Time spent feeding as an early indicator of metritis in postpartum dairy cows: systematic review and meta-analysis
R. Cocco A , M. E. A. Canozzi B , A. C. Vieira A and V. Fischer A *A Animal Science Department, Federal University of Rio Grande do Sul, Porto Alegre, Rio Grande do Sul 91540-000, Brazil.
B Instituto Nacional de Investigación Agropecuaria (INIA), Programa Producción de Carne y Lana, Estación Experimental INIA La Estanzuela, Ruta 50 km 11, Colonia 70000, Uruguay.
Animal Production Science 63(12) 1215-1225 https://doi.org/10.1071/AN22302
Submitted: 6 August 2022 Accepted: 9 March 2023 Published: 4 April 2023
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing
Abstract
Context: Feeding behaviour is an important tool for the early detection of diseases in dairy cows.
Aims: The aim of this study was to evaluate whether the variation in time spent feeding in the prepartum and postpartum periods may be used to detect the occurrence of metritis and subclinical ketosis (SCK) before the onset of the clinical symptoms at the postpartum.
Methods: The research was conducted in four electronic databases, including Scopus, Science Direct, Pubmed, and Web of Science. The inclusion criteria for citations were original research, evaluation of daily time spent feeding in dairy cows, and use of this indicator for early identification of metritis and/or SCK in dairy cows in the prepartum and postpartum periods. A random-effect meta-analysis (MA) was conducted for metritis with the time spent feeding means of control (healthy) and treated (sick) groups measured in the prepartum and postpartum periods. The analysis was conducted with the values of daily time spent feeding before and after calving in both groups.
Key results: In total, 26 trials from six papers, involving 1037 dairy cows, were included in the statistical analysis. No data were obtained for SCK to conduct a MA, while for metritis, 16 trials from six papers (prepartum) and 10 trials from three papers (postpartum) were considered. The heterogeneity between studies on metritis was moderate (I2 = 57.5%) in the prepartum period and low (I2 = 10.0%) in the postpartum period. The mean difference feeding time for healthy and unhealthy animals was greater during postpartum (21.14 min/day, P < 0.001) than during prepartum (16.36 min/day, P < 0.001). Meta-regression analysis showed that number of daily milkings, sample size, and the place of running trial significantly influenced the time spent feeding by cows.
Conclusion: On the basis of available and suitable scientific literature, time spent feeding is reduced at the prepartum and postpartum periods in dairy cows further affected by metritis.
Implications: This study evidenced that feeding time might be incorporated into health-monitoring protocols for early detection of metritis in dairy cows.
Keywords: behavior, consumption, dairy cows, early detection of illnesses, eating time, ingestive, metritis, SCK, transition period.
References
Abuelo A, Hernández J, Benedito JL, Castillo C (2015) The importance of the oxidative status of dairy cattle in the periparturient period: revisiting antioxidant supplementation. Journal of Animal Physiology and Animal Nutrition 99, 1003–1016.| The importance of the oxidative status of dairy cattle in the periparturient period: revisiting antioxidant supplementation.Crossref | GoogleScholarGoogle Scholar |
Antanaitis R, Juozaitienė V, Malašauskienė D, Televičius M (2019) Can rumination time and some blood biochemical parameters be used as biomarkers for the diagnosis of subclinical acidosis and subclinical ketosis? Veterinary and Animal Science 8, 100 077
| Can rumination time and some blood biochemical parameters be used as biomarkers for the diagnosis of subclinical acidosis and subclinical ketosis?Crossref | GoogleScholarGoogle Scholar |
Banda LJ, Chagunda MGG, Ashworth CJ, Roberts DJ (2022) Associations among body energy status, feeding duration and activity with respect to diet energy and protein content in housed dairy cows. Journal of Dairy Research 89, 128–133.
| Associations among body energy status, feeding duration and activity with respect to diet energy and protein content in housed dairy cows.Crossref | GoogleScholarGoogle Scholar |
Bareille N, Beaudeau F, Billon S, Robert A, Faverdin P (2003) Effects of health disorders on feed intake and milk production in dairy cows. Livestock Production Science 83, 53–62.
| Effects of health disorders on feed intake and milk production in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Beauchemin KA (2018) Invited review: Current perspectives on eating and rumination activity in dairy cows. Journal of Dairy Science 101, 4762–4784.
