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Dairy farmers with larger herd sizes adopt more precision dairy technologies.
- Source :
-
Journal of dairy science [J Dairy Sci] 2018 Jun; Vol. 101 (6), pp. 5466-5473. Date of Electronic Publication: 2018 Mar 07. - Publication Year :
- 2018
-
Abstract
- An increase in the average herd size on Australian dairy farms has also increased the labor and animal management pressure on farmers, thus potentially encouraging the adoption of precision technologies for enhanced management control. A survey was undertaken in 2015 in Australia to identify the relationship between herd size, current precision technology adoption, and perception of the future of precision technologies. Additionally, differences between farmers and service providers in relation to perception of future precision technology adoption were also investigated. Responses from 199 dairy farmers, and 102 service providers, were collected between May and August 2015 via an anonymous Internet-based questionnaire. Of the 199 dairy farmer responses, 10.4% corresponded to farms that had fewer than 150 cows, 37.7% had 151 to 300 cows, 35.5% had 301 to 500 cows; 6.0% had 501 to 700 cows, and 10.4% had more than 701 cows. The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms. Only minor differences were detected in perception of the future of precision technologies between either herd size or farmers and service providers. In particular, service providers expected a higher adoption of automatic milking and walk over weighing systems than farmers. Currently, the adoption of precision technology has mostly been of the type that reduces labor needs; however, respondents indicated that by 2025 adoption of data capturing technology for monitoring farm system parameters would be increased.<br /> (Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1525-3198
- Volume :
- 101
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Journal of dairy science
- Publication Type :
- Academic Journal
- Accession number :
- 29525319
- Full Text :
- https://doi.org/10.3168/jds.2017-13324