Abstract: Abstract The aim of our study was to explore the association between dominance rank and body condition in outdoor group-living domestic horses, Equus caballus. Social interactions were recorded using a video camera during a feeding test, applied to 203 horses in 42 herds. Dominance rank was assigned to 194 individuals. The outcome variable body condition score (BCS) was recorded using a 9-point scale. The variables age and height were recorded and considered as potential confounders or effect modifiers. Results were analysed using multivariable linear and logistic regression techniques, controlling for herd group as a random effect. More dominant (p = 0.001) individuals generally had a higher body condition score (p = 0.001) and this association was entirely independent of age and height. In addition, a greater proportion of dominant individuals fell into the obese category (BCS >= 7/9, p = 0.005). There were more displacement encounters and a greater level of interactivity in herds that had less variation in age and height, lending strength to the hypothesis that phenotypic variation may aid cohesion in group-living species. In addition there was a strong quadratic relationship between age and dominance rank (p < 0.001), where middle-aged individuals were most likely to be dominant. These results are the first to link behavioural predictors to body condition and obesity status in horses and should prompt the future consideration of behavioural and social factors when evaluating clinical disease risk in group-living animals.

Abstract: The effects of diet on horse behaviour have not previously been quantified in detail. In this study, we examined the behaviour of 17 foals from the age of 2 to 40 weeks. Each foal received either a starch and sugar (SS) diet or a fat and fibre (FF) diet. The two diets contained similar digestible energy, crude protein and micronutrients, but differed in the fat and non-structural carbohydrate balance. The baseline behaviour of the foals was observed every 2 weeks by focal animal sampling. Additional behavioural observations were conducted when the foals were weaned by one of two methods. Approximately 2 months after weaning, the temperament and tractability of the young horses was assessed using standardised tests. Responses to a novel object, to a novel person, and during a handling test were observed and quantified. Horses grew well on both diets with no apparent effects of diet on growth rate or baseline behaviour. Immediately after weaning, horses receiving the FF diet cantered less frequently (F = 5.10; p < 0.05), for a shorter duration (F = 7.23; p < 0.05) and appeared to be more settled. Foals that were barn-weaned appeared more stressed than foals that were paddock-weaned. In the temperament tests, horses receiving the FF diet spent significantly more time investigating (F = 6.78; p < 0.05), and less time looking at (F = 7.93; p < 0.05), the novel object than horses receiving the SS diet. They also spent less time walking away from the novel person (F = 5.16; p < 0.05) and their time taken to complete the handling test was significantly lower (F = 8.72; p = 0.01). Overall, the horses that received the FF diet appeared less distressed immediately after weaning and seemed calmer and more inquisitive during a range of temperament tests.

Abstract: REASON FOR PERFORMING STUDY: Monitoring weight of foals is a useful management practice to aid in maximising athletic potential while minimising risks associated with deviations from normal growth. OBJECTIVE: To develop predictive equations for weight, based on linear measurements of growing Thoroughbreds (TBs). METHODS: Morphometric equations predicting weight from measurements of the trunk and legs were developed from data of 153 foals. The accuracy, precision and bias of the best fitting equation were compared to published equations using a naive data set of 22 foals. RESULTS: Accuracy and precision were maximised with a broken line relating calculated volumes (V(t + l)) to measured weights. Use of the broken line is a 2 step process. V(t + l) is calculated from linear measures (m) of girth (G), carpus circumference (C), and length of body (B) and left forelimb (F). V(t + I) = ([G2 x B] + 4[C2 x F]) 4pi. If V(t + l) < 0.27 m3, weight is estimated: Weight (kg) = V(t + l) x 1093. If V(t + l) > or = 0.27 m3: Weight (kg) = V(t + l) x 984 + 24. The broken line was more accurate and precise than 3 published equations predicting the weight of young TBs. CONCLUSIONS: Estimation of weight using morphometric equations requires attention to temporal changes in body shape and density; hence, a broken line is needed. Including calculated leg volume in the broken line model is another contributing factor to improvement in predictive capability. POTENTIAL RELEVANCE: The broken line maximises its value to equine professionals through its accuracy, precision and convenience.