Cattle Behavior Research Articles

A Case Study on the Use of Virtual Fencing to Intensively Graze Angus Heifers Using Moving Front and Back-Fences

Virtual fencing contains and controls grazing cattle using sensory cues rather than physical fences. The technology comprises a neckband-mounted device that delivers an audio cue when the animal nears a virtual boundary that has been set via global positioning system, followed by an electrical stimulus if it walks beyond the boundary. Virtual fencing has successfully been used to intensively graze cattle using a simple virtual front-fence, but a more complex intensive grazing system comprising moving virtual front and back-fences has not been assessed. We studied the effectiveness of virtual fencing technology to contain groups of Angus heifers within grazing cells defined by semi-permanent electric side-fences and virtual front and back-fences, compared to groups of heifers contained in cells defined only by electric fencing. Four groups of 10 Angus heifers were randomly allocated to a “control” (grazed with a conventional electric front and back-fence, n = 2 groups) or “virtual fence” treatment (grazed with a virtual front and back-fence, n = 2 groups). The groups of heifers grazed four adjacent experimental paddocks that were established using TechnoGrazing™ infrastructure. An estimated 9.5 kg pasture DM/heifer.day was offered in each of three 3 day allocations (9 day study period). Data collected include cues delivered by the neckbands, time beyond the virtual boundaries, pasture consumption for each allocation and heifer live weight changes over the study period. The virtual front and back-fences successfully contained one group of heifers in their grazing cell, but the second group of heifers spent an increasing amount of time in the exclusion zone during the second and third allocations and consequently received an increasing number of audio and electrical stimuli. There were no effects of electric or virtual-fence treatment on live weight change or pasture utilization. By grazing heifers in adjacent paddocks our experimental design may have produced a motivation for some heifers to cross the virtual boundary to regain close contact with familiar conspecifics. Despite this, valuable learnings were gained from this study. Most notably, virtual fencing should not be used to manage cattle that have close visual contact to other mobs. We conclude that the successful application of virtual fencing technology needs to accommodate the natural behaviors of cattle.

A Pilot Study Using Accelerometers to Characterise the Licking Behaviour of Penned Cattle at a Mineral Block Supplement

Simple SummaryQuantifying mineral block supplement intake by individual beef cattle is a challenging task but may enable improved efficiency of supplement use particularly in a grazed system. Estimating time spent licking when cattle access the mineral block supplement can be useful for predicting intake on an individual basis. The advancement of sensor technology has facilitated collection of individual data associated with ingestive behaviours such as feeding and licking duration. This experiment was intended to investigate the effectiveness of wearable tri-axial accelerometers fitted on both neck-collar and ear-tag to identify the licking behaviour of beef cattle by distinguishing it from eating, standing and lying behaviours. The capability of tri-axial accelerometers to classify licking behaviour in beef cattle revealed in this study would offer the possibility of measuring time spent licking and further developing a practical method of estimating mineral block supplement intake by individual grazing cattle.Identifying the licking behaviour in beef cattle may provide a means to measure time spent licking for estimating individual block supplement intake. This study aimed to determine the effectiveness of tri-axial accelerometers deployed in a neck-collar and an ear-tag, to characterise the licking behaviour of beef cattle in individual pens. Four, 2-year-old Angus steers weighing 368 ± 9.3 kg (mean ± SD) were used in a 14-day study. Four machine learning (ML) algorithms (decision trees [DT], random forest [RF], support vector machine [SVM] and k-nearest neighbour [kNN]) were employed to develop behaviour classification models using three different ethograms: (1) licking vs. eating vs. standing vs. lying; (2) licking vs. eating vs. inactive; and (3) licking vs. non-licking. Activities were video-recorded from 1000 to 1600 h daily when access to supplement was provided. The RF algorithm exhibited a superior performance in all ethograms across the two deployment modes with an overall accuracy ranging from 88% to 98%. The neck-collar accelerometers had a better performance than the ear-tag accelerometers across all ethograms with sensitivity and positive predictive value (PPV) ranging from 95% to 99% and 91% to 96%, respectively. Overall, the tri-axial accelerometer was capable of identifying licking behaviour of beef cattle in a controlled environment. Further research is required to test the model under actual grazing conditions.

A Retrospective Case Study into the Effect of Hoof Lesions on the Lying Behaviour of Holstein-Friesian in a Loose-Housed System.

