The behaviour of housed dairy cattle with and without pasture access: a review

With more dairy cows being housed indoors, for at least part of the year, it is important to understand how housing impacts on ‘normal behaviour’ and the implications for cow welfare. For cows on pasture, nutritional requirements and climatic conditions are the major concerns, whilst indoor housing systems can restrict natural behaviours and reduce health as incidences of lameness and mastitis increase. When given a choice to be at pasture or in cubicle housing, studies have shown that time of day, season, and where feed is provided can influence preference. Previous experience also had a big effect on pasture preference: the longer calves/heifers/cows were reared without experience of pasture the stronger their preference for housing. The ontogeny of grazing also requires pasture experience i.e. the instinctive foraging behaviour of calves is to suckle and they have to learn through experience how to graze. These results raise the question: if cattle are to be housed for part of the year, would it be better to house them continuously? Other results would suggest not, as there are clear production, health and welfare benefits to pasture access. Cows at pasture had lower levels of lameness and mastitis, and cows with free access to pasture and indoor housing also produced more milk than those continuously housed. Approximately half of this extra milk was attributed to grass intake, and increased lying, improved comfort and/or lower stress probably accounted for the rest. Although incorporating free access between housing and pasture is difficult on many farms, it is postulated that developments in precision livestock farming offer the potential to provide a technological solution to this problem. These research findings could be used as the basis to design novel, adaptive housing that responds to cow behaviour. The aim would be to incorporate the best aspects of pasture with the best aspects of housing to provide an environment that meets the needs of the cows all year around

The relationship between milk oestradiol concentrations and oestrus activity in lactating Holstein–Friesian cows

Context: Detecting oestrus to facilitate the optimal timing of artificial insemination is key to optimal reproductive performance in dairy cows. Aims: The aims of the present study were to investigate the relationship between activity and milk oestradiol concentrations during oestrus. Methods: Accelerometers (IceQubes, IceRobotics Ltd, UK) were used to monitor the activity (the number of steps per day) of 37 lactating Holstein–Friesian cows during the peri-oestrus period. Daily milk samples were analysed for oestradiol and progesterone concentrations. Key results: An increase in activity sufficient to generate an oestrus alert (behavioural oestrus) from an activity sensor (GEA Rescounter II) was detected in 29 of 37 (78%) cows. Milk oestradiol increased from 2.0 ± 0.5 pg/mL 4 days before oestrus to 8.3 ± 1.1 pg/mL on the day of behavioural oestrus, then fell to 2.6 ± 0.6 pg/mL by 3 days afterwards. Similarly, activity also increased and peaked on the day of oestrus. However, in 8 of 37 (22%) cows, although milk oestradiol concentrations increased following the fall in progesterone, there was no significant increase in activity (silent oestrus). Milk oestradiol concentrations were positively correlated (r = 0.37; P = 0.03) with activity on the day of oestrus. Cows that subsequently became pregnant took a similar number of steps (2806 ± 282.3 vs 2850 ± 372.5 steps for PD+ vs PD− cows respectively) but had higher oestradiol concentrations (11.2 ± 2.06 vs 5.1 ± 0.51 pg/mL for PD+ vs PD− cows respectively) on the day of oestrus than did cows that did not become pregnant. Conclusions: Increases in oestradiol concentrations above a threshold of approximately 10 pg/mL are associated with an increased activity, and higher oestral oestradiol concentrations are associated with a higher rate of pregnancy following insemination. Implications: This study has demonstrated the significance of oestradiol concentration to the fertility of dairy cows. Thus, strategies to enhance oestradiol secretion may enhance fertility. Further, milk oestradiol measures may be developed as an aid to oestrus detection in lactating dairy cows, although further studies are required to determine whether on-farm assessment of milk oestradiol concentration can be developed to add to the repertoire of biomarkers of oestrus in lactating cattle

Fatty acid profile of milk for determining reproductive status in lactating Holstein Friesian cows

Large percentages of dairy cows do not express behavioural signs of oestrus. Faecal and urine fatty acid concentrations increase during oestrus. The objective of the present study was to determine the milk FA profile of dairy cows during the oestrous and dioestrous periods and the relationship with behavioural signs on the day of oestrus. The activity of 32 Holstein Friesian cows was measured continuously using GEA Rescounter ll pedometers (GEA Farm Technologies, Düsseldorf, Germany) and IceQubes (IceRobotics Ltd., Edinburgh, UK). Milk samples were collected on the day of oestrus and on day 14 of the subsequent oestrous cycle and analysed for FA concentration using gas chromatography (GC) and milk composition was also determined. All cows were artificially inseminated within 12 h of the onset of oestrus. On the day of oestrus, the concentration of acetic acid (P < 0.001), valeric acid (P = 0.016), caproic acid (P < 0.001) and myristoleic (P = 0.035) were greater in milk compared to day 14. On day 14 milk arachidonic acid concentration, however, was greater (P = 0.004) compared to the day of oestrus. Also, on day 14 arachidonic acid concentration was greater (P = 0.002) in non-pregnant compared to pregnant cows. In conclusion, the results of this study indicate there are changes in the concentrations of some milk FA during oestrus and dioestrus in lactating dairy cows

