Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-22T15:35:18.989Z Has data issue: false hasContentIssue false

Comparison of the feeding behaviour of primiparous and multiparous Jersey and Holstein cows kept under equal conditions throughout lactation

Published online by Cambridge University Press:  11 February 2022

Sandra Gündel*
Affiliation:
Hochschule Neubrandenburg – University of Applied Sciences, Department of Animal Breeding and Husbandry, Brodaer Str. 2, 17033 Neubrandenburg, Germany
Lene Munksgaard
Affiliation:
Department of Animal Science, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark
Christian Looft
Affiliation:
Hochschule Neubrandenburg – University of Applied Sciences, Department of Animal Breeding and Husbandry, Brodaer Str. 2, 17033 Neubrandenburg, Germany
Leslie Foldager
Affiliation:
Department of Animal Science, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark Bioinformatics Research Centre, Aarhus University, Universitetsbyen 81, 8000 Aarhus C, Denmark
*
Author for correspondence: Sandra Gündel, Email: [email protected]

Abstract

The objective of the study was to describe the feeding behaviour of primiparous and multiparous Jersey cows compared to Holstein cows housed in separate groups in the same barn. Such information could help farmers to optimise management with respect to welfare and production. Yet, it remains limited for Jersey cows over the entire period of lactation. Feeding data of 116 Danish Jersey (mean parity 2.14 ± 1.32) and 218 Danish Holstein cows (mean parity 1.90 ± 1.16) were assessed using automatic feeders from day 15 to 252 of lactation. Total eating duration, duration of eating per visit, intervals between meals, number of visits per day and the eating rate were analysed using linear mixed effects models. The cows were kept in a loose-housing system, with cubicles and automatic milking robots, and the group composition was dynamic. Compared to Holstein cows, Jersey cows visited the feeder significantly more often with shorter between meal intervals. However, the visit duration and total daily eating time and eating rates were significantly shorter for Jersey cows. There was no difference between breeds in the daily eating time and eating rate of older cows. Younger Jersey cows had significantly lower eating rates than older Jersey cows. No other difference in parity was found within Jersey cows. Weeks in milk significantly affected the eating time per day, number of visits per day and eating rate. The trajectories of outcome variables during lactation did not differ between the two breeds. In conclusion, we found substantial differences in the feeding behaviour of Jersey and Holstein cows, however, these differences could also be related to a group effect.

