Cow-specific risk factors for retained placenta, metritis and clinical mastitis in Holstein cows
Cow-specific risk factors for retained placenta, metritis and clinical mastitis in Holstein cows
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DOI：
10.1007/s11259-011-9479-5
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发表时间：
2011-08-01
影响因子：
2.2
通讯作者：
Ardalan, Mehrnaz
中科院分区：
文献类型：
--
作者：
Hossein-Zadeh, Navid Ghavi;Ardalan, Mehrnaz
本研究的目的是评估2005年1月至2009年6月期间伊朗20个大型奶牛群的57，301头奶牛中奶牛特定风险因素与胎盘滞留（RP）、子宫炎（MET）和临床型乳房炎（CM）的泌乳期发病风险之间的关联。采用多变量logistic回归模型确定MET、RP和CM的危险因素，并量化其比值比（OR）。泌乳期MET、RP和CM的发生率分别为8%、5.2%和18.9%，MET的显著危险因素是难产（OR = 4.32），死产（OR = 6.26）、RP（OR = 27.74）、双胎（OR = 6.57）、双胎产次（OR = 1.68）、冬季产犊（OR = 2.45）和公犊（OR = 2.41）。发生RP的主要危险因素为难产（OR = 3.17）、死胎（OR = 3.18）、流产（OR = 8.46）、产奶热（OR = 3.66）、双胎（OR = 2.76）、多胎（OR = 2.69）、冬季产犊（OR = 1.86）和妊娠期短（OR = 3.82）。此外，RP（OR = 9.45）、产奶热（OR = 12.36）、多胎妊娠（OR = 2.83）、冬季产犊（OR = 1.68）和哺乳期前几个月产犊（P < 0.001）和上一次哺乳期SCC浓度（OR = 1.82）是CM的显著危险因素。目前的研究表明，根据奶牛因素的组合，可以在患MET、RP和CM的风险方面对奶牛进行区分。奶牛之间的这些差异可能有助于更好地检测奶牛群中的这些疾病。
The objective of this study was to evaluate the association between cow-specific risk factors and the lactational incidence risks of retained placenta (RP), metritis (MET) and clinical mastitis (CM) in 57,301 dairy cows on 20 large dairy herds in Iran between January 2005 and June 2009. A multivariable logistic regression model was used to identify risk factors for MET, RP and CM and quantify their odds ratio (OR). The lactational incidences of MET, RP and CM were 8%, 5.2% and 18.9%, respectively, and significant risk factors for MET were dystocia (OR = 4.32), stillbirth (OR = 6.26), RP (OR = 27.74), twin births (OR = 6.57), primiparity (OR = 1.68), calving during winter season (OR = 2.45) and male calves (OR = 2.41). Significant risk factors for RP were dystocia (OR = 3.17), stillbirth (OR = 3.18), abortion (OR = 8.46), milk fever (OR = 3.66), twin births (OR = 2.76), pluriparity (OR = 2.69), calving during winter season (OR = 1.86) and shorter gestation length of dairy cows (OR = 3.82). Also, significant risk factors for CM were RP (OR = 9.45), milk fever (OR = 12.36), pluriparity (OR = 2.83), calving during winter season (OR = 1.68) and the first months of lactation (P < 0.001)) and SCC concentrations at previous lactation (OR = 1.82). The current study indicates that differentiation can be made among cows in the risk of having MET, RP and CM based on a combination of cow factors. These differences among cows could be useful to aid the better detection of these diseases in the dairy herds.