The aim of this study was to assess the effect of grazing (G) vs. zero-grazing (ZG), level of milk production, and quality and type of housing system [free stalls (FS) and straw yards (SY)] on the prevalence of lameness and leg injuries in dairy cows. Observations were made on 37 commercial dairy farms across Great Britain. A single visit of 5 d duration was made to each farm. During this visit, lameness scores and the incidence of swellings, rubs, and injuries to hocks and knees were recorded on all the peak- or mid-lactation cows. Aspects of the quality of housing and management that were likely to affect foot and leg health were recorded. There were more lame cows on ZG farms (39 +/- 0.02%) than on grazing (G) farms (15 +/- 0.01%), and lameness scores were higher on FS farms compared with SY farms (0.25 +/- 0.01 vs. 0.05 +/- 0.01). Cows on SY farms had fewer hock and knee injuries compared with FS farms. The frequency of knee swellings was higher on ZG farms (0.31 +/- 0.02) than on G farms (0.15 +/- 0.01). Aspects of the free-stall design affected foot and leg health. The number of hock swellings increased with increasing stall gradient (0.16 +/- 0.01 with no slope vs. 0.39 +/- 0.02 at a 0 to 1.5% slope). There was an interaction between the length of the free-stall lunging space and the hip width of the cow, indicating that the incidence of lameness is generally highest on farms with small free stalls and heavy cows. High levels of milk production did not affect lameness or leg injury. The results indicate that housing cows throughout the year potentially has a detrimental effect on foot and leg health. However, good free-stall design may reduce lameness and leg lesions.
As part of a larger on-farm dairy cow welfare and behaviour project, data were collected from 22 commercial dairy farms over two winters (2000-2001 and 2001-2002). A further winter of farm sampling will complete the project (2002-2003), with five types of housing and production systems being assessed: high-, medium- and low-milk-production herds with cubicle housing, high-production herds with zero grazing and cubicle housing, and medium-production herds with straw courts. All cows in one early or mid-lactation group from each farm were observed. For the current analysis, locomotion, cleanliness and body condition were scored for the group, and an audit of building quality was carried out. Analysis of the available data shows that some aspects of building design affect the welfare of dairy cows. A positive correlation was found between mean body condition score of the cows and mean locomotion score (P = 0.047). Body condition score correlated negatively with the number of cows in the group (P = 0.049). Negative correlations were found between locomotion score and the ratio of cubicles to cows (P = 0.033) and between the size of cubicles and leg cleanliness (P = 0.012). Trends were also seen in the relationships between farm type and locomotion score (P = 0.048), production level and locomotion score (P = 0.074) and cow cleanliness and cubicle size (P = 0.061). These results indicate that the quality of the housing and the management system can affect cow welfare. These measures may be useful to include in on-farm welfare assessment schemes.
The modern dairy industry involves close contact between the stockperson and their animals and thus complex relationships develop between stockperson and cow. This study examines the assessment of stockmanship quality on commercial dairy farms and aims to develop useable protocols for on-farm assessment of stockmanship for inclusion in a quality-assurance scheme. In this study the behaviour of cows was used to assess the quality of stockmanship on fifteen commercial dairy farms, which varied in level of production and intensification. The behavioural reactions of cows to a novel human and the behaviour of the stockperson before, during and after milking were scored, and stockpersons completed a fifty-question psychometric attitude questionnaire, which was made up of seven subgroups of questions. Preliminary results indicated that stockpersons differ in the behaviour they use when handling cows. Stockpersons on zero-grazing farms appeared to use fewer positive tactile behaviours and more severe negative behaviour. The behavioural responses of cows in a novel human approach test differed between farm types. Cows on straw-court farms appeared to be more flighty and less confident in the presence of a novel human. Differences were observed in mean attitude scores for the seven subgroups of questions. Job type appears to have an effect on the extent of the stockperson's positive attitude toward cows, animals in general, job satisfaction and farm economics. The results indicate that there are differences in quality of stockmanship between farms and that the three methods chosen do identify these. They show that the human-animal relationship is a potential source of fear for cows in dairy production and therefore can be used to identify poor stockmanship.
There is a trend toward increasing intensification in dairy farming in the United Kingdom. In particular, there is concern over systems in which cows are housed throughout the year, as the behavioural restriction implicit in these systems is associated with poor welfare in other species. The aim of this on-going project is to determine how this affects the behaviour and welfare of dairy cattle. A range of behavioural, physical and health measures are being used to assess cow welfare on about 40 commercial British dairy farms. Initially, five farm types were identified from analysis of returns from a farmer questionnaire. Milk production level and housing type were the principal factors explaining variation in farm type. The sample groups are: high-, mid- and low-production cubicle-housing units, mid-production straw-court units, and cubicle-housing high-production zero-grazing units. Observations will take place over three winter housing periods (2000/01 to 2002/03), with recording on each unit taking five days. Our main hypothesis is that the behavioural and physical responses of ‘at-risk’ younger cows provide a sensitive indication of farm-level ‘stress’. Cows are marked according to age, and the feed-face videotaped continuously to record feeding time and social interactions. Temporal organisation of behaviour will be analysed using fractal mathematics and qualitative assessment approaches used in a human interaction test. Cow cleanliness, condition score, response to a novel object and the incidences of lameness and leg injury are recorded, and building quality is assessed. Ultimately, multivariate methods will be used to test our underlying hypothesis and to assess effects of housing and production type on behaviour and welfare. This analysis may identify key objective measures of welfare for use in farm assurance schemes.
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