Clinic for Ruminants with Ambulatory and Herd Health Services, Ludwig-Maximilians University Munich, 85764 Oberschleißheim, Germany.
Clinic for Ruminants and Swine, Faculty of Veterinary Medicine, Free University Berlin, 14163 Berlin, Germany.
J Dairy Sci. 2023 Dec;106(12):9287-9303. doi: 10.3168/jds.2022-23195. Epub 2023 Aug 23.
The aim of the present study was to evaluate the associations between milk recording data, body condition score (BCS), housing factors, management factors, and lameness in freestall-housed dairy cows in 3 structurally different regions in Germany. These regions substantially vary regarding herd size, breeds, access to pasture, farm management (family run or company owned), and percentage of organic farms. The data used was collected in a large cross-sectional study from 2016 to 2019. A total of 58,144 cows from 651 farms in 3 regions of Germany (North, East, and South) was scored for locomotion and body condition. Additionally, data on milk yield, milk composition, breed, age, as well as information on housing and management were retrieved. One mixed-logistic regression model was fitted per region to evaluate the association of the data with the target variable "lame" and to allow for a comprehensive reflection across different kinds of farming types. In all regions, undercondition (BCS lower than recommended for the lactation stage; North: odds ratio [OR] 2.15, CI 1.96-2.34; East: OR 2.66, CI 2.45-2.88; South: OR 2.45, CI 2.01-2.98) and mid-lactation stage (102-204 d in milk; North: OR 1.15, CI 1.05-1.27; East: OR 1.24, CI 1.17-1.32; South: OR 1.38, CI 1.18-1.62) were associated with higher odds for lameness, whereas overcondition (BCS higher than recommended for the lactation stage; North: OR 0.51, CI 0.44-0.60; East: OR 0.51, CI 0.48-0.54; South: OR 0.65, CI 0.54-0.77) and parity of 1 or 2 was associated with lower odds (parity 1 = North: OR 0.32, CI 0.29-0.35; East: OR 0.19, CI 0.18-0.20; South: OR 0.28, CI 0.24-0.33; parity 2 = North: OR 0.51, CI 0.47-0.46; East: OR 0.41, CI 0.39-0.44; South: OR 0.49, CI 0.42-0.57), irrespective of the regional production characteristics. Low energy-corrected milk yield was associated with higher odds for lameness in South and North (North: OR 1.16, CI 1.05-1.27; South: OR 1.43, CI 1.22-1.69). Further factors such as pasture access for cows (North: OR 0.64, CI 0.50-0.82; and South: OR 0.65, CI 0.47-0.88), milk protein content (high milk protein content = North: OR 1.34, CI 1.18-1.52; East: OR 1.17, CI 1.08-1.28; low milk protein content = North: OR 0.79, CI 0.71-0.88; East: OR 0.84, CI 0.79-0.90), and breed (lower odds for "other" [other breeds than German Simmental and German Holstein] in East [OR 0.47, CI 0.42-0.53] and lower odds both for German Holstein and "other" in South [German Holstein: OR 0.62, CI 0.43-0.90; other: OR 0.46, CI 0.34 - 0.62]) were associated with lameness in 2 regions, respectively. The risk of ketosis (higher odds in North: OR 1.11, CI 1.01-1.22) and somatic cell count (higher odds in East: increased (>39.9 cells × 1,000/mL): OR 1.10; CI 1.03-1.17; high (>198.5 cells × 1,000/mL): OR 1.08; CI 1.01-1.06) altered the odds for lameness in 1 region, respectively. Cows from organic farms had lower odds for lameness in all 3 regions (North: OR 0.18, CI 0.11-0.32; East: OR 0.39, CI 0.28-0.56; South: OR 0.45, CI 0.29-0.68). As the dairy production systems differed substantially between the different regions, the results of this study can be viewed as representative for a wide variety of loose-housed dairy systems in Europe and North America. The consistent association between low BCS and lameness in all regions aligns with the previous literature. Our study also suggests that risk factors for lameness can differ between geographically regions, potentially due to differences in which dairy production system is predominantly used and that region-specific characteristics should be taken into account in comparable future projects.
