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马体重估计方法的准确性评估

Evaluation of the Accuracy of Horse Body Weight Estimation Methods.

作者信息

Górniak Wanda, Wieliczko Martyna, Soroko Maria, Korczyński Mariusz

机构信息

Department of Environment Hygiene and Animal Welfare, Wroclaw University of Environmental and Life Sciences, Chelmonskiego 38C, 51-630 Wroclaw, Poland.

Institute of Animal Breeding, Wroclaw University of Environmental and Life Sciences, Chelmonskiego 38C, 51-630 Wroclaw, Poland.

出版信息

Animals (Basel). 2020 Sep 26;10(10):1750. doi: 10.3390/ani10101750.

DOI:10.3390/ani10101750
PMID:32993072
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7599529/
Abstract

Methods of estimating horse body weight using mathematical formulae have better accuracy than methods of reading body weight from measuring tape. The aim of the study was to evaluate established formulae for estimating horse body weight from data gathered using measurement tape. The research was conducted in a group of 299 adult horses and ponies of selected breeds: ponies ( = 58), Polish Noble Half Breed ( = 150), Silesian Breed ( = 23), Wielkopolski Breed ( = 52), and Thoroughbred ( = 16). Body measurements were performed on each horse using a measuring stick and tape. The actual body weight of the horses was measured with electronic scale. Statistical analysis was carried out separately for individual breeds of horses. In each of the research groups formulae were selected, the results of which were closest to the actual horse body weight readings. The use of formulae for body weight estimation can be useful in determining feed dosages and additives, medicines or deworming agents. Regular weight measurement is important for maintaining a healthy horse.

摘要

使用数学公式估算马体重的方法比通过卷尺读取体重的方法具有更高的准确性。本研究的目的是根据使用卷尺收集的数据,评估用于估算马体重的既定公式。研究在一组299匹选定品种的成年马和矮种马中进行:矮种马(n = 58)、波兰贵族混血马(n = 150)、西里西亚马(n = 23)、大波兰马(n = 52)和纯种马(n = 16)。使用测量棒和卷尺对每匹马进行身体测量。用电子秤测量马的实际体重。对各马种分别进行统计分析。在每个研究组中选择公式,其结果最接近马的实际体重读数。使用公式估算体重有助于确定饲料剂量和添加剂、药物或驱虫剂。定期测量体重对保持马匹健康很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/a6c6429590fb/animals-10-01750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/295fc7222fea/animals-10-01750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/07073b1201af/animals-10-01750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/61c9f1af7ef8/animals-10-01750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/8dff20d5697a/animals-10-01750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/e3a3070dafb4/animals-10-01750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/a6c6429590fb/animals-10-01750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/295fc7222fea/animals-10-01750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/07073b1201af/animals-10-01750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/61c9f1af7ef8/animals-10-01750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/8dff20d5697a/animals-10-01750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/e3a3070dafb4/animals-10-01750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d5d/7599529/a6c6429590fb/animals-10-01750-g006.jpg

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J Equine Vet Sci. 2019 Jul;78:117-122. doi: 10.1016/j.jevs.2019.04.008. Epub 2019 May 13.
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Body Weight Prediction from Linear Measurements of Icelandic Foals: A Machine Learning Approach.通过冰岛马驹线性测量预测体重:一种机器学习方法。
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