Dairy Cattle Welfare Research Articles

Short communication: Describing mortality and euthanasia practices on Canadian dairy farms

The objective of this study was to describe mortality rates and euthanasia practices used for cows, heifer calves, and male dairy calves on Canadian dairy farms. An internet survey was administered to Canadian dairy producers between March and April 2015 to collect information on current management practices. Approximately 81% (867/1,076) and 63% (673/1,065) of respondents reported that at least one animal died unassisted and at least one animal was euthanized on the farm in the preceding 12-mo period, respectively. Overall, mean mortality was 8% for cows, and 6 and 2% for preweaning and weaned heifers, respectively. On average, 48, 76, and 89% of all reported mortality events in cows, weaned heifers, and preweaning heifers were recorded as unassisted deaths. Cows that died without assistance were necropsied more often than preweaning heifers dying without assistance; these cows were also necropsied more than cows that were euthanized. Conversely, preweaning heifers that were euthanized were necropsied more frequently than those that died without assistance. Choosing not to perform necropsies on animals that die of unknown causes could represent a missed opportunity to identify cause of death and inform changes to prevent future deaths. The use of a firearm was the most common method for euthanizing cows and heifers (54%) and male dairy calves (51%). Approximately 7% of respondents reported using blunt force to euthanize animals. The use of this method was much higher for euthanasia of male dairy calves (34%) than for heifer calves (7%). Québec respondents euthanized their animals using blunt force more often than farmers from other regions. Further, 53% of respondents using blunt force indicated it was their primary method of calf euthanasia; these results are extremely concerning. Approximately 31% of respondents who reported that they do not use blunt force to euthanize heifers and cows did report using blunt force to euthanize male dairy calves. These results can be used to inform veterinarian-client communication, broader extension tools and programs, and industry policies to improve dairy cattle health and welfare, a goal that is becoming of increasing importance from a consumer assurance perspective.

Biomarkers of fitness and welfare in dairy cattle: healthy productivity.

Milk production intensification has led to several unwanted aspects, such as sustainability issues and environmental pollution. Among these, increased milk outputs that have been achieved over the last 70 years have led to several health and pathophysiological conditions in high yielding dairy animals, including metabolic diseases that were uncommon in the past. Increased occurrence of diverse metabolic diseases in cattle and other domestic animals is a key feature of domestication that not only affects the animals' health and productivity, but also may have important and adverse health impacts on human consumers through the elevated use of drugs and antibiotics. These aspects will influence economical and ethical aspects in the near future. Therefore, finding and establishing proper biomarkers for early detection of metabolic diseases is of great interest. In the present review, recent work on the discovery of fitness, stress and welfare biomarkers in dairy cows is presented, focusing in particular on possible biomarkers of energy balance and oxidative stress in plasma and milk, and biomarkers of production-related diseases and decreased fertility.

US respondents' willingness to pay for Cheddar cheese from dairy cattle with different pasture access, antibiotic use, and dehorning practices

Cheese is a widely consumed product in American diets and an important economic driver of US dairy markets. Given the widespread interest in credence attributes of fluid dairy products, the lack of knowledge of demand for animal welfare, environmental, and other credence attributes in cheeses is surprising. Increasing attention surrounding dairy cattle welfare has been placed on the disbudding or dehorning of dairy cattle, in addition to the longer term debates surrounding pasture access and antibiotic use. This work estimates willingness to pay for these attributes of dairy cattle management systems for Cheddar cheese in a nationally representative sample of 749 US household members. Ninety percent of respondents indicated they or someone in their household consumed cheese in the last year. Higher proportions of respondents with children in the household purchased cheese of any kind. Respondents had positive willingness to pay for Cheddar cheese that had the following attributes: USDA-, retailer-, and industry-verified antibiotic use not permitted, required pasture access, and dehorning with pain relief as well as polled (when compared with dehorning without pain relief). As dairy producers face tighter margins and shifting consumer preferences, increasing attention on consumer preferences for cheese may aid in increasing profitability if demanded attributes can be profitability provided.