Simple SummaryLameness is a substantial welfare and economic problem in production animals. It can alter indicators of welfare such as lying time. Lying down is very important for cows, and they are highly motivated to perform this behaviour for 12 h or more per day. Conversely, cows that lie down too much or are uncomfortable standing may miss an opportunity to feed or drink if there is competition from sound (non-lame) cows. This study monitored different lesions that cause lameness in cattle through the use of accelerometers. The lesions included sole ulcers, sole haemorrhage, white line disease, interdigital hyperplasia and phelgmon, and digital dermatitis. Leg-based activity monitors that track the cows’ lying behaviour and mobility were used. From these data, it was found that cows with lesions on the foot spent longer lying down than those with no lesions, and cows with lesions in the soft tissue spent less time lying down than those with foot lesions. Trimming the cows’ feet altered the lying times of the cows with foot lesions and returned them closer to those of cows with no lesions.The association between hoof lesions and lying behaviour was assessed on a Holstein–Friesian dairy farm in England. Twenty-nine cows were included in the study. Cows with claw horn disruption lesions (CHDL, n = 8), soft tissue lesions (STL, n = 6), and no lesions (NL, n = 15) were assessed. Data were collected on parity, days in milk (DIM), and mobility scores. Cows were trimmed and treated, and lesions were recorded by a professional foot trimmer. Lying behaviour was assessed before and after claw trimming. The milking herd (n = 96) prevalence of lameness was 32.3%. Mobility was scored using the Agriculture and Horticulture Development Board (AHDB) Mobility Scoring system. Mobility scores were significantly different across lesions groups (p = 0.022). CHDL cows had a mean mobility score of 2.0 ± 0.9 (mean ± SD), STL were scored 1.2 ± 1.3, and NL cows were 0.9 ± 0.7. CHDL were associated with longer lying times (15.00 ± 1.04 h/d; p = 0.0006) and shorter standing times (9.68 ± 2.38 h/d; p = 0.0351) compared with NL lying times (11.77 ± 1.67 h/d) and standing times (12.21 ± 1.67 h/d). STL cows spent significantly less time lying (11.30 ± 2.44; p = 0.0013) than CHDL but not NL cows. No significant differences were found with any of the other lying behaviours. After trimming, CHDL cows spent significantly less time lying down than before trimming (13.66 ± 0.98; p = 0.0125). Cows with NL spent significantly more time lying down (12.57 ± 1.90; p = 0.0398) and had a shorter minimum lying bout duration (0.17 ± 0.09; p = 0.0236) after trimming. In conclusion, lying behaviour in dairy cattle was impacted by type of hoof lesions and hoof trimming.

Effects of short-term exposure to drinking water contaminated with manure on water and feed intake, production and lying behaviour in dairy cattle

This study aimed to assess the effects of water quality (contamination with manure) on water and feed intake and subsuquent milk production, and lying behaviour in dairy cattle. Fifteen lactating Holstein-Friesian cows were provided one of three water treatments in a cross-over design; clean (tap) water, or water contaminated with either 0.5 mg or 1 mg fresh manure/g water. Cows were managed individually in indoor pens and milk production, feed and water intake (free and via feed) and lying behaviour were recorded daily. Live weight was recorded before and after each treatment exposure. Cows were in their pens for 5 days with clean water (baseline) before given one of the three water treatments for 4 consecutive days. Between each baseline/treatment period the cows were managed as one group on pasture for 5 days with clean water to minimize any carry-over effects. This was repeated until all cows had undergone all treatments. Data were analysed using analysis of variance of the 4-day treatment averages and repeated measures analysis of variance to examine day trends within treatment phases. There was an overall treatment effect on free water intake (P < 0.001, SED: 2.34); cows drank more of the clean water (78.0 L/day, range: 49.2–118.0 L) compared to when it was contaminated with 0.5 mg (68.4 L/day, range: 53.5–82.8 L) or 1 mg manure/g water (67.0 L/day, range: 50.6–86.8 L). The water intake of the two contaminated water treatments increased over the 4 days to be the same as the clean water treatment by day 4 (treatment * day interaction, P = 0.002). The cows obtained considerable amount of water from their feed (on average 48 L/day), however, there was no treatment effect on this water intake (P = 0.511). There was no treatment effect on feed intake, live weight or lying behaviour (P ≥ 0.064). Our results show that cows are sensitive to manure contamination of their drinking water. Cows consumed less contaminated water for the first three days of exposure, however, this was not evident on day four, and the reasons for this are unclear. Water quality did not influence feed intake, production or lying behaviour, however, this could be due to the relatively low levels of contamination used, and/or the high water intake from the feed (cut pasture) may have contributed to meeting metabolic requirements to maintain milk production.

