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Review
. 2018 Jan 8:71:1.
doi: 10.1186/s13620-017-0112-y. eCollection 2018.

Reproductive management in dairy cows - the future

Affiliations
Review

Reproductive management in dairy cows - the future

Mark A Crowe et al. Ir Vet J. .

Abstract

Background: Drivers of change in dairy herd health management include the significant increase in herd/farm size, quota removal (within Europe) and the increase in technologies to aid in dairy cow reproductive management.

Main body: There are a number of key areas for improving fertility management these include: i) handling of substantial volumes of data, ii) genetic selection (including improved phenotypes for use in breeding programmes), iii) nutritional management (including transition cow management), iv) control of infectious disease, v) reproductive management (and automated systems to improve reproductive management), vi) ovulation / oestrous synchronisation, vii) rapid diagnostics of reproductive status, and viii) management of male fertility. This review covers the current status and future outlook of many of these key factors that contribute to dairy cow herd health and reproductive performance.

Conclusions: In addition to improvements in genetic trends for fertility, numerous other future developments are likely in the near future. These include: i) development of new and novel fertility phenotypes that may be measurable in milk; ii) specific fertility genomic markers; iii) earlier and rapid pregnancy detection; iv) increased use of activity monitors; v) improved breeding protocols; vi) automated inline sensors for relevant phenotypes that become more affordable for farmers; and vii) capturing and mining multiple sources of "Big Data" available to dairy farmers. These should facilitate improved performance, health and fertility of dairy cows in the future.

Keywords: Breeding; Cow fertility; Dairy cattle; Herd health management; Reproduction.

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Conflict of interest statement

Not applicableNot applicableThe authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures

Fig. 1
Fig. 1
Milk progesterone profiles and activity clusters(*) associated with different reproductive states for two representative post partum dairy cows (a and b). Heatime™ activity clusters are labelled 1–4. Insemination with conception = symbol ■. Insemination and full term pregnancy resulting = symbol +. Insemination whilst pregnant and still went full term = symbol O. Aungier et al. [48]
Fig. 2
Fig. 2
a The Mean ± SEM peak activity level of activity clusters was influenced by the endocrine state in which they occurred and b The Mean ± SEM duration of activity clusters was influenced by the endocrine state in which they occurred. a-cMeans within a bar chart with different superscripts differ (P < 0.0001). Aungier et al. [48]
Fig. 3
Fig. 3
Potential strategy to re-synchronise and re-breed dairy cows after an early pregnancy diagnosis result (day 16; GnRH = gonadotrophin-releasing hormone; PGF2α = prostaglandin F2α; I/V = intravaginal; TAI = fixed-time artificial insemination)

References

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