Determination of gas flux and animal performance test duration of growing cattle in confined conditions

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Juan de J Vargas, Maya Swenson, Sara Place
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Abstract

Abstract Data from three experiments was analyzed to determine the number of visits and days to assess gas flux (CH4, CO2, and O2), dry matter intake (DMI), and average daily gain (ADG) from growing animals under confined conditions. In experiment 1, 213 animals (461 ± 91 kg initial body weight [BW]) were fed a backgrounding diet and evaluated for 60 d. In experiment 2, 169 steers (488 ± 37 kg initial BW) were fed a finishing diet and assessed for 70 d. In experiment 3, 64 steers (514 ± 42 kg initial BW) were fed a finishing diet and evaluated for 80 d. In each experiment, animals were placed in one pen with one Greenfeed and five SmartFeeds to collect gas flux and feed intake simultaneously. Gas flux was analyzed using data from 161 animals from the three experiments with 100 visits for 2 or more min or 3 or more min. Also, metabolic heat production (MHP) was estimated using the individual gas flux. Daily DMI was calculated as the daily feed intake corrected by the dry matter concentration. ADG was computed as the slope of the regression of the shrunk BW (96% BW) throughout each of the experimental periods. The mean gas flux and MHP were estimated for increasing or decreasing 5-visit intervals starting with the first or the last 5 visits and increasing or decreasing until the full 100-visit dataset was utilized, respectively. Intervals of DMI were estimated for increasing or decreasing 5-d intervals starting with the first or the last 5 d and increasing or decreasing until the end of the experimental period, respectively. Intervals of ADG were estimated for increasing or decreasing measurement period intervals until the end of the experimental period, respectively. Pearson and Spearman correlations were computed between the maximum visits or days and each shortened visit or day interval. The minimum number of visits and days was determined when correlations with the total visits were greater than 0.95. The results indicated that the minimum number of visits needed to quantify CO2, O2, and MHP accurately was 40, while CH4 was 60. A visitation length of 2 min or more or 3 min or more did not modify the gas flux determination. Thus, based on the average daily visitation in these experiments, gas flux data could be collected for 25 d. Additionally, the required days to determine DMI was 30, while ADG could not be assessed in a shorter than 60-d period.
测定封闭条件下生长牛的气体通量和动物性能测试持续时间
摘要 分析了三个实验的数据,以确定在封闭条件下评估生长动物的气体通量(CH4、CO2 和 O2)、干物质摄入量(DMI)和平均日增重(ADG)的访问次数和天数。在实验 1 中,213 头牛(初始体重为 461 ± 91 千克[BW])饲喂背景日粮,评估期为 60 天;在实验 2 中,169 头牛(初始体重为 488 ± 37 千克[BW])饲喂育成日粮,评估期为 70 天;在实验 3 中,64 头牛(初始体重为 514 ± 42 千克[BW])饲喂育成日粮,评估期为 80 天。在每个实验中,将动物与一个 Greenfeed 栏和五个 SmartFeed 栏放在一起,以同时收集气体通量和饲料摄入量。气体通量的分析使用了三个实验中 161 只动物的数据,其中有 100 只动物进行了 2 分钟或 3 分钟以上的访问。此外,还利用单个气体通量估算了代谢产热(MHP)。日 DMI 按干物质浓度校正后的日采食量计算。ADG是根据每个实验阶段的缩水体重(96%体重)的回归斜率计算得出的。平均气体通量和 MHP 分别从第一次或最后一次 5 次访问开始,以 5 次访问间隔递增或递减的方式进行估算,然后递增或递减,直到使用完整的 100 次访问数据集。从第一个或最后一个 5 天开始,分别按 5 天间隔递增或递减以及递增或递减直至实验期结束估算 DMI 间隔。ADG的区间分别按测量期间隔的增加或减少估算,直至实验期结束。计算最大访问次数或天数与每个缩短的访问次数或天数间隔之间的皮尔逊和斯皮尔曼相关性。当与总访问次数的相关性大于 0.95 时,就确定了最小访问次数和天数。结果表明,准确量化 CO2、O2 和 MHP 所需的最小访问次数为 40 次,而 CH4 为 60 次。访问时间为 2 分钟或以上或 3 分钟或以上不会改变气体通量的测定结果。此外,测定 DMI 所需的天数为 30 天,而 ADG 无法在短于 60 天的时间内进行评估。
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来源期刊
Translational Animal Science
Translational Animal Science Veterinary-Veterinary (all)
CiteScore
2.80
自引率
15.40%
发文量
149
审稿时长
8 weeks
期刊介绍: Translational Animal Science (TAS) is the first open access-open review animal science journal, encompassing a broad scope of research topics in animal science. TAS focuses on translating basic science to innovation, and validation of these innovations by various segments of the allied animal industry. Readers of TAS will typically represent education, industry, and government, including research, teaching, administration, extension, management, quality assurance, product development, and technical services. Those interested in TAS typically include animal breeders, economists, embryologists, engineers, food scientists, geneticists, microbiologists, nutritionists, veterinarians, physiologists, processors, public health professionals, and others with an interest in animal production and applied aspects of animal sciences.
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