Cows with paratuberculosis (Johne’s disease) alter their lying behavior around peak lactation

Paratuberculosis or Johne’s disease (JD) is a fatal chronic enteritis that causes detrimental effects on production and health and significantly reduces the welfare of cattle. Control of JD is highly desirable, but single milk ELISA testing may not be sensitive enough to identify all affected animals, particularly in the early stages of the disease. The objective of this study was to compare the activity of JD-positive (JD5) to JD-negative (JD0) cows from calving until wk 20 of lactation. The study was conducted at Harper Adams University, United Kingdom, using 42 multiparous [3.1 ± 0.22 (mean ± standard error of the mean); range: 2–7 lactations] Holstein Friesian cows, fitted with an IceQube accelerometer (IceRobotics Ltd., Edinburgh, UK) on the back left leg. The sensors recorded data on lying and standing time, steps, and motion index with a granularity of 15 min. In addition, start and stop times for lying bouts, and exact lying bout durations were recorded, which permits calculation of the number of lying bouts. Every 3 mo the cows were milk sampled and subsequently tested for JD using an ELISA. Cows in the infection group JD0 were classed as JD negative and cows in the infection group JD5 were classed as JD positive. Johne’s-positive cows [JD5; n = 21 (repeat ELISA positive)] were matched to negative cows [JD0; n = 21 (repeat ELISA negative)] based on lactation number and age. Around peak lactation we found differences in lying behavior. The JD5 cows spend less time lying/d during wk 7 to 11 of lactation. The largest difference observed was around wk 8 of lactation, with JD5 cows spending, on average, 2 h/d less time lying down than JD0 cows (9.3 ± 0.33 vs. 11.3 ± 0.61 h/d, respectively). The JD5 cows also had fewer lying bouts per day from wk 7 to 15 of lactation (excluding wk 13), and during wk 11 and 12 average lying bout duration was longer for JD5 cows compared with JD0 cows. No differences were observed in steps per day, milk yield, BCS, and mobility score between JD5 and JD0 cows from calving to wk 20 of lactation. As far as we are aware, this is the first study to show changes in activity of JD-positive cows. The results show that activity data from leg-mounted accelerometers has the potential to help identify JD-positive cows, although more research is required

Cognitive, behavioural and psychological barriers to the prevention of severe hypoglycaemia: A qualitative study of adults with type 1 diabetes

Objectives: Severe hypoglycaemia affects approximately one in three people with type 1 diabetes and is the most serious side effect of insulin therapy. Our aim was to explore individualistic drivers of severe hypoglycaemia events. Methods: In-depth semi-structured interviews were conducted with a purposive sample of 17 adults with type 1 diabetes and a history of recurrent severe hypoglycaemia, to elicit experiences of hypoglycaemia (symptoms/awareness, progression from mild to severe and strategies for prevention/treatment). Interviews were analysed using an adapted grounded theory approach. Results: Three main themes emerged: hypoglycaemia-induced cognitive impairment, behavioural factors and psychological factors. Despite experiencing early hypoglycaemic symptoms, individuals often delayed intervention due to impaired/distracted attention, inaccurate risk assessment, embarrassment, worry about rebound hyperglycaemia or unavailability of preferred glucose source. Delay coupled with use of a slow-acting glucose source compromised prevention of severe hypoglycaemia. Conclusion: Our qualitative data highlight the multifaceted, idiosyncratic nature of severe hypoglycaemia and confirm that individuals with a history of recurrent severe hypoglycaemia may have specific thought and behaviour risk profiles. Individualised prevention plans are required, emphasising both the need to attend actively to mild hypoglycaemic symptoms and to intervene promptly with an appropriate, patient-preferred glucose source to prevent progression to severe hypoglycaemia

Performance, milk fatty acid composition and behaviour of high-yielding Holstein dairy cows given a limited grazing period

