The development of a tool to assess cow quality of life based on system-level attributes across pastoral dairy farms

IF 4 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
S.J. Hendriks , K. Saunders , K. DeWitt , P. Timmer-Arends , J. Jago
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引用次数: 0

Abstract

Progress has been made in developing cow welfare assessment protocols that focus on the cow; however, system-level assessment has received less attention. This paper presents a process undertaken to develop a tool to identify opportunities and risks for cow quality of life at the system level across pastoral dairy farms and piloting the tool in New Zealand. The Farm System Welfare Assessment Tool incorporates elements from the Five Domains Model and is based on four domains (nutrition, health, physical environment, and behavioural interactions) and a fifth area ‘people’ with 21 system attributes captured under these areas that are assessed through on-farm visits. Overall, 222 farms were visited, and attributes were allocated a score based on the degree of risk posed to cow welfare at the system level. Results were summarised to provide an overall score for New Zealand dairy farm systems for each attribute within season. An attribute was defined as low risk when opportunities for neutral or positive experiences were provided, while negative experiences were minimised; moderate risk when some opportunities for neutral or positive experiences were provided, but negative experiences may still exist, and; high risk when opportunities for neutral or positive experiences were restricted and negative experiences exist. Overall, 85% of attributes (n = 66/78) across all seasons (19 attributes assessed across four seasons, plus one attribute which was only relevant in spring and one scored year-round) were classified as low risk, 10% were classified as moderate risk (n = 8/78) and 9% were classified as high risk (n = 7/78). From the 15 attributes that scored moderate or high risk, physical environment (40%; n = 6/15), people (27%; n = 4/15), and behavioural interactions (20%; n = 3/15) were the highest-risk areas followed by nutrition and health (both 7%; n = 1/15). Six attributes including health prevention, provision of quality feed, adequate space, good ventilation, natural lighting, and well-designed infrastructure were scored low risk across all seasons indicating neutral experiences are likely. Higher risk attributes with the potential to restrict opportunities for positive experiences included inadequate staffing, exploration and grooming during winter, and expression of maternal behaviour, while lower risk attributes with the possibility to provide opportunities for positive experiences included foraging, daily routine, and social contact. The tool was able to identify aspects of New Zealand farm systems that are likely to provide opportunities for neutral or positive experiences, where opportunities for positive experiences are restricted, and where negative experiences may occur. Future research could investigate the wider application of our approach within other dairy farm systems and countries.
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来源期刊
Animal
Animal 农林科学-奶制品与动物科学
CiteScore
7.50
自引率
2.80%
发文量
246
审稿时长
3 months
期刊介绍: Editorial board animal attracts the best research in animal biology and animal systems from across the spectrum of the agricultural, biomedical, and environmental sciences. It is the central element in an exciting collaboration between the British Society of Animal Science (BSAS), Institut National de la Recherche Agronomique (INRA) and the European Federation of Animal Science (EAAP) and represents a merging of three scientific journals: Animal Science; Animal Research; Reproduction, Nutrition, Development. animal publishes original cutting-edge research, ''hot'' topics and horizon-scanning reviews on animal-related aspects of the life sciences at the molecular, cellular, organ, whole animal and production system levels. The main subject areas include: breeding and genetics; nutrition; physiology and functional biology of systems; behaviour, health and welfare; farming systems, environmental impact and climate change; product quality, human health and well-being. Animal models and papers dealing with the integration of research between these topics and their impact on the environment and people are particularly welcome.
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