Repeatability and Predictability of Calf Feeding Behaviors-Quantifying Between- and Within-Individual Variation for Precision Livestock Farming.

animal personality dairy calves feeding behavior health and welfare precision livestock farming

Journal

Frontiers in veterinary science
ISSN: 2297-1769
Titre abrégé: Front Vet Sci
Pays: Switzerland
ID NLM: 101666658

Informations de publication

Date de publication:
2022
Historique:
received: 01 12 2021
accepted: 16 02 2022
entrez: 18 4 2022
pubmed: 19 4 2022
medline: 19 4 2022
Statut: epublish

Résumé

Individual calves show substantial between- and within-individual variation in their feeding behavior, the existence and extent of which are not fully researched. In this study, 57,196 feeding records, collected by a computerized milk feeder from 48 pre-weaned calves over 5 weeks, were collated and analyzed for individual differences in three different feeding behaviors using a multi-level modeling approach. For each feeding behavior, we quantified behavioral variation by calculating repeatability and the coefficient of variation in predictability. Our results indicate that calves differed from each other in their average behavioral expression (behavioral type) and in their residual, within individual variation around their behavioral type (predictability). Feeding rate and total meals had the highest repeatability (>0.4) indicating that substantial, temporally stable between-individual differences exist for these behaviors. Additionally, for some behaviors (e.g., feeding rate) calves varied from more to less predictable whereas for other behaviors (e.g., meal size) calves were more homogenous in their within-individual variation around their behavioral type. Finally, we show that for individual calves, behavioral types for feeding rate and total meals were positively correlated which may suggest the existence of an underlying factor responsible for driving the (co)expression of these two behaviors. Our results highlight how the application of methods from the behavioral ecology literature can assist in improving our understanding of individual differences in calf feeding behavior. Furthermore, by uncovering consistencies between individual behavioral differences in calves, our results indicate that animal personality may play a role in driving variability in calf feeding behavior.

Identifiants

pubmed: 35433916
doi: 10.3389/fvets.2022.827124
pmc: PMC9009244
doi:

Types de publication

Journal Article

Langues

eng

Pagination

827124

Informations de copyright

Copyright © 2022 Carslake, Occhiuto, Vázquez-Diosdado and Kaler.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

Ecol Evol. 2021 May 03;11(12):7201-7210
pubmed: 34188806
Behav Ecol. 2017 Jul-Aug;28(4):948-952
pubmed: 29622923
Vet J. 2011 Oct;190(1):136-42
pubmed: 20947394
J Anim Ecol. 2013 Jan;82(1):39-54
pubmed: 23171297
J Anim Sci. 2009 Feb;87(2):770-7
pubmed: 18952731
J Anim Ecol. 2021 Mar;90(3):723-737
pubmed: 33301175
Anim Health Res Rev. 2014 Dec;15(2):145-7
pubmed: 25410122
Front Vet Sci. 2018 Jun 28;5:131
pubmed: 30003083
Proc Biol Sci. 2017 Oct 11;284(1864):
pubmed: 28978731
Trends Ecol Evol. 2004 Jul;19(7):372-8
pubmed: 16701288
J Anim Sci. 2016 Jun;94(6):2284-96
pubmed: 27285906
J Anim Ecol. 2020 Jan;89(1):68-79
pubmed: 31541578
J Dairy Sci. 2017 Jan;100(1):504-512
pubmed: 27865513
Anim Behav. 2009 Apr 1;77(4):771-783
pubmed: 24707058
Rev Sci Tech. 2014 Apr;33(1):189-96
pubmed: 25000791
J Dairy Sci. 2019 Nov;102(11):10250-10265
pubmed: 31477284
Biol Rev Camb Philos Soc. 2007 May;82(2):291-318
pubmed: 17437562
J Dairy Sci. 2018 Jul;101(7):6310-6321
pubmed: 29705427
J Dairy Sci. 2018 Aug;101(8):7437-7449
pubmed: 29729921
J Dairy Sci. 2020 Feb;103(2):1667-1684
pubmed: 31759590
Prev Vet Med. 2016 Dec 1;135:67-73
pubmed: 27931931
J Dairy Sci. 2018 Sep;101(9):8135-8145
pubmed: 30007809
J Dairy Sci. 2013 Jan;96(1):551-64
pubmed: 23164223
J Dairy Sci. 2007 Feb;90(2):994-7
pubmed: 17235177
Philos Trans R Soc Lond B Biol Sci. 2010 Dec 27;365(1560):4021-8
pubmed: 21078654
Vet J. 2016 Nov;217:43-51
pubmed: 27810210
Ecol Lett. 2007 May;10(5):355-63
pubmed: 17498134
J Appl Stat. 2019 Jun 15;47(13-15):2312-2327
pubmed: 35707424
Animal. 2020 May;14(5):1083-1092
pubmed: 31769385
Mov Ecol. 2020 Jun 29;8:30
pubmed: 32612837
Trends Ecol Evol. 2010 Feb;25(2):81-9
pubmed: 19748700
Anim Behav. 1999 Apr;57(4):807-817
pubmed: 10202089
Prev Vet Med. 2015 May 1;119(3-4):227-31
pubmed: 25794838
Trends Ecol Evol. 2004 Jun;19(6):334-43
pubmed: 16701280
Ecol Lett. 2012 Mar;15(3):278-89
pubmed: 22239107
J Comp Psychol. 1992 Dec;106(4):411-9
pubmed: 1451425
J Dairy Sci. 2018 Nov;101(11):10271-10282
pubmed: 30243630
Proc Biol Sci. 2013 Dec 11;281(1776):20132645
pubmed: 24335984
J Theor Biol. 1998 Sep 21;194(2):235-50
pubmed: 9778436
Animal. 2016 Oct;10(10):1575-84
pubmed: 26608699
J Dairy Sci. 2004 Dec;87(12):4190-4
pubmed: 15545382
Sensors (Basel). 2020 Dec 25;21(1):
pubmed: 33375636

Auteurs

Charles Carslake (C)

School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.

Francesca Occhiuto (F)

School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.

Jorge A Vázquez-Diosdado (JA)

School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.

Jasmeet Kaler (J)

School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, United Kingdom.

Classifications MeSH