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开发一种用于预测产蛋母鸡发生啄癖和互啄的预测工具。

Development of a prognostic tool for the occurrence of feather pecking and cannibalism in laying hens.

机构信息

Chair of Animal Welfare, Animal Behavior, Animal Hygiene and Animal Husbandry, Department of Veterinary Sciences, Faculty of Veterinary Medicine, Ludwig-Maximilians-University Munich, Veterinaerstr. 13/R, D-80539 Munich, Germany.

Paul Schmidt, Statistical Consulting for Science and Research, www.statistische-modellierung.de, Zimmerstr. 10, D-76327 Pfinztal, Germany.

出版信息

Poult Sci. 2018 Mar 1;97(3):820-833. doi: 10.3382/ps/pex369.

Abstract

In July 2015, a German voluntary decree stipulated that the keeping of beak-trimmed laying hens after the 1st of January 2017 will no longer be permitted. Simultaneously, the present project was initiated to validate a newly developed prognostic tool for laying hen farmers to forecast, at the beginning of a laying period, the probability of future problems with feather pecking and cannibalism in their flock. For this purpose, we used a computer-based prognostic tool in form of a questionnaire that was easy and quick to complete and facilitated comparisons of different flocks. It contained various possible risk factors that were classified into 3 score categories (1 = "no need for action," 2 = "intermediate need for action," 3 = "instant need for action"). For the validation of this tool, 43 flocks of 41 farms were examined twice, at the beginning of the laying period (around the 20th wk of life) and around the 67th wk of life. At both visits, the designated investigators filled out the questionnaire and assessed the plumage condition and the skin lesions (as indicators of occurrence of feather pecking and cannibalism) of 50 laying hens of each flock. The average prognostic score of the first visit was compared with the existence of feather pecking and cannibalism in each flock at the end of the laying period. The results showed that the prognostic score was negatively correlated with the plumage score (r = -0.32; 95% confidence interval [CI]: [-0.56; -0.02]) and positively correlated with the skin lesion score (r = 0.38; 95% CI: [0.09; 0.61]). These relationships demonstrate that a better prognostic score was associated with a better plumage and skin lesion score. After performing a principal component analysis on the single scores, we found that only 6 components are sufficient to obtain highly sensitive and specific prognostic results. Thus, the data of this analysis should be used for creating applicable software for use on laying hen farms.

摘要

2015 年 7 月,德国颁布了一项自愿法令,规定自 2017 年 1 月 1 日起,将不再允许饲养断喙蛋鸡。与此同时,本项目启动,目的是为蛋鸡养殖户开发一种新的预测工具,以便在产蛋期开始时预测其鸡群未来啄癖和互啄的可能性。为此,我们使用了一种基于计算机的预测工具,该工具采用易于填写且快速的问卷形式,并便于比较不同鸡群。问卷中包含了各种可能的风险因素,这些因素被分为 3 个评分类别(1=“无需采取行动”,2=“需要采取中等程度的行动”,3=“需要立即采取行动”)。为了验证该工具,我们对 41 个农场的 43 个鸡群进行了两次检查,分别在产蛋期开始时(约在 20 周龄时)和 67 周龄左右。在两次检查中,指定的调查员填写了问卷,并评估了每个鸡群 50 只产蛋鸡的羽毛状况和皮肤损伤(作为啄癖和互啄发生的指标)。第一次检查的平均预测得分与产蛋期末每个鸡群的啄癖和互啄情况进行了比较。结果表明,预测得分与羽毛评分呈负相关(r=-0.32;95%置信区间[CI]:[-0.56;-0.02]),与皮肤损伤评分呈正相关(r=0.38;95%CI:[0.09;0.61])。这些关系表明,较好的预测得分与较好的羽毛和皮肤损伤评分相关。对单个评分进行主成分分析后,我们发现仅需 6 个成分就足以获得高度敏感和特异的预测结果。因此,该分析的数据应用于创建适用于蛋鸡养殖场的应用软件。

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