Literature DB >> 22541453

Invited review: The impact of automatic milking systems on dairy cow management, behavior, health, and welfare.

J A Jacobs1, J M Siegford.   

Abstract

Over the last 100 yr, the dairy industry has incorporated technology to maximize yield and profit. Pressure to maximize efficiency and lower inputs has resulted in novel approaches to managing and milking dairy herds, including implementation of automatic milking systems (AMS) to reduce labor associated with milking. Although AMS have been used for almost 20 yr in Europe, they have only recently become more popular in North America. Automatic milking systems have the potential to increase milk production by up to 12%, decrease labor by as much as 18%, and simultaneously improve dairy cow welfare by allowing cows to choose when to be milked. However, producers using AMS may not fully realize these anticipated benefits for a variety of reasons. For example, producers may not see a reduction in labor because some cows do not milk voluntarily or because they have not fully or efficiently incorporated the AMS into their management routines. Following the introduction of AMS on the market in the 1990s, research has been conducted examining AMS systems versus conventional parlors focusing primarily on cow health, milk yield, and milk quality, as well as on some of the economic and social factors related to AMS adoption. Additionally, because AMS rely on cows milking themselves voluntarily, research has also been conducted on the behavior of cows in AMS facilities, with particular attention paid to cow traffic around AMS, cow use of AMS, and cows' motivation to enter the milking stall. However, the sometimes contradictory findings resulting from different studies on the same aspect of AMS suggest that differences in management and farm-level variables may be more important to AMS efficiency and milk production than features of the milking system itself. Furthermore, some of the recommendations that have been made regarding AMS facility design and management should be scientifically tested to demonstrate their validity, as not all may work as intended. As updated AMS designs, such as the automatic rotary milking parlor, continue to be introduced to the dairy industry, research must continue to be conducted on AMS to understand the causes and consequences of differences between milking systems as well as the impacts of the different facilities and management systems that surround them on dairy cow behavior, health, and welfare.
Copyright © 2012 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22541453     DOI: 10.3168/jds.2011-4943

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


  20 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

2.  A Preliminary Investigation of Social Network Analysis Applied to Dairy Cow Behavior in Automatic Milking System Environments.

Authors:  Liliana Fadul-Pacheco; Michael Liou; Douglas J Reinemann; Victor E Cabrera
Journal:  Animals (Basel)       Date:  2021-04-24       Impact factor: 2.752

3.  Monitoring cow comfort and rumen health indices in a cubicle-housed herd with an automatic milking system: a repeated measures approach.

Authors:  Arne Vanhoudt; Steven van Winden; John C Fishwick; Nicholas J Bell
Journal:  Ir Vet J       Date:  2015-06-12       Impact factor: 2.146

4.  Comparison of Working Conditions and Prevalence of Musculoskeletal Symptoms among Dairy Farmers in Southern Sweden over a 25-Year Period.

Authors:  Stefan Pinzke
Journal:  Front Public Health       Date:  2016-05-19

5.  The effect of lactation number, stage, length, and milking frequency on milk yield in Korean Holstein dairy cows using automatic milking system.

Authors:  Mayakrishnan Vijayakumar; Ji Hoo Park; Kwang Seok Ki; Dong Hyun Lim; Sang Bum Kim; Seong Min Park; Ha Yeon Jeong; Beom Young Park; Tae Il Kim
Journal:  Asian-Australas J Anim Sci       Date:  2017-03-25       Impact factor: 2.509

6.  Effects of photoperiod and light intensity on milk production and milk composition of dairy cows in automatic milking system.

Authors:  Dong-Hyun Lim; Tae-Il Kim; Sung-Min Park; Kwang-Seok Ki; Younghoon Kim
Journal:  J Anim Sci Technol       Date:  2021-05-31

7.  Release of β-endorphin, adrenocorticotropic hormone and cortisol in response to machine milking of dairy cows.

Authors:  E Fazio; P Medica; C Cravana; A Ferlazzo
Journal:  Vet World       Date:  2015-03-07

8.  Occupational Health and Safety of Finnish Dairy Farmers Using Automatic Milking Systems.

Authors:  Janne P Karttunen; Risto H Rautiainen; Christina Lunner-Kolstrup
Journal:  Front Public Health       Date:  2016-07-08

Review 9.  Systematic Review and Meta-Analysis: Identification of Factors Influencing Milking Frequency of Cows in Automatic Milking Systems Combined with Grazing.

Authors:  Françoise Lessire; Nassim Moula; Jean-Luc Hornick; Isabelle Dufrasne
Journal:  Animals (Basel)       Date:  2020-05-25       Impact factor: 2.752

10.  Effects of Climatic Conditions on the Lying Behavior of a Group of Primiparous Dairy Cows.

Authors:  Emanuela Tullo; Gabriele Mattachini; Elisabetta Riva; Alberto Finzi; Giorgio Provolo; Marcella Guarino
Journal:  Animals (Basel)       Date:  2019-10-26       Impact factor: 2.752

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