<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd"><article xml:lang="en" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.3" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2615-790X</journal-id><journal-title-group><journal-title>Tropical Animal Science Journal</journal-title><abbrev-journal-title>Trop. Anim. Sci. J.</abbrev-journal-title></journal-title-group><issn pub-type="epub">2615-790X</issn><issn pub-type="ppub">2615-787X</issn><publisher><publisher-name>Faculty of Animal Science, IPB University</publisher-name><publisher-loc>Indonesia</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.5398/tasj.2027.50.1.1</article-id><title-group><article-title>Copaiba and Thyme Essential Oils as Natural Alternatives to Ionophores: Impacts on Digestion, Nitrogen Utilization, Ruminal Fermentation, and Methane Emissions in Sheep</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Aniceto</surname><given-names>E. S.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7703-9323</contrib-id><name><surname>Oliveira</surname><given-names>T. S.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Filho</surname><given-names>E. J. L. Mozelli</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Junior</surname><given-names>J. R. Meirelles</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Lima</surname><given-names>M. T.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Fernandes</surname><given-names>A. M.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Muñeton</surname><given-names>L. P. G.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Lopes</surname><given-names>I. F. M.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Erthal</surname><given-names>K. M.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib><contrib contrib-type="author"><name><surname>Santos</surname><given-names>B. A. V.</given-names></name><address><country>Brazil</country></address><xref ref-type="aff" rid="AFF-1"></xref></contrib></contrib-group><contrib-group><contrib contrib-type="editor"><name><surname>Wiryawan</surname><given-names>Prof. Dr. Komang G</given-names></name><address><country>Indonesia</country></address><xref ref-type="aff" rid="EDITOR-AFF-1"></xref></contrib></contrib-group><aff id="AFF-1">Universidade Estadual do Norte Fluminense</aff><aff id="EDITOR-AFF-1">Tropical Animal Science Journal</aff><pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-10-12"><day>12</day><month>10</month><year>2026</year></pub-date><pub-date date-type="collection" iso-8601-date="2026-10-12" publication-format="electronic"><day>12</day><month>10</month><year>2026</year></pub-date><volume>50</volume><issue>1</issue><issue-title>Tropical Animal Science Journal (Issue in Progress)</issue-title><fpage>1</fpage><lpage>9</lpage><history><date date-type="received" iso-8601-date="2026-5-12"><day>12</day><month>5</month><year>2026</year></date></history><permissions><copyright-statement>Copyright (c) 2026 Tropical Animal Science Journal</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Tropical Animal Science Journal</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-sa/4.0/"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by-sa/4.0/</ali:license_ref><license-p>This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Tropical Animal Science Journal. The statement to release the copyright to Tropical Animal Science Journal is stated in Form A. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.</license-p></license></permissions><self-uri xlink:href="https://journal.ipb.ac.id/tasj/article/view/73082" xlink:title="Copaiba and Thyme Essential Oils as Natural Alternatives to Ionophores: Impacts on Digestion, Nitrogen Utilization, Ruminal Fermentation, and Methane Emissions in Sheep">Copaiba and Thyme Essential Oils as Natural Alternatives to Ionophores: Impacts on Digestion, Nitrogen Utilization, Ruminal Fermentation, and Methane Emissions in Sheep</self-uri><abstract><p>Feed additives are important dietary tools to improve efficiency. The present study aimed to evaluate the impact of Copaiba and/or Thyme essential oils as dietary additives for sheep on nutrient intake, apparent digestibility, nitrogen metabolism, ingestive behavior, infrared thermography, ruminal parameters, and methane production. Four castrated and rumen cannulated Santa Inês (52.2±3.1 kg) male sheep were randomly assigned to a 4×4 Latin square design. The treatments were: basal diet without essential oil (EO; CON); basal diet with 50 mg/kg DM of monensin (MON); basal diet with 500 mg/kg DM of EO of Copaiba (CO); and basal diet with 500 mg/kg DM of EO of Thyme (TM). The inclusion of additives (MON, CO, and TM) in the diet of sheep increased dry matter intake (p&lt;0.001). EO increased CP intake, whereas MON decreased it (p=0.03). CO increased crude protein digestibility (dCP) by approximately 14.46% compared with CON. The additives improved microbial efficiency (p&lt;0.05) compared to CON. However, CO showed better nitrogen balance (p=0.01) than the other treatments. MON resulted in the shortest rumination period (p=0.01) and reduced (p=0.04) rumen temperature. MON reduced acetic acid concentrations (p&lt;0.001) and, consequently, methane emissions (p&lt;0.001). CO also reduced estimated methane production compared to TM and CON (p&lt;0.001). In conclusion, additives increased dry matter intake, and CO and TM enhanced crude protein digestibility. EOs improved nitrogen balance, while MON reduced rumen temperature and decreased methane. EOs showed effects similar to those of MON in mitigating estimated methane production and improving feed efficiency in sheep.</p></abstract><kwd-group><kwd>additives</kwd><kwd>antimicrobial</kwd><kwd>fermentative modulator</kwd><kwd>ruminants</kwd><kwd>secondary metabolites</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>File created by JATS Editor</meta-name><meta-value><ext-link ext-link-type="uri" xlink:href="https://jatseditor.com" xlink:title="JATS Editor">JATS Editor</ext-link></meta-value></custom-meta><custom-meta><meta-name>issue-created-year</meta-name><meta-value>2027</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec><title>INTRODUCTION</title><p>Human diets have shifted in recent decades, with consumers increasingly demanding products that meet environmental and health standards<xref ref-type="bibr" rid="BIBR-17">(Komarek et al., 2021)</xref>. This awareness has intensified pressure to restrict the use of additives, particularly ionophore antibiotics such as monensin, which is widely used to modify rumen fermentation, maximize performance, and prevent nutritional disorders such as ruminal acidosis <xref ref-type="bibr" rid="BIBR-14">(Khattab et al., 2020)</xref>.