Identification of the Rumination in Cattle Using Support Vector Machines with Motion-Sensitive Bolus Sensors

Hamilton, Andrew; Davison, Chris; Tachtatzis, Christos; Andonović, Ivan; Michie, Craig; Ferguson, Holly J.; Somerville, L.; Jonsson, N.N.

doi:10.3390/s19051165

Cited by 51 publications

(41 citation statements)

References 30 publications

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“…Once in its intended location in the reticulum, the probe is in an almost horizontal position with respect to the longitudinal axis. Acceleration measurements may be influenced by factors such as the flow of the contents of the reticulorumen and reticuloruminal motion [3,15]. In the present study, there were many periods during which relatively clear data dominated the signal.…”

Section: Discussionmentioning

confidence: 52%

“…A force transducer method requires surgery, and it is difficult to carry out continuous ultrasonography measurements over a long term. More recently, bolus wireless sensors with an accelerometer were developed, and several research groups have attempted to assess the function of reticulorumen such as rumination or the motion of reticulorumen in cattle [3,15,20]. It has been unclear whether a bolus wireless sensor with an accelerometer can assess the ruminal motility in cattle.…”

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confidence: 99%

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Evaluation of ruminal motility in cattle by a bolus-type wireless sensor

et al. 2019

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We evaluated the relationship between ruminal motility measured by a force transducer and acceleration measured by bolus sensor, and we assessed the detection of ruminal motility in cattle by a bolus-type wireless sensor. The bolus sensor can be orally administered to cattle and was placed in the reticulum for continuous measurements. The probe was almost horizontal to the longitudinal axis. The bolus sensor's basic y-axis acceleration movement appeared to have a very distinct vertical pattern, occurring roughly 1−1.5 times/min with a duration of approximately 8 sec, displaying at around 500 mG. A significant positive correlation was observed between the ruminal contraction revealed by the force transducer and the acceleration shown by the bolus sensor (P<0.01). The contraction of the dorsal sac of the rumen and the acceleration signals in the reticulum occurred at practically the same time. The frequency and amplitude of ruminal contraction demonstrated by the bolus sensor and the force transducer in feeding were significantly higher than those at rest (P<0.01). The bolus sensor could also detect ruminal atony in the cattle after the administration of xylazine. A bolus-type wireless sensor may thus be useful for the measurement of ruminal motility in cattle and for detecting rumen dysfunction (e.g., ruminal atony).

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Section: Discussionmentioning

confidence: 52%

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confidence: 99%

Evaluation of ruminal motility in cattle by a bolus-type wireless sensor

et al. 2019

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“…To ensure that we obtained data that reflected the dietary challenge rather than a post-adaptation period, we censored the data to include only those observations from the first 5 d after the introduction of each of the three treatments (CON, HSt and HSu). Motility readings were initially processed as described by Hamilton et al (2019) to generate a time series of values at 4 ′ 30 ′′ intervals (270 s) for activity (representing the variance in the energy of the movement vector) and inter-contraction interval (period). To reduce the noise caused by extraneous movements of cattle, a night-only data-frame was established using observations recorded from 21 : 00 until 07 : 00.…”

Section: Statistical Analysis: Reticuloruminal Ph and Motilitymentioning

confidence: 99%

Contrasting effects of high-starch and high-sugar diets on ruminal function in cattle

