| Records |
| Author |
Duncan, I.J.; Petherick, J.C. |
| Title |
The implications of cognitive processes for animal welfare |
Type |
Journal Article |
| Year |
1991 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
69 |
Issue |
12 |
Pages |
5017-5022 |
| Keywords |
*Animal Welfare; Animals; Animals, Domestic/*psychology; *Cognition |
| Abstract |
In general, codes that have been designed to safeguard the welfare of animals emphasize the importance of providing an environment that will ensure good health and a normal physiological and physical state, that is, they emphasize the animals' physical needs. If mental needs are mentioned, they are always relegated to secondary importance. The argument is put forward here that animal welfare is dependent solely on the cognitive needs of the animals concerned. In general, if these cognitive needs are met, they will protect the animals' physical needs. It is contended that in the few cases in which they do not safeguard the physical needs, it does not matter from a welfare point of view. The human example is given of being ill. It is argued that welfare is only adversely affected when a person feels ill, knows that he or she is ill, or even thinks that he or she is ill, all of which processes are cognitive ones. The implications for welfare of animals possessing certain cognitive abilities are discussed. For example, the extent to which animals are aware of their internal state while performing behavior known to be indicative of so-called states of suffering, such as fear, frustration, and pain, will determine how much they are actually suffering. With careful experimentation it may be possible to determine how negative they feel these states to be. Similarly, the extent to which animals think about items or events absent from their immediate environment will determine how frustrated they are in the absence of the real item or event but in the presence of the cognitive representation. |
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University of Guelph, Canada |
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0021-8812 |
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PMID:1808195 |
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| Call Number |
Equine Behaviour @ team @ |
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2753 |
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| Author |
Curtis, S.E.; Stricklin, W.R. |
| Title |
The importance of animal cognition in agricultural animal production systems: an overview |
Type |
Journal Article |
| Year |
1991 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
69 |
Issue |
12 |
Pages |
5001-5007 |
| Keywords |
*Agriculture; Animal Population Groups/*psychology; *Animal Welfare; Animals; *Behavior, Animal; *Cognition; Heat; Helplessness, Learned; Housing, Animal/standards; Immobilization; Nesting Behavior; Pain/psychology/veterinary |
| Abstract |
To describe and then fulfill agricultural animals' needs, we must learn more about their fundamental psychological and behavioral processes. How does this animal feel? Is that animal suffering? Will we ever be able to know these things? Scientists specializing in animal cognition say that there are numerous problems but that they can be overcome. Recognition by scientists of the notion of animal awareness has been increasing in recent years, because of the work of Griffin and others. Feeling, thinking, remembering, and imagining are cognitive processes that are factors in the economic and humane production of agricultural animals. It has been observed that the animal welfare debate depends on two controversial questions: Do animals have subjective feelings? If they do, can we find indicators that reveal them? Here, indirect behavioral analysis approaches must be taken. Moreover, the linear additivity of several stressor effects on a variety of animal traits suggests that some single phenomenon is acting as a “clearinghouse” for many or all of the stresses acting on an animal at any given time, and this phenomenon might be psychological stress. Specific situations animals may encounter in agricultural production settings are discussed with respect to the animals' subjective feelings. |
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University of Illinois, Urbana 61801 |
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0021-8812 |
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PMID:1808193 |
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Equine Behaviour @ team @ |
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2754 |
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| Author |
Provenza, F.D. |
| Title |
Acquired aversions as the basis for varied diets of ruminants foraging on rangelands |
Type |
Journal Article |
| Year |
1996 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
74 |
Issue |
8 |
Pages |
2010-2020 |
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Equine Behaviour @ team @ |
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2946 |
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| Author |
Apple, J.K.; Kegley, E.B.; Galloway, D.L.; Wistuba, T.J.; Rakes, L.K.; Yancey, J.W.S. |
| Title |
Treadmill exercise is not an effective methodology for producing the dark-cutting condition in young cattle |
Type |
Journal Article |
| Year |
2006 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
84 |
Issue |
11 |
Pages |
3079-3088 |
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| Abstract |
Holstein steer calves (n = 25) were used to evaluate the effects of treadmill exercise (TME) on blood metabolite status and formation of dark-cutting beef. Calves were blocked by BW (156 {+/-} 33.2 kg) and assigned randomly within blocks to 1 of 5 TME treatments arranged in a 2 x 2 factorial design (4 or 8 km/h for a duration of 10 or 15 min) with a nonexercised control. Venous blood was collected via indwelling jugular catheters at 10, 2, and 0 min before TME and at 2-min intervals during exercise. Nonexercised steers were placed on the treadmill but stood still for 15 min. Serum cortisol levels, as well as plasma concentrations of glucose, lactate, and NEFA, were similar (P > 0.05) before TME. Serum cortisol concentrations were unaffected (P > 0.05) during the first 6 min of TME, but between 8 and 15 min of TME, cortisol concentrations were greater (P < 0.05) in steers exercised at 8 km/h than those exercised at 4 km/h or controls (speed x time, P < 0.001). Although TME did not affect (P > 0.05) plasma glucose levels, plasma lactate concentrations in steers exercised at 8 km/h increased (P < 0.05) sharply with the onset of the TME treatment and remained elevated compared with steers exercised at 4 km/h or unexercised controls (speed x time, P < 0.001). Exercised steers had the lowest (P < 0.05) plasma NEFA concentrations during the first 6 min of TME compared with unexercised steers; however, NEFA concentrations were similar after 10 and 12 min of TME, and by the end of TME, steers exercised at 8 km/h had greater (P < 0.05) NEFA levels than nonexercised controls or steers exercised at 4 km/h (speed x time, P < 0.001). Even though muscle glycogen levels and pH decreased (P < 0.001) and muscle lactate concentrations increased (P < 0.001) with increasing time postmortem, neither treadmill speed nor TME duration altered postmortem LM metabolism. Consequently, there were no (P > 0.05) differences in the color, water-holding capacity, shear force, or incidences of dark-cutting carcasses associated with preslaughter TME. It is apparent that preslaughter TME, at the speeds and durations employed in this study, failed to alter antemortem or postmortem muscle metabolism and would not be a suitable animal model for studying the formation of the dark-cutting condition in ruminants. |
