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Tumova, B. (1980). Equine influenza--a segment in influenza virus ecology. Comp Immunol Microbiol Infect Dis, 3(1-2), 45–59.
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Crans, W. J., McNelly, J., Schulze, T. L., & Main, A. (1986). Isolation of eastern equine encephalitis virus from Aedes sollicitans during an epizootic in southern New Jersey. J Am Mosq Control Assoc, 2(1), 68–72.
Abstract: Eastern equine encephalitis virus (EEE) was isolated from the salt marsh mosquito, Aedes sollicitans, collected from coastal areas of New Jersey on 3 occasions during the late summer and fall of 1982. The isolations were made at a time when local Culiseta melanura were either undergoing a population increase or exhibiting high levels of EEE virus. Although no human cases were reported during the epizootic period, the data lend support to the hypothesis that Ae. sollicitans is capable of functioning as an epidemic vector in the coastal areas of New Jersey where human cases of EEE have been most common.
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Houpt, K. A. (1981). Equine behavior problems in relation to humane management. Int. J. Stud. Anim. Prob., 2(6), 329–337.
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Mitchell, C. J., Darsie, R. F. J., Monath, T. P., Sabattini, M. S., & Daffner, J. (1985). The use of an animal-baited net trap for collecting mosquitoes during western equine encephalitis investigations in Argentina. J Am Mosq Control Assoc, 1(1), 43–47.
Abstract: A large net trap was used to sample mosquito populations attracted to horses at three sites each in Santa Fe and Rio Negro Provinces, Argentina, during the austral summer of 1984. These provinces, as well as others in Argentina, were affected by a severe epizootic of western equine encephalitis (WEE) during 1982-83. Totals of 2,752 and 6,929 mosquitoes were collected in Santa Fe and Rio Negro Provinces during five and three trap nights, respectively. Culex mosquitoes of the subgenus Culex were predominant (45.8% of total) in the Santa Fe collections, although Aedes albifasciatus also was prevalent (21.7%). The latter species was predominant (95.7% of total) in the Rio Negro collections. The mosquito fauna was less complex (minimum of 6 species) in Rio Negro Province as compared to Santa Fe Province (minimum of 18 species). The advantages of the net trap indicate that this trap can become a useful tool in arbovirus ecology studies in other areas.
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Nicol, C. J. (2000). Equine Stereotypies. In: Houpt K.A. (Ed.),. In Recent Advances in Companion Animal Behavior Problems. International Veterinary Information Service.
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King Jm, K. H. (1965). The use of the oripavine derivative M.99 for the restraint of equine animals and its antgonism with the related compund M.
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Marsh Oc,. Notice of new equine mammals from the tertiary formation.247–258.
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DUNN, L. J. (1999). PRELIMINARY INVESTIGATION OF EQUINE LEARNING AND MEMORY.
Abstract: ABSTRACT
Six horses demonstrated observation and discrimination learning and memory ability. The purpose of this study was to gain further knowledge in the area of equine learning. Performance on each task was compared in a single subject design. Subjects learned to discriminate between a black and a white bucket. The criterion for learning was set at 80% correct black bucket choice. All subjects successfully performed the discrimination task by the eighth session. Observation learning was unsuccessful; no subject reached the 80% correct criterion. Five horses were tested for memory retention of the discrimination task three weeks after the initial learning. All subjects performed the discrimination by the second session of two. These data support existing results from similar learning and memory tasks.
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unknown. EQUINE SOCIAL INTELLIGENCE.
Abstract: INTRODUCTION to the social intelligence tests
This document contains the result of adjusting 12 tests written for dogs to the sensory modes and size
of horses. Stanley Coren calls the tests “Canine IQ Tests,” but also says the tests are probably
measurements of “social intelligence.” Coren's book also contains the list of dog breeds ranked by
score on these tests. The technical, psychological definition of “intelligence” is not relevant to these
tests (the usual academic caveats about data and variables). Also, an animal that is very clever and is
not interested in interacting with humans will score low on these tests, so if your horse is a low scorer,
it may mean that people just are not interesting for him.
I am posting the tests because 1) my riding club thought they were fun when I showed them the video
record of the testing protocol and 2) the several horses tested thought they were fun. Of these horses,
my two (a German sport horse and a Morgan) became more alert in responding to their human
companion (me) after the tests were run....
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Barrey, E., & Galloux, P. (1997). Analysis of the equine jumping technique by accelerometry. Equine Vet J Suppl, (23), 45–49.
Abstract: The purpose of this study was to demonstrate the relationships between jumping technique and dorsoventral acceleration measured at the sternum. Eight saddle horses of various jumping abilities competed on a selective experimental show jumping course including 14 obstacles. An accelerometric belt fastened onto the thorax continuously measured the dorsoventral acceleration during the course. At each jump, 11 locomotor parameters (acceleration peaks, durations and stride frequency) were obtained from the dorsoventral acceleration-time curves. The type of obstacle significantly influenced the hindlimb acceleration peak at take-off and the landing acceleration peak (P<0.01). The poor jumpers exhibited a higher mean forelimb acceleration peak at take-off, a higher forelimb/hindlimb ratio between peaks of acceleration (F/H), and a lower approach stride frequency than good jumpers. Knocking over an obstacle was significantly associated with a low hindlimb acceleration peak at take-off and a high F/H ratio (P<0.01). In order to observe the continuous changes in the frequency domain of the dorsoventral acceleration during the approach and take-off phase, a Morlet's wavelet analysis was computed for each horse jumping over a series of 3 vertical obstacles. Different patterns of time-frequency images obtained by wavelet analysis were found when the horse either knocked over a vertical obstacle or cleared it. In the latter case, the image pattern showed an instantaneous increase in stride frequency at the end of the approach phase, and a marked energy content in the middle frequency range at take-off.
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