Variable selection for monitoring sickness behavior in lactating dairy cattle with the application of control charts

The present observational study investigated the application of multivariate cumulative sum (MCUSUM) control charts by including variables selected by principal component analysis and partial least squares (PLS) regression to identify sickness behavior in dairy cattle. Therefore, sensor information (24 variables) was collected from 480 milking cows on a German dairy farm between September 2018 and December 2019. These variables were gathered in potentially different scenarios on farm. In total, data from 749 animals were available for evaluation. Variables were chosen based on the information of 499 cows (62 healthy; 437 sick) with 93,598 observations. The available diagnoses were collected together to form 1,025 sickness events. Hence, the different numbers of selected variables were included into the MCUSUM control charts. The performance of the MCUSUM control charts was evaluated by a 10-fold cross validation; hence, 90% of the original data set (749 cows) represented the training data, and the remaining 10% was used to test the training results. On average, the 10 training data sets included 124,871 observations with 1,392 sickness events, and the 10 testing data sets included, on average, 13,704 observations with 153 sickness events. The MCUSUM generated from the variables selected by principal component analysis showed comparable results in training and testing in all scenarios; therefore, 70.0 to 97.4% of the sickness events were detected. The false-positive rates ranged from 8.5 to 29.6%, and thus they created at least 2.6 false-positive alerts per day in testing. The variables selected by the PLS regression approach showed comparable sickness detection rates (70.0-99.9%) as well as false-positive rates (8.2-62.8%) in most scenarios. The best performing scenario produced 2.5 false-positive alerts in testing. Summarizing, both approaches showed potential for practical implementation; however, the PLS variable selection approach showed fewer false positives. Therefore, the PLS regression approach could generate a more reliable sickness detection algorithm, if combined with MCUSUM control charts, and considered for practical implementation.

The effect of stocking density and a blind on the behavior of Holstein dairy cattle in group maternity pens. Part I: Calving location, locomotion, and separation behavior

In a more natural setting, dairy cows separate from herdmates and seek a secluded area to give birth. However, on many dairy facilities, cows calve in barren group pens with limited space, which may limit their ability to perform these behaviors. The objective of this study was to determine the effect of stocking density and provision of a blind (a single-sided solid partition) in group bedded pack maternity pens on the behavior of dairy cattle. The study included 4 experimental treatments: (1) high stocking density (7.7-12.9 m2 of lying space/cow) with a blind, (2) low stocking density (15.4-25.8 m2) with a blind, (3) high stocking density without a blind, and (4) low stocking density without a blind. We analyzed the effect of these treatments on locomotor and separation behavior as well as blind use during the 24 h before calving. A total of 127 primiparous heifers and 247 multiparous cows were housed in 16 mixed-parity groups (4 groups per treatment) from approximately 3 wk before to immediately after calving. Locomotor behavior increased from 24 to 2 h before calving regardless of treatment but increased the most in high stocking density pens without a blind. Additionally, heifers performed more locomotion than cows. Animals increased their distance from other cows beginning approximately 4 h before calving. Animals in low stocking density pens had a greater distance from other cows compared with those in high stocking density pens. Additionally, heifers had a greater distance from penmates during the 4 h before calving than cows. More animals calved in the area of the pen that contained a blind compared with the same respective areas of high and low stocking density pens that did not contain a blind. These results suggest that periparturient dairy cattle in group maternity pens are motivated to seek seclusion at calving, but increased stocking density may impede their ability to do so. Providing additional space and a blind may benefit periparturient dairy cows and heifers by facilitating natural calving behaviors.

