Centre for Veterinary Epidemiology and Risk Analysis, Veterinary Sciences Centre, University College Dublin, Belfield, Dublin 4, Ireland.
Anim Reprod Sci. 2013 Sep;141(1-2):34-41. doi: 10.1016/j.anireprosci.2013.06.019. Epub 2013 Jul 5.
Herd management record analysis facilitates accurate assessment of the current herd reproductive status; a crucial decision making tool to implement effective change. To determine the relative importance of cow and management factors on reproductive indices in moderate-yielding Irish seasonal-calving dairy herds, breeding records of 1173 cows were collected from 10 seasonal calving herds between 2007 and 2009. Backward-stepwise multivariable logistic regression analysis was utilised to determine the effect of cow factors including parity, calving timing, days post partum, heat detection accuracy and herd factors including herd size and heat detection efficiency on key reproductive indices. Mean farm six-week pregnancy and end of season not-in-calf rate were 46% (range 14-72%) and 22% (range 3-40%), respectively. Oestrous detection efficiency (P<0.001), timing of calving (P<0.001) relative to start of breeding, history of abnormal repeat intervals (P<0.001) and length of post partum interval (P<0.001) were each associated with lower six-week pregnancy rates. Timing of calving (P<0.001) and history of abnormal repeat intervals (P<0.001) were associated with higher not-in-calf rates. Herd size and cow parity were not associated (P>0.05) with either outcome when factors including existing calving pattern and heat detection accuracy and efficiency were accounted for. The existing spread in calving pattern, heat detection quality and length of voluntary waiting period were the most influential factors that reduced fertility performance in seasonal-calving herds.
herd management record analysis facilitates accurate assessment of the current herd reproductive status; a crucial decision making tool to implement effective change. herd 管理记录分析有助于准确评估当前 herd 繁殖状况;这是实施有效变革的关键决策工具。
To determine the relative importance of cow and management factors on reproductive indices in moderate-yielding Irish seasonal-calving dairy herds, breeding records of 1173 cows were collected from 10 seasonal calving herds between 2007 and 2009. 为了确定爱尔兰中产量季节性产奶牛 herd 中 cow 和管理因素对繁殖指数的相对重要性,我们从 2007 年至 2009 年的 10 个季节性产奶牛 herd 中收集了 1173 头 cow 的繁殖记录。
Backward-stepwise multivariable logistic regression analysis was utilised to determine the effect of cow factors including parity, calving timing, days post partum, heat detection accuracy and herd factors including herd size and heat detection efficiency on key reproductive indices. 我们利用向后逐步多变量逻辑回归分析来确定 cow 因素(包括胎次、产犊时间、产后天数、发情检测准确性)和 herd 因素(包括 herd 规模和发情检测效率)对关键繁殖指数的影响。
Mean farm six-week pregnancy and end of season not-in-calf rate were 46% (range 14-72%) and 22% (range 3-40%), respectively. 平均农场六周妊娠和期末不发情率分别为 46%(范围 14-72%)和 22%(范围 3-40%)。
Oestrous detection efficiency (P<0.001), timing of calving (P<0.001) relative to start of breeding, history of abnormal repeat intervals (P<0.001) and length of post partum interval (P<0.001) were each associated with lower six-week pregnancy rates. 发情检测效率(P<0.001)、产犊时间(P<0.001)相对于配种开始时间、异常重复间隔的历史(P<0.001)和产后间隔长度(P<0.001)与六周妊娠率较低有关。
Timing of calving (P<0.001) and history of abnormal repeat intervals (P<0.001) were associated with higher not-in-calf rates. 产犊时间(P<0.001)和异常重复间隔的历史(P<0.001)与更高的不发情率有关。
Herd size and cow parity were not associated (P>0.05) with either outcome when factors including existing calving pattern and heat detection accuracy and efficiency were accounted for. 当考虑到现有产犊模式和发情检测准确性和效率等因素时, herd 规模和 cow 胎次与这两个结果均无关联(P>0.05)。
The existing spread in calving pattern, heat detection quality and length of voluntary waiting period were the most influential factors that reduced fertility performance in seasonal-calving herds. 现有的产犊模式、发情检测质量和自愿等待期长度的差异是降低季节性产奶牛 herd 繁殖性能的最具影响力的因素。