</p><p>Consequently, growing interest in natural alternatives to ionophore antibiotics has driven research over the past decade, with essential oils (EOs) emerging as promising feed additives <xref ref-type="bibr" rid="BIBR-29">(Taban et al., 2021)</xref>; <xref ref-type="bibr" rid="BIBR-3">(Caroprese et al., 2023)</xref>. These lipophilic, volatile compounds possess antibacterial, antifungal, antioxidant, and anti-inflammatory properties, highlighting their potential as natural feed additives in animal nutrition <xref ref-type="bibr" rid="BIBR-29">(Taban et al., 2021)</xref>. Among them, copaiba (<italic>Copaifera sp</italic>.) is a common name for various species distributed across Brazil’s Amazon and Central-West regions. Copaiba essential oil is extracted from different Copaifera species <xref ref-type="bibr" rid="BIBR-9">(Frazão et al., 2023)</xref>. Phytochemical studies have shown that copaiba oils are composed of a mixture of sesquiterpenes and diterpenes, with copalic acid, β-caryophyllene, and α-copaene being the primary components <xref ref-type="bibr" rid="BIBR-9">(Frazão et al., 2023)</xref>. Copaiba essential oil exhibits pronounced antimicrobial activity against a range of gram-positive bacteria, inducing cell wall disruption and the consequent leakage of cytoplasmic constituents <xref ref-type="bibr" rid="BIBR-25">(Rodrigues et al., 2020)</xref>. In ruminants, suppression of gram-positive populations can favor the proliferation of gram-negative bacteria, thereby enhancing propionate synthesis in the rumen and improving overall animal performance <xref ref-type="bibr" rid="BIBR-22">(Moura et al., 2017)</xref>. Thyme (<italic>Thymus vulgaris</italic>) essential oil is primarily characterized by its active compound, thymol, which exhibits broad-spectrum antimicrobial properties by altering membrane permeability in both gram-positive and gram-negative bacteria <xref ref-type="bibr" rid="BIBR-27">(Shaaban et al., 2021)</xref>. According  to <xref ref-type="bibr" rid="BIBR-27">(Shaaban et al., 2021)</xref>, thymol supplementation modulates rumen fermentation by increasing volatile fatty acid (VFA) production while decreasing ruminal ammonia-N concentration.</p><p>Although copaiba and thyme essential oils have been evaluated individually in ruminants, to our knowledge, no study has directly compared both oils against monensin in the same <italic>in vivo</italic> sheep trial while integrating ruminal fermentation and methane responses with ingestive behavior, nitrogen metabolism, and infrared thermography. In this context, we hypothesized that copaiba and/or thyme essential oils can improve ruminal fermentation and reduce methane emissions, potentially matching or surpassing the effects of monensin in sheep. Therefore, this study aimed to evaluate the impact of these essential oils, compared with monensin, on nutrient intake, digestibility, nitrogen metabolism, ingestive behavior, infrared thermography, ruminal parameters, and estimated methane production.</p></sec><sec><title>MATERIALS AND METHODS</title><sec><title>Location</title><p>The study was conducted at the Laboratório de Zootecnia of the Universidade Estadual do Norte Fluminense Darcy Ribeiro (UENF) in Campos dos Goytacazes, Rio de Janeiro, Brazil (21º45’45”S, 41º17’06”W, 8 m above sea level). The region’s climate is classified as Aw, corresponding to a humid tropical climate, according to the Köppen-Geiger system. Research on animals was conducted in accordance with the Institutional Committee on Animal Use (protocol no. 503/2021).</p></sec><sec><title>Animals, Experimental Design, and Treatments</title><p>Four castrated Santa Inês (52.2 ± 3.1 kg and 2.6 years old) male sheep with rumen cannulas were randomly assigned to a 4 × 4 latin square design. The treatments were: basal diet without EO (CON); basal diet with 50 mg kg<sup>-1</sup> DM of monensin (MON); basal diet with 500 mg kg<sup>-1 </sup>DM of EO of <italic>Copaifera langsdorffii Desf</italic>. (copaiba, CO); and basal diet with 500 mg kg<sup>-1</sup> DM of EO of <italic>Thymus vulgaris</italic> (thyme, TM). Dose selection was based on studies investigating EOs as ruminal fermentation modulators (e.g., <xref rid="BIBR-16" ref-type="bibr">(Kolling et al., 2018)</xref>). The essential oils were purchased from a commercial supplier (FERQUIMA Essential Oils Industry, Brazil). Essential oils from copaiba and thyme were purchased commercially and extracted through steam distillation. The oil specifications are as follows: Copaiba, density (20 °C) = 0.88-0.91 (g mL<sup>-1</sup>), refractive index (20 °C) = 1.496-1.506, and the main component present is β-caryophyllene = 51%. Thyme, density (20 °C) = 0.90-0.94 (g mL<sup>-1</sup>), refractive index (20 °C) = 1.490-1.510, and the main components are thymol (50%), p-cymene (30%), and γ-terpinene (6%).</p><p>The animals were kept in separate metabolic cages equipped with feed troughs and had free access to water. Each experimental period lasted 22 days, including a 15-day adaptation phase and a 7-day collection phase. Animal weights were recorded on the first and 22nd days. The diet composition is presented in <xref ref-type="table" rid="table-5">Table 1</xref>.</p><table-wrap id="table-5" ignoredToc=""><label>Table 1</label><caption><p>Chemical composition of the feeds offered to sheep (g kg<sup>-1</sup> DM) (mean ± standard deviation)</p></caption><table frame="box" rules="all"><thead><tr><th colspan="1" valign="top" align="left">Item</th><th align="center" colspan="1" valign="top">Hay</th><th align="center" colspan="1" valign="top">Concentrate<sup>1</sup></th></tr></thead><tbody><tr><td colspan="1" valign="top" align="left">Dry matter (as-fed)</td><td align="center" colspan="1" valign="top">866.7 ± 7.11</td><td valign="top" align="center" colspan="1">839.6 ± 0.16</td></tr><tr><td align="left" colspan="1" valign="top">Organic matter </td><td valign="top" align="center" colspan="1">938.8 ±6.67</td><td valign="top" align="center" colspan="1">946.2 ± 0.47</td></tr><tr><td valign="top" align="left" colspan="1">Crude protein</td><td valign="top" align="center" colspan="1">44.4 ± 5.36</td><td align="center" colspan="1" valign="top">165.9 ± 14.04</td></tr><tr><td valign="top" align="left" colspan="1">Crude fat</td><td colspan="1" valign="top" align="center">38.7 ± 12.21</td><td valign="top" align="center" colspan="1">56.3 ± 1.55</td></tr><tr><td align="left" colspan="1" valign="top">Ash</td><td valign="top" align="center" colspan="1">61.2 ± 2.28</td><td valign="top" align="center" colspan="1">53.8 ± 0.63</td></tr><tr><td colspan="1" valign="top" align="left">Neutral detergent fiber</td><td align="center" colspan="1" valign="top">804.9 ± 23.72</td><td align="center" colspan="1" valign="top">475.7  ± 18.09</td></tr><tr><td valign="top" align="left" colspan="1">Acid detergent fiber</td><td valign="top" align="center" colspan="1">642 ± 34.15</td><td align="center" colspan="1" valign="top">217.8± 9.07</td></tr><tr><td valign="top" align="left" colspan="1">Lignin</td><td valign="top" align="center" colspan="1">200.8 ± 40.14</td><td colspan="1" valign="top" align="center">131 ± 20.64</td></tr><tr><td valign="top" align="left" colspan="1">Non-fiber carbohydrates</td><td align="center" colspan="1" valign="top">50.7 ± 37.51</td><td valign="top" align="center" colspan="1">302 ± 20.92</td></tr></tbody></table><table-wrap-foot><p>Note: ¹ The concentrate ingredients were: 74.9% cornmeal, 22.1% soybean meal, 1% urea, and 2% premix.</p></table-wrap-foot></table-wrap></sec><sec><title>Management, Nutrient Intake, and Apparent Digestibility</title><p>The animals were fed twice daily at 8:00 (a.m.) and 16:00 (p.m.). Before each feeding, the weights of the offered feed and orts were recorded. Feed and ort samples were collected over seven consecutive days to create a composite sample for each animal, which was subsequently stored for chemical analysis.</p><p>Nutrient intake was estimated by subtracting feed refusal from the total feed provided.</p><p><italic>Intake</italic><italic><sub>Nut </sub></italic><italic>(kg/d)= Offered</italic><italic><sub>Nut</sub></italic><italic> - Orts</italic><italic><sub>Nut</sub></italic>		                                                     Eq.1</p><p>In which <italic>Orts </italic>(kg/d) is the amount of daily orts.</p><p>The calculation of apparent nutrient digestibility was performed according to equation 2:</p><p><italic>Digestible</italic><italic><sub>Nut</sub></italic><italic> (g/kg)= Intake</italic><italic><sub>Nut</sub></italic><italic> - Fecal</italic><italic><sub>Nut</sub></italic>		                                             Eq.2</p></sec><sec><title>Urine, Feces, and Measurement of Purine Derivative Excretion</title><p>After a 14-day adaptation period, feces and urine were collected simultaneously for seven consecutive days, and a composite sample was subsequently prepared for each animal and treatment. Fecal samples were removed from collection bags every two hours, dried at 55 °C for 72 h, ground through a 1-mm Wiley mill (Tecnal, Piracicaba, São Paulo, Brazil), and stored for chemical analysis. Urine was collected in 5 L buckets with nylon filters and 100 mL of 20% sulfuric acid (v v<sup>-1</sup>). After 24 h, 10% of each bucket’s volume was sampled, transferred to PET bottles, and frozen at −18 °C.