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Cited by 25Animal health and immunologyAnimal Behavior and Welfare StudiesMicrobial infections and disease research

Feeding behavior and activity levels are associated with recovery status in dairy calves treated with antimicrobials for Bovine Respiratory Disease

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Cantor, M. C., Renaud, David L., Neave, Heather W., Costa, Joao H. C.·2022·Scientific Reports
DOI 10.1038/s41598-022-08131-1PMC PMC8940924
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Abstract

Calves with Bovine Respiratory Disease (BRD) have different feeding behavior and activity levels prior to BRD diagnosis when compared to healthy calves, but it is unknown if calves who relapse from their initial BRD diagnosis are behaviorally different from calves who recover. Using precision technologies, we aimed to identify associations of feeding behavior and activity with recovery status in dairy calves (recovered or relapsed) over the 10 days after first antimicrobial treatment for BRD. Dairy calves were health scored daily for a BRD bout (using a standard respiratory scoring system and lung ultrasonography) and received antimicrobial therapy (enrofloxacin) on day 0 of initial BRD diagnosis; 10-14 days later, recovery status was scored as either recovered or relapsed (n = 19 each). Feeding behaviors and activity were monitored using automated feeders and pedometers. Over the 10 days post-treatment, recovered calves showed improvements in starter intake and were generally more active, while relapsed calves showed sickness behaviors, including depressed feed intake, and longer lying times. These results suggest there is a new potential for precision technology devices on farms in evaluating recovery status of dairy calves that are recently treated for BRD; there is opportunity to automatically identify relapsing calves before re-emergence of clinical disease.

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  • Over a 10-day observation period post-treatment, dairy calves that recovered from BRD demonstrated increased starter feed intake and heightened activity compared to those that relapsed, which displayed reduced feeding and extended periods of lying down.

    “Over a 10-day observation period post-treatment, calves that recovered demonstrated increased starter feed intake and heightened activity compared to those that relapsed, which displayed reduced feeding and extended periods of lying down.”

    From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [116]

  • Continuous monitoring of feeding and activity patterns may enable the early identification of calves at risk of relapse before clinical signs reappear.

    “Continuous monitoring of feeding and activity patterns may enable the early identification of calves at risk of relapse before clinical signs reappear.”

    From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [116]

  • Precision technology devices such as automatic feeders and pedometers could be pivotal in gauging the recovery status of calves post-BRD treatment.

    “These findings indicate that precision technology devices, such as automatic feeders and pedometers, could be pivotal in gauging the recovery status of calves post-BRD treatment.”

    From Strategies for Bovine Respiratory Disease (BRD) Diagnosis and Prognosis: A Comprehensive Overview (2024) · cites this paper as [116]

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Research works printed but not linked: 46