Francesio

Viora

Denwood

et al. 2020

Journal of Dairy Research

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The experiment reported in this research paper aimed to determine whether clinical and subclinical effects on cattle were similar if provided with isoenergetic and isonitrogenous challenge diets in which carbohydrate sources were predominantly starch or sugar. The study was a 3 × 3 Latin square using six adult Jersey cows with rumen cannulae, over 9 weeks. In the first 2 weeks of each 3 week experimental period cows were fed with a maintenance diet and, in the last week, each animal was assigned to one of three diets: a control diet (CON), being a continuation of the maintenance diet; a high starch (HSt) or a high sugar (HSu) diet. Reticuloruminal pH and motility were recorded throughout the study period. Blood and ruminal samples were taken on day-1 (TP-1), day-2 (TP-2) and day-7 (TP-7) of each challenge week. Four clinical variables were recorded daily: diarrhoea, inappetence, depression and ruminal tympany. The effects of treatment, hour of day and day after treatment on clinical parameters were analysed using linear mixed effects (LME) models. Although both challenge diets resulted in a decline in pH, an increase in the absolute pH residuals and an increase in the number of minutes per day under pH 5.8, systemic inflammation was only detected with the HSt diet. The challenge diets differentially modified amplitude and period of reticuloruminal contractions compared with CON diet and both were associated with an increased probability of diarrhoea. The HSu diet reduced the probability of an animal consuming its complete allocation. Because the challenge diets were derived from complex natural materials (barley and molasses respectively), it is not possible to assign all the differential effects to the difference in starch and sugar concentration: non-starch components of barley or non-sugar components of molasses might have contributed to some of the observations. In conclusion, substituting much of the starch with sugar caused no substantial reduction in the acidosis load, but inflammatory response was reduced while feed rejection was increased.

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“…In ruminant species, measuring rumen pH can indicate metabolic and nutritional dysfunctions associated with negative welfare implications such as acidosis (Leek, 1983;Hamilton et al, 2019). There are various sensors available to measure H-ion concentration in the rumen by electrical means.…”

Section: Biomarkersmentioning

confidence: 99%

“…There are various sensors available to measure H-ion concentration in the rumen by electrical means. These sensors (or boluses) are usually coupled with radio-frequency transmitters for continuous real-time data acquisition and there are already various commercially available devices (Mottram et al, 2008;Kim H. et al, 2018;Hamilton et al, 2019). Technology prices are decreasing over time and its quality is improving (e.g., robustness, battery life).…”

Section: Biomarkersmentioning

confidence: 99%

Large-Scale Phenotyping of Livestock Welfare in Commercial Production Systems: A New Frontier in Animal Breeding

et al. 2020

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Genomic breeding programs have been paramount in improving the rates of genetic progress of productive efficiency traits in livestock. Such improvement has been accompanied by the intensification of production systems, use of a wider range of precision technologies in routine management practices, and high-throughput phenotyping. Simultaneously, a greater public awareness of animal welfare has influenced livestock producers to place more emphasis on welfare relative to production traits. Therefore, management practices and breeding technologies in livestock have been developed in recent years to enhance animal welfare. In particular, genomic selection can be used to improve livestock social behavior, resilience to disease and other stress factors, and ease habituation to production system changes. The main requirements for including novel behavioral and welfare traits in genomic breeding schemes are: (1) to identify traits that represent the biological mechanisms of the industry breeding goals; (2) the availability of individual phenotypic records measured on a large number of animals (ideally with genomic information); (3) the derived traits are heritable, biologically meaningful, repeatable, and (ideally) not highly correlated with other traits already included in the selection indexes; and (4) genomic information is available for a large number of individuals (or genetically close individuals) with phenotypic records. In this review, we (1) describe a potential route for development of novel welfare indicator traits (using ideal phenotypes) for both genetic and genomic selection schemes; (2) summarize key indicator variables of livestock behavior and welfare, including a detailed assessment of thermal stress in livestock; (3) describe the primary statistical and bioinformatic methods available for large-scale data analyses of animal welfare; and (4) identify major advancements, challenges, and opportunities to generate high-throughput and large-scale datasets to enable genetic and genomic selection for improved welfare in livestock. A wide variety of novel welfare indicator traits can be derived from information captured by modern technology such as sensors, automatic feeding systems, milking robots, activity monitors, video cameras, and

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Identification of the Rumination in Cattle Using Support Vector Machines with Motion-Sensitive Bolus Sensors

Cited by 51 publications

References 30 publications

Evaluation of ruminal motility in cattle by a bolus-type wireless sensor

Evaluation of ruminal motility in cattle by a bolus-type wireless sensor

Contrasting effects of high-starch and high-sugar diets on ruminal function in cattle

Large-Scale Phenotyping of Livestock Welfare in Commercial Production Systems: A New Frontier in Animal Breeding

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