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Hintz, R. L. (1980). Genetics of performance in the horse. J. Anim Sci., 51(3), 582–594.
Abstract: Criteria used to measure performance, environmental factors that influence performance and estimates of heritability are needed to estimate genetic differences. Published heritability estimates of various measures of performance in the horse are summarized. The average heritability estimates of pulling ability and cutting ability are .25 and .04, respectively. Heritability estimates are .18, .19 and .17 for log of earnings from jumping, 3-day event and dressage performance, respectively. Heritability estimates of performance rates, log of earnings, earnings, handicap weight, best handicap weight, time and best time for the Thoroughbred are .55, .49, .09, .49, .33, .15 and .23, respectively. Heritability estimates of log of earnings, earnings, time and best time for the trotter are .41, .20, .32, and .25, respectively. The heritability estimate of best time for the pacer is .23. The effectiveness of selection will depend on which performance trait is to be improved.
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Olesen, I., Groen, A. F., & Gjerde, B. (2000). Definition of animal breeding goals for sustainable production systems. J. Anim Sci., 78(3), 570–582.
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Croney, C. C., & Millman, S. T. (2007). BOARD-INVITED REVIEW: The ethical and behavioral bases for farm animal welfare legislation. J. Anim Sci., 85(2), 556–565.
Abstract: Concerns about farm animal welfare vary among individuals and societies. As people increasingly consider the values underlying current farm animal production methods, farm animal welfare policy debates have escalated. Recent food animal protection policies enacted in the European Union have fueled highly contentious discussions about the need for similar legislative activity in the United States. Policymakers and scientists in the United States are apprehensive about the scientific assessment, validation, and monitoring of animal welfare, as well as the unforeseen consequences of moving too hastily toward legislating farm animal welfare. The potential impact of such legislation on producers, food prices, animals, and concerned citizens must also be considered. Balancing the interests of all stakeholders has therefore presented a considerable challenge that has stymied US policymaking. In this review, we examine the roles of ethics and science in policy decisions, discuss how scientific knowledge relative to animal behavior has been incorporated into animal welfare policy, and identify opportunities for additional refinement of animal welfare science that may facilitate ethical and policy decisions about animal care.
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Sweeting, M. P., Houpt, C. E., & Houpt, K. A. (1985). Social Facilitation of Feeding and Time Budgets in Stabled Ponies. J. Anim Sci., 60(2), 369–374.
Abstract: Eight pairs of pony mares were observed. Members of a pair were housed in adjacent stalls and fed hay ad libitum. The behavior of both ponies was recorded simultaneously in the morning (1000 to 1200 h) and afternoon (1400 to 1600 h) for a total of 117 h. The time budget was: 70.1 {+/-} 8.6% eating; 17.8 {+/-} 7.4% standing (including stand rest, stand alert and stand nonajert); 5.2 {+/-} 7.0% pushing hay; 2.9 {+/-} 1.2% walking; 1.9 {+/-} 2.9% drinking; 1.3 {+/-} 1.1% self-grooming; .2 {+/-} .3% defecating; .06 {+/-} .1% chewing nonfood items; .06 {+/-} .03% urination; .06 {+/-} .1% licking salt; .07 {+/-} .1% pawing hay; .6 {+/-} .7% lying and .07 {+/-} .08% stretching the neck over the stall wall dividing the ponies. While eating, the ponies lifted their heads 25.4 {+/-} 11.0 times/h. In less than one-half of the occasions when urination or defecation was observed, the ponies walked away from the spot where they had been eating to eliminate. During one-half of the observations, visual contact between the ponies was prevented by a solid partition between the stalls. The ponies spent significantly more time standing nonalert when the partition prevented visual contact (12 {+/-} 7%) than when visual contact could take place (6 {+/-} 3%, P<.05). When fresh hay was supplied in the mornings, the ponies spent similar amounts of time eating whether visual contact was allowed or not, but in the afternoon significantly more time was spent feeding when visual contact was allowed (73 {+/-} 4%) than when it was not (60 {+/-} 7%). Less time was spent eating, in the absence of visual contact, despite the presence of auditory and olfactory contact. Apparently social facilitation is important in maintaining feeding behavior in ponies. N1 -
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Swanson, J. C. (1999). What are animal science departments doing to address contemporary issues? J. Anim Sci., 77(2), 354–360.
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McCall, C. A. (1990). A Review of Learning Behavior in Horses and its Application in Horse Training. J. Anim Sci., 68(1), 75–81.
Abstract: A literature review of the equine learning research conducted in the past 20 yr revealed that the purpose of most of the studies was to determine whether horses respond to learning situations in the same way that other animals do. The results indicated that horses can discriminate many different types of stimuli, and they learn through stimulus-response- reinforcement chains. Most equine learning studies have utilized learning tasks depending on primary positive reinforcement to get the horses to work the tests. Yet, the majority of horse trainers use negative reinforcement more often than primary positive reinforcement in their training procedures. Therefore, past research often did not have a direct application to training methods commonly utilized in the horse industry. Research also demonstrated that 1) early experiences of horses can affect learning ability later, 2) equine memory is efficient and 3) concentrating learning mals in long training sessions decreases equine learning efficiency. Many factors that might affect equine learning ability and be applicable to training practices in the horse industry have not been thoroughly investigated; for example, interactions between nutrition and learning and between exercise and learning, the use of negative and secondary reinforcements in horse training, and the horse's ability to make few initial errors compared to its ability to eliminate errors as training progresses all require investigation in future equine learning studies. N1 -
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Allen, C. (1998). Assessing animal cognition: ethological and philosophical perspectives. J. Anim Sci., 76(1), 42–47.
Abstract: Developments in the scientific and philosophical study of animal cognition and mentality are of great importance to animal scientists who face continued public scrutiny of the treatment of animals in research and agriculture. Because beliefs about animal minds, animal cognition, and animal consciousness underlie many people's views about the ethical treatment of nonhuman animals, it has become increasingly difficult for animal scientists to avoid these issues. Animal scientists may learn from ethologists who study animal cognition and mentality from an evolutionary and comparative perspective and who are at the forefront of the development of naturalistic and laboratory techniques of observation and experimentation that are capable of revealing the cognitive and mental properties of nonhuman animals. Despite growing acceptance of the ethological study of animal cognition, there are critics who dispute the scientific validity of the field, especially when the topic is animal consciousness. Here, a proper understanding of developments in the philosophy of mind and the philosophy of science can help to place cognitive studies on a firm methodological and philosophical foundation. Ultimately, this is an interdisciplinary task, involving scientists and philosophers. Animal scientists are well-positioned to contribute to the study of animal cognition because they typically have access to a large pool of potential research subjects whose habitats are more controlled than in most field studies while being more natural than most laboratory psychology experiments. Despite some formidable questions remaining for analysis, the prospects for progress in assessing animal cognition are bright.
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