferguson, JD and Skidmore, A 2013. Reproductive performance in a select sample of dairy herds. Journal of Dairy Science 96, 1269–1289.CrossRefGoogle Scholar
Galvao, KN, Federico, P, De Vries, A and Schuenemann, G 2013. Economic comparison of reproductive programs for dairy herds using estrus detection, timed artificial insemination, or a combination. Journal of Dairy Science 96, 2681–2693.Google Scholar
Giordano, JO, Fricke, PM and Cabrera, VE 2013. Economics of resynchronization strategies including chemical tests to identify non-pregnant cows. Journal of Dairy Science 96, 949–961.Google Scholar
Giordano, JO, Fricke, PM, Wiltbank, MC and Cabrera, VE 2011. An economic decision-making decision support system for selection of reproductive management programs on dairy farms. Journal of Dairy Science 94, 6216–6232.Google Scholar
Giordano, JO, Kalantari, A, Fricke, PM, Wiltbank, MC and Cabrera, VE 2012. A daily herd Markov-chain model to study the reproductive and economic impact of reproductive programs combining timed artificial insemination and estrous detection. Journal of Dairy Science 95, 5442–5460.CrossRefGoogle Scholar
Kalantari, AS and Cabrera, VE 2012. The effect of reproductive performance on the dairy cattle herd value assessed by integrating a daily dynamic programming with a daily Markov chain model. Journal of Dairy Science 95, 6160–6170.CrossRefGoogle ScholarPubMed
Lima, JR, Rivera, FA, Narciso, CD, Oliveira, R, Chebel, RC and Santos, JE 2009. Effect of increasing amounts of supplemental progesterone in a timed artificial insemination protocol on fertility of lactating dairy cows. Journal of Dairy Science 92, 5436–5446.Google Scholar
Moreira, FC, Orlandi, C, Risco, A, Mattos, R, Lopes, F and Thatcher, WW 2001. Effects of presynchronization and bovine somatotropin on pregnancy rates to a timed artificial insemination protocol in lactating dairy cows. Journal of Dairy Science 84, 1646–1659.CrossRefGoogle ScholarPubMed
Pursley, JR, Mee, MO and Wiltbank, MC 1995. Synchronization of ovulation in dairy cows using PGF2α and GnRH. Theriogenology 44, 915–923.CrossRefGoogle ScholarPubMed
Raleigh DRMS 2012. Dairy metrics. Raleigh DRMS, Raleigh, NC, USA. Retrieved September 2013 from http://www.drms.org/dairymetricsinfo.aspx?node_id=Dflt6.Google Scholar
Souza, AH, Carvalho, PA, Shaver, RD, Wiltbank, MC and Cabrera, VE 2013. Impact of timed AI use on reproductive performance and culling rate in Wisconsin dairy herds. Journal of Animal Science 91 (E-suppl. 2), W303.Google Scholar
Vasconcelos, JLM, Silcox, RW, Lacerda, JA, Pursley, JR and Wiltbank, MC 1997. Pregnancy rate, pregnancy loss, and response to estrous stress after AI at two different times from ovulation in dairy cows. Biology Reproduction 56 (suppl. 1), 140.Google Scholar