Economics of timed artificial insemination with unsorted or sexed semen in a high-producing, pasture-based dairy production system.

In the study the authors used a simulation model to estimate the potential economic benefit of using timed AI in combination with conventional unsorted or sexed semen in heifers only, and in both heifers and lactating cows. These scenarios were compared with a conventional reproductive programme in which heifers and cows were inseminated with conventional unsorted semen after oestrus detection (Control). A sensitivity analysis was also used to estimate the effect of hormone costs from timed AI use on the profitability of each programme relative to the conventional.

The mean annual profit advantage over the Control of conventional unsorted and sexed semen with timed AI in heifers only, and in both heifers and lactating cows were €3.90, €34.11, €13.96, and €41.52 per cow, respectively (heifer in eventual cow terms). The combined application of both technologies showed a greater annual profit advantage on average compared with that achievable from timed AI alone. However, the risk of not returning a positive annual profit advantage varied across the scenarios with higher risk in conventional unsorted and sexed semen in heifers only, specifically a 24 and 18% chance, respectively, of not giving a positive annual profit advantage. The sensitivity analysis showed that when hormone costs increased by €10 per cow, the use in heifers of conventional unsorted and sexed semen had a 38 and 23% chance, respectively, of not returning a positive annual profit advantage. The range in profit advantage for all groups was most sensitive to the timed AI pregnancy rate and the heifers versus heifers and lactating cow groups were most sensitive to the relative fertility achieved with sexed compared with unsorted semen.

The results of the study suggested that timed AI and sexed semen are complementary technologies that can increase genetic gain and profitability in a pasture-based, dairy production system.