In-situ classification of cattle behavior using accelerometry data

We consider the problem of real-time classification of cattle behavior using accelerometry data on resource-constrained sensor nodes. We develop a pipeline of preprocessing, feature extraction, and classification specifically designed for performing inference on sensor-node embedded systems. The dataset on which we base our investigations was collected by tri-axial accelerometer sensors on collar tags fitted to ten cattle for about five weeks and annotated with associated behaviors using approximately 19 animal-hours of recorded visual observations. We analyze the statistical and spectral properties of the gathered accelerometry data. Based on the insights gained from the analysis, we devise a small set of computationally efficient yet powerful features to extract from the accelerometry data that are useful for building cattle behavior classification statistical models. We examine the classification performance of several supervised machine-learning algorithms on our dataset. We only consider algorithms whose learned model and inference process are suitable for implementation on embedded systems with limited computing resources. The cross-validated performance evaluation results show that, by using the proposed features, several computationally-efficient discriminative models can yield good classification accuracy in distinguishing four biologically important cattle behavior classes, namely, grazing, ruminating, resting, and other (a collective of all other behaviors). Particularly, this is achieved without incurring any significant burden on embedded system resources in terms of energy, computation, or memory.

Feeding behavior of feedlot-finished crossbred bulls fed palm kernel cake.

The aim of this study was to evaluate the effects of dietary inclusion of palm kernel cake (PKC) on the feeding behavior of feedlot-finished cattle. Forty uncastrated crossbred bulls with an average age of 24.2 ± 2 months and an average weight of 331.1 ± 36.2 kg were distributed into four treatment groups in a completely randomized design with ten replicates. The treatments consisted of 0, 8, 16, or 24% PKC inclusion in the diet (dry matter basis). Palm kernel cake inclusion influenced feeding time (P < 0.05), which increased linearly. The inclusion of the ingredient also affected (P < 0.05) rumination time (min/day), total chewing time, and the time spent on other activities. The number of cuds ruminated per day showed a linear response to the PKC inclusion levels (P < 0.05). The number of feeding bouts increased linearly (P < 0.05). Dry matter (DM) intake and DM feeding efficiency decreased linearly (P < 0.05). There were no effects of PKC inclusion (P > 0.05) on neutral detergent fiber feeding (NDF) efficiency or DM rumination efficiency. NDF rumination efficiency increased linearly (P < 0.05). Palm kernel cake can be included at levels up to 24% in the total diet of feedlot-finished crossbred bulls, as it does not affect their dry matter intake or feeding behavior.

Visitors’ Self-Reported Knowledge and Attitudes about an Animal-Free Exhibit on Animal Welfare

ABSTRACT Public events such as state fairs provide valuable opportunities to provide informal animal welfare education, possibly changing people’s decisions regarding animal welfare. This study evaluated whether an interactive animal-free exhibit increased visitors’ self-reported knowledge and stated behavioral intentions related to animal welfare. The exhibit featured information about the behavior and welfare of cattle, sheep, pigs, goats, poultry, horses, cats and dogs. Survey data were collected at two events in the Midwestern United States (Purdue University Spring Fest (FEST): n = 32; Indiana State Fair (FAIR): n = 49 valid responses). Most people agreed and strongly agreed (FEST: 60.00%; FAIR: 74.47%) that they learned new information and would consider this information when making decisions (FAIR: 70.37%; FAIR: 76.19). Most people (FEST: 67.86%; FAIR: 71.11%) also stated that they had a better understanding of animal welfare after visiting the exhibit. These findings indicate that an animal welfare exhibit can positively influence visitors’ self-reported knowledge and stated decisions about animal welfare. Future research is needed to examine the long-term impacts of animal welfare exhibits on knowledge retention, decisions and behavior.

Hourly activity patterns and behaviour-based management of feedlot steers with and without a cattle brush

Environmental enrichment (EE) can increase the environmental complexity of feedlots by providing mental and physical stimulation. The objectives of the study were to 1) identify hourly patterns of feedlot steer behaviour and 2) evaluate the impact of EE on these behavioural patterns. Predominantly British and British continental crossbred steers (n = 54) were shipped to Texas A&M AgriLife Feedlot in Bushland, Texas, blocked by weight, and assigned to pens. Pens were randomly assigned to one of two treatments 1) No enrichment (CON; n = 3 pens at 9 steers/pen) and 2) BRUSH (Cattle brush; n = 3 pens at 9 steers/pen). Video recordings were decoded using continuous observation to determine the hourly frequency of headbutting, mounting, bar licking, tongue rolling, allogrooming and brush usage from 08:00 h to 17:30 h on d -2, -1, 0, 1, 2, 4, 8, 16, 32 and 64 relative to brush implementation. All ten research days were combined for analysis. The impact of time (hour), treatment, and their interaction on cattle behaviour were evaluated using a General Linear Mixed Model (PROC MIXED) in SAS. All behaviours were affected by time of day (P < 0.05). A treatment effect was observed for allogrooming (P = 0.0448), headbutting (P = 0.0038), and bar licking (P = 0.0002). No treatment by time of day interactions were detected (P> 0.05). Knowledge of behavioural patterns is critical to advancing feedlot cattle welfare research and provides information to husbandry technicians regarding cattle behavioural expectations. Training stockpeople to incorporate behavioural observations into daily health checks can improve feedlot cattle wellbeing by facilitating the prompt detection and treatment of sick or injured cattle.

