Taizhong Liu,Jae-Sung Lee,Jong-Hwan Hyun,Xue-Cheng Jin,Hong-Gu Lee
{"title":"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。","authors":"Taizhong Liu,Jae-Sung Lee,Jong-Hwan Hyun,Xue-Cheng Jin,Hong-Gu Lee","doi":"10.1093/jas/skaf124","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":14895,"journal":{"name":"Journal of animal science","volume":"20 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Developing a regression equation model to predict individual water intake in Holstein growing cattle using reticulorumen temperature.\",\"authors\":\"Taizhong Liu,Jae-Sung Lee,Jong-Hwan Hyun,Xue-Cheng Jin,Hong-Gu Lee\",\"doi\":\"10.1093/jas/skaf124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":14895,\"journal\":{\"name\":\"Journal of animal science\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of animal science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1093/jas/skaf124\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of animal science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/jas/skaf124","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
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.
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.