  1. [1]Urie, N. J. et al. Preweaned heifer management on US dairy operations: Part V. Factors associated with morbidity and mortality in preweaned dairy heifer calves. J. Dairy Sci.101, 9229–9244. 10.3168/jds.2017-14019 (2018). PMC7094390 29935825 · DOI
  2. [2]Bednarek D The effect of steroidal and non-steroidal anti-inflammatory drugs on the cellular immunity of calves with experimentally-induced local lung inflammation Vet. Immunol. Immunopathol. 1999 71 1 15 10.1016/S0165-2427(99)00076-8 10522782 · DOI
  3. [3]Hart BL Hart LA Sickness behavior in animals: implications for health and wellness Encyclop. Anim. Behav. 2019 1 171 175 10.1016/B978-0-12-809633-8.20750-4 · DOI
  4. [4]Morrison J Predicting morbidity and mortality using automated milk feeders: A scoping review J. Dairy Sci. 2021 104 7177 7194 10.3168/jds.2020-19645 33741152 · DOI
  5. [7]Cramer MC Proudfoot KL Ollivett TL Short communication: Behavioral attitude scores associated with bovine respiratory disease identified using calf lung ultrasound and clinical respiratory scoring J. Dairy Sci. 2019 102 6540 6544 10.3168/jds.2018-15550 31056329 · DOI · Paper page
  6. [8]Love WJ Sensitivity and specificity of on-farm scoring systems and nasal culture to detect bovine respiratory disease complex in preweaned dairy calves J. Vet. Diagn. Invest. 2016 28 119 128 10.1177/1040638715626204 26796957 · DOI · Paper page
  7. [10]Bull EM Bartram DJ Cock B Odeyemi I Main DCJ Construction of a conceptual framework for assessment of health-related quality of life in calves with respiratory disease Animal 2021 15 100191 10.1016/j.animal.2021.100191 33640293 · DOI
  8. [11]Welling V Lundeheim N Bengtsson B A pilot study in sweden on efficacy of benzylpenicillin, oxytetracycline, and florfenicol in treatment of acute undifferentiated respiratory disease in calves Antibiotics 2020 9 736 10.3390/antibiotics9110736 PMC7692533 33114681 · DOI
  9. [12]Heins BD Nydam DV Woolums AR Berghaus RD Overton MW Comparative efficacy of enrofloxacin and tulathromycin for treatment of preweaning respiratory disease in dairy heifers J. Dairy Sci. 2014 97 372 382 10.3168/jds.2013-6696 24183689 · DOI
  10. [13]Skogerboe TL Comparative efficacy of tulathromycin versus florfenicol and tilmicosin against undifferentiated bovine respiratory disease in feedlot cattle Vet. Ther. 2005 6 180 196 16094565
  11. [14]Lhermie G Toutain P-L El Garch F Bousquet-Mélou A Assié S Implementing precision antimicrobial therapy for the treatment of bovine respiratory disease: Current limitations and perspectives Front. Vet. Sci. 2017 4 143 143 10.3389/fvets.2017.00143 28900616 PMC5581812 · DOI
  12. [15]Eckelkamp EA Bewley JM On-farm use of disease alerts generated by precision dairy technology J. Dairy Sci. 2020 103 1566 1582 10.3168/jds.2019-16888 31759584 · DOI
  13. [16]Bowen JM Early prediction of respiratory disease in preweaning dairy calves using feeding and activity behaviors J. Dairy Sci. 2021 104 12009 12018 10.3168/jds.2021-20373 34454762 · DOI
  14. [17]Dittrich I Variable selection for monitoring sickness behavior in lactating dairy cattle with the application of control charts J. Dairy Sci. 2021 104 7956 7970 10.3168/jds.2020-19680 33814146 · DOI
  15. [18]Conboy MH Associations between feeding behaviors collected from an automated milk feeder and disease in group-housed dairy calves in Ontario: A cross-sectional study J. Dairy Sci. 2021 104 10183 10193 10.3168/jds.2021-20137 34099289 · DOI
  16. [19]Knauer WA Godden SM Dietrich A James RE The association between daily average feeding behaviors and morbidity in automatically fed group-housed preweaned dairy calves J. Dairy Sci. 2017 100 5642 5652 10.3168/jds.2016-12372 28478006 · DOI · Paper page
  17. [20]Duthie CA Feeding behaviour and activity as early indicators of disease in pre-weaned dairy calves Animal 2021 15 100150 10.1016/j.animal.2020.100150 33573932 · DOI
  18. [21]Swartz TH Findlay AN Petersson-Wolfe CS Short communication: Automated detection of behavioral changes from respiratory disease in pre-weaned calves J. Dairy Sci. 2017 100 9273 9278 10.3168/jds.2016-12280 28918146 · DOI
  19. [22]Kayser WC Evaluation of statistical process control procedures to monitor feeding behavior patterns and detect onset of bovine respiratory disease in growing bulls J. Anim. Sci. 2018 97 1158 1170 10.1093/jas/sky486 PMC6396243 30590611 · DOI
  20. [23]Sargeant J Methods and processes of developing the Strengthening the Reporting of Observational Studies in Epidemiology-Veterinary (STROBE-Vet) statement J. Vet. Intern. Med. 2016 30 1887 1895 10.1016/j.prevetmed.2016.09.005 27859753 PMC5115188 · DOI
  21. [24]Cantor MC Renaud DL Costa JHC Nutraceutical intervention with colostrum replacer: Can we reduce disease hazard, ameliorate disease severity, and improve performance in preweaned dairy calves? J. Dairy Sci. 2021 104 7168 7176 10.3168/jds.2020-19654 33741151 · DOI
  22. [25]McGuirk SM Peek SF Timely diagnosis of dairy calf respiratory disease using a standardized scoring system Anim. Health Res. Rev. 2014 15 145 10.1017/S1466252314000267 25410122 · DOI · Paper page
  23. [27]Walking activity and behavior frequency Silper, B., et al. Automated and visual measurements of estrous behavior and their sources of variation in Holstein heifers. I Theriogenology 2015 84 312 320 10.1016/j.theriogenology.2014.12.029 25917883 · DOI