Beacon in Information System as Way of Supporting Identification of Cattle Behavior

The paper concentrates on researching the possibilities of using modern information technologies in animal production in order to monitor and identify behavior and well-being of cows. Having in mind the challenges related to managing dairy herds, and economic pressure put on breeders (as well as the broadly defined well-being of animals), an endeavor was made to create a new method, which would be competitive in comparison with the existing solutions. The proposed method of collecting data and data processing with beacon devices as well as data warehouse, allows—according to the authors—a more complete identification of behaviors and physiological condition of a dairy herd. It is also worth pointing out that this method is competitive in terms of price. By virtue of the multitude of data that were collected, a decision was made to resign from processing data on a local computer and use a cloud compute engine instead. The presented information system creates a sequence of components, which were subject to verification both on the level of creating and conducting research. Research results that were received were then compared with knowledge presented in the literature. A vital element of validation of the aforementioned methodology was comparing results that were achieved in the course of research work with the system making use of pedometer. The aim of the authors was to develop a new information technology solution, as well as a method based on beacons, which are rather universal devices, with the use of data warehouses, allowing the identification of behavior and physiological state of milk cattle, the method which would be competitive in comparison with the existing solutions, especially in terms of price. In the proposed solution, both information coming from microcomputers and weather forecast data coming from weather forecast stations, which make the above identification easy, were used as data sources.

Growth, ruminal and metabolic parameters and feeding behavior of Nellore cattle with different residual feed intake phenotypes

The aim of this study was to evaluate growth, ruminal and metabolic parameters and feeding behavior of young Nellore males classified based on postweaning residual feed intake (RFI). Fifty-nine Nellore males (290 ± 20 days of age and 294 ± 8.48 kg of body weight) were evaluated for 70 days in a feed efficiency test conducted with the GrowSafe System®, with automatic and daily measurement of individual feed intake and feeding behavior. The animals were weighed every 14 days. Body measures and blood samples were obtained at the beginning and end of the efficiency test. The RFI was calculated as the residual of the regression equation of dry matter (DM) intake on average daily weight gain and mid-test metabolic body weight. The animals were classified as low (n = 25), medium (n = 15), and high (n = 19) RFI. Six low RFI and six high RFI animals were used for determining ruminal parameters and microbial nitrogen. The data were analyzed considering the fixed effect of RFI class and initial age as linear covariate. Low RFI animals consumed less DM to achieve a performance similar to that of animals with medium and high RFI. The different RFI groups did not influence ruminal fermentation parameters, microbial nitrogen, blood metabolites, or body measures. Low RFI animals spent less time at the feed bunk when compared to animals with medium and high RFI for a similar amount of feed consumed per visit. Animals with low RFI are efficient in feed utilization as demonstrated by their good production potential despite lower feed intake, without losses in growth or ruminal and metabolic parameters.

Dairy cow behaviour around calving: Its relationship with management practices and environmental conditions

Calving is one of the most challenging and painful experiences for dairy cattle and a process that involves coping with physical and physiological changes, as well as environmental and management-related stressors. In recent years, it has been argued that the application of cow behaviour knowledge might facilitate their efficacious management during calving. This review aims to summarise and discuss current knowledge regarding the behavioural changes that occur around calving time. The relationship between calving behaviour, management practices, and environmental conditions in dairy cattle raised in intensive indoor production systems, as well as pasture-based systems, is also discussed. First, we briefly outline the process of parturition and the concept of maternal behaviour. We then describe behavioural changes that occur around parturition in normal and dystocic births and how variations in these behaviours can be used to predict normal or assisted calving in dairy cattle; particular emphasis is placed on the role of feeding, rumination, and lying behaviour. Finally, we review how management practices and environmental conditions can influence cow’s behaviour at calving and discuss the importance of providing an environment that accommodates the behaviour they are motivated to perform. This review presents evidence that the time a cow is moved to the calving area, the type of group housing and the provision of a secluded area to calve, can impact the behavioral responses of dairy cows at calving. Evidence regarding the effects of exposure to environmental conditions such as heat during summer, and/or cold, wet and mud during winter can also have a negative impact on behaviour, suggesting potential benefits of providing cows with a protected area to calve. We conclude that a better understanding of the behaviour of parturient cows may help producers improve the care and management around calving time.

