Hostname: page-component-78c5997874-xbtfd Total loading time: 0 Render date: 2024-11-14T05:18:41.258Z Has data issue: false hasContentIssue false

Heat stress effects on Holstein dairy cows’ rumination

Published online by Cambridge University Press:  31 May 2017

R. Moretti*
Affiliation:
Dipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, Università di Firenze, Firenze, 50144, Italy
S. Biffani
Affiliation:
Istituto di Biologia e Biotecnologia Agraria (IBBA-CNR), Consiglio Nazionale delle Ricerche, Lodi, 26900, Italy
S. Chessa
Affiliation:
Istituto di Biologia e Biotecnologia Agraria (IBBA-CNR), Consiglio Nazionale delle Ricerche, Lodi, 26900, Italy
R. Bozzi
Affiliation:
Dipartimento di Scienze delle Produzioni Agroalimentari e dell’Ambiente, Università di Firenze, Firenze, 50144, Italy
Get access

Abstract

The objective of this study was to investigate the relationship between temperature–humidity index (THI) and rumination time (RT) in order to possibly exploit it as a useful tool for animal welfare improvement. During summer 2015 (1 June to 31 August), data from an Italian Holstein dairy farm located in the North of Italy were collected along with environmental data (i.e. ambient temperature and relative humidity) recorded with a weather station installed inside the barn. Rumination data were collected through the Heatime® HR system (SCR Engineers Ltd., Hadarim, Netanya, Israel), an automatic system composed of a neck collar with a Tag that records the RT and activity of each cow. A significant negative correlation was observed between RT and THI. Mixed linear models were fitted, including animal and test day as random effects, and parity, milk production level and date of last calving as fixed effects. A statistically significant effect of THI on RT was identified, with RT decreasing as THI increased.

