Literature DB >> 29615142

Impact of automatic milking systems on dairy cattle producers' reports of milking labour management, milk production and milk quality.

C Tse1, H W Barkema1, T J DeVries2, J Rushen3, E A Pajor1.   

Abstract

Automatic milking systems (AMS), or milking robots, are becoming widely accepted as a milking technology that reduces labour and increases milk yield. However, reported amount of labour saved, changes in milk yield, and milk quality when transitioning to AMS vary widely. The purpose of this study was to document the impact of adopting AMS on farms with regards to reported changes in milking labour management, milk production, milk quality, and participation in dairy herd improvement (DHI) programmes. A survey was conducted across Canada over the phone, online, and in-person. In total, 530 AMS farms were contacted between May 2014 and the end of June 2015. A total of 217 AMS producers participated in the General Survey (Part 1), resulting in a 41% response rate, and 69 of the respondents completed the more detailed follow-up questions (Part 2). On average, after adopting AMS, the number of employees (full- and part-time non-family labour combined) decreased from 2.5 to 2.0, whereas time devoted to milking-related activities decreased by 62% (from 5.2 to 2.0 h/day). Median milking frequency was 3.0 milkings/day and robots were occupied on average 77% of the day. Producers went to fetch cows a median of 2 times/day, with a median of 3 fetch cows or 4% of the herd per robot/day. Farms had a median of 2.5 failed or incomplete milkings/robot per day. Producers reported an increase in milk yield, but little effect on milk quality. Mean milk yield on AMS farms was 32.6 kg/cow day. Median bulk tank somatic cell count was 180 000 cells/ml. Median milk fat on AMS farms was 4.0% and median milk protein was 3.3%. At the time of the survey, 67% of producers were current participants of a DHI programme. Half of the producers who were not DHI participants had stopped participation after adopting AMS. Overall, this study characterized impacts of adopting AMS and may be a useful guide for making this transition.

Entities:  

Keywords:  adoption; dairy herd improvement programme; precision dairying; robotic milking; transition

Mesh:

Substances:

Year:  2018        PMID: 29615142     DOI: 10.1017/S1751731118000654

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  7 in total

1.  Factors associated with the adoption of technologies by the Canadian dairy industry.

Authors:  Murray D Jelinski; David F Kelton; Chris Luby; Cheryl Waldner
Journal:  Can Vet J       Date:  2020-10       Impact factor: 1.008

Review 2.  Limiting factors for milk production in dairy cows: perspectives from physiology and nutrition.

Authors:  Josef J Gross
Journal:  J Anim Sci       Date:  2022-03-01       Impact factor: 3.159

3.  Forecasting Milking Efficiency of Dairy Cows Milked in an Automatic Milking System Using the Decision Tree Technique.

Authors:  Joanna Aerts; Magdalena Kolenda; Dariusz Piwczyński; Beata Sitkowska; Hasan Önder
Journal:  Animals (Basel)       Date:  2022-04-16       Impact factor: 2.752

4.  Effects of Melatonin on Dairy Herd Improvement (DHI) of Holstein Cow with High SCS.

Authors:  Hao Wu; Songyang Yao; Tiankun Wang; Jun Wang; Kang Ren; Hai Yang; Wenkui Ma; Pengyun Ji; Yongqiang Lu; Hui Ma; Changwang He; Wenjuan Wei; Lu Zhang; Guoshi Liu
Journal:  Molecules       Date:  2021-02-05       Impact factor: 4.411

Review 5.  Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents.

Authors:  Alessia Cogato; Marta Brščić; Hao Guo; Francesco Marinello; Andrea Pezzuolo
Journal:  Animals (Basel)       Date:  2021-01-31       Impact factor: 2.752

6.  Genetic Parameters Estimation of Milking Traits in Polish Holstein-Friesians Based on Automatic Milking System Data.

Authors:  Joanna Aerts; Dariusz Piwczyński; Heydar Ghiasi; Beata Sitkowska; Magdalena Kolenda; Hasan Önder
Journal:  Animals (Basel)       Date:  2021-06-29       Impact factor: 2.752

Review 7.  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
  7 in total

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