比较二氧化碳、氧气和甲烷交换,以及使用GreenFeed和呼吸室测量的热量产生。

IF 4.4 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Ali-Reza Bayat, Päivi Mäntysaari, Tomasz Stefański, Enyew Negussie, Martin Lidauer, Pekka Huhtanen
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引用次数: 0

摘要

本研究的目的是评估GreenFeed (GF)排放监测系统在测量O2、CO2和CH4交换以及产热(HP)方面的精度和准确性,并与呼吸室(RC)进行比较。选取32头哺乳期北欧红奶牛(体重634±60.4 kg,产奶量145±63.1 DIM,产奶量28.9±6.7 kg /d,胎次1.6±1.16),根据体重、产奶量、DIM和胎次分为8个区,采用切换设计,比较GF单位(n = 2)和RC单位(n = 4)测量的CO2、O2和CH4交换量。每个区块的实验周期为5周;第2周、第3周和第2周分别用GF法测定奶牛的生长情况。在研究期间,奶牛被喂食以青贮饲料为基础的饲粮,每头奶牛的料精比恒定,根据研究开始时的产奶量,从42:58到67:33不等。对于GF数据,每头奶牛4周内所有测量值的平均值±2.5 × SD范围之外的记录被视为异常值。总的来说,3115个数据点中有214个数据点作为异常值被删除。GF测定的4周内CO2、O2和CH4的平均交换量以及HP和SD值(12,778±1,137、8,795±773、462±57 g/d和131±11 MJ/d)与RC测定的平均值(13,103±1,421、8,817±941和453±56 g/d和132±14 MJ/d)接近。O2、CO2和CH4交换的重复性,以及GF的HP,根据2周的平均值计算,分别为0.88、0.88、0.82和0.88。O2、CO2和CH4在6、8和12 d时的准确度分别为0.90。基于混合模型线性回归分析,GF(4周数据的平均值)估计奶牛的O2交换量与RC数据(3-d平均值,R2 = 0.89,均方根预测误差[RMSPE] =平均值的3.1%,一致性相关系数[CCC] = 0.94)有较强的相关性,其次是CO2 (R2 = 0.84, RMSPE =平均值的3.5%,CCC = 0.88)和CH4 (R2 = 0.79, RMSPE =平均值的4.6%,CCC = 0.87)。GF估算的产热量与RC估算的产热量密切相关(R2 = 0.88, RMSPE =平均值的3.2%,CCC = 0.93)。对于O2、CO2和HP,截距和斜率没有偏倚,而对于CH4,截距和斜率分别大于0和小于1。因此,GF可作为测量奶牛呼吸气体交换和HP的替代指标,为大规模测量能量代谢和饲料效率铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing carbon dioxide, oxygen, and methane exchanges, and heat production measured using GreenFeed and respiration chambers.

The aim of this study was to evaluate the precision and accuracy of GreenFeed (GF) Emission Monitoring system in measuring O2, CO2, and CH4 exchanges, and heat production (HP) when compared with respiration chambers (RC). Thirty-two lactating Nordic Red cows (634 ± 60.4 kg BW, 145 ± 63.1 DIM, 28.9 ± 6.7 kg milk/d, and parity 1.6 ± 1.16) allocated to 8 blocks based on BW, milk yield, DIM, and parity were used to compare CO2, O2, and CH4 exchanges measured by GF units (n = 2) versus RC (n = 4) in a switch-back design. The experimental period for every block was 5 wk; the cows were measured by GF during 2 wk, the third wk in RC, and another 2 wk by GF. The cows were fed a grass silage-based diet with constant forage-to-concentrate ratio for each cow during the study, ranging from 42:58 to 67:33, depending on their milk production at the beginning of study. For GF data, the records outside of the range of mean ± 2.5 × SD of all measurements over 4 wk for each cow were identified as outliers. Altogether, 214 out of 3,115 data points were removed as the outliers. Average CO2, O2, and CH4 exchanges, and HP in addition to their SD measured by GF during 4-wk periods (12,778 ± 1,137, 8,795 ± 773, 462 ± 57 g/d, and 131 ± 11 MJ/d) were close to those measured by RC (13,103 ± 1,421, 8,817 ± 941, and 453 ± 56 g/d, and 132 ± 14 MJ/d), respectively. Repeatability of O2, CO2, and CH4 exchanges, and HP for GF was 0.88, 0.88, 0.82, and 0.88, respectively, when calculated based on the averages of 2-wk periods. Accuracy of 0.90 was achieved in 6, 8, and 12 d for O2, CO2, and CH4, respectively. Based on mixed model linear regression analysis, GF (averages of 4-wk data) estimated O2 exchanges of cows with a strong relationship with RC data (averages of 3-d; R2 = 0.89, root mean square prediction error [RMSPE] = 3.1% of mean, concordance correlation coefficient [CCC] = 0.94), followed by CO2 (R2 = 0.84, RMSPE = 3.5% of mean, CCC = 0.88) and CH4 (R2 = 0.79, RMSPE = 4.6% of mean, CCC = 0.87). Heat production estimated by GF was strongly related to the estimations made by RC (R2 = 0.88, RMSPE = 3.2% of mean, CCC = 0.93). The intercept and slope were not biased for O2, CO2, and HP, whereas for CH4, intercept and slope were greater than 0 and less than 1, respectively. Therefore, GF can be used as an alternative to measure respiration gas exchanges and HP of dairy cows, which paves the way for large-scale measurements of energy metabolism and feed efficiency.

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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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