| Invited review: Current perspectives on eating and rumination activity in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR (2009) ‘Introduction to meta-analysis.’ (John Wiley and Sons, Ltd, The Atrium: Chichester, UK)
Braun U, Buchli H, Hässig M (2017) Eating and rumination activities two weeks prepartum to one month postpartum in 100 healthy cows and cows with peripartum diseases. Schweiz Arch Tierheilkd 159, 535–544.
| Eating and rumination activities two weeks prepartum to one month postpartum in 100 healthy cows and cows with peripartum diseases.Crossref | GoogleScholarGoogle Scholar |
Canozzi MEA, Mederos A, Manteca X, Turner S, McManus C, Zago D, Barcellos JOJ (2017) A meta-analysis of cortisol concentration, vocalization, and average daily gain associated with castration in beef cattle. Research in Veterinary Science 114, 430–443.
| A meta-analysis of cortisol concentration, vocalization, and average daily gain associated with castration in beef cattle.Crossref | GoogleScholarGoogle Scholar |
Cocco R, Canozzi MEA, Fischer V (2021) Rumination time as an early predictor of metritis and subclinical ketosis in dairy cows at the beginning of lactation: systematic review-meta-analysis. Preventive Veterinary Medicine 189, 105309
| Rumination time as an early predictor of metritis and subclinical ketosis in dairy cows at the beginning of lactation: systematic review-meta-analysis.Crossref | GoogleScholarGoogle Scholar |
De Mol RM, Goselink RMA, Van Riel JW, Knijn HM, Van Knegsel ATM (2016) The relation between eating time and feed intake of dairy cows. In ‘Proceedings of the precision dairy farming conference’, pp. 387–392. (Wageningen Academic Publishers: Wageningen, Netherlands)
DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Controlled Clinical Trials 7, 177–188.
| Meta-analysis in clinical trials.Crossref | GoogleScholarGoogle Scholar |
Dittrich I, Gertz M, Krieter J (2019) Alterations in sick dairy cows’ daily behavioural patterns. Heliyon 5, e02902
| Alterations in sick dairy cows’ daily behavioural patterns.Crossref | GoogleScholarGoogle Scholar |
Dollinger J, Kaufmann O (2013) Feeding behaviour in dairy cows with and without the influence of clinical diseases or subclinical disorders. Archives Animal Breeding 56, 149–159.
| Feeding behaviour in dairy cows with and without the influence of clinical diseases or subclinical disorders.Crossref | GoogleScholarGoogle Scholar |
Duval S, Tweedie R (2000) Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics 56, 455–463.
| Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis.Crossref | GoogleScholarGoogle Scholar |
Eckelkamp EA (2019) Invited Review: Current state of wearable precision dairy technologies in disease detection. Applied Animal Science 35, 209–220.
| Invited Review: Current state of wearable precision dairy technologies in disease detection.Crossref | GoogleScholarGoogle Scholar |
Eckelkamp EA, Bewley JM (2020) On-farm use of disease alerts generated by precision dairy technology. Journal of Dairy Science 103, 1566–1582.
| On-farm use of disease alerts generated by precision dairy technology.Crossref | GoogleScholarGoogle Scholar |
Gargiulo JI, Eastwood CR, Garcia SC, Lyons NA (2018) Dairy farmers with larger herd sizes adopt more precision dairy technologies. Journal of Dairy Science 101, 5466–5473.
| Dairy farmers with larger herd sizes adopt more precision dairy technologies.Crossref | GoogleScholarGoogle Scholar |
Goldhawk C, Chapinal N, Veira DM, Weary DM, von Keyserlingk MAG (2009) Prepartum feeding behavior is an early indicator of subclinical ketosis. Journal of Dairy Science 92, 4971–4977.
| Prepartum feeding behavior is an early indicator of subclinical ketosis.Crossref | GoogleScholarGoogle Scholar |
Gomez A, Cook NB (2010) Time budgets of lactating dairy cattle in commercial freestall herds. Journal of Dairy Science 93, 5772–5781.
| Time budgets of lactating dairy cattle in commercial freestall herds.Crossref | GoogleScholarGoogle Scholar |
González LA, Tolkamp BJ, Coffey MP, Ferret A, Kyriazakis I (2008) Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows. Journal of Dairy Science 91, 1017–1028.
| Changes in feeding behavior as possible indicators for the automatic monitoring of health disorders in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Gröhn YT, Rajala-Schultz PJ, Allore HG, DeLorenzo MA, Hertl JA, Galligan DT (2003) Optimizing replacement of dairy cows: modeling the effects of diseases. Preventive Veterinary Medicine 61, 27–43.