</p><p>Purine derivatives (allantoin and uric acid) were quantified following the methodology described by <xref rid="BIBR-5" ref-type="bibr">(Chen &amp; Gomes, 1992)</xref>. The amount of digestible organic matter fermented in the rumen (DOMR, kg day⁻¹) was estimated using:</p><p><italic>DOMR, kg⁄day= FI × DM × OM × dOM × 0.65</italic>	                                                 Eq.3</p><p><italic>FI</italic> represents the feed intake (kg day<sup>-1</sup>), <italic>OM</italic> refers to the organic matter content, and <italic>dOM</italic> denotes the digestible fraction of organic matter (kg day<sup>-1</sup>).</p><p>Purine absorption (Pabs, mmol day<sup>-1</sup>) was estimated based on the microbial nitrogen content (MN, g kg<sup>-1</sup>):</p><p><italic>Pabs= MN ⁄ 0.727			</italic>	                                                                                       Eq.4</p><p>The microbial nitrogen (MN) value was assumed to be 32 g kg⁻¹ of DOMR. The total excretion of purine derivatives (DPe, mmol day⁻¹) was then calculated using the following equation:</p><p><italic>DPe= 0.84 × Pabs + 2</italic>				                                                                                   Eq.5</p><p>For sheep, an endogenous purine derivative excretion of 2 mmol day⁻¹ was assumed, as proposed by <xref ref-type="bibr" rid="BIBR-5">(Chen &amp; Gomes, 1992)</xref>. Allantoin excretion (Ae, mmol day⁻¹) was considered to account for 85% of the total purine derivatives excreted (DPe), whereas uric acid excretion (UAe, mmol day⁻¹) represented the remaining 15%. The efficiency of microbial protein synthesis (EMPS) was subsequently estimated using the following equation:</p><p><italic>EMPS (g MN ⁄ kg TDN) = [(0.625 × Pabs) × 6.25] ⁄ TDNI  </italic>            				    Eq.6</p><p><italic>TDNI</italic> denotes the total digestible nutrient intake, and 0.625 corresponds to the proportion of purines absorbed, excluding the endogenous contribution.</p></sec><sec><title>Chemical Composition and Nitrogen Balance</title><p>Ground samples were analyzed for dry matter (DM; method 967.03), crude fat (CF; method 2003.06), crude protein (CP; N x 6.25, method 984.13), and ash (method 942.05), all methods described by <xref ref-type="bibr" rid="BIBR-1">(Association of Official Analytical Chemistry - AOAC, 2019)</xref>. Neutral detergent fiber was determined using sodium sulfite and two additions of a standardized heat-stable amylase solution, according to the method F-001/1 (aNDF). Acid detergent fiber (ADF, method F-003/1), with residual ash, and lignin (sa, method F-005/1), all methods described by <xref ref-type="bibr" rid="BIBR-6">(E. et al., 2012)</xref>. Non-fiber carbohydrate (NFC) content was estimated as <italic>NFC (g kg</italic><italic><sup>-1</sup></italic><italic>)= 1000-CP – CF – Ash – NDF.</italic></p><p>Urine samples were lyophilized, and urinary nitrogen (N) content was determined following the <xref ref-type="bibr" rid="BIBR-1">(Association of Official Analytical Chemistry - AOAC, 2019)</xref> method 984.13. </p><p>Nitrogen balance (NB) was calculated using equation 7.</p><p>NB (g d<sup>-1</sup>)= NI – UN – FN				                                                                        Eq.7</p><p>NI represents the nitrogen intake, UN refers to the urinary nitrogen, and FN denotes the fecal nitrogen.</p></sec><sec><title>Ingestive Behavior</title><p>Animal ingestive behavior was assessed on the sixth day of each experimental period (n = 4) over a continuous 24-hour period (06:00 to 06:00) at 10-minute observation intervals. Four observers were strategically positioned to minimize disturbance and systematically recorded behaviors, including eating, ruminating, drinking, and idling. Observers rotated hourly, and nocturnal observations were conducted under artificial illumination.</p><p>The efficiencies were determined according to the equations presented below:</p><p><italic>FE= NDFI ⁄ Eat 			</italic>	                                                                                        	 Eq.8</p><p><italic>RE= NDFI ⁄ Rum 	</italic>				                                                                                         Eq.9</p><p><italic>FE </italic>is the feeding efficiency based on neutral detergent fiber intake (g NDF min<sup>-1</sup>), while <italic>RE</italic> represents the rumination efficiency for neutral detergent fiber intake (g NDF min<sup>-1</sup>). </p></sec><sec><title>Infrared Thermography</title><p>Infrared thermography was performed on the fourth day of data collection for each experimental phase (n = 4). Environmental temperature (T) and relative humidity (RH) were monitored at 30-minute intervals using a data logger (Exbom FEPRO-MULT6600S). The temperature-humidity index (THI) was computed using Equation 10, where T indicates the dry-bulb temperature (°C), and RH is the relative humidity (%).</p><p><italic>THI= T - [(0.31 - 0.0031 × RH) × (T - 14.1)] </italic>                                                       Eq.10</p><p>Thermal imaging was performed at 12h00 using a FLIR T1050sc infrared camera (FLIR Systems Inc., Wilsonville, OR, USA), which has a thermal sensitivity below 20 mK and operates within a temperature range of 40 °C to 200 °C. The device accuracy was ±2 °C or ±2% of the recorded value at 25 °C, up to 1200 °C, with an emissivity of 0.985. During image acquisition, sheep were kept standing and photographed at approximately 0.5 m, as described by <xref ref-type="bibr" rid="BIBR-13">(Joy et al., 2022)</xref>. Images were processed in FLIR ResearchIR Max software (FLIR Systems, 2015) to extract skin temperature data from the eye, paws, and rumen regions. In addition, rectal temperature was measured using a digital veterinary thermometer (model Incoterm T-DIV-0132.00, Tecno Ferramentas, São Paulo, Brazil) immediately after thermographic image acquisition.</p></sec><sec><title>Ruminal Variables</title><p>Rumen fluid was sampled on the second day of each data collection period to assess pH, ammonia nitrogen (NH₃-N), and volatile fatty acid (VFA) concentrations (acetate, propionate, and butyrate). Samples were collected at 0, 1, 2, 4, 6, and 8 h post-feeding. The pH was measured immediately after collection using a digital potentiometer (MPA-210, Tecnopon, Brazil). Subsequently, a subsample was acidified with 25% (v v⁻¹) metaphosphoric acid (1 mL acid per 5 mL rumen fluid), transferred to 3 mL plastic vials, and stored at −18 °C pending VFA analysis. Volatile fatty acids were quantified by high-performance liquid chromatography (HPLC; YL9100, Young Lin) equipped with a REZEX RCM-Monosaccharide Ca²⁺ (8%) column. Calibration curves ranged from 0.5 to 1 g L⁻¹ for acetic and butyric acids and from 1 to 2 g L⁻¹ for propionic acid. A second aliquot was acidified with 0.036 N sulfuric acid for the determination of NH₃-N by distillation with potassium hydroxide, following the procedure described by <xref ref-type="bibr" rid="BIBR-8">(Fenner, 1965)</xref>.