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德国荷斯坦小母牛和母牛的产犊预测系统与常规产前检查的比较

Comparison between a Calving Predictive System and a Routine Prepartal Examination in German Holstein Heifers and Cows.

作者信息

Górriz-Martín Lara, Koenig Annabel, Jung Klaus, Bergforth Wiebke, von Soosten Dirk, Hoedemaker Martina, Bajcsy Árpád Csaba

机构信息

Clinic for Cattle, University of Veterinary Medicine, 30173 Hannover, Germany.

Institute for Animal Breeding and Genetics, University of Veterinary Medicine, 30559 Hannover, Germany.

出版信息

Vet Sci. 2022 Apr 15;9(4):192. doi: 10.3390/vetsci9040192.

DOI:10.3390/vetsci9040192
PMID:35448690
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9025200/
Abstract

The objective was to validate the efficacy of Moocall® comparing it to a routine clinical examination. Altogether 38 Holstein cows were enrolled in this study (Moocall® group: 16 heifers and 8 cows; control group: 9 heifers and 5 cows). Clinical examinations were performed every 6 h over the 7 days period before the predicted calving date. The examined traits were changes in pelvic ligament relaxation, edema of the vulva, teat filling, vaginal secretion, tail tip flexibility, tail raising and behavior. There were no significant differences in Moocall® alerts between heifers and cows. The time lag between the first warning of Moocall® and the onset of labor was 21.2 ± 20.2 h (max: 95.4 h; min: 0.1 h; p = 0.87) for heifers and 29.6 ± 29.6 h (max: 177.8 h; min: 0 h; p = 0.97) for cows. Linear models including Moocall® alerts showed a significantly better fit to the time until calving than models without Moocall® information (without variable selection: p = 0.030, with variable selection: p < 0.01). In the best-fitting model, class 2 alerts (enhanced tail activity over 2 h) contributed with a higher significance (p < 0.01). Vice versa, models including additional traits were outperformed the use of Moocall® alerts alone. In the best fitting model, class 2 alerts (enhanced tail activity during 2 h) contributed with a higher significance (p < 0.01) than any of the best clinical predictive parameters, such as pelvic ligament relaxation (p = 0.01), tail tip flexibility (p = 0.01) or behavior (p = 0.01).

摘要

目的是验证Moocall®与常规临床检查相比的有效性。本研究共纳入38头荷斯坦奶牛(Moocall®组:16头小母牛和8头母牛;对照组:9头小母牛和5头母牛)。在预计产犊日期前7天内,每6小时进行一次临床检查。检查的特征包括骨盆韧带松弛度变化、外阴水肿、乳头充盈、阴道分泌物、尾尖灵活性、尾巴抬起和行为。小母牛和母牛在Moocall®警报方面没有显著差异。小母牛从Moocall®首次发出警报到分娩开始的时间间隔为21.2±20.2小时(最大值:95.4小时;最小值:0.1小时;p = 0.87),母牛为29.6±29.6小时(最大值:177.8小时;最小值:0小时;p = 0.97)。包含Moocall®警报的线性模型在预测产犊时间方面比不包含Moocall®信息的模型拟合度显著更好(不进行变量选择:p = 0.030,进行变量选择:p < 0.01)。在最佳拟合模型中,2级警报(尾巴活动增强超过2小时)的贡献具有更高的显著性(p < 0.01)。反之,包含其他特征的模型表现不如仅使用Moocall®警报。在最佳拟合模型中,2级警报(2小时内尾巴活动增强)的贡献比任何最佳临床预测参数,如骨盆韧带松弛度(p = 0.01)、尾尖灵活性(p = 0.01)或行为(p = 0.01)具有更高的显著性(p < 0.01)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/4f2d245ee1b7/vetsci-09-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/96db892b9557/vetsci-09-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/723575eeabb4/vetsci-09-00192-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/aaccd1926867/vetsci-09-00192-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/4f2d245ee1b7/vetsci-09-00192-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/96db892b9557/vetsci-09-00192-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/723575eeabb4/vetsci-09-00192-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/aaccd1926867/vetsci-09-00192-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ba5/9025200/4f2d245ee1b7/vetsci-09-00192-g004.jpg

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