Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system
The purpose of this study was to estimate the prevalence of Subclinical ketosis (SCK) between 4 and 19 days in milk (DIM) in a grazing production system and investigate the importance of potential risk factors for SCK. This cross-sectional study was conducted in dairy cows (n = 107), which had mor...
| Autores principales: | , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2019
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/4667 https://doi.org/10.1111/jpn.12141 |
| _version_ | 1855035362686009344 |
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| author | Garro, Carlos Javier Mian, L. Cobos Roldán, M. |
| author_browse | Cobos Roldán, M. Garro, Carlos Javier Mian, L. |
| author_facet | Garro, Carlos Javier Mian, L. Cobos Roldán, M. |
| author_sort | Garro, Carlos Javier |
| collection | INTA Digital |
| description | The purpose of this study was to estimate the prevalence of Subclinical ketosis (SCK) between 4 and 19 days in
milk (DIM) in a grazing production system and investigate the importance of potential risk factors for SCK. This
cross-sectional study was conducted in dairy cows (n = 107), which had more of two parities. The concentration
of b-hydroxybutyric (BHB) in blood was quantified through a hand-held meter. Potential risk factors evaluated
were calving interval (CI), milk yield in previous lactation, metritis, dystocia, calf sex (male), parity (≤3 vs. ≥4)
and pre-partum body condition score (BCS ≤ 3.5 vs. ≥3.75). Prevalence of SCK was 10.3% (95% CI 4.7–15)
between 4 and 19 DIM. Risk factors identified were the occurrence of both metritis and pre-partum BCS ≥ 3.75.
Cows with metritis had 4.9 (95% CI 1.17–20.98) times more risk of developing SCK than cows without metritis.
And the cows with pre-partum BCS ≥ 3.75 had 5.25 (95% CI 1.32–21.11) times more risk of developing SCK
than cows with pre-partum BCS ≤ 3.5. Metritis could induce a lower feed intake and promote the development
of SCK. High pre-partum BCS could induce a greater mobilization of body reserves altering liver function and
aggravating post-partum NEB. The results are indicative of the expected prevalence of SCK in grazing production
system. Factors associated could help to identify cattle at risk of SCK and improve the management of strategies
to limit the effects. |
| format | info:ar-repo/semantics/artículo |
| id | INTA4667 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA46672019-03-19T17:27:57Z Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system Garro, Carlos Javier Mian, L. Cobos Roldán, M. Cetosis Vacas Lecheras Condición Corporal Factores de Riesgo Endometritis Ketosis Dairy Cows Body Condition Risk Factors The purpose of this study was to estimate the prevalence of Subclinical ketosis (SCK) between 4 and 19 days in milk (DIM) in a grazing production system and investigate the importance of potential risk factors for SCK. This cross-sectional study was conducted in dairy cows (n = 107), which had more of two parities. The concentration of b-hydroxybutyric (BHB) in blood was quantified through a hand-held meter. Potential risk factors evaluated were calving interval (CI), milk yield in previous lactation, metritis, dystocia, calf sex (male), parity (≤3 vs. ≥4) and pre-partum body condition score (BCS ≤ 3.5 vs. ≥3.75). Prevalence of SCK was 10.3% (95% CI 4.7–15) between 4 and 19 DIM. Risk factors identified were the occurrence of both metritis and pre-partum BCS ≥ 3.75. Cows with metritis had 4.9 (95% CI 1.17–20.98) times more risk of developing SCK than cows without metritis. And the cows with pre-partum BCS ≥ 3.75 had 5.25 (95% CI 1.32–21.11) times more risk of developing SCK than cows with pre-partum BCS ≤ 3.5. Metritis could induce a lower feed intake and promote the development of SCK. High pre-partum BCS could induce a greater mobilization of body reserves altering liver function and aggravating post-partum NEB. The results are indicative of the expected prevalence of SCK in grazing production system. Factors associated could help to identify cattle at risk of SCK and improve the management of strategies to limit the effects. Instituto de Patobiología Fil: Garro, Carlos Javier. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patobiología; Argentina Fil: Mian, L. Dairy Manager, Santa Fe; Argentina Fil: Cobos Roldán, M. Bovine reproduction, Córdoba; Argentina 2019-03-19T17:23:50Z 2019-03-19T17:23:50Z 2014-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/4667 1439-0396 https://doi.org/10.1111/jpn.12141 eng info:eu-repo/semantics/restrictedAccess application/pdf Wiley Journal of animal physiology and animal nutrition 98 : 838–844. (2014) |
| spellingShingle | Cetosis Vacas Lecheras Condición Corporal Factores de Riesgo Endometritis Ketosis Dairy Cows Body Condition Risk Factors Garro, Carlos Javier Mian, L. Cobos Roldán, M. Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title | Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title_full | Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title_fullStr | Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title_full_unstemmed | Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title_short | Subclinical ketosis in dairy cows: prevalence and risk factors in grazing production system |
| title_sort | subclinical ketosis in dairy cows prevalence and risk factors in grazing production system |
| topic | Cetosis Vacas Lecheras Condición Corporal Factores de Riesgo Endometritis Ketosis Dairy Cows Body Condition Risk Factors |
| url | http://hdl.handle.net/20.500.12123/4667 https://doi.org/10.1111/jpn.12141 |
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