</p></sec><sec><title>Stoichiometric Calculations</title><p>Theoretical gas production (CO₂ and CH₄) was estimated by stoichiometric calculations based on the molar proportions of volatile fatty acids (VFAs). It was assumed that glucose equivalents were fermented to acetic (HAc), propionic (HPr), and butyric (HBu) acids, accompanied by the release of CO₂ and CH₄. The estimation was performed using the following stoichiometric equations:</p><p><italic>CO</italic><italic><sub>2</sub></italic><italic>= HAc ⁄2 + Hpr ⁄ 4 + 3HBu ⁄ 2     </italic>                                   Eq.11                                                 </p><p><italic>CH</italic><italic><sub>4</sub></italic><italic>= HAc + 2HBu - CO</italic><italic><sub>2 </sub></italic>  		                                              Eq.12</p><p>Although scientifically grounded, this approach should be interpreted as a theoretical estimate of methanogenic potential rather than a direct measurement of actual methane emissions.</p></sec><sec><title>Statistical Analysis</title><p>Data were initially examined through exploratory analyses to detect and exclude outliers and to verify compliance with the assumptions of analysis of variance, including linearity, homoscedasticity, and normality of residuals. Mean comparisons were performed using Tukey’s test at a significance level of 0.05, employing the MIXED procedure in SAS (SAS University Edition, SAS Institute Inc., Cary, NC, USA). Statistical trends were discussed when 0.05 &lt;<italic> p</italic> ≤ 0.10. The following statistical model was used:</p><p>Y<sub>ijk</sub>= μ + α<sub>i</sub> + s<sub>k</sub> + β<sub>j</sub> + (αβ)<sub>ij</sub> + e<sub>ijk</sub></p><p>where Y<sub>ijk</sub> is the observation related to the <italic>k-th</italic> sheep receiving the <italic>i-th</italic> treatment in the <italic>j-th </italic>period; μ is the overall mean;<italic> α</italic><italic><sub>i</sub></italic> is the effect of the treatment (i = 1,2,3,4); <italic>β</italic><sub>j </sub>is the experimental period effect; (<italic>αβ</italic>)<sub>ij </sub>is the treatment × experimental period interaction; s<sub>k</sub> is the effect of the sheep (random); and e<sub>ijk</sub> is the random error.</p></sec></sec><sec><title>RESULTS</title><p>There was an interaction between treatment and experimental period (p&lt;0.05) for DM, CP, and CF intake <xref ref-type="table" rid="table-1">(Table 2</xref>). The inclusion of additives (MON, CO, and TM) in the sheep’s diet increased dry matter intake (p&lt;0.001) (Table 2). The TM increased CP intake, whereas MON decreased it (p=0.02). The CF intake showed a similar pattern (p = 0.02), mirroring the positive effect of TM on CP intake. The other variables were not influenced by the addition of the additives (p≥0.05) (<xref ref-type="table" rid="table-1">Table 2</xref>). Regarding nutrient digestibility, only the digestibility coefficient of crude protein (dcCP) was influenced by treatment (p=0.03). Specifically, CO increased dcCP by approximately 14.46% compared to the control group (CON) (<xref rid="table-1" ref-type="table">Table 2</xref>).</p><p>There was no interaction between treatment and experimental period (p≥0.05) for urinary excretion of purine derivatives and microbial efficiency (<xref ref-type="table" rid="table-2">Table 3</xref>). The additives increased DOMR (p=0.05) compared to CON, with MON and TM being more efficient (<xref rid="table-2" ref-type="table">Table 3</xref>). Similar patterns were observed in microbial nitrogen (MN) and microbial protein synthesis (p&lt;0.05). However, the additives increased Uae (p=0.04) compared to CON (<xref ref-type="table" rid="table-2">Table 3</xref>).</p><p>There was only an interaction between treatment and experimental period in the NI (p=0.03) (<xref rid="table-3" ref-type="table">Table 4</xref>). The CO showed better NB (p=0.01) than the other treatments <xref ref-type="table" rid="table-3">(Table 4)</xref>. Although MON had lower NI than TM (p=0.03), urinary nitrogen loss was 0.23 g day-1 smaller in CO than in MON (p=0.04) <xref ref-type="table" rid="table-3">(Table 4)</xref>.</p><p>When evaluating ingestive behavior, we did not observe any interaction between treatment and period (p≥0.05) (<xref ref-type="table" rid="table-4">Table 5</xref>). However, Rum was affected by treatments (p=0.01), with TM-treated sheep exhibiting the longest rumination duration, whereas MON resulted in the shortest rumination period (<xref ref-type="table" rid="table-4">Table 5</xref>). No differences (p≥0.05) were observed in the other behavioral parameters (<xref ref-type="table" rid="table-4">Table 5</xref>).</p><table-wrap id="table-1" ignoredToc=""><label>Table 2</label><caption><p>Nutrient intake and digestibility in sheep fed diets containing copaiba and thyme essential oils or monensin</p></caption><table frame="box" rules="all"><thead><tr><th rowspan="2" valign="middle" align="left" colspan="1">Variables</th><th valign="top" align="center" colspan="4">Treatments</th><th rowspan="2" valign="middle" align="center" colspan="1">SEM</th><th align="center" colspan="3" valign="top">P-values</th></tr><tr><th valign="middle" align="center" colspan="1">CON</th><th valign="middle" align="center" colspan="1">MON</th><th valign="middle" align="center" colspan="1">CO</th><th valign="middle" align="center" colspan="1">TM</th><th valign="middle" align="center" colspan="1">P</th><th valign="middle" align="center" colspan="1">Treat</th><th align="center" colspan="1" valign="middle">P x Treat</th></tr></thead><tbody><tr><td valign="top" align="left" colspan="9">Intake</td></tr><tr><td valign="top" align="left" colspan="1">DM, kg day <sup>-1</sup></td><td valign="top" align="center" colspan="1">1.31ᵇ</td><td valign="top" align="center" colspan="1">1.38ᵃ</td><td align="center" colspan="1" valign="top">1.37ᵃ</td><td valign="top" align="center" colspan="1">1.38ᵃ</td><td align="center" colspan="1" valign="top">0.01</td><td align="center" colspan="1" valign="top">&lt;.001</td><td valign="top" align="center" colspan="1">&lt;.001</td><td align="center" colspan="1" valign="top">&lt;.001</td></tr><tr><td align="left" colspan="1" valign="top">OM, g day<sup> -1</sup></td><td valign="top" align="center" colspan="1">804.3</td><td valign="top" align="center" colspan="1">731.6</td><td align="center" colspan="1" valign="top">767.2</td><td valign="top" align="center" colspan="1">799.1</td><td valign="top" align="center" colspan="1">11.36</td><td valign="top" align="center" colspan="1">0.17</td><td valign="top" align="center" colspan="1">0.78</td><td valign="top" align="center" colspan="1">0.39</td></tr><tr><td valign="top" align="left" colspan="1">CP, g day<sup>-1</sup></td><td valign="top" align="center" colspan="1">71.2 ab</td><td align="center" colspan="1" valign="top">69.5ᵇ</td><td colspan="1" valign="top" align="center">70.4<sup> ab</sup></td><td valign="top" align="center" colspan="1">73.0ᵃ</td><td align="center" colspan="1" valign="top">0.76</td><td valign="top" align="center" colspan="1">0.02</td><td align="center" colspan="1" valign="top">0.03</td><td valign="top" align="center" colspan="1">0.03</td></tr><tr><td valign="top" align="left" colspan="1">CF, g day <sup>-1</sup></td><td colspan="1" valign="top" align="center">34.2ᵇ</td><td align="center" colspan="1" valign="top">32.2ᵇ</td><td valign="top" align="center" colspan="1">32.8ᵇ</td><td align="center" colspan="1" valign="top">36.8ᵃ</td><td valign="top" align="center" colspan="1">1.37</td><td valign="top" align="center" colspan="1">0.02</td><td valign="top" align="center" colspan="1">0.03</td><td valign="top" align="center" colspan="1">0.01</td></tr><tr><td align="left" colspan="1" valign="top">Ash, g day <sup>-1</sup></td><td align="center" colspan="1" valign="top">58.0</td><td align="center" colspan="1" valign="top">49.3</td><td colspan="1" valign="top" align="center">53.1</td><td align="center" colspan="1" valign="top">55.2</td><td valign="top" align="center" colspan="1">1.09</td><td valign="top" align="center" colspan="1">0.69</td><td