The influence of cows stresses resistance on cheese yield and quality

The influence of cows stresses resistance on cheese yield and quality

Использование технологии радиомаяка для контроля поведения крупного рогатого скота

The article is mostly devoted to the study of the possibilities of using modern information technologies in animal husbandry to identify and monitor the behavior and welfare of cows. Since the work associated with dairy herd management also implies the economic pressure felt by breeders, numerous efforts have been made to create a new method that would be worthy of competition when compared to current solutions. According to the authors’ opinion, the method of collecting and processing data using radio beacons, as well as data storage, allows for identifying the behavior and physiological conditions of a dairy herd more fully. It is equally important to note the price competitiveness of this method. Since the data is collected in large quantities, it was decided to abandon the processing of the data on the local computer and instead use the cloud computing engine. The presented information system creates a sequence of components that have been tested, both at the level of creation and at the level of research. The research results were compared with academic knowledge from literary sources. It should be noted that part of the validation of the above methodology was the comparison of the results that had been achieved during the study using a pedometer. The main goal of this article is to develop a new method in the field of information technology and a method based on beacons, which are quite versatile devices, using data stores that allow identifying the behavior and physiological state of dairy cattle, methods that would be competitive compared to existing solutions, especially for the price. In the proposed solution, there were used both information coming from microcomputers and weather forecast data coming from meteorological stations, which simplify the above identification.

Machine Learning Applications for Precision Agriculture: A Comprehensive Review

Agriculture plays a vital role in the economic growth of any country. With the increase of population, frequent changes in climatic conditions and limited resources, it becomes a challenging task to fulfil the food requirement of the present population. Precision agriculture also known as smart farming have emerged as an innovative tool to address current challenges in agricultural sustainability. The mechanism that drives this cutting edge technology is machine learning (ML). It gives the machine ability to learn without being explicitly programmed. ML together with IoT (Internet of Things) enabled farm machinery are key components of the next agriculture revolution. In this article, authors present a systematic review of ML applications in the field of agriculture. The areas that are focused are prediction of soil parameters such as organic carbon and moisture content, crop yield prediction, disease and weed detection in crops and species detection. ML with computer vision are reviewed for the classification of a different set of crop images in order to monitor the crop quality and yield assessment. This approach can be integrated for enhanced livestock production by predicting fertility patterns, diagnosing eating disorders, cattle behaviour based on ML models using data collected by collar sensors, etc. Intelligent irrigation which includes drip irrigation and intelligent harvesting techniques are also reviewed that reduces human labour to a great extent. This article demonstrates how knowledge-based agriculture can improve the sustainable productivity and quality of the product.

Inverted F Type Antenna Design for the Cattle Activity and Estrus Detection Sensor Module

In this paper, an inverted F type antenna (IFA) for ZigBee communication of a sensor board has been designed and optimized, and it replaces the chip antenna on an RF (Radio Frequency) module that is not performing well enough for the ZigBee communication. The sensor board detects cattle behavior and identifies the breeding (estrus) period and transmits the data to the main station by the RF (Radio Frequency) module and IFA antenna. The proposed and optimized TRx (transmitting/receiving) IFA antenna of the ZigBee communication module has a return loss of −19 dB and a gain of 1.6 dB at 2.45 GHz. The size is about 2.5 × 0.5 cm in width and vertical length, and the height is 0.55 cm. The strength of signals with the chip antenna and the IFA antenna have been measured and compared. There is about a 20 dB enhancement with the IFA antenna compared to the chip antenna. The antenna is designed and applied to the RF transmission and reception (TRx) module. This antenna and sensor module can be applied to livestock in general as well as cattle.

