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Indicators to assess goat welfare on-farm in the semiarid region of Brazilian Northeast Ciência Rural
Leite,Luana Oliveira; Stamm,Fabiana de Orte; Garcia,Rita de Cassia Maria.
ABSTRACT: In 2015, AWIN Goat Protocol was published in Europe, with indicators that identify welfare level of lactating dairy goats; however, there are no welfare protocols for meat goat. Therefore, the objective of this study was to select animal and resource-based indicators to assess welfare in meat goat in different types of grazing systems in Brazilian semiarid Northeast. Eighteen indicators were selected to evaluate the welfare of meat goat. The knowledge of the welfare degree of these animals is the best way to make improvements and promote a better quality of life to meat goat.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Animal welfare; Animal-based measures; Quality of life; Parameter; Protocol.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000900652
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Demographic characteristics of owned dogs and cats of Votorantim, São Paulo State, Brazil Ciência Rural
Baquero,Oswaldo Santos; Chiozzotto,Evelyn Nestori; Garcia,Rita de Cassia Maria; Amaku,Marcos; Ferreira,Fernando.
A two-stage cluster sample design was used to estimate population parameters of dogs and cats of the urban area of Votorantim, São Paulo State, Brazil, to support the planning and implementation of population management programs for companion animals. For dogs, the total and density estimates were 27,241 dogs (95% confidence interval [CI]=23,903-30,578) and 951 dogs km-2 (95% CI=835-1,068), respectively. For cats, these estimates were 5,579 cats (95% CI=3,595-7,562) and 195 cats km-2 (95% CI=126-264). Cost was the most prevalent reason for not sterilizing the animals (33%, 95% CI=23%-44%, Deff=6.1). The percentage of interviewees that expressed reasons for abandoning their animals was equal to 9 (95% CI=5-13, Deff=2.1). Other estimates were obtained,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Dogs; Cats; Population management; Demography; Sampling; Estimates.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015001102039
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