Animal Welfare Program, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
J Dairy Sci. 2013 Jan;96(1):318-28. doi: 10.3168/jds.2012-5940. Epub 2012 Nov 8.
The objective was to investigate the association between herd-level management and facility design factors and the prevalence of lameness in high-producing dairy cows in freestall herds in the northeastern United States (NE; Vermont, New York, Pennsylvania) and California (CA). Housing and management measures such as pen space, stall design, bedding type, and milking routine were collected for the high-producing pen in 40 farms in NE and 39 farms in CA. All cows in the pen were gait scored using a 1-to-5 scale and classified as clinically lame (score ≥3) or severely lame (score ≥4). Measures associated with the (logit-transformed) proportion of clinically or severely lame cows at the univariable level were submitted to multivariable general linear models. In NE, lameness increased on farms that used sawdust bedding [odds ratio (OR)=1.71; 95% confidence interval (CI)=1.06-2.76] and decreased with herd size (OR=0.94; CI=0.90-0.97, for a 100-cow increase), use of deep bedding (OR=0.48; CI=0.29-0.79), and access to pasture (OR=0.52; CI=0.32-0.85). The multivariable model included herd size, access to pasture, and provision of deep bedding, and explained 50% of the variation in clinical lameness. Severe lameness increased with the percentage of stalls with fecal contamination (OR=1.15; CI=1.06-1.25, for a 10% increase) and with use of sawdust bedding (OR=2.13; CI=1.31-3.47), and decreased with use of deep bedding (OR=0.31; CI=0.19-0.50), sand bedding (OR=0.32; CI=0.19-0.53), herd size (OR=0.93; CI=-0.89-0.97, for a 100-cow increase), and rearing replacement heifers on site (OR=0.57; CI=0.32-0.99). The multivariable model included deep bedding and herd size, and explained 59% of the variation of severe lameness. In CA, clinical lameness increased with the percentage of stalls containing fecal contamination (OR=1.15; CI=1.05-1.26, for a 10% increase), and decreased with herd size (OR=0.96; CI=0.94-0.99, for a 100-cow increase), presence of rubber in the alley to the milking parlor (OR=0.46; CI=0.28-0.76), distance of the neck rail from the rear curb (OR=0.97; CI=0.95-0.99, for a 1-cm increase), water space per cow (OR=0.92; CI=0.85-0.99, for a 1-cm increase), and increased frequency of footbaths per week (OR=0.90; CI=081-0.99, for a 1-unit increase). The multivariable model included herd size, percentage of stalls containing fecal contamination, and presence of rubber in the alley to the milking parlor, and explained 44% of the variation of clinical lameness. Severe lameness increased with the percentage of stalls containing fecal contamination (OR=1.23; CI=1.06-1.42, for a 10% increase) and decreased with frequency of manure removal in the pen per day (OR=0.72; CI=0.53-0.97, for a 1-unit increase). The final model included both variables and explained 28% of the variation in severe lameness. In conclusion, changes in housing and management may help decrease the prevalence of lameness on dairy farms, but key risk factors vary across regions.
本研究旨在调查美国东北部(佛蒙特州、纽约州、宾夕法尼亚州)和加利福尼亚州(CA)高产奶牛自由散栏牛舍的畜群管理和设施设计因素与跛行流行率之间的关联。在 40 个 NE 农场和 39 个 CA 农场的高产牛舍中收集了畜栏空间、畜栏设计、卧床类型和挤奶常规等养殖和管理措施。使用 1 到 5 的等级对所有牛只进行步态评分,并将其分类为临床跛行(评分≥3)或严重跛行(评分≥4)。在单变量水平上与(对数转换后的)临床或严重跛行牛比例相关的措施被提交给多变量一般线性模型。在 NE,使用木屑垫料的农场跛行增加(比值比[OR]=1.71;95%置信区间[CI]=1.06-2.76),而畜群规模增加(OR=0.94;CI=0.90-0.97,每增加 100 头)、使用深垫料(OR=0.48;CI=0.29-0.79)和获得牧场(OR=0.52;CI=0.32-0.85)会降低跛行率。多变量模型包括畜群规模、牧场使用和深垫料供应,解释了临床跛行率 50%的变异性。严重跛行与粪便污染畜栏的比例(OR=1.15;CI=1.06-1.25,每增加 10%)和使用木屑垫料(OR=2.13;CI=1.31-3.47)呈正相关,与使用深垫料(OR=0.31;CI=0.19-0.50)、沙垫料(OR=0.32;CI=0.19-0.53)、畜群规模(OR=0.93;CI=0.89-0.97,每增加 100 头)和现场饲养后备奶牛(OR=0.57;CI=0.32-0.99)呈负相关。多变量模型包括深垫料和畜群规模,解释了严重跛行 59%的变异性。在 CA,临床跛行与粪便污染畜栏的比例(OR=1.15;CI=1.05-1.26,每增加 10%)呈正相关,与畜群规模(OR=0.96;CI=0.94-0.99,每增加 100 头)呈负相关,畜舍过道到挤奶厅有橡胶(OR=0.46;CI=0.28-0.76),颈轨距后挡板的距离(OR=0.97;CI=0.95-0.99,每增加 1 厘米),每头牛的水空间(OR=0.92;CI=0.85-0.99,每增加 1 厘米)和每周洗脚的频率(OR=0.90;CI=0.81-0.99,每增加 1 单位)呈负相关。多变量模型包括畜群规模、粪便污染畜栏的比例和畜舍过道到挤奶厅的橡胶,解释了临床跛行率 44%的变异性。严重跛行与粪便污染畜栏的比例(OR=1.23;CI=1.06-1.42,每增加 10%)呈正相关,与每天畜舍粪便清除频率(OR=0.72;CI=0.53-0.97,每增加 1 个单位)呈负相关。最终模型同时包含这两个变量,解释了严重跛行率 28%的变异性。总之,改变畜舍和管理方式可能有助于降低奶牛场跛行的流行率,但关键风险因素因地区而异。