Effects of cubicle characteristics on animal welfare indicators in dairy cattle

Cubicle characteristics such as cubicle dimensions or management factors such as cow-to-cubicle ratio could affect health and behaviour of dairy cows. The objective of this study was to estimate effects of cubicle characteristics on animal welfare indicators in dairy cattle. A total of 64 loose housing farms in Germany were assessed once during the winter housing period by one experienced assessor. Nearly 15% of the dairy cows had access to pasture during summer months for <6 h/day, whereas 85% were zero-grazing farms. Selected animal welfare indicators (duration of the lying down process, collisions of cows with cubicles, cows lying outside cubicles, cow cleanliness, integument alterations, lameness and subclinical mastitis incidence) of the Welfare Quality® protocol and cubicle characteristics such as cow-to-cubicle ratio and cubicle dimensions were recorded. Data were statistically analysed using a multiple linear regression approach. Pasture access and cubicle type were considered as potential influencing factors. Wider cubicles positively affected the proportion of dairy cows with dirty flanks (−18.5% per 10 cm increase) but increased the number of cows with severe integument alterations (+8.9% per 10 cm increase). Larger lying areas reduced the percentage of cows with dirty udders (−2.9% per 10 cm2 increase). Longer distances from neck rail to curb were associated with higher prevalence of cows with dirty flanks (+3.1% per 10 cm increase) and subclinical mastitis incidence (+1.2% per 10 cm increase). With increasing neck rail height, the duration of the lying down process (−0.1 s per 10% increase), the percentages of cows with dirty legs (−8.4% per 10 cm increase), dirty udders (−7.0% per 10 cm increase) and severe lameness (−3.0% per 10 cm increase) decreased. Compared with rubber mat-equipped cubicles, deep-bedded cubicles showed a reduction in the lying down duration (−0.8 s), percentages of cows with dirty legs (−34.2%), dirty udders (−30.5%) and lesions and swellings (−13.1%). Compared with farms that did not provide any summer grazing, pasture access was associated with an increase of cows with severe lameness (+5.6%). Contrastingly, the number of cows with subclinical mastitis incidence was lower when cows had access to pasture in summer (−5.4%). Findings of the present study indicate several associations between cubicle characteristics and animal welfare in dairy cattle. Bedding type was found as the most influencing factor in terms of health and behaviour. Results of this study are valuable for farmers to identify the optimal cubicle design and improve the animal welfare level.

Effects of health disorders, genetic modifications and new technologies on the welfare of dairy cattle

The purpose of this review was to present the effect of selection of cows for increased milk and meat yields on the animal welfare status in advanced cattle production systems during the last two decades. Numerous health problems are due to housing systems characterized by the lack of pastures and runs, litterless floors, animal congestion limiting cows’ movement, feeding on roughage, social conflicts and bad management. The most frequent causes of culling are lameness, mastitis and reproductive disorders in dairy and beef cattle, which reduce cows’ longevity and result in economic losses in animal husbandry. In addition, lameness and mastitis cause severe pain, exposing cows to suffering and thus reducing their welfare, which is currently unacceptable to consumers. Animal welfare in cattle production should be ensured not only for legal and ethical reasons, but also because it is essential for the good health of the animals, making it possible to limit the use of antibiotics, which are a threat to food safety and public health.

Timely Euthanasia in the United States Dairy Industry-Challenges and a Path Forward.