Type
Research Article
Copyright
© The Animal Consortium 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Araki, CT, Nakamura, RM, Kam, LW and Clarke, N 1984. Effect of lactation on diurnal temperature patterns of dairy cattle in hot environments. Journal of Dairy Science 67, 17521760.CrossRefGoogle ScholarPubMed
Bar, D and Solomon, R 2010. Rumination collars: what can they tell us. In Proceedings of the First North American Conference on Precision Dairy Management, 2 to 5 March 2010, Toronto, Canada, pp. 214–215.Google Scholar
Bates, D, Mächler, M, Bolker, B and Walker, S 2015. Fitting linear mixed-effects models using lme4. Journal of Statistical Software 67, issue 1.CrossRefGoogle Scholar
Berman, A, Folman, Y, Kaim, M, Mamen, M, Herz, Z, Wolfenson, D, Arieli, A and Graber, Y 1985. Upper critical temperatures and forced ventilation effects for high-yielding dairy cows in a subtropical climate. Journal of Dairy Science 68, 14881495.CrossRefGoogle Scholar
Bernabucci, U, Biffani, S, Buggiotti, L, Vitali, A, Lacetera, N and Nardone, A 2014. The effects of heat stress in Italian Holstein dairy cattle. Journal of Dairy Science 97, 471486.CrossRefGoogle ScholarPubMed
Biffani, S, Bernabucci, U, Vitali, A, Lacetera, N and Nardone, A 2016. Short communication: Effect of heat stress on nonreturn rate of Italian Holstein cows. Journal of Dairy Science 99, 58375843.CrossRefGoogle ScholarPubMed
Blazquez, NB, Long, SE, Mayhew, TM, Perry, GC, Prescott, NJ and Wathes, C 1994. Rate of discharge and morphology of sweat glands in the perineal, lumbodorsal and scrotal skin of cattle. Research in Veterinary Science 57, 277284.CrossRefGoogle ScholarPubMed
Bouraoui, R, Lahmar, M, Majdoub, A, Djemali, M and Belyea, R 2002. The relationship of temperature-humidity index with milk production of dairy cows in a Mediterranean climate. Animal Research 51, 479491.CrossRefGoogle Scholar
Byskov, MV, Nadeau, E, Johansson, BEO and Nørgaard, P 2015. Variations in automatically recorded rumination time as explained by variations in intake of dietary fractions and milk production, and between-cow variation. Journal of Dairy Science 98, 39263937.CrossRefGoogle ScholarPubMed
Calegari, F, Calamari, L and Frazzi, E 2016. Cooling systems of the resting area in free stall dairy barn. International Journal of Biometeorology 60, 605614.CrossRefGoogle ScholarPubMed
de Mendiburu, F 2016. Agricolae: statistical procedures for agricultural research. R package version 1.2-4. Retrieved July 25, 2016 from https://CRAN.R-project.org/package=agricolae.Google Scholar
Erina, S, Cziszter, LT, Acatincăi, S, Baul, S, Tripon, I, Gavojdian, D, Răducan, GG and Buzamăt, G 2013. Research on rumination time according to administration order of forages in Romanian Black and White cows. Scientific Papers Animal Science and Biotechnologies 46, 302305.Google Scholar
Frazzi, E, Calamari, L, Calegari, F and Stefanini, L 2000. Behavior of dairy cows in response to different barn cooling systems. Transactions of the ASAE 43, 387394.CrossRefGoogle Scholar
García-Ispierto, I, López-Gatius, F, Bech-Sabat, G, Santolaria, P, Yániz, JL, Nogareda, C, De Rensis, F and López-Béjar, M 2007. Climate factors affecting conception rate of high producing dairy cows in northeastern Spain. Theriogenology 67, 13791385.CrossRefGoogle ScholarPubMed
Hahn, GL, Mader, TL and Eigenberg, RA 2003. Perspective on development of thermal indices for animal studies and management. In Interactions between climate and animal production (ed. N Lacetera, U Bernabucci, HH Khalifa, B Ronchi and A Nardone), p. 31044. Wageningen Academic Publishers, Wageningen, the Netherlands.Google Scholar
Johnson, HD 1980. Environmental management of cattle to minimize the stress of climate changes. International Journal of Biometeorology 24, 6578.Google Scholar
Kuznetsova, A, Brockhoff, PB and Christensen, RHB 2015. lmerTest: tests in linear mixed effects models. R package version 2.0-29. Retrieved July 25, 2016 from https://CRAN.R-project.org/package=lmerTest.Google Scholar
Magrin, L, Brscic, M, Lora, I, Rumor, C, Tondello, L, Cozzi, G and Gottardo, F 2016. Effect of a ceiling fan ventilation system on finishing young bulls’ health, behaviour and growth performance. Animal 11, 10841092.CrossRefGoogle ScholarPubMed
Moallem, U, Altmark, G, Lehrer, H and Arieli, A 2010. Performance of high-yielding dairy cows supplemented with fat or concentrate under hot and humid climates. Journal of Dairy Science 93, 31923202.CrossRefGoogle ScholarPubMed
Nardone, A, Ronchi, B, Lacetera, N, Ranieri, MS and Bernabucci, U 2010. Effects of climate changes on animal production and sustainability of livestock systems. Livestock Science 130, 5769.CrossRefGoogle Scholar
Omar, EA, Kirrella, AK, Fawzy, SA and El Keraby, F 1996. Effect of water spray followed by forced ventilation on some physiological status and milk production of post-calving Friesian cows. Alexandria Journal of Agricultural Research 41, 7181.Google Scholar
R Core Team 2014. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.Google Scholar
Roenfeldt, S 1998. You can’t afford to ignore heat stress. Dairy Herd Management 35, 6.Google Scholar
Schirmann, K, von Keyserlingk, MAG, Weary, DM, Veira, DM and Heuwieser, W 2009. Technical note: validation of a system for monitoring rumination in dairy cows. Journal of Dairy Science 92, 60526055.CrossRefGoogle ScholarPubMed
Schüller, LK, Burfeind, O and Heuwieser, W 2013. Short communication: comparison of ambient temperature, relative humidity, and temperature-humidity index between on-farm measurements and official meteorological data. Journal of Dairy Science 96, 77317738.CrossRefGoogle ScholarPubMed
Schüller, LK and Heuwieser, W 2016. Measurement of heat stress conditions at cow level and comparison to climate conditions at stationary locations inside a dairy barn. Journal of Dairy Research 83, 305311.CrossRefGoogle ScholarPubMed
Segnalini, M, Bernabucci, U, Vitali, A, Nardone, A and Lacetera, N 2013. Temperature humidity index scenarios in the Mediterranean basin. International Journal of Biometeorology 57, 451458.CrossRefGoogle ScholarPubMed
Soriani, N, Panella, G and Calamari, L 2013. Rumination time during the summer season and its relationships with metabolic conditions and milk production. Journal of Dairy Science 96, 50825094.CrossRefGoogle ScholarPubMed
Spahr, SL, Shanks, RD and McCoy, GC 1993. Lactation potential as a criterion for strategy of feeding total mixed rations to dairy cows. Journal of Dairy Science 76, 27232735.CrossRefGoogle ScholarPubMed
Vitali, A, Segnalini, M, Bertocchi, L, Bernabucci, U, Nardone, A and Lacetera, N 2009. Seasonal pattern of mortality and relationships between mortality and temperature-humidity index in dairy cows. Journal of Dairy Science 92, 37813790.CrossRefGoogle ScholarPubMed
Winsten, JR, Kerchner, CD, Richardson, A, Lichau, A and Hyman, JM 2010. Trends in the Northeast dairy industry: large-scale modern confinement feeding and management-intensive grazing. Journal of Dairy Science 93, 17591769.CrossRefGoogle ScholarPubMed
Xu, R 2003. Measuring explained variation in linear mixed effects models. Statistics in Medicine 22, 35273541.CrossRefGoogle ScholarPubMed
Supplementary material: File

Moretti supplementary material

Tables S1 and S2

Download Moretti supplementary material(File)
File 17.2 KB