Department of Large Animal and Clinical Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
PLoS One. 2019 Jul 18;14(7):e0219901. doi: 10.1371/journal.pone.0219901. eCollection 2019.
The cow-calf industry in North America is in a period of rapid consolidation with corresponding increases in herd sizes and changes in management. The objectives of this study were to examine longitudinal data on reproductive performance in cow-calf herds and identify benchmarks for the most critical measures and important sources of differences among herds. To address these questions, a surveillance network was established in western Canada to collect data between 2013 to 2017 privately owned cow-calf herds during calving (n = 105 herds) and at pregnancy testing (n = 94 herds). Data were summarized for a number of indices of herd performance. However, the values considered to be most reliable and accurate were the percentage of females not pregnant when tested by a veterinarian, the percentage of calves dead within 24 hours of birth, and the percentage of calves dead from 24 hours to weaning. The mean and variation between herds for heifers, measured using standard deviation, was greater than for cows for: non-pregnancy (cows 6.8% (mean)±3.4%(SD), heifers 9.7%±8.2%), calf death from birth to 24 hours (cows 2.1%±1.6%, heifers 3.6%±4.5%), and calf death from 24 hours to weaning (cows 2.5%±2.4%, heifers 2.9%±3.9%). Benchmarks or performance targets derived from the 25th percentiles of these data for both cows and heifers were <5% for non-pregnancy risk and <1% for calf loss within 24 hours of birth. The suggested benchmark for calf loss from 24 hours to weaning was <2% for cows and <1% for heifers. All outcomes consistently displayed greater variation between herds as compared to year to year differences within herds with the exception of calf loss before 24 hours in cows. The timing of the start of breeding season was a consistent source of variation in risks of non-pregnancy and calf losses. Cows bred in April or earlier to start calving in late December or January were at increased risk of low pregnancy percentages (p<0.001) and calf losses at birth (p<0.04), as well as increased calf loss before weaning in both cows and heifers (p<0.02). There was also an increase in the risk of non-pregnancy for cows and heifers (p<0.001) where first exposure to breeding was not until July or August. In contrast, the risks of calf loss within 24 hrs of birth (p<0.001) and from 24 hrs to weaning in cows (p<0.02) first exposed to breeding in July and August were significantly lower than for herds that had earlier breeding seasons.
北美奶牛养殖行业正处于快速整合阶段,伴随着牛群规模的扩大和管理方式的变化。本研究的目的是研究奶牛养殖牛群的繁殖性能纵向数据,并确定最关键指标的基准值以及牛群之间差异的重要来源。为了实现这些目标,在加拿大西部建立了一个监测网络,在产犊期间(n=105 个牛群)和妊娠检查时(n=94 个牛群)收集 2013 年至 2017 年私人拥有的奶牛养殖牛群的数据。对许多牛群性能指标进行了总结。然而,被认为最可靠和准确的数值是兽医检查时未怀孕的雌性百分比、出生后 24 小时内死亡的小牛百分比和出生至断奶期间死亡的小牛百分比。使用标准差衡量的后备牛的平均值和牛群之间的差异大于经产牛:未怀孕(经产牛 6.8%(平均值)±3.4%(SD),后备牛 9.7%±8.2%)、出生至 24 小时内死亡的小牛(经产牛 2.1%±1.6%,后备牛 3.6%±4.5%)和出生至断奶期间死亡的小牛(经产牛 2.5%±2.4%,后备牛 2.9%±3.9%)。从这些数据的第 25 百分位数得出的后备牛和经产牛的基准值或性能目标<5%为未怀孕风险,<1%为出生后 24 小时内的小牛损失。建议的后备牛从出生至断奶期间的小牛损失基准值<2%,经产牛<1%。所有结果都显示,与牛群内的年度差异相比,牛群之间的差异更大,除了经产牛在出生前 24 小时内的小牛损失。繁殖季节开始时间是未怀孕和小牛损失风险变化的一个持续来源。4 月或更早开始配种以使 12 月下旬或 1 月产犊的奶牛怀孕百分比较低的风险增加(p<0.001),出生时的小牛损失(p<0.04)以及后备牛和经产牛的断奶前小牛损失增加(p<0.02)。首次配种直到 7 月或 8 月的后备牛和经产牛未怀孕的风险也增加(p<0.001)。相比之下,7 月和 8 月首次配种的后备牛出生后 24 小时内的小牛损失(p<0.001)和经产牛的小牛损失从出生至断奶期间(p<0.02)的风险明显低于那些更早开始繁殖季节的牛群。