align="center" colspan="1" valign="top">0.26</td><td align="center" colspan="1" valign="top">0.11</td></tr><tr><td valign="top" align="left" colspan="1">NDF, g day <sup>-1</sup></td><td valign="top" align="center" colspan="1">610.3</td><td valign="top" align="center" colspan="1">497.0</td><td align="center" colspan="1" valign="top">564.8</td><td valign="top" align="center" colspan="1">585.3</td><td align="center" colspan="1" valign="top">11.61</td><td colspan="1" valign="top" align="center">0.62</td><td align="center" colspan="1" valign="top">0.41</td><td align="center" colspan="1" valign="top">0.34</td></tr><tr><td colspan="1" valign="top" align="left">LIG, g day<sup> -1</sup></td><td valign="top" align="center" colspan="1">218.7</td><td align="center" colspan="1" valign="top">208.9</td><td align="center" colspan="1" valign="top">202.1</td><td align="center" colspan="1" valign="top">221.7</td><td valign="top" align="center" colspan="1">4.02</td><td valign="top" align="center" colspan="1">0.81</td><td align="center" colspan="1" valign="top">0.47</td><td valign="top" align="center" colspan="1">0.11</td></tr><tr><td valign="top" align="left" colspan="1">NFC, g day <sup>-1</sup></td><td align="center" colspan="1" valign="top">153.2</td><td align="center" colspan="1" valign="top">153.5</td><td align="center" colspan="1" valign="top">141.9</td><td align="center" colspan="1" valign="top">153.4</td><td align="center" colspan="1" valign="top">4.78</td><td colspan="1" valign="top" align="center">0.16</td><td valign="top" align="center" colspan="1">0.39</td><td valign="top" align="center" colspan="1">0.32</td></tr><tr><td valign="top" align="left" colspan="9">Apparent digestibility coefficients</td></tr><tr><td valign="top" align="left" colspan="1">dcOM, g kg <sup>-1</sup></td><td valign="top" align="center" colspan="1">441.6</td><td valign="top" align="center" colspan="1">394.5</td><td colspan="1" valign="top" align="center">410.9</td><td valign="top" align="center" colspan="1">422.0</td><td valign="top" align="center" colspan="1">13.01</td><td align="center" colspan="1" valign="top">0.20</td><td valign="top" align="center" colspan="1">0.58</td><td valign="top" align="center" colspan="1">0.28</td></tr><tr><td valign="top" align="left" colspan="1">dcCP, g kg<sup>-1</sup></td><td valign="top" align="center" colspan="1">272.2ᵇ</td><td colspan="1" valign="top" align="center">293.7ᵇ</td><td valign="top" align="center" colspan="1">318.4ᵃ</td><td colspan="1" valign="top" align="center">301.8 <sup>ab</sup></td><td valign="top" align="center" colspan="1">0.96</td><td align="center" colspan="1" valign="top">0.02</td><td valign="top" align="center" colspan="1">0.03</td><td valign="top" align="center" colspan="1">0.56</td></tr><tr><td valign="top" align="left" colspan="1">dcCF, g kg <sup>-1</sup></td><td colspan="1" valign="top" align="center">301.8</td><td valign="top" align="center" colspan="1">271.5</td><td colspan="1" valign="top" align="center">291.3</td><td align="center" colspan="1" valign="top">297.4</td><td valign="top" align="center" colspan="1">2.77</td><td valign="top" align="center" colspan="1">0.66</td><td valign="top" align="center" colspan="1">0.38</td><td align="center" colspan="1" valign="top">0.68</td></tr><tr><td colspan="1" valign="top" align="left">dcNDF, g kg <sup>-1</sup></td><td valign="top" align="center" colspan="1">221.7</td><td valign="top" align="center" colspan="1">146.6</td><td align="center" colspan="1" valign="top">204.1</td><td valign="top" align="center" colspan="1">191.1</td><td colspan="1" valign="top" align="center">15.70</td><td valign="top" align="center" colspan="1">0.55</td><td align="center" colspan="1" valign="top">0.73</td><td align="center" colspan="1" valign="top">0.43</td></tr><tr><td valign="top" align="left" colspan="1">dcNFC, g kg <sup>-1</sup></td><td valign="top" align="center" colspan="1">118.3</td><td valign="top" align="center" colspan="1">122.1</td><td valign="top" align="center" colspan="1">121.4</td><td align="center" colspan="1" valign="top">116.4</td><td valign="top" align="center" colspan="1">7.22</td><td valign="top" align="center" colspan="1">0.16</td><td colspan="1" valign="top" align="center">0.42</td><td valign="top" align="center" colspan="1">0.22</td></tr><tr><td align="left" colspan="1" valign="top">DE MJ kg<sup> -1</sup> DM</td><td align="center" colspan="1" valign="top">7.1</td><td align="center" colspan="1" valign="top">5.7</td><td colspan="1" valign="top" align="center">6.7</td><td colspan="1" valign="top" align="center">6.6</td><td align="center" colspan="1" valign="top">0.29</td><td valign="top" align="center" colspan="1">0.29</td><td valign="top" align="center" colspan="1">0.80</td><td align="center" colspan="1" valign="top">0.67</td></tr><tr><td valign="top" align="left" colspan="1">ME MJ kg<sup> -1</sup> DM</td><td valign="top" align="center" colspan="1">5.8</td><td valign="top" align="center" colspan="1">4.7</td><td align="center" colspan="1" valign="top">5.5</td><td align="center" colspan="1" valign="top">5.4</td><td align="center" colspan="1" valign="top">0.23</td><td valign="top" align="center" colspan="1">0.25</td><td align="center" colspan="1" valign="top">0.78</td><td valign="top" align="center" colspan="1">0.63</td></tr></tbody></table><table-wrap-foot><p>Note: CON = control; MON = monensin; CO = copaiba; TM = thyme. SEM = standard error of the mean; P = period; Treat = treatment; P x Treat = interaction between period and treatment. DM = dry matter; OM = organic matter; CP = crude protein; CF = crude fat; NDF = neutral detergent fiber; LIG = lignin; NFC = non-fiber carbohydrates; dcOM = digestibility coefficient of organic matter; dcCP = digestibility coefficient of crude protein; dcCF = digestibility coefficient of crude fat; dcNDF = digestibility coefficient of neutral detergent fiber; dcNFC = digestibility coefficient of non-fiber carbohydrates; DE = digestible energy; and ME = metabolizable energy. Means followed by different letters within a line differ significantly according to the Tukey test (p&lt;0.05).</p></table-wrap-foot></table-wrap><table-wrap id="table-2" ignoredToc=""><label>Table 3</label><caption><p>Urinary excretion of purine derivatives and microbial efficiency in sheep fed diets containing copaiba and thyme essential oils or monensin</p></caption><table frame="box" rules="all"><thead><tr><th rowspan="2" valign="middle" align="left" colspan="1">Variables</th><th valign="top" align="center" colspan="4">Treatments</th><th rowspan="2" valign="middle" align="center" colspan="1">SEM</th><th valign="top" align="center" colspan="3">P-values</th></tr><tr><th valign="middle" align="center" colspan="1">CON</th><th valign="middle" align="center" colspan="1">MON</th><th valign="middle" align="center" colspan="1">CO</th><th align="center" colspan="1" valign="middle">TM</th><th valign="middle" align="center" colspan="1">P</th><th valign="middle" align="center" colspan="1">Treat</th><th align="center" colspan="1" valign="middle">P x Treat</th></tr></thead><tbody><tr><td valign="top" align="left" colspan="1">DOMR</td><td valign="top" align="center" colspan="1">0.49c</td><td valign="top" align="center" colspan="1">0.54ᵃ</td><td align="center" colspan="1" valign="top">0.52ᵇ</td><td align="center" colspan="1" valign="top">0.53 <sup>ab</sup></td><td align="center" colspan="1" valign="top">0.011</td><td align="center" colspan="1" valign="top">0.22</td><td valign="top" align="center" colspan="1">0.05</td><td valign="top" align="center" colspan="1">0.07</td></tr><tr><td align="left" colspan="1" valign="top">MN</td><td align="center" colspan="1" valign="top">15.84<sup>c</sup></td><td align="center" colspan="1" valign="top">17.20ᵃ</td><td