  24. [28]Gladden N Cuthbert E Ellis K McKeegan D Use of a tri-axial accelerometer can reliably detect play behaviour in newborn calves Animals 2020 10 1137 10.3390/ani10071137 PMC7401565 32635608 · DOI
  25. [29]Neave HW Weary DM von Keyserlingk MAG Review: Individual variability in feeding behaviour of domesticated ruminants Animal 2018 12 s419 s430 10.1017/s1751731118001325 30109831 · DOI
  26. [30]Johnson RW The concept of sickness behavior: A brief chronological account of four key discoveries Vet. Immunol. Immunopathol. 2002 87 443 450 10.1016/S0165-2427(02)00069-7 12072271 · DOI
  27. [31]Radostits, O. M., Gay, C. C., Hinchcliff, K. W. & Constable, P. D. Veterinary Medicine E-Book: A textbook of the diseases of cattle, horses, sheep, pigs and goats. Elsevier Health Sciences, (2006).
  28. [32]Buczinski S Achard D Timsit E Effects of calfhood respiratory disease on health and performance of dairy cattle: A systematic review and meta-analysis J. Dairy Sci. 2021 10.3168/jds.2020-19941 33896639 · DOI
  29. [33]Rooney KA Efficacy of tulathromycin compared with tilmicosin and florfenicol for the control of respiratory disease in cattle at high risk of developing bovine respiratory disease Vet. Ther. 2005 6 154 16094563
  30. [34]Mellor DJ Updating animal welfare thinking: Moving beyond the “five freedoms” towards “a life worth living” Animals 2016 6 21 10.3390/ani6030021 PMC4810049 27102171 · DOI · Paper page
  31. [35]Holland B Effect of bovine respiratory disease during preconditioning on subsequent feedlot performance, carcass characteristics, and beef attributes J. Anim. Sci. 2010 88 2486 2499 10.2527/jas.2009-2428 20190167 · DOI
  32. [36]Toaff-Rosenstein RL Gershwin LJ Zanella AJ Tucker CB The sickness response in steers with induced bovine respiratory disease before and after treatment with a non-steroidal anti-inflammatory drug Appl. Anim. Behav. Sci. 2016 181 49 62 10.1016/j.applanim.2016.05.016 · DOI · Paper page
  33. [37]Belaid MA Rodríguez-Prado M Rodríguez-Prado DV Chevaux E Calsamiglia S Using behavior as an early predictor of sickness in veal calves J. Dairy Sci. 2019 103 1874 1883 10.3168/jds.2019-16887 31521341 · DOI
  34. [39]de Passillé AM Rushen J Using automated feeders to wean calves fed large amounts of milk according to their ability to eat solid feed J. Dairy Sci. 2016 99 3578 3583 10.3168/jds.2015-10259 26898277 · DOI
  35. [40]Neave HW Costa JHC Weary DM von Keyserlingk MAG Personality is associated with feeding behavior and performance in dairy calves J. Dairy Sci. 2018 101 7437 7449 10.3168/jds.2017-14248 29729921 · DOI
  36. [41]Benetton JB Neave HW Costa JHC Von Keyserlingk MAG Weary DM Automatic weaning based on individual solid feed intake: Effects on behavior and performance of dairy calves J. Dairy Sci. 2019 102 5475 5491 10.3168/jds.2018-15830 31005318 · DOI
  37. [42]Jensen MB Computer-controlled milk feeding of dairy calves: The effects of number of calves per feeder and number of milk portions on use of feeder and social behavior J. Dairy Sci. 2004 87 3428 3438 10.3168/jds.S0022-0302(04)73478-5 15377621 · DOI
  38. [44]Bednarek, D., Szymańska-Czerwińska, M. & Dudek, K. Bovine respiratory syndrome (BRD) etiopathogenesis, diagnosis and control. A Bird’s-Eye View of Veterinary Medicine. Dr. Carlos C. Perez-Marin (Ed.), 363–378 (2012).
  39. [45]Marchesini G Use of rumination and activity data as health status and performance indicators in beef cattle during the early fattening period Vet. J. 2018 231 41 47 10.1016/j.tvjl.2017.11.013 29429486 · DOI · Paper page
  40. [46]Ito K Von Keyserlingk M LeBlanc S Weary D Lying behavior as an indicator of lameness in dairy cows J. Dairy Sci. 2010 93 3553 3560 10.3168/jds.2009-2951 20655423 · DOI
  41. [47]Sepúlveda-Varas P Weary DM von Keyserlingk MAG Lying behavior and postpartum health status in grazing dairy cows J. Dairy Sci. 2014 97 6334 6343 10.3168/jds.2014-8357 25151885 · DOI
  42. [48]Kung L An evaluation of two management systems for rearing calves fed milk replacer J. Dairy Sci. 1997 80 2529 2533 10.3168/jds.S0022-0302(97)76206-4 9361225 · DOI
  43. [49]Khan MA Weary DM Von Keyserlingk MAG Invited review: effects of milk ration on solid feed intake, weaning, and performance in dairy heifers J. Dairy Sci. 2011 94 1071 10.3168/jds.2010-3733 21338773 · DOI · Paper page
  44. [50]Dolecheck KA Heersche G Jr Bewley JM Retention payoff-based cost per day open regression equations: Application in a user-friendly decision support tool for investment analysis of automated estrus detection technologies J. Dairy Sci. 2016 99 10182 10193 10.3168/jds.2015-10364 27665133 · DOI
  45. [51]Standing and lying patterns Silper, B. F. et al. Automated and visual measurements of estrous behavior and their sources of variation in Holstein heifers. II Theriogenology 2015 84 333 341 10.1016/j.theriogenology.2014.12.030 25917880 · DOI
  46. [52]Drewry J Shutske J Trechter D Luck B Pitman L Assessment of digital technology adoption and access barriers among crop, dairy and livestock producers in Wisconsin Comput. Electron. Agric. 2019 165 104960 10.1016/j.compag.2019.104960 · DOI

