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Author |
Provenza, F.D. |
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Title |
Acquired aversions as the basis for varied diets of ruminants foraging on rangelands |
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1996 |
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Journal of Animal Science |
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J. Anim Sci. |
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74 |
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8 |
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2010-2020 |
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Equine Behaviour @ team @ |
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2946 |
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Author |
Lanier, J.L.; Grandin, T.; Green, R.D.; Avery, D.; McGee, K. |
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The relationship between reaction to sudden, intermittent movements and sounds and temperament |
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Journal Article |
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Year |
2000 |
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Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
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78 |
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6 |
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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. |
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A study of the factors that influence consumer attitudes toward beef products using the conjoint market analysis tool |
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Journal Article |
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Year |
2007 |
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Journal of Animal Science |
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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. |
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Title |
Decision support system for overall welfare assessment in pregnant sows A: Model structure and weighting procedure |
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Journal Article |
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2002 |
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Journal of Animal Science |
Abbreviated Journal |
J. Anim Sci. |
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80 |
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7 |
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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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Author |
Minton, J.E. |
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Function of the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system in models of acute stress in domestic farm animals |
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1994 |
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Journal of Animal Science |
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J. Anim Sci. |
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72 |
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7 |
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1891-1898 |
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Equine Behaviour @ team @ |
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2942 |
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Author |
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 |
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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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Kendrick, K.M. |
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How the sheep's brain controls the visual recognition of animals and humans |
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1991 |
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Journal of Animal Science |
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J. Anim Sci. |
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69 |
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12 |
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5008-5016 |
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Equine Behaviour @ team @ |
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2940 |
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Author |
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 |
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1998 |
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Journal of Animal Science |
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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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Marshall, T.T.; Hoover, T.S.; Reiling, B.A.; Downs, K.M. |
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Experiential learning in the animal sciences: effect of 13 years of a beef cattle management practicum |
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1998 |
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Journal of Animal Science |
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J. Anim Sci. |
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76 |
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11 |
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2947-2952 |
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Equine Behaviour @ team @ |
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2938 |
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Author |
Swanson, J.C. |
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What are animal science departments doing to address contemporary issues? |
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1999 |
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Journal of Animal Science |
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J. Anim Sci. |
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77 |
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2 |
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354-360 |
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Equine Behaviour @ team @ |
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2937 |
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