Simple SummaryEuthanasia is a critical component of livestock production systems, providing producers, veterinarians, and caretakers a way to alleviate animal suffering. Although the intention is to keep all animals healthy, there are times when an animal must be euthanized when chances of recovery are low, the animal’s pain is not manageable, and/or its quality of life has deteriorated. The timeliness of euthanasia is an equally critical component of animal welfare. Activist groups have called out the dairy industry on this issue and the data suggests the untimeliness of euthanasia on dairy farms is an area in need of significant improvement. Failure to make timely euthanasia decisions impacts cow welfare and has a negative effect on the dairy business and caretaker. There are many factors influencing timely euthanasia decisions, which may be why effectively managing euthanasia on dairies can be a challenge. Factors impacting euthanasia decisions include caretaker training, availability of protocols, treatment decisions, quality of life assessment, human–animal bond, and economic influences. The dairy industry must develop effective resources to ensure a culture of care that supports timely euthanasia as a priority. This review discusses some of the factors impacting timely euthanasia decisions and proposes a path forward to improvement.Euthanasia is a valuable management tool utilized on dairies to end the suffering of sick or debilitated cows. Euthanasia should be implemented if an animal’s pain cannot be adequately alleviated and if there is a limited chance of recovery. To be humane, euthanasia should be quick, painless, and administered by a trained individual. Despite its importance in ensuring cow well-being, the timeliness with which euthanasia decisions are made for dairy cattle is often overlooked or neglected. The timeliness of euthanasia is as important as the efficient, rapid administration of euthanasia itself. Timely euthanasia is a critical component of many on-farm animal care and verification programs yet opportunities exist within the industry to improve how effectively the industry is executing this critical component of cow management. There are challenges associated with performing euthanasia in a timely manner, such as inconsistencies in treatment protocols, inadequate employee training, difficulties assessing a cow’s quality of life, and impacts of the human–animal bond on decision-making. The objective of this paper is to explain the importance of timely euthanasia to dairy cattle welfare, identify the challenges that can prevent the timeliness of euthanasia, and provide solutions and practical suggestions for improving the management of timely euthanasia on dairies.

8 Precision dairy cattle welfare: use of technology for individual measures, record keeping and early disease detection

Abstract Precision Dairy Farming (PDF) technologies measure physiological or behavioral parameters from individual cows with the objective of enhancing animal health and welfare. Continuous monitoring of individual animals allows for detailed data record keeping and offers an opportunity to tailor management to the individual. Here we present some of the available technologies related to some of the key animal welfare measures on dairy farms, such as lying and rumination behavior, lameness and BCS monitoring. Generally, changes associated with lying time and rumination behavior are precise at the individual level but still not able to be generalized between herds, regions and productions systems. Automated gait scoring and BCS of individual cows are commercially available and becoming more accessible, allowing for increased opportunity for use on commercial dairy farms and in dairy research. Any use of PDT should understand the precision, accuracy and bias of the devices used, especially when interpreting herd summaries and regional averages. Most technologies evaluated are highly precise, but many fail to be accurate. In addition to their uses for farmers, PDT with high accuracy also aid researchers and processors to collect comprehensive data sets and reliable records. Overall, the potential uses of precision technology tools are likely to become more common on farms, and consequently improve dairy cattle management strategies, aid in herd monitoring, and improve animal welfare at the individual level.

Protection of Dairy Cattle in the EU: State of Play and Directions for Policymaking from a Legal and Animal Advocacy Perspective

Simple SummaryThis paper presents the regulatory instruments applicable to the protection of dairy cattle in the EU and summarizes the available evidence, pointing to some serious shortcomings in enforcing the law. Corrective measures are proposed from a legal and animal advocacy perspective, with additional considerations on best practice and directions for future developments in legislation and good practice. With the exception of a detailed Directive for calves, the welfare of dairy cattle is not regulated by species-specific legislation in the European Union. Their basic protection falls under the provisions of Directive 98/58/EC, also known as the “General Farm Animals Directive”. Article 3 of this Directive states: “Member States shall make provision to ensure that the owners or keepers take all reasonable steps to ensure the welfare of animals under their care and to ensure that those animals are not caused any unnecessary pain, suffering or injury”. However, recent reports show that the welfare of dairy cows in the EU is not sufficiently monitored and that serious problems persist. Lameness, mastitis, cubicle design, flooring, cleanliness, and permanent tethering remain critical areas. We argue that, to demonstrate compliance with Article 3 of Directive 98/58, farmers and Member States should urgently address these issues. The increasing proportion of cows that are never allowed to graze and high milk yields are also reasons for concern and will need to be addressed as a matter of priority in future EU guides to good practice and, eventually, legislation.

The Potential of Post-Mortem Carcass Assessments in Reflecting the Welfare of Beef and Dairy Cattle.

