建立回归方程模型,利用网状胃温度预测荷斯坦生长牛的个体饮水量。

IF 2.7 2区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Taizhong Liu,Jae-Sung Lee,Jong-Hwan Hyun,Xue-Cheng Jin,Hong-Gu Lee
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引用次数: 0

摘要

本研究的目的是建立一个方程模型,通过计算包含网状胃温度的曲线下面积(AUC)来预测荷斯坦生长牛的个体饮水量(WI)。选用21头母荷斯坦生长牛,年龄11.3±2.06月龄,体重346±5.2 kg。所有动物均安装Bolus传感器,并于上午09:00、下午01:00和下午05:00在20±1.4°C温度下饮水1小时。实际的WI是通过每次动物喝水时称量桶中剩余水的体积来记录的。采用平均绝对百分比误差(MAPE)分析评价回归方程模型的准确性。在研究1中,在评估AUC与实际WI之间的相关性之前,需要在三头牛响应WI行为的网状腔温度变化生成的30张图上确定终点温度点。我们观察到,与起始温度点相比,98%的回收率是最佳点,拟合优度R2为0.8067。在研究2中,考虑到网窝温度可能受到饲养和空间条件因素的影响,将12头牛根据是否限制或不限制饲料和空间分为4组,进行AUC与实际WI回归中的系数确定。结果表明,自由饲养与密闭饲养对WI后网状腔温度变化无显著影响(P < 0.05)。基于这些数据,我们建立了AUC与实际WI相结合的回归方程模型预测WI(预测WI = 0.0632 x AUC + 3.8936, R2 = 0.7473, MAPE = 26.01%)。为了验证预测WI的回归方程模型,引入MAPE来评估预测WI与实际WI的准确率,其值为75.39%(研究3)。综上所述,该传感器可用于测量网状腔温度随水分消耗的变化,用于预测荷斯坦生长牛个体WI和监测反刍动物健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing a regression equation model to predict individual water intake in Holstein growing cattle using reticulorumen temperature.
The aim of this study was to develop an equation model for predicting individual water intake (WI) in Holstein growing cattle by calculating the area under the curve (AUC) incorporating reticulorumen temperature from a wireless bolus sensor. A total of 21 female Holstein growing cattle aged 11.3 ± 2.06 months and weighing 346 ± 5.2 kg were used in this study. Bolus sensors were fitted to all animals, and water was given at 09:00 am, 01:00 pm, and 05:00 pm at a temperature of 20 ± 1.4°C for 1 hour. The actual WI was recorded by weighing the volume of residual water in the bucket each time the animals drank water. The accuracy of the regression equation model was evaluated by mean absolute percentage error (MAPE) analysis. In study 1, prior to conducting an evaluation of the correlation between AUC and the actual WI, the determination of the end-temperature point on the 30 graphs generated by the reticulorumen temperature change in response to the WI behavior of three cattle was necessary. We observed that a recovery rate of 98% compared to the start-temperature point was the optimal point with a goodness-of-fit R2 of 0.8067. In study 2, considering that the reticulorumen temperature may be influenced by factors of feeding and space conditions, the coefficient determination in the regression between AUC and actual WI was performed using twelve cattle divided into four groups according to whether they were restricted or unrestricted in feed and space. The investigation revealed no significant difference (P > 0.05) in the change of reticulorumen temperature after WI in cattle housed in either free or confined feed and space. Based on these data, we established a regression equation model to forecast WI by combining AUC and actual WI (forecasted WI = 0.0632 x AUC + 3.8936, R2 = 0.7473, MAPE = 26.01%). In order to confirm the regression equation model for forecasting WI, the MAPE was introduced to assess the accuracy of the forecasted WI compared to the actual WI, yielding a value of 75.39% (study 3). In conclusion, the bolus sensor can be used to measure reticulorumen temperature changes in response to water consumption for predicting individual WI in Holstein growing cattle and monitoring ruminant health.
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来源期刊
Journal of animal science
Journal of animal science 农林科学-奶制品与动物科学
CiteScore
4.80
自引率
12.10%
发文量
1589
审稿时长
3 months
期刊介绍: The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication.
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