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Public perceptions of potential adaptations for mitigating heat stress on Australian dairy farms
Borealis
Hendricks, Jillian; Mills, Katelyn; Sirovica, Lara; Sundermann, Louise; Bolton, Sarah; von Keyserlingk, M.A.G — 2022-04-06 This study investigated Australian public perceptions of heat stress mitigation strategies for dairy cattle, including perceptions of 1) cow welfare, 2) confidence in the dairy industry, and 3) trust in dairy farmers. Through an online survey, participants were presented with one of the following heat stress mitigation options: 1) indoor barn system, 2) indoor-outdoor choice system, 3) gene edition of cattle for resilience to heat stress, and 4) pasture system. Participants perceived cow welfare as lowest in the indoor system and highest in the choice and outdoor systems. Confidence in the industry was lower for the indoor system than in choice and pasture systems, and lower in the gene edition system compared to the choice system. Trust in farmers was similar across all treatments. Of value to participants was the ability of the farm system to provide cows access to pasture, accommodate their freedom of movement and choice, and align with their natural living environment.
UBC Dataverse Translation missing: fr.blacklight.search.logo
Social Acceptance of Genetic Engineering Technology
Borealis
Koralesky, Katherine; Sirovica, Lara; Hendricks, Jillian; Mills, Katelyn; von Keyserlingk, M.A.G; Weary, D.M — 2022-09-14 Genetic engineering of animals has been proposed to address societal problems, but public acceptance of the use of this technology is unclear. Previous work has shown that the source of information proposing the technology (e.g. companies, universities), the term used to describe the technology (e.g. genome editing, genetic modification), and the genetic engineering application (e.g. different food products) affects technology acceptance. We conducted three mixed-method surveys and used a causal trust-acceptability model to understand social acceptance of genetic engineering (GE) by investigating 1) the source of information proposing the technology, 2) the term used to describe the technology, and 3) the GE application for farm animals proposed. Quantitative analysis showed that the source of information and technology term had little to no effect on social acceptance. Further, participants expressed their understanding of technology using a range of terms interchangeably, all describing technology used to change an organism’s DNA. Applications involving animals were perceived as less beneficial than a plant application, and an application for increased cattle muscle growth was perceived as more risky than a plant application. We used structural equation modelling and confirmed model fit for each survey. In each survey, perceptions of benefit had the greatest effect on acceptance. Following our hypothesized model, social trust had an indirect influence on acceptance through similar effects of perceived benefit and risk. When assessing the acceptability of applications participants considered impacts on plants, animals, and people, trust in actors and technologies, and weighed benefits and drawbacks of GE. Future work should consider how to best measure acceptability of GE for animals, consider contextual factors and consider the use of inductive frameworks.

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(auteur : Mills, Katelyn)

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