Simple SummaryInformation recorded at abattoirs may be useful for informing farmers of the health and welfare of their herds. This information can also be used to identify where and when welfare problems occur in the production chain. This study aimed to determine whether welfare issues in live beef and dairy cattle were reflected in post-mortem measures. A number of ante-mortem issues, including lameness and poor body condition, were reflected in post-mortem assessments. However, these varied according to the breed of cattle. While more research is needed, the results suggest that post-mortem assessments in cattle may be useful in reflecting the welfare of the live animal. Meat inspection currently focuses on human health and food safety. Adapting meat inspection processes to allow for greater consideration of animal welfare would be beneficial given the increased public interest in the welfare of food animals.There is increasing interest in utilizing meat inspection data to help inform farmers of the health and welfare of their herds. The aim of this study was to determine whether ante-mortem measures of welfare in beef and dairy cattle (N = 305) were associated with post-mortem measures at a United Kingdom (UK) abattoir. Multiple regression analysis was used to determine the ability of ante-mortem measures of lameness, cleanliness, skin lesions, hair loss and body condition in predicting hot carcass weight and the frequency of carcass bruising. For beef cattle, lameness score (p = 0.04), cleanliness score (p = 0.02) and age (p < 0.001), were predictors of carcass bruise score while lameness score (p = 0.03), body condition (p = 0.01) and sex (p < 0.001) were predictors of hot carcass weight. For dairy cattle, sex (p < 0.001) and slaughter day (p < 0.001) were predictors of carcass bruise score while skin lesion score (p = 0.01), body condition (p < 0.001), age (p < 0.001), slaughter day (p < 0.001) and number of moves (p = 0.01) were predictors of hot carcass weight. These results suggest that recording carcass weight and carcass bruising at meat inspection may have potential as a general indicator of health and welfare status in cattle. However, animal characteristics and variables, such as slaughter day and abattoir staffing, should be taken into account when interpreting the results.

Quantitative Trait Loci Mapping for Lameness Associated Phenotypes in Holstein-Friesian Dairy Cattle.

Lameness represents a significant challenge for the dairy cattle industry, resulting in economic losses and reduced animal health and welfare. The existence of underlying genomic variation for lameness associated traits has the potential to improve selection strategies by using genomic markers. Therefore, the aim of this study was to identify genomic regions and potential candidate genes associated with lameness traits. Lameness related lesions and digital cushion thickness were studied using records collected by our research team, farm records, and a combination of both. Genome-wide analyses were performed to identify significant genomic effects, and a combination of single SNP association analysis and regional heritability mapping was used to identify associated genomic regions. Significant genomic effects were identified for several lameness related traits: Two genomic regions were identified on chromosome 3 associated with digital dermatitis and interdigital hyperplasia, one genomic region on chromosome 23 associated with interdigital hyperplasia, and one genomic region on chromosome 2 associated with sole haemorrhage. Candidate genes in those regions are mainly related to immune response and fibroblast proliferation. Quantitative trait loci (QTL) identified in this study could enlighten the understanding of lameness pathogenesis, providing an opportunity to improve health and welfare in dairy cattle with the addition of these regions into selection programs.

Different assessment systems fail to agree on the evaluation of dairy cattle welfare at farm level

