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McGreevy, P.D. |
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2004 |
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Equine Behavior: A Guide for Veterinarians and Equine Scientists |
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Cited By (since 1996): 25; Export Date: 21 October 2008 |
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Equine Behaviour @ team @ |
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4530 |
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McLean, A.N. |
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The mental processes of the horse and their consequences for training |
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2004 |
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Animal Welfare Science Centre |
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Cited By (since 1996): 1; Export Date: 24 October 2008 |
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Admin @ knut @ |
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4619 |
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Staniar, W.B.; Kronfeld, D.S.; Hoffman, R.M.; Wilson, J.A.; Harris, P.A. |
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Weight prediction from linear measures of growing Thoroughbreds |
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Journal Article |
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2004 |
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Equine veterinary journal |
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Equine Vet J |
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36 |
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2 |
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149-154 |
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Animal Nutrition Physiology; Animals; Biometry; Body Weight/*physiology; Female; Horses/*anatomy & histology/*growth & development; Male; Mathematics; Predictive Value of Tests; Reproducibility of Results; Sensitivity and Specificity |
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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. |
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Department of Animal and Poultry Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0306, USA |
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0425-1644 |
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PMID:15038438 |
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1806 |
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Millspaugh, J.J.; Brundige, G.C.; Gitzen, R.A.; Raedeke, K.J. |
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Herd organization of cow elk in Custer State Park, South Dakota |
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Journal Article |
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2004 |
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Wildlife Society Bulletin |
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Wildl Soc Bull |
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32 |
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2 |
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506-514 |
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Cervus elaphus nelsoni, home range, kernel, Rocky Mountain Elk, social organization, subherd, utilization distribution, volume of intersection |
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nderstanding herd organization is important when considering management alternatives designed to benefit or manipulate elk (Cervus elaphus) populations. We studied the seasonal and annual herd organization of cow elk in Custer State Park, South Dakota from 1993-1997 by examining seasonal subherd range size, spatial arrangement, overlap, and site fidelity. Based on social interaction analyses, we combined locations of radiocol-lared cow elk to delineate subherds. We computed 95% kernel home ranges with least-squares cross validation for each subherd by season and year. Subherd overlap and fidelity by season and year were computed using the Volume of Intersection Index (VI) statistic. We identified 5 relatively discrete, resident cow-calf subherds. We observed little overlap in utilization distributions of adjacent subherds. The mean VI score across all subherds and time points (n=140) was 0.06 (SE=0.009), indicating an average 6% overlap in subherd area utilization. Subherd overlap between pairs was 0.08 in fall (SE= 0.021), 0.06 in winter (SE=0.018), 0.06 in spring (SE=0.2), and 0.05 in summer (SE= 0.016). Range sizes were not different between any pairs of seasons or years (F13,52=0.7, P=0.75). Subherd fidelity ranged from 0.41 (SE=0.033) to 0.60 (SE=0.018) overall, indicating differential use within the subherd boundary across years. The ability to distinguish discrete cow-calf subherd units is consistent with other studies and may aid elk management in Custer State Park. However, use patterns within subherd boundaries were inconsistent across years and may reflect human disturbances (e.g., hunting and logging activities), differences in our sampling approach, or changes in matriarchal leadership. Further evaluation into factors affecting space-use patterns is necessary to predict changes in range use within the subherd boundary. |
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2065 |
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Passani M. B.; Blandina P. |
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The Neuronal Histaminergic System in Cognition |
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2004 |
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Current Medicinal Chemistry – Central Nervous System Agents |
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4 |
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17-26 |
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3520 |
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Lazareva, O.F.; Smirnova, A.A.; Bagozkaja, M.S.; Zorina, Z.A.; Rayevsky, V.V.; Wasserman, E.A. |
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Transitive responding in hooded crows requires linearly ordered stimuli |
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Journal Article |
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2004 |
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Journal of the experimental analysis of behavior |
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J Exp Anal Behav |
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82 |
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1 |
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1-19 |
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Animals; *Association; Cognition/physiology; Crows; Discrimination (Psychology); *Discrimination Learning; Feedback; Reinforcement (Psychology); Visual Perception/physiology |