| Optimizing replacement of dairy cows: modeling the effects of diseases.Crossref | GoogleScholarGoogle Scholar |
Higgins JPT, Green S (2011) ‘Cochrane handbook for systematic reviews of interventions version 5.1.0.’ (The Cochrane Collaboration) Available at http://www.cochrane-handbook.org [Accessed November 2018, 2011]
Higgins JPT, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327, 557–560.
| Measuring inconsistency in meta-analyses.Crossref | GoogleScholarGoogle Scholar |
Huzzey JM, Veira DM, Weary DM, von Keyserlingk MAG (2007) Prepartum behavior and dry matter intake identify dairy cows at risk for metritis. Journal of Dairy Science 90, 3220–3233.
| Prepartum behavior and dry matter intake identify dairy cows at risk for metritis.Crossref | GoogleScholarGoogle Scholar |
Kaufman EI, LeBlanc SJ, McBride BW, Duffield TF, DeVries TJ (2016) Association of rumination time with subclinical ketosis in transition dairy cows. Journal of Dairy Science 99, 5604–5618.
| Association of rumination time with subclinical ketosis in transition dairy cows.Crossref | GoogleScholarGoogle Scholar |
LeBlanc SJ (2008) Postpartum uterine disease and dairy herd reproductive performance: a review. The Veterinary Journal 176, 102–114.
| Postpartum uterine disease and dairy herd reproductive performance: a review.Crossref | GoogleScholarGoogle Scholar |
Llonch P, Mainau E, Ipharraguerre IR, Bargo F, Tedó G, Blanch M, Manteca X (2018) Chicken or the egg: the reciprocal association between feeding behavior and animal welfare and their impact on productivity in dairy cows. Frontiers in Veterinary Science 5, 305
| Chicken or the egg: the reciprocal association between feeding behavior and animal welfare and their impact on productivity in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Luchterhand KM, Silva PRB, Chebel RC, Endres MI (2016) Association between prepartum feeding behavior and periparturient health disorders in dairy cows. Frontiers in Veterinary Science 3, 65
| Association between prepartum feeding behavior and periparturient health disorders in dairy cows.Crossref | GoogleScholarGoogle Scholar |
McArt JAA, Nydam DV, Oetzel GR (2012) A field trial on the effect of propylene glycol on displaced abomasum, removal from herd, and reproduction in fresh cows diagnosed with subclinical ketosis. Journal of Dairy Science 95, 2505–2512.
| A field trial on the effect of propylene glycol on displaced abomasum, removal from herd, and reproduction in fresh cows diagnosed with subclinical ketosis.Crossref | GoogleScholarGoogle Scholar |
Mederos A, Waddell L, Sánchez J, Kelton D, Peregrine AS, Menzies P, VanLeeuwen J, Rajić A (2012) A systematic review-meta-analysis of primary research investigating the effect of selected alternative treatments on gastrointestinal nematodes in sheep under field conditions. Preventive Veterinary Medicine 104, 1–14.
| A systematic review-meta-analysis of primary research investigating the effect of selected alternative treatments on gastrointestinal nematodes in sheep under field conditions.Crossref | GoogleScholarGoogle Scholar |
Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. Annals of Internal Medicine 151, 264–269.
| Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.Crossref | GoogleScholarGoogle Scholar |
Mostert PF, Bokkers EAM, van Middelaar CE, Hogeveen H, de Boer IJM (2018) Estimating the economic impact of subclinical ketosis in dairy cattle using a dynamic stochastic simulation model. Animal 12, 145–154.
| Estimating the economic impact of subclinical ketosis in dairy cattle using a dynamic stochastic simulation model.Crossref | GoogleScholarGoogle Scholar |
Neave HW, Lomb J, Weary DM, LeBlanc SJ, Huzzey JM, von Keyserlingk MAG (2018) Behavioral changes before metritis diagnosis in dairy cows. Journal of Dairy Science 101, 4388–4399.
| Behavioral changes before metritis diagnosis in dairy cows.Crossref | GoogleScholarGoogle Scholar |
Patbandha TK, Mohanty TK, Layek SS, Kumaresan A, Behera K (2012) Application of pre-partum feeding and social behaviour in predicting risk of developing metritis in crossbred cows. Applied Animal Behaviour Science 139, 10–17.