Cited by

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Authors
Cantor, M. C., Renaud, D. L., Neave, H. W., & Costa, J. H. C.
Affiliations
  • University of Kentucky (US)
  • University of Guelph (CA)
  • Aarhus University (DK)
Corresponding author
Costa, Joao H. C.
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2022-03-22
Volume
12
Issue
1
Pages
4854-4854
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-022-08131-1
PMC
PMC8940924
OpenAlex
W4221052600
Cited by
25
References
6
Citations by year
2026: 4 · 2025: 6 · 2024: 7 · 2023: 8
FWCI
5.81
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
United States Department of Agriculture NIFA Hatch Grant Project (KY007100)
Topics
  • Health Sciences › Veterinary › Small Animals › Animal health and immunology
  • Health Sciences › Veterinary › Small Animals › Animal Behavior and Welfare Studies
  • Life Sciences › Immunology and Microbiology › Microbiology › Microbial infections and disease research
Keywords
bovine respiratory disease, dairy calves, feeding behavior, locomotor activity, recovery status, relapse, enrofloxacin, automated feeding systems, pedometers, sickness behavior, starter intake, lying time, lung ultrasound, precision livestock farming
MeSH terms
Animals, Anti-Infective Agents, Anti-Bacterial Agents, Cattle, Cattle Diseases, Feeding Behavior, Respiration Disorders, Respiratory Tract Diseases, Weaning

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