2017
DOI: 10.1016/j.prevetmed.2017.08.020
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Culling from the herd's perspective—Exploring herd-level management factors and culling rates in Québec dairy herds

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Cited by 24 publications
(27 citation statements)
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“…In selected regions of the United States, the average culling rate was 31.6% in 1999 [3] but was 27.7% in Pennsylvanian herds in 2005 [21]. In Canada, Haine et al [22] reported an average culling rate of 32% over the 2001-2010 decade and a dairy sell rate by 60 days in milk of 3.2%. The average culling rate of cows due to slaughter/death was 25.4%, ranging between 23% (in 2007) to 28% (in 2010) in Dutch dairy herds [23].…”
Section: Culling Rates and Farmers' Stated Reasons For Cullingmentioning
confidence: 99%
“…In selected regions of the United States, the average culling rate was 31.6% in 1999 [3] but was 27.7% in Pennsylvanian herds in 2005 [21]. In Canada, Haine et al [22] reported an average culling rate of 32% over the 2001-2010 decade and a dairy sell rate by 60 days in milk of 3.2%. The average culling rate of cows due to slaughter/death was 25.4%, ranging between 23% (in 2007) to 28% (in 2010) in Dutch dairy herds [23].…”
Section: Culling Rates and Farmers' Stated Reasons For Cullingmentioning
confidence: 99%
“…Koketsu [30] reported that it is essential to make decisions on the basis of evidence from production records to control productivity. Demographic, reproduction, production, and health factors are determinants involved in the administration of a farm enterprise [25]. Epidemiological observational studies are suitable for analyzing the factors that hinder productivity or reproductive performance [36].…”
mentioning
confidence: 99%
“…Another example in salmonids is the attempt to set up a data integration platform described by Meyer et al [ 75 ]. The use of animal production commercial data for research can significantly increase access to quality data with excellent coverage in time and space of the populations of interest, as shown by studies included in this work such as analyses conducted in the Chile salmonid industry [ 76 , 77 ] and in the Canadian dairy industry [ 78 ]. The confidentiality level required for these datasets as well as barriers to data sharing related to competitiveness and anti-trust regulation aspects suggest that there could be a fundamental incompatibility between the principles of open-access data and the use of commercial data for research.…”
Section: Discussionmentioning
confidence: 99%