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| Notes |
10.2527/jas.2006-137 |
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Equine Behaviour @ team @ |
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2947 |
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| Author |
Lanier, J.L.; Grandin, T.; Green, R.D.; Avery, D.; McGee, K. |
| Title |
The relationship between reaction to sudden, intermittent movements and sounds and temperament |
Type |
Journal Article |
| Year |
2000 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
78 |
Issue |
6 |
Pages |
1467-1474 |
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Equine Behaviour @ team @ |
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2945 |
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Mennecke, B.E.; Townsend, A.M.; Hayes, D.J.; Lonergan, S.M. |
| Title |
A study of the factors that influence consumer attitudes toward beef products using the conjoint market analysis tool |
Type |
Journal Article |
| Year |
2007 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
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jas.2006-495- |
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This study utilizes an analysis technique commonly used in marketing, the conjoint method, to examine the relative utilities of a set of beef steak characteristics considered by a national sample of 1,432 US consumers, as well as additional localized samples representing undergraduate students at a business college and in an animal science department. The analyses indicate that among all respondents, region of origin is by far the most important characteristic; this is followed by animal breed, traceability, animal feed, and beef quality. Alternatively, the cost of cut, farm ownership, the use (or non-use) of growth promoters, and whether the product is guaranteed tender were the least important factors. Results for animal science undergraduates are similar to the aggregate results except that these students emphasized beef quality at the expense of traceability and the non-use of growth promoters. Business students also emphasized region of origin but then emphasized traceability and cost. The ideal steak for the national sample is from a locally produced choice Angus, fed a mixture of grain and grass that is traceable to the farm or origin. If the product was not produced locally respondents indicated that their preferred production states are, in order from most to least preferred, Iowa, Texas, Nebraska and Kansas. |
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10.2527/jas.2006-495 |
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Equine Behaviour @ team @ |
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2944 |
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Bracke, M.B.M.; Spruijt, B.M.; Metz, J.H.M.; Schouten, W.G.P. |
| Title |
Decision support system for overall welfare assessment in pregnant sows A: Model structure and weighting procedure |
Type |
Journal Article |
| Year |
2002 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
80 |
Issue |
7 |
Pages |
1819-1834 |
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The problem of how to objectively assess the overall welfare status of animals under farming conditions has contributed to an ongoing debate that has hampered actual decision making on animal welfare. For this reason we constructed a model based on the assumed hierarchical organization of the animals' needs for overall welfare assessment in the case of pregnant sows. This model is implemented in a computer-based decision support system that takes a description of a housing and management system as input and produces a welfare score as output. A formalized procedure was used to construct the model for welfare assessment in pregnant sows on the basis of available scientific knowledge. This SOWEL (from SOw WELfare) model contains 37 attributes that describe the welfare-relevant properties of housing and management systems. In the decision support system these attributes are linked to scientific statements and a list of needs to provide a scientific basis for welfare assessment. Weighting factors that represent the relative importance of the attributes are derived from the scientific statements about the various welfare performance criteria that have been measured by scientists. The welfare score is calculated as the weighted average score. All information in the decision support system is stored in tables in a relational database such that newly available knowledge and insights can be incorporated to refine the model. The model has been developed in line with several existing models but it differs from these models in that it is the first to provide a formalized procedure to explicate the reasoning steps involved in welfare assessment based on available scientific knowledge. N1 - |
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Equine Behaviour @ team @ |
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2943 |
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Hoover, T.S.; Marshall, T.T. |
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A comparison of learning styles and demographic characteristics of students enrolled in selected animal science courses |
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Journal Article |
| Year |
1998 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
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76 |
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12 |
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3169-3173 |
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Equine Behaviour @ team @ |
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2939 |
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Kendrick, K.M. |
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How the sheep's brain controls the visual recognition of animals and humans |
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Journal Article |
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1991 |
Publication |
Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
| Volume |
69 |
Issue |
12 |
Pages |
5008-5016 |
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Equine Behaviour @ team @ |
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2940 |
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Honeyman, M.S.; Miller, G.S. |
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The effect of teaching approaches on achievement and satisfaction of field-dependent and field-independent learners in animal science |
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1998 |
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Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
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76 |
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6 |
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1710-1715 |
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Equine Behaviour @ team @ |
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2941 |
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