Department of Animal Sciences, Livestock Systems, Georg-August-University Göttingen, Albrecht-Thaer-Weg 3, 37075 Göttingen, Germany.
Department of Animal Sciences, Breeding Informatics, Georg-August-University Göttingen, Margarethe von Wrangell-Weg 7, 37075 Göttingen, Germany.
Animal. 2022 Nov;16(11):100655. doi: 10.1016/j.animal.2022.100655. Epub 2022 Oct 10.
Increasing litter size has created the need for more sophisticated, accurate, and welfare-oriented systems for assessing the foster performance of lactating sows. The estimation of milk yield alone is not sufficient for meeting these requirements. Therefore, the aim of the current study was to develop a grading system for assessing the foster performance of lactating sows that can be easily applied in commercial farm practice. Data were collected in two German conventional farrow-to-feeder farms with a total sample size of 639 sows (4.05 ± 2.86 parities) and 1 728 litters. Besides general performance data, the piglets were weighed individually within the first 24 hours after birth and at the peak of lactation (day 18.22 ± 2.48). Based on these data, we proposed a new score referring to the milk score (MS). This score was compared with the commonly used formula for estimating milk yield (est. MY), which solely involves litter weight gain and litter size. The improvement of the developed MS allowed us to distinguish between the birth and foster performances of the lactating sows through considering cross-fostering, litter size, individual piglet weights, and piglet mortality during lactation. Both scores showed a similar progression across parities. It was found that litter size had a significant impact on the performance of lactating sows. A high est. MY was found to be associated with a significantly higher number of piglets per litter (15.79 ± 2.20), lower weight gain per piglet, and increased piglet mortality during lactation compared with sows with high MS, which showed a smaller litter size (13.51 ± 2.18) (P < 0.05). The focus on smaller litter size indicates a performance limitation, which seems to be related to the average teat number of 13-15 teats per sow. We recommend the consideration of the number of functional teats, because a litter size above it will not result in a sow having higher foster performance. In conclusion, as an extension of the common est. MY calculation, the MS considers cross-fostering as current farm-management practice when dealing with larger litters. Our recommendations emphasise the importance of an MS which indicates smaller litter size, higher piglet weight gain, and lower piglet mortality during lactation; these factors are related to an improvement in animal welfare for sows and piglets. Moreover, the presented MS could be used to develop a management tool for farmers to assess the foster performance of lactating sows, considering individual farm-management practices.
提高窝产仔数要求评估泌乳母猪寄养性能的系统更加复杂、准确和注重福利。仅估计产奶量不足以满足这些要求。因此,本研究旨在开发一种简单适用于商业农场实践的泌乳母猪寄养性能评估分级系统。该研究的数据来自于两家德国常规的分娩至育肥农场,样本总量为 639 头母猪(4.05±2.86 胎次)和 1728 窝仔猪。除了一般性能数据外,仔猪在出生后 24 小时内和泌乳高峰期(第 18.22±2.48 天)时进行单独称重。基于这些数据,我们提出了一个新的与奶量评分(MS)相关的分数。该分数与常用的估计产奶量公式(est. MY)进行了比较,后者仅涉及窝重增加和窝产仔数。新提出的 MS 的改进使得我们能够通过考虑寄养、窝产仔数、仔猪个体体重和哺乳期仔猪死亡率来区分泌乳母猪的分娩和寄养性能。这两个评分在胎次上都有相似的进展。结果发现,窝产仔数对泌乳母猪的性能有显著影响。高 est. MY 与每窝仔猪数量显著增加(15.79±2.20)、每头仔猪体重增加减少和哺乳期仔猪死亡率增加相关,而 MS 较高的母猪则表明窝产仔数较小(13.51±2.18)(P<0.05)。对较小窝产仔数的关注表明存在性能限制,这似乎与每头母猪 13-15 个有效乳头的平均数量有关。我们建议考虑有效乳头的数量,因为超过这个数量的窝产仔数并不会导致母猪的寄养性能更高。总之,作为常用 est. MY 计算的扩展,MS 考虑了当前的农场管理实践中的寄养情况,适用于较大的窝产仔数。我们的建议强调了 MS 的重要性,它表明较小的窝产仔数、较高的仔猪体重增加和哺乳期较低的仔猪死亡率,这些因素与母猪和仔猪的动物福利改善有关。此外,提出的 MS 可以用于开发一个管理工具,供农民用于评估泌乳母猪的寄养性能,同时考虑到个别农场管理实践。