Literature DB >> 16027199

Feeding behavior identifies dairy cows at risk for metritis.

G Urton1, M A G von Keyserlingk, D M Weary.   

Abstract

Dairy cows experience a high incidence of disease and metabolic disorders in the weeks immediately following calving, but early and accurate diagnosis remains a challenge. Cows suffering from metritis, one common disease following calving, exhibit reduced milk yield and reproductive performance. However, afflicted cows show few overt signs of illness and frequently go unnoticed in the absence of veterinary examination. To determine whether changes in feeding behavior could be used to identify animals at risk for metritis, attendance at the feed alley was monitored continuously for 26 Holstein cows during the transition period, beginning 2 wk before and ending 3 wk after calving. Every 3 +/- 1 d, cows were examined for metritis based on rectal body temperature and condition of vaginal discharge. Over the 3 wk of observations after calving, 69% of cows showed some signs of metritis. These cows spent on average 22 min/d less time at the feed alley during the transition period than did non-metritic cows. For every 10-min decrease in average daily feeding time, cows were twice as likely to be diagnosed with metritis. A threshold of 75 min of average daily feeding time was 89% sensitive and 62% specific for detection of acute metritis. In conclusion, reduced time at the feeder can be used to identify dairy cows at risk for metritis. More research is required to determine how soon before calving at-risk cows can be identified and whether these behavioral differences can also be used in the early diagnosis of other diseases or metabolic disorders.

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Year:  2005        PMID: 16027199     DOI: 10.3168/jds.S0022-0302(05)72965-9

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  10 in total

1.  Strategies for the treatment of dairy cows at high risk for postpartum metritis and for the treatment of clinical endometritis in Argentina.

Authors:  Julian A Bartolome; Pablo Khalloub; Rodolfo Luzbel de la Sota; Marc Drillich; Pedro G Melendez
Journal:  Trop Anim Health Prod       Date:  2013-09-01       Impact factor: 1.559

2.  Genetic analysis of disease resilience in wean-to-finish pigs from a natural disease challenge model.

Authors:  Jian Cheng; Austin M Putz; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; PigGen Canada; Jack C M Dekkers
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

3.  Associations among serum pro- and anti-inflammatory cytokines, metabolic mediators, body condition, and uterine disease in postpartum dairy cows.

Authors:  Ramanathan K Kasimanickam; Vanmathy R Kasimanickam; Jesse R Olsen; Erin J Jeffress; Dale A Moore; John P Kastelic
Journal:  Reprod Biol Endocrinol       Date:  2013-11-09       Impact factor: 5.211

4.  Transition diseases in grazing dairy cows are related to serum cholesterol and other analytes.

Authors:  Pilar Sepúlveda-Varas; Daniel M Weary; Mirela Noro; Marina A G von Keyserlingk
Journal:  PLoS One       Date:  2015-03-25       Impact factor: 3.240

5.  Association between Prepartum Feeding Behavior and Periparturient Health Disorders in Dairy Cows.

Authors:  Karen M Luchterhand; Paula R B Silva; Ricardo C Chebel; Marcia I Endres
Journal:  Front Vet Sci       Date:  2016-08-22

6.  Infectious Disease Does Not Impact the Lying and Grooming Behaviour of Post-Parturient Dairy Cows.

Authors:  Nadège Perier; Alice de Boyer des Roches; Margit Bak Jensen; Kathryn Proudfoot
Journal:  Animals (Basel)       Date:  2019-08-30       Impact factor: 2.752

7.  Competition Strategies of Metritic and Healthy Transition Cows.

Authors:  Borbala Foris; Marina A G von Keyserlingk; Daniel M Weary
Journal:  Animals (Basel)       Date:  2020-05-15       Impact factor: 2.752

8.  Evaluation of eating and rumination behaviour using a noseband pressure sensor in cows during the peripartum period.

Authors:  Ueli Braun; Theresa Tschoner; Michael Hässig
Journal:  BMC Vet Res       Date:  2014-09-04       Impact factor: 2.741

Review 9.  Alterations in sick dairy cows' daily behavioural patterns.

Authors:  I Dittrich; M Gertz; J Krieter
Journal:  Heliyon       Date:  2019-11-22

10.  Prediction of welfare outcomes for broiler chickens using Bayesian regression on continuous optical flow data.

Authors:  Stephen J Roberts; Russell Cain; Marian Stamp Dawkins
Journal:  J R Soc Interface       Date:  2012-09-05       Impact factor: 4.118

  10 in total

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