Analysis of factors relating to pet rabbits relinquished to two UK re-homing centres

Rabbits are a common companion animal in the UK and some reports suggest that large numbers are relinquished to re-homing centres each year. This study aimed to investigate the characteristics of rabbits relinquished to two UK re-homing centres and explore reasons given for relinquishment. The centres contributed data for all rabbits that entered their centre during 2013 (n=205). Most rabbits (59.5%) were relinquished by an owner. A similar number of males to females were relinquished and a larger number of rabbits were not neutered (72.4%) and adults (56%). Most rabbits were healthy on arrival (61.5%). The most common reasons for relinquishment were: too many rabbits / unplanned litters (30.3%) and housing problems (23.8%). Rabbit related reasons accounted for 12.2% of rabbits relinquished. Reasons for relinquishment were associated with one of the recorded rabbit characteristics. Further detailed studies are needed to explore the dynamics of pet rabbit ownership and factors that affect the breakdown of rabbit-owner relationships in the UK

Blastocoel collapse associated with melatonin in the culture media improves bovine embryo viability after vitrification.

Publicado em Animal Reproduction, v. 13, n. 3, p. 699, jul./set. 2016

Melatonin reduces apoptotic cells, SOD2 and HSPB1 and improves the in vitro production and quality of bovine blastocysts.

Made available in DSpace on 2018-05-24T00:51:21Z (GMT). No. of bitstreams: 1 Marquesetal2018ReproductioninDomesticAnimals.pdf: 863164 bytes, checksum: a92b3abd11502c3e0ec94a3c3d43075c (MD5) Previous issue date: 2018-05-23bitstream/item/177557/1/Marques-et-al-2018-Reproduction-in-Domestic-Animals.pd

Demography and disorders of German Shepherd Dogs under primary veterinarycare in the UK

The German Shepherd Dog (GSD) has been widely used for a variety of working roles. However, concerns for the health and welfare of the GSD have been widely aired and there is evidence that breed numbers are now in decline in the UK. Accurate demographic and disorder data could assist with breeding and clinical prioritisation. The VetCompassTM Programme collects clinical data on dogs under primary veterinary care in the UK. This study included all VetCompassTM dogs under veterinary care during 2013. Demographic, mortality and clinical diagnosis data on GSDs were extracted and reported

India and its diaspora: making sense of Hindu identity in South Africa.

Indian immigrants to South Africa in the late nineteenth century differed in terms of their origins, motivations, belief systems, customs, and practices from the indigenous African population as well as from the ruling white settler elite. It is within this context that this paper interrogates some of the ways in which several generations of (Indian) Hindus constructed and continue to (re)construct their religious identities in South Africa. Data for this study were achieved by administering face-to-face questionnaires to 66 individuals in the Metropolitan Area of Durban in KwaZulu-Natal, South Africa. The sample (selected through snowball sampling) comprised third to fifth generation Indians belonging to the four major language groups (Tamil, Telegu, Gujarati, and Hindi) residing in South Africa. Following the questionnaire responses, interviews were conducted with a selected number of respondents from the same sample. Quantitative data were analysed using SPSS while analysis of qualitative data followed a thematic model

Quick, accurate, smart: 3D computer vision technology helps assessing confined animals' behaviour

Mankind directly controls the environment and lifestyles of several domestic species for purposes ranging from production and research to conservation and companionship. These environments and lifestyles may not offer these animals the best quality of life. Behaviour is a direct reflection of how the animal is coping with its environment. Behavioural indicators are thus among the preferred parameters to assess welfare. However, behavioural recording (usually from video) can be very time consuming and the accuracy and reliability of the output rely on the experience and background of the observers. The outburst of new video technology and computer image processing gives the basis for promising solutions. In this pilot study, we present a new prototype software able to automatically infer the behaviour of dogs housed in kennels from 3D visual data and through structured machine learning frameworks. Depth information acquired through 3D features, body part detection and training are the key elements that allow the machine to recognise postures, trajectories inside the kennel and patterns of movement that can be later labelled at convenience. The main innovation of the software is its ability to automatically cluster frequently observed temporal patterns of movement without any pre-set ethogram. Conversely, when common patterns are defined through training, a deviation from normal behaviour in time or between individuals could be assessed. The software accuracy in correctly detecting the dogs' behaviour was checked through a validation process. An automatic behaviour recognition system, independent from human subjectivity, could add scientific knowledge on animals' quality of life in confinement as well as saving time and resources. This 3D framework was designed to be invariant to the dog's shape and size and could be extended to farm, laboratory and zoo quadrupeds in artificial housing. The computer vision technique applied to this software is innovative in non-human animal behaviour science. Further improvements and validation are needed, and future applications and limitations are discussed.</p