Associations of Grazing and Rumination Behaviours with Performance Parameters in Spring-Calving Dairy Cows in a Pasture-Based Grazing System

Author:

Iqbal Muhammad Wasim1,Draganova Ina1ORCID,Morel Patrick Charles Henry1,Morris Stephen Todd1ORCID

Affiliation:

1. School of Agriculture and Environment, College of Sciences, Massey University, Private Bag 11-222, Palmerston North 4442, New Zealand

Abstract

This study investigated the relationship of the length of time spent grazing and ruminating with the performance parameters of spring-calved grazing dairy cows (n = 162) over the lactation period for three lactation seasons (n = 54 per season). The cows were Holstein Friesian (HFR), Jersey (JE), and a crossbreed of Holstein Friesian/Jersey (KiwiCross), with 18 cows from each breed. The cows were either in their 1st, 2nd, 3rd, or 4th lactation year, and had different breeding worth (BW) index values (103 < BW > 151). The cows were managed through a rotational grazing scheme with once-a-day milking in the morning at 05:00 h. The cows were mainly fed on grazed pastures consisting of perennial ryegrass (Lolium perenne), red clover (Trifolium pretense), and white clover (Trifolium repens), and received additional feeds on various days in the summer and autumn seasons. This study used an automated AfiCollar device to continuously record the grazing time and rumination time (min/h) of the individual cows throughout the lactation period (~270 days) for three consecutive years (Year-1, Year-2, and Year-3). The milk yield, milk fat, milk protein, milk solids, liveweight, and body condition score data of the individual animals for the study years were provided by the farm. PROC CORR was used in SAS to determine the correlation coefficients (r) between the behaviour and production parameters. A general linear model fitted with breed × lactation year, individual cows, seasons, feed within the season, grazing time, rumination time, as well as their interactions, was assessed to test the differences in milk yield, milk fat, milk protein, milk solids, liveweight, and body condition score. The type I sum of squares values were used to quantify the magnitude of variance explained by each of the study factors and their interactions in the study variables. Grazing time exhibited positive associations with MY (r = 0.34), MF (r = 0.43), MP (r = 0.22), MS (r = 0.39), LW (r = −0.47), and BCS (r = −0.24) throughout the study years. Rumination time was associated with MY (r = 0.64), MF (r = 0.57), MP (r = 0.52), and MS (r = 0.57) in all study years, while there were no effects of rumination time on LW (r = 0.26) and BCS (r = −0.26). Grazing time explained up to 0.32%, 0.49%, 0.17%, 0.31%, 0.2%, and 0.02%, and rumination time explained up to 0.39%, 6.73%, 4.63%, 6.53%, 0.44%, and 0.17% of the variance in MY, MF, MP, MS, LW, and BCS, respectively.

Funder

Ministry for Primary Industries New Zealand

New Zealand Agriculture Greenhouse Gas Research Centre

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

Reference61 articles.

1. Holmes, C.W., Brookes, I.M., Garrick, D.J., MacKenzie, D.D.S., Parkinson, T.J., and Wilson, G.F. (2002). Milk Production from Pasture. Principles and Practices, Massey University.

2. O’Kiely, P. (1994). The Cost of Feedstuffs for Cattle, R & H Hall. R & H Hall Technical Bulletin, No. 6.

3. Murphy, J. (2005). Utilisation of Grazed Grass in Temperate Animal Systems, Wageningen Academic Publishers.

4. Performance and Nutrient Intake of High Producing Holstein Cows Consuming Pasture or a Total Mixed Ration;Kolver;J. Dairy Sci.,1998

5. Dietary Preference of Dairy Cows Grazing Ryegrass and White Clover;Rutter;J. Dairy Sci.,2004

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