کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5541693 1553846 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Short communication: Cow- and quarter-level milking indicators and their associations with clinical mastitis in an automatic milking system
ترجمه فارسی عنوان
ارتباطات کوتاه: شاخص های شیردوشی گاو و سه ماهه و ارتباط آنها با ماستیت بالینی در یک سیستم شیردهی اتوماتیک
کلمات کلیدی
ماستیت بالینی، فاصله شیردوشی، حداکثر سرعت جریان شیر،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم دامی و جانورشناسی
چکیده انگلیسی
The aim of this study was to assess associations of cow-, udder-, and quarter-level factors with the risk of clinical mastitis (CM) in cows managed using an automatic milking system. The primary hypothesis was that quarter peak milk flow rate (QPMF) is associated with increased risk of CM. A retrospective, case-control study was undertaken using data from a 1,549 cow farm using 20 automatic milking system units. All data from cows milked during March to December 2015 was available for analysis. Cases (n = 82) were defined as cows diagnosed with their first case of CM between 24 and 300 d in milk in the current lactation. Healthy control cows (n = 6/case) were randomly matched based on identical parity, existence of milk records during the day in milk period corresponding to the 15-d window before case diagnosis, average conductivity of <5.5 mS/cm in that window, and no history of CM in the current lactation. Logistic regression was used to estimate effects of parity, quarter position, day in milk at diagnosis of CM, average of QPMF 15 d before CM diagnosis, udder milk yield, and milking interval on the probability of CM. Of the 6 predictor variables included in the model, only milking interval was significantly associated with the increased risk of quarter CM. We concluded that in a high-production, freestall-housed North American herd using automatic milking system, milking interval, but not QPMF, was associated with risk of CM.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Dairy Science - Volume 100, Issue 11, November 2017, Pages 9267-9272
نویسندگان
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