All articles
Reproduction

The economics of fertility: what a day open is really worth

Bouvera Dairy Consulting · September 2026 · 8 min read
Two dairy professionals reviewing herd fertility performance on a laptop in a farm office
AI generated for Bouvera Dairy Digest

The cost of a day open is quoted everywhere and understood almost nowhere. A structural approach to valuing reproductive performance on your own farm, and where reproductive investment actually returns.

Bouvera Dairy Digest covers reproductive management only. Nothing here is veterinary advice: diagnosis, hormonal protocols, medicines and treatment decisions belong with your own herd veterinarian.

Ask three advisers the cost of a day open and you will get three numbers, usually between two and six euro. All three are defensible and all three are misleading, because the cost is not a constant. It depends on where the cow sits in her lactation curve, on milk price, on replacement cost and on whether the herd is expanding, stable or contracting.

The four components

  • Milk: an extended lactation keeps the cow at a lower point on her curve for longer, so the loss is the difference between late-lactation and fresh-cow production, not the whole yield.
  • Replacement dynamics: fewer pregnancies mean fewer heifer calves and less voluntary culling capacity, which reduces the herd's ability to cull on merit.
  • Direct costs: semen, labour, diagnostics, veterinary reproductive work.
  • Calf value: with beef-on-dairy now standard in many systems, the calf is a real revenue line rather than a rounding error.

Marginal, not average

The economically correct frame, developed most rigorously by De Vries (2006) and extended in the decision-support work of Cabrera and colleagues, is marginal: the value of one additional pregnancy in a herd already at 25% pregnancy rate is lower than in a herd at 14%. This has an uncomfortable practical implication — reproductive investment has diminishing returns, and a well-performing herd may be better served putting the next euro into transition health or feed efficiency than into more reproductive technology.

Building the case

The workable sequence with a client is: establish the current 21-day pregnancy rate honestly, model the realistic improvement using published effect sizes for the specific intervention, value the improvement using the farm's own milk price, replacement cost and calf price, and then run a sensitivity range across a plausible milk price band. An investment that survives the low end of that band is a decision; one that only works at the high end is a bet.

Where the returns usually sit

Across Bouvera's client work, the highest-return reproductive investments are rarely the most technical: fixing flooring so cows can express oestrus, adding feed-bunk space in the fresh pen, training and auditing semen handling and insemination technique, and simply enforcing an eligibility rule so that no cow sits unbred past 100 days by accident. Sensor systems repay well in herds where detection is the limiting factor and disappoint in herds where it is not — which is precisely why the pregnancy-rate decomposition in the previous article should be done before, not after, the purchase.

References
  1. De Vries, A. (2006). Economic value of pregnancy in dairy cattle. Journal of Dairy Science, 89(10), 3876–3885. https://doi.org/10.3168/jds.S0022-0302(06)72430-4
  2. Cabrera, V. E. (2014). Economics of fertility in high-yielding dairy cows on confined TMR systems. Animal, 8(s1), 211–221. https://doi.org/10.1017/S1751731114000512
  3. Giordano, J. O., Kalantari, A. S., Fricke, P. M., Wiltbank, M. C., & Cabrera, V. E. (2012). A daily herd Markov-chain model to study the reproductive and economic impact of reproductive programs combining timed artificial insemination and estrus detection. Journal of Dairy Science, 95(9), 5442–5460. https://doi.org/10.3168/jds.2011-4972
  4. Inchaisri, C., Jorritsma, R., Vos, P. L. A. M., van der Weijden, G. C., & Hogeveen, H. (2010). Economic consequences of reproductive performance in dairy cattle. Theriogenology, 74(5), 835–846. https://doi.org/10.1016/j.theriogenology.2010.04.008