The effects of a limited grazing period on the performance, behaviour and milk composition of high‐yielding dairy cows were examined. A total of 56 Holstein cows yielding 44.7 ± 0.42 kg/day were allocated to one of four treatments in one of two, 4‐week periods. Treatments were as follows: control (C)—cows housed and offered TMR ad libitum; early grazing (EG)—cows grazed for 6 hr after morning milking then housed; delayed grazing (DG)—cows returned to housing for 1 hr after morning milking followed by grazing for 6 hr, then housed; restricted TMR (RT)—cows grazed for 6 hr after morning milking, then housed and fed TMR at 75% of ad libitum. Intake of TMR was highest in cows receiving C, intermediate in EG and DG, and lowest in RT at 26.9, 23.6, 24.7 and 20.3 kg DM/day respectively. Pasture intake was similar in cows receiving EG or DG, but was higher in RT at 2.4, 2.0 and 3.5 kg DM/day respectively. Milk yield was similar between cows receiving C, EG or DG, but lowest in RT at 45.7, 44.2, 44.9 and 41.7 kg/cow, respectively, while milk fat content of C18:3 n‐3 was increased by grazing. Cows in C spent more than 55 min/day longer lying and had three additional lying bouts/day, while lying bouts were shorter than for cows receiving EG, RT or DG. It is concluded that high‐yielding cows can be grazed for 6 hr/day with little impact on performance, provided TMR is available ad libitum when housed

On-farm broiler welfare assessment and associated training

Around the world, people who care for animals as stock keepers, stockmen, farmers, producers are placed in a position where they can greatly influence the quality of life of the animals they manage. This is particularly true in broiler chickens, where large numbers of animals can be cared for by comparatively small numbers of people. There is an international progression to start to assess poultry welfare on farm by looking at the animals themselves using (Animal Based Measures ABMs) rather than by looking exclusively at the resources provided (space, light heat, litter material - Resource Based Measures RBM's). In general, the areas being assessed are: Are the animals properly fed and supplied with water? Are the animals properly housed? Are the animals healthy? Can the animals express a range of behaviours and emotional states? Different types of organisations are starting to use ABM's - Government inspection bodies - for example state veterinary staff, Research institutes - wishing to use standardized assessment methods for research, Animal Welfare NGO's, Farm assurance companies and Legislators. The WelfareQualityNetwork® (WQN) http://www.welfarequality.net/everyone has described ABM's which address twelve health and welfare criteria and has tested them on a large number of farms across Europe. Some examples from this assessment scheme are described

Data-driven agriculture and sustainable farming: friends or foes?

Sustainability in our food and fiber agriculture systems is inherently knowledge intensive. It is more likely to be achieved by using all the knowledge, technology, and resources available, including data-driven agricultural technology and precision agriculture methods, than by relying entirely on human powers of observation, analysis, and memory following practical experience. Data collected by sensors and digested by artificial intelligence (AI) can help farmers learn about synergies between the domains of natural systems that are key to simultaneously achieve sustainability and food security. In the quest for agricultural sustainability, some high-payoff research areas are suggested to resolve critical legal and technical barriers as well as economic and social constraints. These include: the development of holistic decision-making systems, automated animal intake measurement, low-cost environmental sensors, robot obstacle avoidance, integrating remote sensing with crop and pasture models, extension methods for data-driven agriculture, methods for exploiting naturally occurring Genotype x Environment x Management experiments, innovation in business models for data sharing and data regulation reinforcing trust. Public funding for research is needed in several critical areas identified in this paper to enable sustainable agriculture and innovation

Clustering of Multiple Energy Balance-Related Behaviors in School Children and Its Association with Overweight and Obesity—WHO European Childhood Obesity Surveillance Initiative (COSI 2015–2017)

It is unclear how dietary, physical activity and sedentary behaviors co-occur in school-aged children. We investigated the clustering of energy balance-related behaviors and whether the identified clusters were associated with weight status. Participants were 6- to 9-year-old children (n = 63,215, 49.9% girls) from 19 countries participating in the fourth round (2015/2017) of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative. Energy balance-related behaviors were parentally reported. Weight and height were objectively measured. We performed cluster analysis separately per group of countries (North Europe, East Europe, South Europe/Mediterranean countries and West-Central Asia). Seven clusters were identified in each group. Healthier clusters were common across groups. The pattern of distribution of healthy and unhealthy behaviors within each cluster was group specific. Associations between the clustering of energy balance-related behaviors and weight status varied per group. In South Europe/Mediterranean countries and East Europe, all or most of the cluster solutions were associated with higher risk of overweight/obesity when compared with the cluster 'Physically active and healthy diet'. Few or no associations were observed in North Europe and West-Central Asia, respectively. These findings support the hypothesis that unfavorable weight status is associated with a particular combination of energy balance-related behavior patterns, but only in some groups of countries