align="center" colspan="1" valign="top">16.65ᵇ</td><td valign="top" align="center" colspan="1">16.83 <sup>ab</sup></td><td valign="top" align="center" colspan="1">0.361</td><td valign="top" align="center" colspan="1">0.07</td><td valign="top" align="center" colspan="1">0.01</td><td valign="top" align="center" colspan="1">0.44</td></tr><tr><td valign="top" align="left" colspan="1">Pabs</td><td colspan="1" valign="top" align="center">21.78</td><td valign="top" align="center" colspan="1">23.65</td><td valign="top" align="center" colspan="1">22.90</td><td valign="top" align="center" colspan="1">23.15</td><td valign="top" align="center" colspan="1">0.497</td><td align="center" colspan="1" valign="top">0.14</td><td valign="top" align="center" colspan="1">0.07</td><td valign="top" align="center" colspan="1">0.56</td></tr><tr><td valign="top" align="left" colspan="1">Pde</td><td align="center" colspan="1" valign="top">20.30</td><td valign="top" align="center" colspan="1">21.87</td><td align="center" colspan="1" valign="top">21.24</td><td valign="top" align="center" colspan="1">21.44</td><td valign="top" align="center" colspan="1">0.417</td><td align="center" colspan="1" valign="top">0.19</td><td valign="top" align="center" colspan="1">0.07</td><td colspan="1" valign="top" align="center">0.42</td></tr><tr><td colspan="1" valign="top" align="left">Ae</td><td colspan="1" valign="top" align="center">17.25</td><td valign="top" align="center" colspan="1">18.59</td><td valign="top" align="center" colspan="1">18.05</td><td colspan="1" valign="top" align="center">18.23</td><td valign="top" align="center" colspan="1">0.355</td><td align="center" colspan="1" valign="top">0.21</td><td align="center" colspan="1" valign="top">0.07</td><td colspan="1" valign="top" align="center">0.58</td></tr><tr><td valign="top" align="left" colspan="1">Uae</td><td valign="top" align="center" colspan="1">3.04<sup>c</sup></td><td valign="top" align="center" colspan="1">3.28ᵃ</td><td valign="top" align="center" colspan="1">3.19ᵇ</td><td valign="top" align="center" colspan="1">3.22 <sup>ab</sup></td><td valign="top" align="center" colspan="1">0.063</td><td align="center" colspan="1" valign="top">0.74</td><td valign="top" align="center" colspan="1">0.04</td><td align="center" colspan="1" valign="top">0.85</td></tr><tr><td colspan="1" valign="top" align="left">EMPS</td><td colspan="1" valign="top" align="center">12.10<sup>c</sup></td><td colspan="1" valign="top" align="center">16.50ᵃ</td><td align="center" colspan="1" valign="top">14.71ᵇ</td><td valign="top" align="center" colspan="1">13.84 <sup>ab</sup></td><td align="center" colspan="1" valign="top">0.558</td><td align="center" colspan="1" valign="top">0.96</td><td valign="top" align="center" colspan="1">0.03</td><td align="center" colspan="1" valign="top">0.79</td></tr></tbody></table><table-wrap-foot><p>Note: 	CON = control; MON = monensin; CO = copaiba; TM = thyme. SEM = standard error of the mean; P = period; Treat = treatment; P x Treat = interaction between period and treatment. DOMR = digestible organic matter fermented in the rumen; MN = microbial nitrogen, expressed as g day-1. Pabs = purine absorption, PDe = purine derivatives excretion, Ae = allantoin excretion; and Uae = uric acid excretion, all expressed as mmol day-1. EMPS = efficiency of microbial protein synthesis expressed as g MN-1/g TDN. Means followed by different letters within a line differ significantly according to the Tukey test (p&lt;0.05).</p></table-wrap-foot></table-wrap><table-wrap id="table-3" ignoredToc=""><label>Table 4</label><caption><p>Nitrogen balance in sheep fed diets containing copaiba and thyme essential oils or monensin</p></caption><table frame="box" rules="all"><thead><tr><th align="left" colspan="1" rowspan="2" valign="middle">Variables</th><th align="center" colspan="4" valign="middle">Treatments</th><th align="center" colspan="1" rowspan="2" valign="middle">SEM</th><th valign="top" align="center" colspan="3">P-values</th></tr><tr><th valign="middle" align="center" colspan="1">CON</th><th colspan="1" valign="middle" align="center">MON</th><th align="center" colspan="1" valign="middle">CO</th><th colspan="1" valign="middle" align="center">TM</th><th colspan="1" valign="middle" align="center">P</th><th valign="middle" align="center" colspan="1">Treat</th><th align="center" colspan="1" valign="middle">P x Treat</th></tr></thead><tbody><tr><td align="left" colspan="1" valign="top">NI, g day <sup>-1</sup></td><td valign="top" align="center" colspan="1">11.40 <sup>ab</sup></td><td colspan="1" valign="top" align="center">11.07ᵇ</td><td align="center" colspan="1" valign="top">11.26 <sup>ab</sup></td><td align="center" colspan="1" valign="top">11.68ᵃ</td><td valign="top" align="center" colspan="1">0.296</td><td valign="top" align="center" colspan="1">0.02</td><td align="center" colspan="1" valign="top">0.03</td><td colspan="1" valign="top" align="center">0.03</td></tr><tr><td colspan="1" valign="top" align="left">NF, g day <sup>-1</sup></td><td align="center" colspan="1" valign="top">5.72</td><td align="center" colspan="1" valign="top">4.68</td><td valign="top" align="center" colspan="1">4.33</td><td valign="top" align="center" colspan="1">5.10</td><td align="center" colspan="1" valign="top">0.445</td><td align="center" colspan="1" valign="top">0.38</td><td valign="top" align="center" colspan="1">0.14</td><td valign="top" align="center" colspan="1">0.22</td></tr><tr><td colspan="1" valign="top" align="left">NU, g day <sup>-1</sup></td><td valign="top" align="center" colspan="1">1.02ᵃ</td><td valign="top" align="center" colspan="1">0.71ᵇ</td><td valign="top" align="center" colspan="1">0.48c</td><td valign="top" align="center" colspan="1">0.66ᵇ</td><td valign="top" align="center" colspan="1">0.075</td><td align="center" colspan="1" valign="top">0.72</td><td valign="top" align="center" colspan="1">0.04</td><td valign="top" align="center" colspan="1">0.18</td></tr><tr><td align="left" colspan="1" valign="top">NB, g day<sup> -1</sup></td><td colspan="1" valign="top" align="center">4.67c</td><td colspan="1" valign="top" align="center">5.74ᵇ</td><td align="center" colspan="1" valign="top">6.45ᵃ</td><td colspan="1" valign="top" align="center">5.93ᵇ</td><td valign="top" align="center" colspan="1">0.248</td><td align="center" colspan="1" valign="top">0.61</td><td valign="top" align="center" colspan="1">0.01</td><td valign="top" align="center" colspan="1">0.11</td></tr></tbody></table><table-wrap-foot><p>Note: CON = control; MON = monensin; CO = copaiba; TM = thyme. SEM = standard error of the mean; P = period; Treat = treatment; P x Treat = interaction between period and treatment. NI = nitrogen intake; NF = nitrogen in feces; NU = nitrogen in urine; and NB = nitrogen balance. Means followed by different letters within a line differ significantly according to the Tukey test (p&lt;0.05).