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Reproductive management in dairy cows - the future
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759237/ https://www.ncbi.nlm.nih.gov/pubmed/29321918 http://dx.doi.org/10.1186/s13620-017-0112-y |
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author | Crowe, Mark A. Hostens, Miel Opsomer, Geert |
author_facet | Crowe, Mark A. Hostens, Miel Opsomer, Geert |
author_sort | Crowe, Mark A. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5759237 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57592372018-01-10 Reproductive management in dairy cows - the future Crowe, Mark A. Hostens, Miel Opsomer, Geert Ir Vet J Review 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. BioMed Central 2018-01-08 /pmc/articles/PMC5759237/ /pubmed/29321918 http://dx.doi.org/10.1186/s13620-017-0112-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Crowe, Mark A. Hostens, Miel Opsomer, Geert Reproductive management in dairy cows - the future |
title | Reproductive management in dairy cows - the future |
title_full | Reproductive management in dairy cows - the future |
title_fullStr | Reproductive management in dairy cows - the future |
title_full_unstemmed | Reproductive management in dairy cows - the future |
title_short | Reproductive management in dairy cows - the future |
title_sort | reproductive management in dairy cows - the future |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5759237/ https://www.ncbi.nlm.nih.gov/pubmed/29321918 http://dx.doi.org/10.1186/s13620-017-0112-y |
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