Literature DB >> 29525319

Dairy farmers with larger herd sizes adopt more precision dairy technologies.

J I Gargiulo1, C R Eastwood2, S C Garcia3, N A Lyons4.   

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.
Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  automation; precision dairy farming; survey; technology investment

Mesh:

Year:  2018        PMID: 29525319     DOI: 10.3168/jds.2017-13324

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  8 in total

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Authors:  Frank A M Tuyttens; Carla F M Molento; Said Benaissa
Journal:  Front Vet Sci       Date:  2022-05-27

3.  Effect of Minimum Milking Interval on Traffic and Milk Production of Cows Milked by a Pasture Based Automatic Milking System.

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Journal:  Animals (Basel)       Date:  2022-05-17       Impact factor: 3.231

4.  Digital technology adoption in livestock production with a special focus on ruminant farming.

Authors:  T Groher; K Heitkämper; C Umstätter
Journal:  Animal       Date:  2020-06-17       Impact factor: 3.240

Review 5.  Developing 'Smart' Dairy Farming Responsive to Farmers and Consumer-Citizens: A Review.

Authors:  Maeve Mary Henchion; Áine Regan; Marion Beecher; Áine MackenWalsh
Journal:  Animals (Basel)       Date:  2022-02-02       Impact factor: 2.752

6.  Assessment of feeding, ruminating and locomotion behaviors in dairy cows around calving - a retrospective clinical study to early detect spontaneous disease appearance.

Authors:  Mahmoud Fadul; Luigi D'Andrea; Maher Alsaaod; Giuliano Borriello; Antonio Di Lori; Dimitri Stucki; Paolo Ciaramella; Adrian Steiner; Jacopo Guccione
Journal:  PLoS One       Date:  2022-03-04       Impact factor: 3.240

7.  Adoption of Precision Technologies by Brazilian Dairy Farms: The Farmer's Perception.

Authors:  Rebeca Silvi; Luiz Gustavo R Pereira; Claudio Antônio V Paiva; Thierry R Tomich; Vanessa A Teixeira; João Paulo Sacramento; Rafael E P Ferreira; Sandra G Coelho; Fernanda S Machado; Mariana M Campos; João Ricardo R Dórea
Journal:  Animals (Basel)       Date:  2021-12-07       Impact factor: 2.752

Review 8.  Historical Evolution of Cattle Management and Herd Health of Dairy Farms in OECD Countries.

Authors:  Ivo Medeiros; Aitor Fernandez-Novo; Susana Astiz; João Simões
Journal:  Vet Sci       Date:  2022-03-09
  8 in total

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