| Application of pre-partum feeding and social behaviour in predicting risk of developing metritis in crossbred cows.Crossref | GoogleScholarGoogle Scholar |
Schillings J, Bennett R, Rose DC (2021) Exploring the potential of precision livestock farming technologies to help address farm animal welfare. Frontiers in Animal Science 2, 639678
| Exploring the potential of precision livestock farming technologies to help address farm animal welfare.Crossref | GoogleScholarGoogle Scholar |
Schirmann K, Weary DM, Heuwieser W, Chapinal N, Cerri RLA, von Keyserlingk MAG (2016) Short communication: Rumination and feeding behaviors differ between healthy and sick dairy cows during the transition period. Journal of Dairy Science 99, 9917–9924.
| Short communication: Rumination and feeding behaviors differ between healthy and sick dairy cows during the transition period.Crossref | GoogleScholarGoogle Scholar |
Stangaferro ML, Wijma R, Caixeta LS, Al-Abri MA, Giordano JO (2016a) Use of rumination and activity monitoring for the identification of dairy cows with health disorders: part I. Metabolic and digestive disorders. Journal of Dairy Science 99, 7395–7410.
| Use of rumination and activity monitoring for the identification of dairy cows with health disorders: part I. Metabolic and digestive disorders.Crossref | GoogleScholarGoogle Scholar |
Stangaferro ML, Wijma R, Caixeta LS, Al-Abri MA, Giordano JO (2016b) Use of rumination and activity monitoring for the identification of dairy cows with health disorders: part III. Metritis. Journal of Dairy Science 99, 7422–7433.
| Use of rumination and activity monitoring for the identification of dairy cows with health disorders: part III. Metritis.Crossref | GoogleScholarGoogle Scholar |
Stivanin SCB, Vizzotto EF, Matiello JP, Machado FS, Campos MM, Tomich TR, Pereira LGR, Fischer V (2021) Behavior, feed intake and health status in Holstein, Gyr and Girolando-F1 cows during the transition period: behavior and health of dairy cows in the transition period. Applied Animal Behaviour Science 242, 105403
| Behavior, feed intake and health status in Holstein, Gyr and Girolando-F1 cows during the transition period: behavior and health of dairy cows in the transition period.Crossref | GoogleScholarGoogle Scholar |
Sumner CL, von Keyserlingk MAG, Weary DM (2018) How benchmarking motivates farmers to improve dairy calf management. Journal of Dairy Science 101, 3323–3333.
| How benchmarking motivates farmers to improve dairy calf management.Crossref | GoogleScholarGoogle Scholar |
Tsai IC, Mayo LM, Jones BW, Stone AE, Janse SA, Bewley JM (2021) Precision dairy monitoring technologies use in disease detection: differences in behavioral and physiological variables measured with precision dairy monitoring technologies between cows with or without metritis, hyperketonemia, and hypocalcemia. Livestock Science 244, 104334
| Precision dairy monitoring technologies use in disease detection: differences in behavioral and physiological variables measured with precision dairy monitoring technologies between cows with or without metritis, hyperketonemia, and hypocalcemia.Crossref | GoogleScholarGoogle Scholar |
Urton G, von Keyserlingk MAG, Weary DM (2005) Feeding behavior identifies dairy cows at risk for metritis. Journal of Dairy Science 88, 2843–2849.
| Feeding behavior identifies dairy cows at risk for metritis.Crossref | GoogleScholarGoogle Scholar |
Vieira AC, Fischer V, Canozzi MEA, Garcia LS, Morales-Piñeyrúa JT (2021) Motivations and attitudes of Brazilian dairy farmers regarding the use of automated behaviour recording and analysis systems. Journal of Dairy Research 88, 270–273.
| Motivations and attitudes of Brazilian dairy farmers regarding the use of automated behaviour recording and analysis systems.Crossref | GoogleScholarGoogle Scholar |
Weary DM, Huzzey JM, von Keyserlingk MAG (2009) Board-Invited Review: Using behavior to predict and identify ill health in animals. Journal of Animal Science 87, 770–777.
| Board-Invited Review: Using behavior to predict and identify ill health in animals.Crossref | GoogleScholarGoogle Scholar |
Wells GA, Shea B, O’Connell D, Peterson J, Welch V, Losos M, Tugwell P (2018) The Newcastle–Ottawa Scale (NOS) for assessing the quality of non randomized studies in meta-analyses. (Ottawa Health Research Institute: Ottawa (ON)). Available at http://www.ohri.ca/programs/clinical_epidemiology/oxford.asp [Accessed 11 December 2018]