As different animal welfare assessment schemes are based on different assumptions but all have similar welfare claims, we studied the degree of agreement among three systems, two mainly based on resource-based measures: Animal Needs Index (ANI) and Lombardy Extension Service Index (IBS) and one mainly based on animal based-measures (i.e. Welfare Quality®). Thirty-three dairy cattle farms were assessed by one trained assessor. In order to make the welfare categories of the different welfare assessment systems comparable with one another the first three welfare categories of the ANI scheme were merged into a not acceptable category so that a score scale with 4 welfare categories was obtained. Then, we calculated the Cohen's weighted kappa (k) to assess the degree of agreement between the three welfare assessment systems in terms of welfare categories. In addition, the correlation between pair of systems in terms of total scores (the mean of the four principles of the Welfare Quality® was used for this calculation) was calculated using the Spearman correlation coefficient (rs). Our results showed that only few farms were scored in the same welfare category of different welfare assessment systems as only 12.1% of the farms were scored as enhanced and 3% of the farms were scored as acceptable according to all three welfare assessment systems. Based on k statistics, the degree of agreement in terms of welfare categories was not significant for the pairs IBS – ANI (k = 0.128; P = 0.130) and WQ – ANI (k = 0.014; P = 0.850), whereas it tended to be significant for the pair WQ - IBS (k = 0.256; P = 0.070). The Spearman correlation coefficient of the total scores confirmed the low agreement among the three systems. In particular, the correlation coefficients between ANI-IBS, IBS-WQ and ANI-WQ were rs = 0.022, 0.208 and −0,068, respectively, and none of them was significant (P = 0.905, P = 0.246 and P = 0.707, respectively). Significant correlations were only observed between the Welfare Quality® principle “Good health” and the somatic cell counts (rs = −0.500; P = 0.003), the number of lactating animals (rs = −0.360; P = 0.040), the total number of cows per herd (rs = −0.339; P = 0.053), whereas the correlation of the same principle with mortality (rs = −0.315; P = 0.074) and calving interval ((rs = −0.330; P = 0.070) tended to be significant. We conclude that different schemes based on different assessment criteria yield different results albeit making similar welfare claims.

Developing and evaluating threshold-based algorithms to detect drinking behavior in dairy cows using reticulorumen temperature

In this study, we assessed for the first time the use of a reticuloruminal temperature bolus and a thresholding method to detect drinking events and investigated different factors that can affect drinking behavior. First, we validated the detection of drinking events using 16 cows that received a reticuloruminal bolus. For this, we collected continuous drinking behavior data for 4 d using video recordings and ambient and water temperature for the same 4 d. After all the data were synchronized, we performed 2 threshold algorithms: a general-fixed threshold and a cow-day specific threshold algorithm. In the general-fixed threshold, a positive test was considered if the temperature of any cow fell below a fixed threshold; in the cow-day specific threshold, a positive test was considered when the temperature of specific cows fell below the threshold value deviations around the mean temperature of the cow for that day. The former was evaluated using a threshold varying between 35.7 and 39.5°C, and the latter using the formula μ-n10σ, where µ = mean of the temperature of each cow for one day, n = 1, 2, …, 20, and σ = standard deviation of the temperature of each cow on that day. The performance of the validation of detection using each of the threshold types was computed using different metrics, including overall accuracy, precision, recall (also known as sensitivity), F-score, positive predictive value, negative predictive value, false discovery rate, false omission rate, and Cohen's kappa statistic. The findings of the first study showed that the cow-day specific threshold of n = 10 performed better (true positives = 466; false positives = 167; false negatives = 165; true negatives = 8,416) than using a general-fixed threshold of 38.1°C (true positives = 449; false positives = 181; false negatives = 182; true negatives = 8,402). With the information gained in this first study, we investigated the different factors associated with temperature drop characteristics per cow: number of drops, mean amplitude of the drop, and mean recovery time. For this, we used data from 54 cows collected for almost 1 yr to build a mixed-effect multilevel model that included days in milk, parity, average monthly milk production, and ambient temperature as explanatory variables. Cow characteristics and ambient temperature had significant effects on drinking events. Our results provide a platform for automated monitoring of drinking behavior, which has potential value in prediction of health and welfare in dairy cattle.

Sampling strategies for assessing lameness, injuries, and body condition score on dairy farms