本研究的目的是评估牛奶记录数据、体况评分(BCS)、饲养因素、管理因素和跛行之间的关联,这些关联存在于德国 3 个结构不同的地区的栓系饲养奶牛中。这些地区在畜群规模、品种、牧场使用、农场管理(家庭经营或公司所有)和有机农场比例方面差异很大。本研究使用的数据是从 2016 年至 2019 年的一项大型横断面研究中收集的。德国 3 个地区(北部、东部和南部)的 651 个农场的 58144 头奶牛进行了运动和体况评分。此外,还获取了产奶量、牛奶成分、品种、年龄以及有关饲养和管理的信息。每个地区拟合了一个混合逻辑回归模型,以评估数据与目标变量“跛行”的关联,并允许对不同类型的养殖类型进行全面的反映。在所有地区,低体况(BCS 低于泌乳阶段的推荐值;北部:优势比[OR]2.15,置信区间[CI]1.96-2.34;东部:OR2.66,CI2.45-2.88;南部:OR2.45,CI2.01-2.98)和泌乳中期(102-204 天;北部:OR1.15,CI1.05-1.27;东部:OR1.24,CI1.17-1.32;南部:OR1.38,CI1.18-1.62)与跛行的可能性更高相关,而高体况(BCS 高于泌乳阶段的推荐值;北部:OR0.51,CI0.44-0.60;东部:OR0.51,CI0.48-0.54;南部:OR0.65,CI0.54-0.77)和产次为 1 或 2 与可能性较低相关(产次 1=北部:OR0.32,CI0.29-0.35;东部:OR0.19,CI0.18-0.20;南部:OR0.28,CI0.24-0.33;产次 2=北部:OR0.51,CI0.47-0.46;东部:OR0.41,CI0.39-0.44;南部:OR0.49,CI0.42-0.57),无论区域生产特征如何。低能量校正奶产量与南部和北部的跛行可能性更高相关(北部:OR1.16,CI1.05-1.27;南部:OR1.43,CI1.22-1.69)。其他因素,如奶牛牧场使用(北部:OR0.64,CI0.50-0.82;南部:OR0.65,CI0.47-0.88)、牛奶蛋白含量(高牛奶蛋白含量=北部:OR1.34,CI1.18-1.52;东部:OR1.17,CI1.08-1.28;低牛奶蛋白含量=北部:OR0.79,CI0.71-0.88;东部:OR0.84,CI0.79-0.90)和品种(东部“其他”[非德国西门塔尔牛和德国荷斯坦牛]的可能性较低[OR0.47,CI0.42-0.53],南部德国荷斯坦牛和“其他”的可能性均较低[德国荷斯坦牛:OR0.62,CI0.43-0.90;其他:OR0.46,CI0.34-0.62])与跛行分别在 2 个地区相关。酮病(北部更高的可能性[OR1.11,CI1.01-1.22])和体细胞计数(东部更高的可能性[增加(>39.9 个细胞×1000/mL):OR1.10;CI1.03-1.17;高(>198.5 个细胞×1000/mL):OR1.08;CI1.01-1.06)分别改变了跛行的可能性。来自有机农场的奶牛跛行的可能性在所有 3 个地区均较低(北部:OR0.18,CI0.11-0.32;东部:OR0.39,CI0.28-0.56;南部:OR0.45,CI0.29-0.68)。由于不同地区的奶牛生产系统差异很大,因此本研究的结果可以被视为欧洲和北美的广泛松散饲养奶牛系统的代表性结果。所有地区的低 BCS 与跛行之间的一致关联与之前的文献一致。我们的研究还表明,跛行的风险因素可能因地理区域而异,这可能是由于使用的奶牛生产系统存在差异,并且在类似的未来项目中应考虑特定地区的特征。