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

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

Aikman, PC, Reynolds, CK and Beever, DE (2008) Diet digestibility, rate of passage, and eating and rumination behavior of Jersey and Holstein cows. Journal of Dairy Science 91, 11031114.CrossRefGoogle ScholarPubMed
Arave, CW and Albright, JL (1976) Social rank and physiological traits of dairy-cows as influenced by changing group membership. Journal of Dairy Science 59, 974981.CrossRefGoogle ScholarPubMed
Azizi, O, Kaufmann, O and Hasselmann, L (2009) Relationship between feeding behaviour and feed intake of dairy cows depending on their parity and milk yield. Livestock Science 122, 156161.CrossRefGoogle Scholar
Beauchemin, KA (2018) Invited review: current perspectives on eating and rumination activity in dairy cows. Journal of Dairy Science 101, 47624784.CrossRefGoogle ScholarPubMed
Bossen, D, Weisbjerg, MR, Munksgaard, L and Hojsgaard, S (2009) Allocation of feed based on individual dairy cow live weight changes I: feed intake and live weight changes during lactation. Livestock Science 126, 252272.CrossRefGoogle Scholar
Capper, JL and Cady, RA (2012) A comparison of the environmental impact of Jersey compared with Holstein milk for cheese production. Journal of Dairy Science 95, 165176.CrossRefGoogle ScholarPubMed
Dado, RG and Allen, MS (1994) Variation in and relationships among feeding, chewing and drinking variables for lactating dairy-cows. Journal of Dairy Science 77, 132144.CrossRefGoogle ScholarPubMed
De Vries, A and Marcondes, MI (2020) Review: overview of factors affecting productive lifespan of dairy cows. Animal: An International Journal of Animal Bioscience 14, S155S164.CrossRefGoogle ScholarPubMed
DeVries, TJ, Beauchemin, KA and von Keyserlingk, MAG (2007) Dietary forage concentration affects the feed sorting behavior of lactating dairy cows. Journal of Dairy Science 90, 55725579.CrossRefGoogle ScholarPubMed
du Toit, J, van Wyk, JB and Maiwashe, A (2012) Relationships between functional herd life and conformation traits in the South African Jersey breed. South African Journal of Animal Science 42, 4754.Google Scholar
Durst, B, Senn, M and Langhans, W (1993) Eating patterns of lactating dairy-cows of 3 different breeds fed grass ad-lib. Physiology & Behavior 54, 625631.CrossRefGoogle Scholar
Gomez, A and Cook, NB (2010) Time budgets of lactating dairy cattle in commercial freestall herds. Journal of Dairy Science 93, 57725781.CrossRefGoogle ScholarPubMed
Gonzalez, LA, Tolkamp, BJ, Coffey, MP, Ferret, A and 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, 10171028.CrossRefGoogle ScholarPubMed
Gröhn, YT, Rajala-Schultz, PJ, Allore, HG, DeLorenzo, MA, Hertl, JA and Galligan, DT (2003) Optimizing replacement of dairy cows: modeling the effects of diseases. Preventive Veterinary Medicine 61, 2743.CrossRefGoogle ScholarPubMed
Heins, BJ, Hansen, LB, Seykora, AJ, Johnson, DG, Linn, JG, Romano, JE and Hazel, AR (2008) Crossbreds of Jersey × Holstein compared with pure Holsteins for production, fertility, and body and udder measurements during first lactation. Journal of Dairy Science 91, 12701278.CrossRefGoogle ScholarPubMed
Henriksen, JCS, Weisbjerg, MR, Lovendahl, P, Kristensen, T and Munksgaard, L (2019) Effects of an individual cow concentrate strategy on production and behavior. Journal of Dairy Science 102, 21552172.CrossRefGoogle ScholarPubMed
Hickson, RE, Lopez-Villalobos, N, Dalley, DE, Clark, DA and Holmes, CW (2006) Yields and persistency of lactation in Friesian and Jersey cows milked once daily. Journal of Dairy Science 89, 20172024.CrossRefGoogle ScholarPubMed
Hoffman, JM and Valencak, TG (2020) A short life on the farm: aging and longevity in agricultural, large-bodied mammals. Geroscience 42, 909922.CrossRefGoogle Scholar
ICAR (2019) Yearly Survey on the Situation of Milk Recording Systems (Years 2016, 2017 and 2018) in ICAR Member Countries for cow, Sheep and Goats. Rome, Italy: The International Committee for Animal Recording. Available at https://www.icar.org/wp-content/uploads/2019/07/Survey-on-milk-recording-systems-in-cows-sheep-and-goats-2016-2017-and-2018.pdf.Google Scholar
Johnston, C and DeVries, TJ (2018) Short communication: associations of feeding behavior and milk production in dairy cows. Journal of Dairy Science 101, 33673373.CrossRefGoogle ScholarPubMed
Kaufmann, O, Azizi, O and Hasselmann, L (2007) Feeding behaviour of high yielding dairy cows during early lactation. Zuchtungskunde 79, 219230.Google Scholar
Llonch, P, Mainau, E, Ipharraguerre, IR, Bargo, F, Tedo, G, Blanch, M and 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, 11.10.3389/fvets.2018.00305CrossRefGoogle ScholarPubMed
Neave, HW, Lomb, J, von Keyserlingk, MAG, Behnam-Shabahang, A and Weary, DM (2017) Parity differences in the behavior of transition dairy cows. Journal of Dairy Science 100, 548561.CrossRefGoogle ScholarPubMed
Nielsen, BL (1999) On the interpretation of feeding behaviour measures and the use of feeding rate as an indicator of social constraint. Applied Animal Behaviour Science 63, 7991.CrossRefGoogle Scholar
Rehberg, G (2019) [Preface]. Jerseyblatt Verband Deutscher Jerseyzüchter e.V.: Altenberge.Google Scholar
Roxburgh, K (2018) Annual report. Jersey Canada Jersey Canada: Ontario.Google Scholar
Sarova, R, Spinka, M, Stehulova, I, Ceacero, F, Simeckova, M and Kotrba, R (2013) Pay respect to the elders: age, more than body mass, determines dominance in female beef cattle. Animal Behaviour 86, 13151323.CrossRefGoogle Scholar
Segerkvist, KA, Hansson, H, Sonesson, U and Gunnarsson, S (2020) Research on environmental, economic, and social sustainability in dairy farming: a systematic mapping of current literature. Sustainability 12, 14.Google Scholar
Smith, DL, Smith, T, Rude, BJ and Ward, SH (2013) Short communication: comparison of the effects of heat stress on milk and component yields and somatic cell score in Holstein and Jersey cows. Journal of Dairy Science 96, 30283033.CrossRefGoogle ScholarPubMed
Tolkamp, BJ, Schweitzer, DPN and Kyriazakis, I (2000) The biologically relevant unit for the analysis of short-term feeding behavior of dairy cows. Journal of Dairy Science 83, 20572068.CrossRefGoogle ScholarPubMed
Tsuruta, S, Misztal, I and Lawlor, TJ (2005) Changing definition of productive life in US Holsteins: effect on genetic correlations. Journal of Dairy Science 88, 11561165.CrossRefGoogle ScholarPubMed
VDJ (2020) [Performance development of German Jersey herd-book cows]. Jerseyblatt Verband Deutscher Jerseyzüchter e.V.: Altenberge pp. 28.Google Scholar
von Keyserlingk, MAG and Weary, DM (2010) Review: feeding behaviour of dairy cattle: meaures and applications. Canadian Journal of Animal Science 90, 303309.CrossRefGoogle Scholar
WHFF (2018) Annual Statistics. World Holstein Friesian Federation Available at http://www.whff.info/documentation/statistics.php#go1.Google Scholar
Supplementary material: PDF

Gündel et al. supplementary material

Gündel et al. supplementary material

Download Gündel et al. supplementary material(PDF)
PDF 319.4 KB