Our objective was to evaluate how sampling strategies (i.e., how many cows to sample and which animals to include) used in 4 dairy cattle welfare assessment programs affect the classification of dairy farms relative to thresholds of acceptability for animal-based measures. We predicted that classification performance would improve when more cows were sampled and when selecting from all lactating cows versus when some pens were excluded. On 38 freestall farms, we assessed all 12,375 cows for lameness, injuries on the tarsal (hock) and carpal joints, and body condition score and calculated the farm-level prevalence for each measure. Based on approaches used in the industry, we evaluated 6 sampling strategies generated using formulas with precision (d) of 15, 10, or 5% applied to either a single high-producing pen or all lactating cows; an additional sample was included with d = 10% applied to the entire herd, selecting lactating cows in proportion to their representation in the herd. For each sampling strategy, cow records were selected randomly (in 10,000 replicates) to calculate prevalence. The strategy of assessing all cows in the high-producing pen was also compared. Farms were classified as meeting (below) or failing to meet (above) thresholds of ≤15% moderate lameness; ≤20% moderate carpal or hock injuries; <10, <5, and ≤1% severe lameness; or injuries on the carpus or hock; and <5, <3, <1, or 0% thin cows. For each measure and threshold, we calculated pooled percent agreement, kappa, sensitivity, specificity, and positive and negative predictive value for each sampling strategy using true prevalence as the gold standard for herd classification. Across measures and thresholds, classification performance increased with the number of cows sampled [i.e., when narrower precision values (d = 5 vs. 10 vs. 15%) were used in the sample size calculation]. Because narrower precision values can dramatically increase sample size, assessment programs may need to consider both feasibility and the degree of misclassification they will accept. Applying the formula directly to lactating cows performed better than applying it to the entire herd and then selecting lactating cows in proportion to their representation in the herd. Farm classifications were similar whether cows in the hospital pen were included or excluded from the sample. Selecting all cows from the high-producing pen resulted in classifications similar to when including all lactating cows, suggesting that assessing cows from the high-producing pen may serve as an acceptable proxy for all lactating cows on the farm.

Antimicrobial stewardship in the dairy industry: responding to the threat of antimicrobial resistance.

Dairy Australia is the national service body for the Australian dairy industry. Its role is to help farmers adapt to a changing operating environment and achieve a profitable, sustainable dairy industry. Although the use of antibiotics in Australian agriculture is relatively low in global terms, Dairy Australia recognises important drivers for continuous improvement in antimicrobial stewardship (AMS). Dairy Australia's first strategic priority is to support profitable farms. This priority has driven the development of a range of on-farm change management programs in the animal health and welfare fields to optimise the unit cost of production and dairy cattle welfare. Dairy Australia's third strategic priority is to further develop a 'trusted dairy industry'. Previous and current work under these two strategies position the dairy industry favourably with respect to confronting the challenge of antimicrobial resistance (AMR) and supporting sound AMS with the guiding principle of 'as little as possible, as much as necessary'. However, given an incomplete but ongoing threat of AMR, more work is needed. Supported by Dairy Australia, the dairy industry has developed an antimicrobial use strategy aligning with the Australian Animal Sector National AMR Plan 2018.

Thermotolerance indicators related to production and physiological responses to heat stress of holstein cows.

Heat stress (HS) adversely influences dairy cattle welfare and productivity. This study aimed to investigate the effects of HS on production and physiological parameters of Holstein cows. Two experiments each lasted 6 weeks were conducted in four Tunisian farms, firstly during summer under HS (n = 80, THI = 77) and later during autumn under thermo-neutral (n = 80, THI = 54) conditions. Respiration rate (RR), skin temperature (ST), rectal temperature (RT) and milk yield were measured, and milk samples were collected on 2 days every week during each experimental period. Temperature and relative humidity were measured inside the barn to calculate the temperature-humidity index (THI). Mixed models were used to evaluate the effects of period and the relationships between THI and physiological and production traits. Reaction norm models were applied to quantify the individual responses of cows across the trajectory of THI during the HS period. A clustering methodology was developed to identify tolerant and sensitive cows to HS based on their slope for response of physiological and production traits during HS period. In summer, RR (61 breaths/min) and ST (37.7 °C) were 2.3- and 1.3-fold higher, whereas milk yield per milking was 24% lower compared with thermo-neutral conditions. Linear relationship between THI and RR, ST and RT was observed and showed increases by 2 breaths/min, 0.5 °C and 0.04 °C per increase in one THI unit, respectively. Inversely, milk, fat and protein yields showed a drop of 0.13 kg, 0.4 g and 0.3 g per milking per increase in one THI unit, respectively. Cows qualified to be heat tolerant by our work tended to have higher RR, ST, and RT and lower to almost no decay in milk yield compared to cows qualified to be heat sensitive. Specifically, RR could be used as a reliable indicator for thermotolerance. The results of this study deepen our understanding of different aspects of HS resilience.

