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Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system

BACKGROUND: The timing of artificial insemination is critical to achieve acceptable results in cattle production systems. Over the past 60 years the length and expression of oestrus in dairy cattle has altered. Recent studies have indicated the optimal timing for insemination after the commencement...

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Autores principales: Haadem, Caroline Sorknes, Holmøy, Ingrid Hunter, Nødtvedt, Ane, Martin, Adam Dunstan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257325/
https://www.ncbi.nlm.nih.gov/pubmed/37296465
http://dx.doi.org/10.1186/s13028-023-00685-y
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author Haadem, Caroline Sorknes
Holmøy, Ingrid Hunter
Nødtvedt, Ane
Martin, Adam Dunstan
author_facet Haadem, Caroline Sorknes
Holmøy, Ingrid Hunter
Nødtvedt, Ane
Martin, Adam Dunstan
author_sort Haadem, Caroline Sorknes
collection PubMed
description BACKGROUND: The timing of artificial insemination is critical to achieve acceptable results in cattle production systems. Over the past 60 years the length and expression of oestrus in dairy cattle has altered. Recent studies have indicated the optimal timing for insemination after the commencement of oestrus may now be earlier than traditional recommendations in beef cattle, as is the case in dairy cattle. The aim of the current study was to evaluate the effect of time from onset of oestrus [as determined by an automated activity monitoring system (AAMS)] to artificial insemination (AI) on pregnancy outcome in Norwegian beef cattle. Five commercial beef suckler herds participated in a cohort study by providing data on the time of AAMS alarm and time of AI. Blood sampling on the day of AI was performed and serum progesterone concentration measured. Pregnancy detection was performed by transrectal ultrasonography and aging of the fetus performed when necessary. A mixed logistic regression model was fitted to study the effect of time from AAMS alarm to AI on pregnancy outcome. Time categories used in the model were < 12 h, 12–24 h, and > 24 h. RESULTS: AI periods (n = 229) with serum progesterone concentration < 1 ng/mL were available for analysis. Overall pregnancy risk per AI for the whole study period was 65.5%, with an inter-herd variation from 10 to 91%. Median time elapsed from AAMS alarm to AI was 17.75 h. Herd affected pregnancy outcome (P = 0.001), while breed and parity status (heifer/cow) did not. The time category closer to AAMS alarm 0–12 h showed a numerically lower pregnancy risk as compared to the baseline group which had AI 12–24 h after onset of oestrus. CONCLUSION: This study found no evidence to support a change in the recommended timing of AI in beef suckler cows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13028-023-00685-y.
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spelling pubmed-102573252023-06-11 Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system Haadem, Caroline Sorknes Holmøy, Ingrid Hunter Nødtvedt, Ane Martin, Adam Dunstan Acta Vet Scand Research BACKGROUND: The timing of artificial insemination is critical to achieve acceptable results in cattle production systems. Over the past 60 years the length and expression of oestrus in dairy cattle has altered. Recent studies have indicated the optimal timing for insemination after the commencement of oestrus may now be earlier than traditional recommendations in beef cattle, as is the case in dairy cattle. The aim of the current study was to evaluate the effect of time from onset of oestrus [as determined by an automated activity monitoring system (AAMS)] to artificial insemination (AI) on pregnancy outcome in Norwegian beef cattle. Five commercial beef suckler herds participated in a cohort study by providing data on the time of AAMS alarm and time of AI. Blood sampling on the day of AI was performed and serum progesterone concentration measured. Pregnancy detection was performed by transrectal ultrasonography and aging of the fetus performed when necessary. A mixed logistic regression model was fitted to study the effect of time from AAMS alarm to AI on pregnancy outcome. Time categories used in the model were < 12 h, 12–24 h, and > 24 h. RESULTS: AI periods (n = 229) with serum progesterone concentration < 1 ng/mL were available for analysis. Overall pregnancy risk per AI for the whole study period was 65.5%, with an inter-herd variation from 10 to 91%. Median time elapsed from AAMS alarm to AI was 17.75 h. Herd affected pregnancy outcome (P = 0.001), while breed and parity status (heifer/cow) did not. The time category closer to AAMS alarm 0–12 h showed a numerically lower pregnancy risk as compared to the baseline group which had AI 12–24 h after onset of oestrus. CONCLUSION: This study found no evidence to support a change in the recommended timing of AI in beef suckler cows. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13028-023-00685-y. BioMed Central 2023-06-09 /pmc/articles/PMC10257325/ /pubmed/37296465 http://dx.doi.org/10.1186/s13028-023-00685-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Haadem, Caroline Sorknes
Holmøy, Ingrid Hunter
Nødtvedt, Ane
Martin, Adam Dunstan
Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title_full Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title_fullStr Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title_full_unstemmed Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title_short Time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
title_sort time of insemination in relation to pregnancy rates in beef cattle after oestrus detection with automated activity monitoring system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10257325/
https://www.ncbi.nlm.nih.gov/pubmed/37296465
http://dx.doi.org/10.1186/s13028-023-00685-y
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