</p></table-wrap-foot></table-wrap><table-wrap id="table-4" ignoredToc=""><label>Table 5</label><caption><p> Ingestive behavior  in sheep fed diets containing copaiba and thyme essential oils or monensin</p></caption><table rules="all" frame="box"><thead><tr><th rowspan="2" valign="middle" align="left" colspan="1">Variables</th><th valign="top" align="center" colspan="4">Treatments</th><th align="center" colspan="1" rowspan="2" valign="middle">SEM</th><th valign="top" align="center" colspan="3">P-values</th></tr><tr><th align="center" colspan="1" valign="middle">CON</th><th align="center" colspan="1" valign="middle">MON</th><th colspan="1" valign="middle" align="center">CO</th><th align="center" colspan="1" valign="middle">TM</th><th align="center" colspan="1" valign="middle">P</th><th align="center" colspan="1" valign="middle">Treat</th><th align="center" colspan="1" valign="middle">P x Treat</th></tr></thead><tbody><tr><td colspan="1" valign="top" align="left">Eat, min day <sup>-1</sup></td><td align="center" colspan="1" valign="top">273</td><td valign="top" align="center" colspan="1">275</td><td valign="top" align="center" colspan="1">300</td><td valign="top" align="center" colspan="1">298</td><td align="center" colspan="1" valign="top">25</td><td align="center" colspan="1" valign="top">0.29</td><td colspan="1" valign="top" align="center">0.91</td><td valign="top" align="center" colspan="1">0.33</td></tr><tr><td valign="top" align="left" colspan="1">Rum, min day <sup>-1</sup></td><td valign="top" align="center" colspan="1">497ᵇ</td><td valign="top" align="center" colspan="1">440<sup>c</sup></td><td valign="top" align="center" colspan="1">493ᵇ</td><td align="center" colspan="1" valign="top">538ᵃ</td><td valign="top" align="center" colspan="1">15</td><td valign="top" align="center" colspan="1">0.07</td><td align="center" colspan="1" valign="top">0.01</td><td align="center" colspan="1" valign="top">0.27</td></tr><tr><td align="left" colspan="1" valign="top">Id, min day <sup>-1</sup></td><td align="center" colspan="1" valign="top">680</td><td colspan="1" valign="top" align="center">735</td><td valign="top" align="center" colspan="1">650</td><td valign="top" align="center" colspan="1">610</td><td align="center" colspan="1" valign="top">17</td><td valign="top" align="center" colspan="1">0.16</td><td valign="top" align="center" colspan="1">0.11</td><td valign="top" align="center" colspan="1">0.25</td></tr><tr><td align="left" colspan="1" valign="top">FE, g NDF min <sup>-1</sup></td><td valign="top" align="center" colspan="1">0.23</td><td align="center" colspan="1" valign="top">0.17</td><td valign="top" align="center" colspan="1">0.19</td><td align="center" colspan="1" valign="top">0.21</td><td align="center" colspan="1" valign="top">0.10</td><td align="center" colspan="1" valign="top">0.20</td><td valign="top" align="center" colspan="1">0.85</td><td align="center" colspan="1" valign="top">0.72</td></tr><tr><td align="left" colspan="1" valign="top">RE, g NDF min <sup>-1</sup></td><td colspan="1" valign="top" align="center">0.14</td><td valign="top" align="center" colspan="1">0.10</td><td align="center" colspan="1" valign="top">0.11</td><td valign="top" align="center" colspan="1">0.12</td><td valign="top" align="center" colspan="1">0.05</td><td valign="top" align="center" colspan="1">0.59</td><td valign="top" align="center" colspan="1">0.11</td><td valign="top" align="center" colspan="1">0.51</td></tr></tbody></table><table-wrap-foot><p>Note: CON = control; MON = monensin; CO = copaiba; TM = thyme. SEM = standard error of the mean; P = period; Treat = treatment; P x Treat = interaction between period and treatment. Eat = eating; Rum = ruminating; Id = idling; FE = feed efficiency; and RE = rumination efficiency. Means followed by different letters within a line differ significantly according to the Tukey test (p&lt;0.05).</p></table-wrap-foot></table-wrap><p>There was no interaction between treatment and period (p≥0.05) on infrared thermography (<xref rid="table-6" ref-type="table">Table 6</xref>). MON reduced rumen temperature (p=0.04); however, although it also reduced the cannon region temperature (p&lt;0.001), the essential oils CO and TM also reduced cannon temperature (<xref ref-type="table" rid="table-6">Table 6</xref>).</p><p>The additives influenced (p&lt;0.05) the ruminal parameters (<xref rid="figure-1" ref-type="fig">Figure 1</xref>). MON prevented the reduction in pH (p=0.002) during the post-feeding hours, whereas CO and TM were not effective in preventing the pH drop (<xref ref-type="fig" rid="figure-1">Figure 1a</xref>), which increased the redox potential (p=0.012) (Figure 1b). NH3-N content increased (p=0.002) with the use of CO (<xref rid="figure-1" ref-type="fig">Figure 1c</xref>). Regarding VFA, the additives did not influence propionic (p=0.368) and butyric (p=0.709) acids. However, MON reduced acetic acid concentrations (p&lt;0.001) and, consequently, estimated methane production (p&lt;0.001) (<xref ref-type="fig" rid="figure-1">Figures 1d and e</xref>). Despite this, CO also reduced methane emissions compared to TM and CON (<xref ref-type="fig" rid="figure-1">Figures 1d and e</xref>).</p><table-wrap id="table-6" ignoredToc=""><label>Table 6</label><caption><p>. Infrared thermography in sheep fed diets containing copaiba and thyme essential oils or monensin</p></caption><table frame="box" rules="all"><thead><tr><th scope="col" rowspan="2" valign="top" align="left" colspan="1">Variables</th><th scope="col" valign="top" align="left" colspan="4">Treatments</th><th scope="col" rowspan="2" valign="top" align="left" colspan="1">SEM</th><th scope="col" align="left" colspan="3" valign="top">P-values</th></tr></thead><tr><td valign="top" align="left" colspan="1">CON</td><td align="left" colspan="1" valign="top">MON</td><td align="left" colspan="1" valign="top">CO</td><td valign="top" align="left" colspan="1">TM</td><td valign="top" align="left" colspan="1">P</td><td valign="top" align="left" colspan="1">Treat</td><td valign="top" align="left" colspan="1">P x Treat</td></tr><tr><td align="left" colspan="1" valign="top">Rumen, °C</td><td align="left" colspan="1" valign="bottom">32.2a</td><td colspan="1" valign="bottom" align="left">30.7b</td><td align="left" colspan="1" valign="bottom">32.2a</td><td align="left" colspan="1" valign="bottom">31.8a</td><td valign="bottom" align="left" colspan="1">0.4</td><td align="left" colspan="1" valign="bottom">0.08</td><td valign="bottom" align="left" colspan="1">0.04</td><td align="left" colspan="1" valign="bottom">0.10</td></tr><tr><td valign="top" align="left" colspan="1">Eyes, °C</td><td align="left" colspan="1" valign="bottom">34.7</td><td align="left" colspan="1" valign="bottom">34.9</td><td valign="bottom" align="left" colspan="1">35.5</td><td valign="bottom" align="left" colspan="1">35.2</td><td align="left" colspan="1" valign="bottom">0.6</td><td valign="bottom" align="left" colspan="1">0.19</td><td align="left" colspan="1" valign="bottom">0.40</td><td valign="bottom" align="left" colspan="1">0.21</td></tr><tr><td align="left" colspan="1" valign="top">Paws, °C</td><td align="left" colspan="1" valign="bottom">29.0a</td><td colspan="1" valign="bottom" align="left">25.7c</td><td valign="bottom" align="left" colspan="1">26.6b</td><td valign="bottom" align="left" colspan="1">27.0b</td><td align="left" colspan="1" valign="bottom">0.8</td><td valign="bottom" align="left" colspan="1">0.07</td><td align="left" colspan="1" valign="bottom">&lt;.001</td><td colspan="1" valign="bottom" align="left">0.09</td></tr><tr><td valign="top" align="left" colspan="1">Rectum, °C</td><td align="left" colspan="1" valign="bottom">38.2</td><td valign="bottom" align="left" colspan="1">38.2</td><td valign="bottom" align="left" colspan="1">38.3</td><td align="left" colspan="1" valign="bottom">38.0</td><td valign="bottom" align="left" colspan="1">0.1</td><td valign="bottom" align="left" colspan="1">0.40</td><td align="left" colspan="1" valign="bottom">0.33</td><td align="left" colspan="1" valign="bottom">0.84</td></tr></table><table-wrap-foot><p>Note: CON = control; MON = monensin; CO = copaiba; TM = thyme. SEM = standard error of the mean; P = period; Treat = treatment; P x Treat = interaction between period and treatment. Means followed by different letters within a line differ significantly according to the Tukey test (p&lt;0.05).