Invited review: Examining farmers' personalities and attitudes as possible risk factors for dairy cattle health, welfare, productivity, and farm management: A systematic scoping review

We aimed to determine how research regarding farmers' personalities and attitudes as risk factors is reported (methodological approaches to assessing, extracting, and processing data and analyzing risk factors) and to explore evidence for the effect of farmers' attitudes and personalities on dairy cattle health, welfare, productivity, and management. Therefore, we conducted a systematic review of studies on personality and attitude as risk factors for dairy cattle health, welfare, productivity, and farm management. Database searches captured 1,144 records, and 38 were finally included in the review. Thirty-three manuscripts assessed farmers' attitudes, 1 assessed their personalities, and 4 assessed both as risk factors. These potential risk factors were checked for relationships with more than 50 different outcome variables regarding farm management (17 manuscripts), animal health (13 manuscripts), animal productivity (11 manuscripts), and animal welfare (4 manuscripts). The approaches to assessing risk factors and processing and interpreting data varied greatly; thus, drawing conclusions regarding the effects of attitude and personality as risk factors is impeded because manuscripts are difficult to compare. Our findings highlight the need for harmonization of attitudes and personality assessments in future research. Furthermore, researchers should carefully consider which depth of detail to apply when planning and evaluating related research. Nevertheless, results highlight the importance of the effect of personality and attitude on outcomes. Farmers' personality and attitudes are associated with dairy cattle health, welfare, productivity, and management. In general, attitudes indicating higher degrees of technical knowledge, affection with problems, perceived responsibility, perception of control of a situation, a better human-animal relationship, or a positive evaluation of the benefits of management decisions tended to affect outcomes in a beneficial way. "Agreeableness" and "conscientiousness" were shown to promote better farm performance, whereas "neuroticism" had a negative effect. Therefore, further research on attitude and personality and their consideration by professionals and decision-makers within the dairy sector and politics is strongly recommended. This might provide the chance to better understand the needs of dairy farmers and therefore develop tailored advice and support strategies to improve both satisfactory and constructive cooperation.

Добробут молочної худоби в умовах глобальних кліматичних змін

Добробут молочної худоби в умовах глобальних кліматичних змін

Culling Decisions and Dairy Cattle Welfare During Transport to Slaughter in the United States.

Nearly a third of dairy cows are removed from herds annually in the United States. Our objective is to describe what is known about the process of sending a dairy cow to slaughter in the United States including our perspectives about her fitness for transport, her condition upon arrival at the slaughter plant and the decisions to transport her in the first place. This process begins when the decision is made by the farmer to remove a cow from the herd. Once a cow leaves the farm, she makes her way either directly to slaughter or goes through one or more livestock auctions or markets along the way. Cull cows can travel considerable distance to slaughter and may face a number of welfare challenges during this process. These stressors are exacerbated if the cows are compromised and not fit for transport. While all major industry stakeholders have recommendations or guidelines about fitness for transport, none are enforced rules or regulations. There is little financial disincentive for farmers to stop shipping compromised dairy cows, and, in some cases, slaughter plants are willing to take the risk on purchasing cows in this condition as those that survive the journey often generate a good margin of return. As a result, the decision to ship compromised cull cows is too common, as indicated by data about cow condition both at the farm and the slaughter plant. Compromised culled dairy cattle continue to arrive at slaughter plants and leadership within the industry is needed to tackle this welfare challenge.

