Assessment of RumiWatch noseband sensors for the quantification of ingestive behaviors of dairy cows at grazing or fed in stalls

Norbu, Nawang; Alvarez-Hess, P.S.; Leury, Brian J; Wright, M. M.; Douglas, M.L.; Moate, P. J.; Williams, S.R.O.; Marett, L. C.; Garner, Josie B.; Wales, William J.; Auldist, M.J.

doi:10.1016/j.anifeedsci.2021.115076

Cited by 12 publications

(3 citation statements)

References 26 publications

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“…The RumiWatch noseband sensor (Itin & Hoch GmbH, Liestal, Switzerland) (Werner et al, 2018) was used to monitor each steer's grazing behaviour for four consecutive days between 12 and 30 August (day 144-162 of the grazing season). The RumiWatch converter V.0.7.3.36 was used to convert the grazing behaviour data into 1 h summaries (Itin & Hoch GmbH) (Werner et al, 2018;Norbu et al, 2021). During this 4-day measurement period, herbage was offered to each grazing treatment group on a 48 h schedule, allowing each grazing treatment group to graze their respective PGHM to PGSH twice.…”

Section: Animal Measurementsmentioning

confidence: 99%

Effect of pre-grazing herbage mass and post-grazing sward height on herbage production and intake and performance of suckler-bred steers within a weanling-to-beef production system

et al. 2023

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The current study investigated the effects of pre-grazing herbage mass (PGHM, 1500 or 2500 kg dry matter (DM)/ha) and post-grazing sward height (PGSH, 4 or 6 cm) on herbage production and its nutritive value and DM intake, grazing behaviour and growth of Charolais steers (n = 96; 12 months of age; 396 ± 19.0 kg) during a 222-day grazing season, and the subsequent effect of an indoor finishing diet (grass silage alone or supplemented with concentrates) for 146 days, on performance and carcass traits. Steers were assigned to one of 12 grazing groups and group was assigned to a 2 (PGHM) × 2 (PGSH) factorial arrangement of treatments. At the end of the grazing season, live-weight was 16 kg heavier for PGHM-1500 than PGHM-2500 and 34 kg heavier for PGSH-6 than PGSH-4. After indoor finishing, there was no difference in carcass weight between PGHM treatments, but PGSH-6 had a 19 kg heavier carcass than PGSH-4. Herbage production was 881 and 517 kg DM/ha greater for PGHM-2500 than PGHM-1500 and for PGSH-4 than PGSH-6, respectively. Grazing stocking rate did not differ between PGHM treatments but PGSH-4 carried 1.35 more steers/ha than PGSH-6. Supplementing concentrates during the indoor period increased carcass weight (42 kg) and fat score (2.10 units). In conclusion, grazing to 6 rather than 4 cm, increased individual carcass weight but not carcass weight gain/ha. Compared to PGHM-2500, grazing PGHM-1500 increased steer live-weight gain at pasture, but did not affect carcass weight following indoor finishing.

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Section: Animal Measurementsmentioning

confidence: 99%

Effect of pre-grazing herbage mass and post-grazing sward height on herbage production and intake and performance of suckler-bred steers within a weanling-to-beef production system

et al. 2023

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“…Details of this system and method of operations with additional specifications have been presented in previous studies [5,18]. The NBS has a pressure sensor integrated in the noseband of a halter, recording jaw movements and matching them to activities, such as eating (i.e., eating head-up position, and eating head-down position), ruminating, drinking and other activities [3,5,19]. In addition, data on the total eating chews (eating head-down, i.e., feed selection, acquisition and chewing; and eating head-up, i.e., mastication of the acquired feed and creating a bolus before swallowing) and total rumination chews were produced.…”

Section: Eating Rumination Activities and Ruminal Fluid Phmentioning

confidence: 99%

Inclusion of Red Macroalgae (Asparagopsis taxiformis) in Dairy Cow Diets Modulates Feed Intake, Chewing Activity and Estimated Saliva Secretion

