Reproductive management in dairy cows - the future

被引:72
作者
Crowe, Mark A. [1 ]
Hostens, Miel [2 ]
Opsomer, Geert [2 ]
机构
[1] Univ Coll Dublin, UCD Sch Vet Med, Dublin 4, Ireland
[2] Univ Ghent, Fac Vet Med, Salisburylaan 133, B-9820 Merelbeke, Belgium
基金
爱尔兰科学基金会;
关键词
Dairy cattle; Herd health management; Cow fertility; Reproduction; Breeding; GONADOTROPIN-RELEASING-HORMONE; ELECTRONIC MEDICAL-RECORDS; ESTRUS DETECTION; ARTIFICIAL-INSEMINATION; EMBRYO QUALITY; FATTY-ACIDS; MILK-YIELD; BIG DATA; HEALTH MANAGEMENT; REDUCED FERTILITY;
D O I
10.1186/s13620-017-0112-y
中图分类号
S85 [动物医学(兽医学)];
学科分类号
0906 ;
摘要
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.
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页数:13
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