Abstract
Context Proven strategies to address lamb mortality include pregnancy scanning and the differential management of single- and twin-bearing ewes. However, current adoption rates of this best-practice management by Australian producers remain low at ~20%. Aims We explored producer perceptions about lamb mortality and the adoption of pregnancy scanning, and analysed whether producer characteristics, demographics, beliefs or management practices have an influence on perceptions towards pregnancy scanning or lamb survival. Methods Data were collected through an on-line self-administered survey of lamb producers in New South Wales, Australia. Descriptive and inferential statistics were used to summarise the data and test for interdependence of variables. Key results The survey results revealed that New South Wales sheep producers have low participation rates in extension programs and low engagement in record-keeping practices. Only 4% of respondents considered current lamb mortality rates acceptable and the majority agreed that lamb mortality poses a threat to Australia’s sheep industry. Findings identified numerous significant relationships between producer characteristics, demographics, beliefs, management practices, non-participation in extension programs, and perceptions towards pregnancy scanning, lamb mortality and sheep welfare. Survey participants were more likely to have adopted pregnancy scanning if they had participated in extension programs. Conclusions Further extension efforts should be focused on producers who have not adopted any record-keeping practices or previously participated in extension programs. Extension should be tailored to different enterprises, owing to the influence of enterprise focus on beliefs, while also considering producer demographics. Implications A strong case exists for continued investment in future marketing, education, and research, development and extension to increase the capacity of Australia’s sheep industry and, in particular, to increase the adoption of pregnancy scanning.
Subject
Animal Science and Zoology,Food Science
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