Compost bedded-pack barn as an alternative housing system for dairy cattle in Italy: effects on animal health and welfare and milk and milk product quality

We evaluated the effects of a compost bedded-pack barn as an alternative housing system for dairy cattle in Italy. Twenty-two Fleckvieh dairy cows were randomly allocated to two housing systems: (1) a conventional freestall barn (FB) and (2) a compost bedded-pack barn (CB). Clinical data and behavioural measurements were collected. Milk quality parameters and cheese characteristics were also evaluated. Scores for hind limb cleanliness and locomotion were better in the CB-housed than in the FB-housed cows (p < .01). The incidence of standing was higher (p < .01), while that of lying in head-up position and the expression of agonistic interaction were lower (p < .001) in the CB-housed animals. An avoidance distance of 50 cm was more frequent, whereas a distance of more than 100 cm was less frequent among the CB-housed animals (p < .001). Milk fat content was greater and somatic cell count was lower, as were total bacterial count (TBC) and coliforms in cheese made from milk from the CB-housed cows (p < .05). Descriptive comparisons between CB and FB bedding materials revealed promising results for salinity, fulvic + humic acid content, ammonia concentration, and TBC, but also issues related to bacterial levels, temperature, and nutrient composition of CB bedding material. Our results suggest that cow health and welfare, as well as milk and milk product quality, may benefit from CB housing, supporting its potential as a promising alternative loose-housing system for dairy cattle in Italy.HighlightsHousing systems and management practices exert a remarkable influence on dairy cattle welfare, making the choice of environment extremely important.Cow health and welfare, as well as milk and milk product quality, may benefit from compost bedded-pack housing system.Issues related to bacterial levels, temperature, and nutrient composition of bedding material may be encountered in compost bedded-pack housing system.

Effects of 3 surface types on dairy cattle behavior, preference, and hygiene

Muddy surfaces have negative effects on the health and welfare of dairy cattle, and if possible, cows will avoid this surface. However, it is unclear whether it is the moisture content or the contamination with manure that is aversive to the cows. This study aimed to assess the use and preference for different wood chip (0.4 m deep) surface types: (1) clean and dry (clean, dry matter content, DM: 44 ± 2.8%), (2) dirty (dirty, contaminated with manure, DM: 40 ± 3.7%), and (3) clean and wet (wet, wetted by water, DM: 23 ± 3.3%). Eighteen nonlactating, pregnant cows were tested individually (mean 24-h temperature: 9.9 ± 4.46°C, mean ± standard deviation for all preceding values). Cows were kept indoors in test pens for 18 h on wood chip without feed and 6 h on pasture to allow for daily feed intake. To ensure cows made informed choices and to measure changes in behavior and hygiene associated with each option, they were first exposed to each surface for 5 d (n = 12 cows per surface type when they were restricted on one surface; i.e., each cow was exposed to 2 treatment surfaces only). Cows on the wet surface spent the least amount of time lying when restricted to one surface for 18 h (wet: 21%, dirty: 57%, clean: 64%) and spent more time lying when on pasture for 6 h (wet: 13%, dirty: 4%, clean: 3%). The total lying times during the 5-d surface exposure were wet: 4.6 ± 1.04 h, dirty: 10.6 ± 0.25 h, and clean: 11.7 ± 0.25 h per 24 h. Cows restricted on the wet surface for 18 h had fewer bouts (no.) of lateral lying (wet: 0.9 ± 1.36, dirty: 6.3 ± 1.36, clean: 8.4 ± 1.38), spent less time lying with their heads supported (wet: 18.9 ± 7.17 min, dirty: 36.7 ± 7.17 min, clean: 39.1 ± 7.26 min), and spent less time with the front legs tucked (wet: 16 ± 4.3%, dirty: 41 ± 4.3%, clean: 50 ± 4.3% of time spent lying, mean ± standard error of the mean for all preceding values), than cows on the other surfaces. Cows on the dirty surface were less clean compared with the other treatment groups (0.6 of a score on a 5-point scale; standard error of the differences of means: 0.11 for both comparisons). They were then given a free choice between 2 known surfaces for 2 consecutive days (n = 6 per pairwise choice). Cows ranked the surfaces as clean > dirty > wet. In summary, there is compelling evidence that wet surfaces impair the welfare of dairy cattle by affecting the quantity and quality of rest. Rebound responses indicate that the motivation to rest is not fulfilled on wet surfaces. Finally, when given a choice, they show clearly that they will avoid wet and dirty surfaces. The combined results indicate that changes in affective state likely underlie these behavioral responses.