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Factors associated with increased milk production for automatic milking systems

Marlène Tremblay, Justin P. Hess, Brock M. Christenson, Kolby K. McIntyre, Ben Smink, Arjen J. van der Kamp, Lisanne G. de Jong, Dörte Döpfer

Year
2016
Citations
74
Access
Open access

Abstract

Automatic milking systems (AMS) are increasingly popular throughout the world. Our objective was to analyze 635 North American dairy farms with AMS for (risk) factors associated with increased milk production per cow per day and milk production per robot per day. We used multivariable generalized mixed linear regressions, which identified several significant risk factors and interactions of risk factors associated with milk production. Free traffic was associated with increased production per cow and per robot per day compared with forced systems, and the presence of a single robot per pen was associated with decreased production per robot per day compared with pens using 2 robots. Retrofitted farms had significantly less production in the first 4 yr since installation compared with production after 4 yr of installation. In contrast, newly built farms did not see a significant change in production over time since installation. Overall, retrofitted farms did not produce significantly more or less milk than newly constructed farms. Detailed knowledge of factors associated with increased production of AMS will help guide future recommendations to producers looking to transition to an AMS and maximize their production.

Keywords

MilkingProduction (economics)Automatic milkingMilk productionProduction system (computer science)Agricultural scienceAnimal scienceBusinessEnvironmental scienceBiology

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