Literature DB >> 19758477

Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor.

Jeffrey M Bewley1, Robert E Boyce, Jeremy Hockin, Lene Munksgaard, Susan D Eicher, Mark E Einstein, Michael M Schutz.   

Abstract

Time spent lying by lactating Holstein-Friesian cows of varying body condition scores (BCS) and milk yield was measured using an animal activity monitor. A 3-week average BCS was calculated for each cow; and in total, 84 cows were selected with 28 cows each among three BCS categories (Thin: BCS<2.75; Moderate: 2.75 > or = BCS<3.25; Heavy: BCS> or = 3.25) and two stage of lactation categories (<150 days in milk or >150 days in milk). Cows were kept in two management systems: parlour/freestall (n=60) or automated milking system/freestall (n=24). Behaviour was recorded for 5.3+/-0.1 d for each cow. Production levels were considered using a 28-d rolling average of daily milk production. Cows that exhibited clinical lameness before or during the observation period were excluded from analyses. For cows exhibiting oestrus, the day prior to, day of, and day following breeding were removed. The final analysis included 77 cows (408 d of observation). A mixed model was fitted to describe average daily hours spent lying. Results demonstrated that lying time increased as days in milk (DIM) increased (P=0.05). Variables that were tested but not significant (P>0.05) were BCS category, parity category (1 or 2) and 28-d rolling average daily milk production. Although a numerical trend for increasing hours spent lying with increasing BCS was observed, after accounting for other factors in the mixed model, BCS did not significantly impact lying time. Continued investigation of these management factors that impact lying time and bouts, using new technologies, more cows, and more herds will help dairy owners better manage facilities and cow movements to optimize this essential behaviour.

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Year:  2009        PMID: 19758477     DOI: 10.1017/S0022029909990227

Source DB:  PubMed          Journal:  J Dairy Res        ISSN: 0022-0299            Impact factor:   1.904


  9 in total

1.  Inferring an animal's environment through biologging: quantifying the environmental influence on animal movement.

Authors:  J A J Eikelboom; H J de Knegt; M Klaver; F van Langevelde; T van der Wal; H H T Prins
Journal:  Mov Ecol       Date:  2020-10-19       Impact factor: 3.600

Review 2.  Reproductive management in dairy cows - the future.

Authors:  Mark A Crowe; Miel Hostens; Geert Opsomer
Journal:  Ir Vet J       Date:  2018-01-08       Impact factor: 2.146

3.  Prepartum Lying Behavior of Holstein Dairy Cows Housed on Pasture through Parturition.

Authors:  Christa A Rice; Nicole L Eberhart; Peter D Krawczel
Journal:  Animals (Basel)       Date:  2017-04-14       Impact factor: 2.752

4.  Incomplete Milking in Early Lactation Does Not Affect Dairy Cows Resting Behaviors: Results from a Randomized Controlled Trial.

Authors:  Catarina Krug; Trevor J DeVries; Jean-Philippe Roy; Jocelyn Dubuc; Simon Dufour
Journal:  Front Vet Sci       Date:  2017-05-08

5.  Space-use patterns highlight behavioural differences linked to lameness, parity, and days in milk in barn-housed dairy cows.

Authors:  Jorge A Vázquez Diosdado; Zoe E Barker; Holly R Hodges; Jonathan R Amory; Darren P Croft; Nick J Bell; Edward A Codling
Journal:  PLoS One       Date:  2018-12-19       Impact factor: 3.240

6.  Risk factors associated with cows' lying time, stall and cows' own cleanliness in smallholder dairy farms in Kenya.

Authors:  E K Kathambi; J A VanLeeuwen; G K Gitau; C Kamunde
Journal:  Vet World       Date:  2019-07-21

7.  Multi-breed genome-wide association studies across countries for electronically recorded behavior traits in local dual-purpose cows.

Authors:  Tong Yin; Maria Jaeger; Carsten Scheper; Gregorz Grodkowski; Tomasz Sakowski; Marija Klopčič; Beat Bapst; Sven König
Journal:  PLoS One       Date:  2019-10-30       Impact factor: 3.240

8.  Evaluation of the Physical Properties of Bedding Materials for Dairy Cattle Using Fuzzy Clustering Analysis.

Authors:  Patrícia Ferreira Ponciano Ferraz; Gabriel Araújo E Silva Ferraz; Lorenzo Leso; Marija Klopčič; Giuseppe Rossi; Matteo Barbari
Journal:  Animals (Basel)       Date:  2020-02-22       Impact factor: 2.752

9.  Sensor and Video: Two Complementary Approaches for Evaluation of Dairy Cow Behavior after Calving Sensor Attachment.

Authors:  Johanna Pfeiffer; Olivia Spykman; Markus Gandorfer
Journal:  Animals (Basel)       Date:  2021-06-28       Impact factor: 2.752

  9 in total

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