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Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

SIMPLE SUMMARY: In dairy cows, the transition to lactation period is metabolically challenging. Elevated blood ketone bodies, known as hyperketonemia or ketosis, is a postpartum metabolic disorder that is associated with negative energy balance, greater comorbidity risk, and decreased milk productio...

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Autores principales: Pralle, Ryan S., Amdall, Joel D., Fourdraine, Robert H., Oetzel, Garrett R., White, Heather M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145167/
https://www.ncbi.nlm.nih.gov/pubmed/33946314
http://dx.doi.org/10.3390/ani11051291
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author Pralle, Ryan S.
Amdall, Joel D.
Fourdraine, Robert H.
Oetzel, Garrett R.
White, Heather M.
author_facet Pralle, Ryan S.
Amdall, Joel D.
Fourdraine, Robert H.
Oetzel, Garrett R.
White, Heather M.
author_sort Pralle, Ryan S.
collection PubMed
description SIMPLE SUMMARY: In dairy cows, the transition to lactation period is metabolically challenging. Elevated blood ketone bodies, known as hyperketonemia or ketosis, is a postpartum metabolic disorder that is associated with negative energy balance, greater comorbidity risk, and decreased milk production. Research to understand the etiology of hyperketonemia has highlighted risk factors and unfavorable outcomes; however, analysis of real-world data is valuable for determining the outcomes across a region. Dairy herd improvement data from herds with diverse size and production were analyzed to determine potential risk factors for and production outcomes of hyperketonemia in the Midwest region (US). Cows predicted to have hyperketonemia had greater previous lactation dry period length, somatic cell count, and dystocia, which may represent risk factors for ketosis. Cows with predicted hyperketonemia had lower milk yield and milk protein but greater milk fat and somatic cell count in the current lactation. Culling rate within 60d of calving, days open, and artificial inseminations were all greater in cows predicted to have hyperketonemia. Prevalence of hyperketonemia decreased linearly in herds with greater rolling herd average milk yield. This work demonstrates the impact of hyperketonemia on production variables which underscores the importance on continued work to reduce hyperketonemia prevalence. ABSTRACT: Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.
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spelling pubmed-81451672021-05-26 Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights Pralle, Ryan S. Amdall, Joel D. Fourdraine, Robert H. Oetzel, Garrett R. White, Heather M. Animals (Basel) Article SIMPLE SUMMARY: In dairy cows, the transition to lactation period is metabolically challenging. Elevated blood ketone bodies, known as hyperketonemia or ketosis, is a postpartum metabolic disorder that is associated with negative energy balance, greater comorbidity risk, and decreased milk production. Research to understand the etiology of hyperketonemia has highlighted risk factors and unfavorable outcomes; however, analysis of real-world data is valuable for determining the outcomes across a region. Dairy herd improvement data from herds with diverse size and production were analyzed to determine potential risk factors for and production outcomes of hyperketonemia in the Midwest region (US). Cows predicted to have hyperketonemia had greater previous lactation dry period length, somatic cell count, and dystocia, which may represent risk factors for ketosis. Cows with predicted hyperketonemia had lower milk yield and milk protein but greater milk fat and somatic cell count in the current lactation. Culling rate within 60d of calving, days open, and artificial inseminations were all greater in cows predicted to have hyperketonemia. Prevalence of hyperketonemia decreased linearly in herds with greater rolling herd average milk yield. This work demonstrates the impact of hyperketonemia on production variables which underscores the importance on continued work to reduce hyperketonemia prevalence. ABSTRACT: Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels. MDPI 2021-04-30 /pmc/articles/PMC8145167/ /pubmed/33946314 http://dx.doi.org/10.3390/ani11051291 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pralle, Ryan S.
Amdall, Joel D.
Fourdraine, Robert H.
Oetzel, Garrett R.
White, Heather M.
Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title_full Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title_fullStr Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title_full_unstemmed Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title_short Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights
title_sort hyperketonemia predictions provide an on-farm management tool with epidemiological insights
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8145167/
https://www.ncbi.nlm.nih.gov/pubmed/33946314
http://dx.doi.org/10.3390/ani11051291
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