Timing of eating during transition impacts feedlot cattle diet and liveweight gain

The timing of eating, relative to when feed is offered, is affected by the social rank of feedlot cattle due to limited feed bunk space. As cattle can select feed based on dietary preference, the timing of eating for cattle in feedlot may be associated with the ingested diet composition. Our objectives were to determine the nutritive value and timing of feed ingested by 100 feedlot cattle during transition and the association of timing of eating with feeding behaviours and average daily gain (ADG). Cattle behaviour and timing of eating were determined on 100 feedlot cattle using accelerometer-based ear tag sensors from days 3 to 6 post feedlot induction (observation period), and the ongoing impact of this period on ADG was determined for the full feed period (75 days). To determine eating patterns at the time of feed offer, cattle were grouped according to the number of days they were recorded as eating within 1 h of feed being offered across 4 observation days, G0: not present across 4 days, G1: present for 1 day, G2: 2 days, G3: 3 days and G4: present for each of the 4 days. Total mixed ration (TMR) samples were collected for nutritive value analysis from four locations along the feed bunk from the time feed was offered and at hourly intervals thereafter for 7 h each day during the observation period. The composition of feed in the bunk changed across the 7 h of measurement (P < 0.05). The DM and CP of feed increased from 65 to 70% and 15 to 16%, respectively, and the NDF decreased from 36 to 32%. Thus, the preferred TMR feed component was the fibrous dietary fraction. However, the overall composition of the ingested diet for 7 h post feeding was similar between groups. Cattle in G0 had reduced eating time (0.7 vs 4.8%; P < 0.001), rumination time (4.5 vs 19.5%; P < 0.001) and ADG (1.0 vs 1.3 kg/d; P < 0.05) across the study, as compared with cattle in G4. Offering a more fibrous ration during feedlot transition, and customised cattle segregation and/or customised feeding regimes based on sensor derived feeding behaviour profiles during acclimation to feedlot can optimise ADG, animal welfare and feedlot profit.

Subacute Ruminal Acidosis in Zebu Cattle: Clinical and Behavioral Aspects

Simple SummaryCattle that are fed high levels of concentrates may develop short-term rumen acidity that may occur frequently leading to necrosis of the rumen wall and reduced nutrient absorption, thereby decreasing animal productivity. This condition is known as subacute acidosis. Here, we evaluated an experimental model to induce such a condition in Nelore cattle, a Zebu breed widely used in Brazil, and assessed several clinical and feeding behavioral patterns of affected animals to better understand the disease pathogenesis and clinical outcomes. Subacute acidosis led to a reduction in food consumption and rumination time, and an increase was observed in the time spent in decubitus. Additionally, subacute acidosis caused different degrees of depression that was more pronounced with higher ruminal lactic acid concentrations.We evaluated the clinical aspects and feeding behavior of cattle with subacute ruminal acidosis (SARA) caused by short-chain fatty acids (SCFAs). Ten healthy Nelore heifers were subjected to an adjusted SARA induction protocol using citrus pulp (CP). Clinical examinations were performed at baseline and at 3, 6, 9, 12, 15, 18, and 24 h intervals after induction, with ruminal fluid, blood, and feces sampling. The animals’ feeding behavior was evaluated on, before, and for 3 days after SARA by observing the animals every 5 min for 24 h. The dry matter intake (DMI) was recorded daily. The ruminal pH during SARA was always lower than baseline, with an acidotic duration of 547 ± 215 min, a minimum pH of 5.38 ± 0.16, and an average pH of 5.62 ± 0.1. SARA was mainly caused by SCFAs (maximum 118.4 ± 9.3 mmol/L), with the production of l-lactic acids (7.17 mmol/L) and d-lactic acids (0.56 mmol/L) 6 h after the experiment began. The DMI was reduced by 66% and 48% on days 1 and 2, respectively, and returned to normal levels on day 3. SARA caused a reduction in feed intake and rumination time, as well as an increase in the time spent in decubitus on days 1 and 2. These results were influenced by the ruminal pH, ruminal movement, and osmolarity. Furthermore, SARA caused different degrees of depression, which became more pronounced with higher ruminal lactic acid concentrations.

The influence of age and winter environment on Rumax Bovibox and Bovibox HM supplement intake behavior of winter grazing beef cattle on mixed-grass rangelands.

The influence of age and winter environment on Rumax Bovibox and Bovibox HM supplement intake behavior of winter grazing beef cattle on mixed-grass rangelands.