Nyløy

Prestløkken

Eknæs

et al. 2023

Animals

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The current study assessed the effects of red macroalgae Asparagopsis taxiformis (AT)—included as an enteric methane inhibitor—in dairy cow diets on feed intake and eating–rumination behaviour. Fifteen early lactating Norwegian Red dairy cows were offered ad libitum access to drinking water and a total mixed ration (TMR) composed of 35% concentrate feed and 65% grass silage on a dry matter (DM) basis. The experiment lasted for 74 days with the first 22 days on a common diet used as the covariate period. At the end of the covariate period, the cows were randomly allocated into one of three dietary treatments: namely, 0% AT (control), 0.125% AT and 0.25% AT in the TMR. The TMR was offered in individual feed troughs with AT blended in a 400 g (w/w) water–molasses mixture. Eating–rumination behaviour was recorded for 11 days using RumiWatchSystem after feeding the experimental diets for 30 days. The 0.25% AT inclusion significantly reduced the DM intake (DMI). Time (min/d) spent on eating and eating in a head-down position increased with the increasing AT level in the diet, whereas rumination time was not affected. The greater time spent on eating head-down with the 0.25% AT group resulted in a significantly higher chewing index (min/kg DMI). Estimated saliva production per unit DMI (L/kg DMI, SE) increased from 10.9 (0.4) in the control to 11.3 (0.3) and 13.0 (0.3) in the 0.125% and 0.25% AT groups, respectively. This aligned with the measured ruminal fluid pH (6.09, 6.14, and 6.37 in the control, 0.125% AT and 0.25% AT groups, respectively). In conclusion, either the level of the water–molasses mixture used was not sufficient to mask the taste of AT, or the cows used it as a cue to sort out the AT. Studies with relatively larger numbers of animals and longer adaptation periods than what we used here, with varied modes of delivery of the seaweed may provide novel strategies for administering the additive in ruminant diets.

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“…Recently, some studies utilized low-cost wearable devices to estimate the feed intake of the individual cow. By using wearable devices such as intelligent necklaces and nasal pressure sensors to collect eating behavior data of livestock, some feed intake prediction models [14][15][16][17] were built to estimate livestock feed intake. Galli et al proposed a method to estimate the dry matter intake (DMI) of grazing sheep based on biting and chewing sounds through acoustic monitoring of the ingestive behavior of grazing sheep [18] .…”

Section: Introductionmentioning

confidence: 99%

Vision-based measuring method for individual cow feed intake using depth images and a Siamese network

Wang,

Dai,

Wei

et al. 2023

International Journal of Agricultural and Biological Engineering

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Feed intake is an important indicator to reflect the production performance and disease risk of dairy cows, which can also evaluate the utilization rate of pasture feed. To achieve an automatic and non-contact measurement of feed intake, this paper proposes a method for measuring the feed intake of cows based on computer vision technology with a Siamese network and depth images. An automated data acquisition system was first designed to collect depth images of feed piles and constructed a dataset with 24 150 samples. A deep learning model based on the Siamese network was then constructed to implement non-contact measurement of feed intake for dairy cows by training with collected data. The experimental results show that the mean absolute error (MAE) and the root mean square error (RMSE) of this method are 0.100 kg and 0.128 kg in the range of 0-8.2 kg respectively, which outperformed existing works. This work provides a new idea and technology for the intelligent measuring of dairy cow feed intake.

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Assessment of RumiWatch noseband sensors for the quantification of ingestive behaviors of dairy cows at grazing or fed in stalls

Cited by 12 publications

References 26 publications

Effect of pre-grazing herbage mass and post-grazing sward height on herbage production and intake and performance of suckler-bred steers within a weanling-to-beef production system

Effect of pre-grazing herbage mass and post-grazing sward height on herbage production and intake and performance of suckler-bred steers within a weanling-to-beef production system

Inclusion of Red Macroalgae (Asparagopsis taxiformis) in Dairy Cow Diets Modulates Feed Intake, Chewing Activity and Estimated Saliva Secretion

Vision-based measuring method for individual cow feed intake using depth images and a Siamese network

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