Essential oil blend and monensin for feedlot steers consuming backgrounding and finishing diets: growth performance, methane emissions using the GreenFeed system, and feeding behavior.

IF 1.3 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Translational Animal Science Pub Date : 2025-01-08 eCollection Date: 2025-01-01 DOI:10.1093/tas/txae182
Stephanie A Terry, Karen A Beauchemin
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引用次数: 0

Abstract

A study was conducted to assess growth performance, methane (CH4) emissions, and feeding behavior of feedlot steers consuming backgrounding and finishing diets with an essential oil blend (EO), monensin (Mon), and their combination (EO + Mon). The study was structured as a 2 × 2 factorial, with two feed additive treatments (Control, EO) and two monensin treatments (no Monensin, Monensin). One hundred Angus × steers were evenly distributed across each treatment into four pens, and each dietary phase consisted of four, 28-d periods. Using the GreenFeed system to estimate CH4 yield (g CH4/kg dry matter intake [DMI]), the mean CV (coefficient of variation) within the same steer across measurement periods was 14.0% and 15.2% for the backgrounding and finishing phases, respectively. The mean CV of CH4 production for steer within period and time-of-day block was up to 83.4% and 102.9% for the backgrounding and finishing phases, respectively. There was no difference in overall average daily gain (P ≥ 0.22) or gain:feed ratio (P ≥ 0.26) with EO or Monensin during the backgrounding or finishing phases. There were variable period effects on CH4 emissions, but overall control had lower (EO × Mon; P ≤ 0.01) CH4 production, yield, and CH4 energy as a percentage of gross energy intake (GEI) (Ym, Mcal CH4 % GEI), during the backgrounding phase. During the finishing phase, CH4 yield (EO × Mon; P = 0.02) and Ym (EO × Mon; P ≤ 0.01) were greatest in the EO + Mon treatment. Monensin, irrespective of EO, decreased DMI (P < 0.01) and eating rate (P = 0.01), and increased intermeal interval (P < 0.01) for the backgrounding phase. In the finishing phase, Monensin decreased (P < 0.01) DMI, variation of DMI (EO × Mon), meal size, and eating rate. Number of GreenFeed visits was negatively (P < 0.01) correlated with all feeding behavior metrics in the finishing phase. In conclusion, supplementation of EO or Monensin and their combination into backgrounding and finishing diets of feedlot steers had no effect on overall feedlot performance or CH4 emissions. Additionally, the high variability in CV of CH4 production and yield suggests a need to improve the accuracy and precision of the GreenFeed system for estimating enteric CH4 emissions from cattle.

食用背景饲粮和育肥期饲粮的饲养场肉牛精油混合物和莫能菌素:生长性能、使用GreenFeed系统的甲烷排放和饲养行为。
本试验旨在评估饲粮中添加精油混合物(EO)、莫能菌素(Mon)及其组合(EO + Mon)的育成饲粮的生长性能、甲烷(CH4)排放和采食行为。该研究采用2 × 2因子设计,采用两种饲料添加剂处理(对照组,EO)和两种莫能菌素处理(不添加莫能菌素,莫能菌素)。将100头安格斯×阉牛平均分配到4个栏中,每个饲粮阶段为4期,每期28 d。使用GreenFeed系统估算CH4产量(g CH4/kg干物质采食量[DMI]),在背景期和育肥期,同一耕牛的平均CV(变异系数)分别为14.0%和15.2%。在背景阶段和育肥阶段,在时段和时段内,奶牛CH4产量的平均CV分别高达83.4%和102.9%。在背景期和育肥期,EO和莫能菌素对总平均日增重(P≥0.22)和料重比(P≥0.26)均无显著影响。CH4排放存在变周期效应,但总体控制较低(EO × Mon);P≤0.01)CH4产量、产量和CH4能量占总能量摄入(GEI)的百分比(Ym, Mcal CH4 % GEI)。在精加工阶段,CH4产率(EO × Mon;P = 0.02)和Ym (EO × Mon;P≤0.01),EO + Mon组最高。与EO无关,莫能菌素降低了DMI (P P = 0.01),增加了餐间间隔(P P P 4)排放。此外,CH4生产和产量CV的高变异性表明,需要提高GreenFeed系统估算牛肠道CH4排放的准确性和精密度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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