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Eight crows were taught to discriminate overlapping pairs of visual stimuli (A+ B-, B+ C-, C+ D-, and D+ E-). For 4 birds, the stimuli were colored cards with a circle of the same color on the reverse side whose diameter decreased from A to E (ordered feedback group). These circles were made available for comparison to potentially help the crows order the stimuli along a physical dimension. For the other 4 birds, the circles corresponding to the colored cards had the same diameter (constant feedback group). In later testing, a novel choice pair (BD) was presented. Reinforcement history involving stimuli B and D was controlled so that the reinforcement/nonreinforcement ratios for the latter would be greater than for the former. If, during the BD test, the crows chose between stimuli according to these reinforcement/nonreinforcement ratios, then they should prefer D; if they chose according to the diameter of the feedback stimuli, then they should prefer B. In the ordered feedback group, the crows strongly preferred B over D; in the constant feedback group, the crows' choice did not differ significantly from chance. These results, plus simulations using associative models, suggest that the orderability of the postchoice feedback stimuli is important for crows' transitive responding. |
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Institute of Higher Nervous Activity, Moscow State University. olga-lazareva@uiowa.edu |
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0022-5002 |
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PMID:15484868 |
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refbase @ user @ |
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612 |
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de Waal, F.B.M. |
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Peace lessons from an unlikely source |
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2004 |
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PLoS biology |
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PLoS. Biol. |
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2 |
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4 |
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E101 |
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Animals; Behavior; Behavior, Animal; Culture; Humans; Interpersonal Relations; Research; Social Conditions; Social Environment; United States; *Violence |
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Yerkes National Primate Research Center, Emory University, Atlanta, Georgia, USA. dewaal@emory.edu |
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PMID:15094805 |
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refbase @ user @ |
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174 |
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Brandt, K. |
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A Language of Their Own: An Interactionist Approach to Human-Horse Communication |
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2004 |
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Society and Animals |
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12 |
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4 |
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299-316 |
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This paper explores the process of human-horse communication using ethnographic data of in-depth interviews and participant observation. Guided by symbolic interactionism, the paper argues that humans and horses co-create a language system by way of the body to facilitate the creation of shared meaning. This research challenges the privileged status of verbal language and suggests that non-verbal communication and language systems of the body have their own unique complexities. This investigation of humanhorse communication offers new possibilities to understand the subjective and intersubjective world of non-verbal language using beings-human and nonhuman alike. |
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Equine Behaviour @ team @ |
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4386 |
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Lefebvre, L.; Reader, S.M.; Sol, D. |
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Brains, Innovations and Evolution in Birds and Primates |
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2004 |
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Brain, Behavior and Evolution |
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Brain. Behav. Evol. |
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63 |
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4 |
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233-246 |
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Innovation W Brain evolution W Hyperstriatum ventrale W Neostriatum W Isocortex W Birds W Primates W Tool use W Invasion biology |
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Abstract
Several comparative research programs have focusedon the cognitive, life history and ecological traits thataccount for variation in brain size. We review one ofthese programs, a program that uses the reported frequencyof behavioral innovation as an operational measureof cognition. In both birds and primates, innovationrate is positively correlated with the relative size of associationareas in the brain, the hyperstriatum ventrale andneostriatum in birds and the isocortex and striatum inprimates. Innovation rate is also positively correlatedwith the taxonomic distribution of tool use, as well asinterspecific differences in learning. Some features ofcognition have thus evolved in a remarkably similar wayin primates and at least six phyletically-independent avianlineages. In birds, innovation rate is associated withthe ability of species to deal with seasonal changes in theenvironment and to establish themselves in new regions,and it also appears to be related to the rate atwhich lineages diversify. Innovation rate provides a usefultool to quantify inter-taxon differences in cognitionand to test classic hypotheses regarding the evolution ofthe brain. |
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0006-8977 |
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Equine Behaviour @ team @ |
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4738 |
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Milo, R.; Itzkovitz, S.; Kashtan, N.; Levitt, R.; Alon, U. |
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Response to Comment on “Network Motifs: Simple Building Blocks of Complex Networks” and “Superfamilies of Evolved and Designed Networks” |
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2004 |
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Science |
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Science |
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305 |
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5687 |
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1107d |
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10.1126/science.1100519 |
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Equine Behaviour @ team @ |
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