</p></table-wrap-foot></table-wrap><fig id="figure-1" ignoredToc=""><label>Figure 1</label><caption><p>Ruminal variables in sheep fed diets containing copaiba and thyme essential oils or monensin:</p></caption><p> (a) pH, (b) redox potential, (c) ammonia nitrogen (NH<sub>3</sub>-N), (d) acetic acid, and (e) estimated methane production. Treatments are represented as follows: Control (CON, [□]), Monensin (MON, []), Essential oil of copaiba (CO, []), and Essential oil of thyme (TM, [×])</p><graphic xlink:href="https://journal.ipb.ac.id/tasj/article/download/73082/version/53578/34455/420151" mime-subtype="jpg" mimetype="image"><alt-text>Image</alt-text></graphic></fig></sec><sec><title>DISCUSSION</title><p>The increased DMI in sheep resulting from the additives can be explained by the mechanisms of these compounds. Although the literature indicates that MON and CO typically improve feed efficiency by shifting fermentation toward propionate production, a more energetically efficient pathway for ruminants <xref ref-type="bibr" rid="BIBR-32">(Zhang et al., 2022)</xref>, this specific VFA shift was not observed in the present study. MON primarily affects DMI by modulating ruminal fermentation, enhancing digestion and nutrient absorption, and stimulating feed intake <xref ref-type="bibr" rid="BIBR-19">(Luo et al., 2024)</xref>. In contrast, EOs act more broadly by promoting changes in the ruminal microbiota and possessing appetite-stimulating properties <xref ref-type="bibr" rid="BIBR-22">(Moura et al., 2017)</xref>; <xref ref-type="bibr" rid="BIBR-19">(Luo et al., 2024)</xref>. <xref ref-type="bibr" rid="BIBR-27">(Shaaban et al., 2021)</xref>, who also investigated the effects of TM in sheep, noted that the presence of bioactive compounds, along with their pleasant aroma and flavor, can stimulate feed intake by increasing saliva secretion. Additionally, the TM was observed to enhance feed passage rate, thereby increasing DMI. However, the increased CP intake may be supported by improved nitrogen metabolism. As previously mentioned, EOs can inhibit certain Gram-positive bacteria, including hyper-ammonia-producing species such as <italic>Clostridium sticklandii</italic> and <italic>Peptostreptococcus anaerobius</italic><xref rid="BIBR-7" ref-type="bibr">(Dorantes-Iturbide et al., 2022)</xref>, as well as ruminal protozoa <xref ref-type="bibr" rid="BIBR-24">(Orzuna-Orzuna et al., 2022)</xref>. This modulation may reduce ruminal proteolysis and amino acid deamination, thereby decreasing ammonia-N production. As a result, less protein is degraded in the rumen, allowing a larger portion of dietary protein to bypass ruminal fermentation and be absorbed in the small intestine as amino acids <xref ref-type="bibr" rid="BIBR-4">(Cavallini et al., 2025)</xref>. EOs may enhance nutrient digestibility by modulating rumen microbial populations and enzymatic activity <xref ref-type="bibr" rid="BIBR-2">(Besharati et al., 2021)</xref>. This fact is supported by the higher dCP values (<xref ref-type="table" rid="table-1">Table 2</xref>) observed with EO supplementation, along with an increase in NB (<xref ref-type="table" rid="table-3">Table 4</xref>), indicating greater nitrogen retention, particularly in response to CO, followed by TM. However, the reasons for the increase in CF intake remain unclear.</p><p>The use of MON and EOs can modify ruminal fermentation, affect the ruminal microbiota, and improve nutrient utilization, thereby benefiting both DOMR and EMPS and ultimately improving MN (<xref ref-type="table" rid="table-2">Table 3</xref>)<xref ref-type="bibr" rid="BIBR-28">(Susanto et al., 2023)</xref>. Monensin has been reported to promote increased propionate production and reduce energy loss through methane emissions <xref ref-type="bibr" rid="BIBR-30">(Tseten et al., 2022)</xref>. Although no increase in propionate concentration was observed in the present study, improvements in DOMR, EMPS, and methane mitigation suggest that MON enhanced ruminal fermentation efficiency through mechanisms beyond measurable changes in ruminal propionate concentration. EMPS is directly related to the effectiveness of microorganisms in utilizing nitrogen. Similarly, EOs are effective in microbial protein synthesis. Like MON, they reduce methane production and improve fiber digestibility, increasing the availability of nutrients for ruminal microorganisms and optimizing EMPS <xref ref-type="bibr" rid="BIBR-18">(Króliczewska et al., 2023)</xref>. The ability of MON and TM to reduce NH₃-N concentrations <xref ref-type="fig" rid="figure-1">(Figure 1c</xref>) is particularly relevant, as it indicates the inhibition of proteolytic bacteria, thereby preventing excessive protein degradation and nitrogen loss as ammonia<xref ref-type="bibr" rid="BIBR-31">(Wang et al., 2024)</xref>. Improving nitrogen utilization is crucial because, according to <xref ref-type="bibr" rid="BIBR-10">(Hartinger et al., 2018)</xref>, high ruminal ammonia levels often lead to increased nitrogen excretion rather than its incorporation into microbial protein. Additives decreased NU relative to the CON; however, CO was the most effective in improving NB (<xref ref-type="table" rid="table-3">Table 4</xref>), indicating enhanced nitrogen retention. CO demonstrated the highest NB values among the treatments, suggesting superior nitrogen conservation. This result could be attributed to CO’s selective targeting of Gram-positive bacteria, which are implicated in excessive proteolysis, thereby reducing nitrogen losses <xref ref-type="bibr" rid="BIBR-22">(Moura et al., 2017)</xref>. The lower NU in additive-treated sheep suggests that more nitrogen was directed towards microbial protein synthesis or retained in body tissues <xref ref-type="bibr" rid="BIBR-10">(Hartinger et al., 2018)</xref>, enhancing overall nitrogen efficiency.</p><p>he increase in rumination time observed in TM-treated sheep (<xref ref-type="table" rid="table-4">Table 5</xref>) is likely associated with their high DMI (<xref ref-type="table" rid="table-1">Table 2</xref>). Prolonged rumination enhances saliva production, which provides buffering compounds such as bicarbonate and phosphate, contributing to the stability of ruminal pH <xref ref-type="bibr" rid="BIBR-20">(Mao &amp; Wang, 2025)</xref>. In contrast, the shortest rumination time recorded for MON-treated sheep (<xref ref-type="table" rid="table-4">Table 5</xref>) is consistent with its well-established ability to shift ruminal fermentation towards higher propionate production <xref ref-type="bibr" rid="BIBR-26">(Russell &amp; Houlihan, 2003)</xref>, although this response was not detected in the present study. Since propionate is a more energy-efficient volatile fatty acid that requires less fermentation and chewing effort <xref ref-type="bibr" rid="BIBR-26">(Russell &amp; Houlihan, 2003)</xref>, the reduced need for the physical breakdown of fibrous material may account for the shorter rumination period. Despite this decrease in rumination time, MON-treated sheep maintained a stable ruminal pH (<xref ref-type="fig" rid="figure-1">Figure 1a</xref>), likely due to monensin’s inhibitory effects on lactate-producing bacteria, thereby helping prevent acid accumulation <xref ref-type="bibr" rid="BIBR-26">(Russell &amp; Houlihan, 2003)</xref>.</p><p>The infrared thermography results further elucidate the metabolic effects of these additives, particularly MON. The lower rumen and paw temperatures observed in MON-treated sheep (<xref ref-type="table" rid="table-6">Table 6</xref>) suggest reduced metabolic heat production. This observation aligns with MON’s known role in modifying fermentation to decrease methane and acetate production (<xref ref-type="fig" rid="figure-1">Figures 1d and e</xref>) while favoring propionate synthesis, which generates less heat <xref ref-type="bibr" rid="BIBR-23">(Onan-Martinez et al., 2025)</xref>. Although propionate concentration was not significantly affected in the present study, the observed changes are consistent with improved fermentation efficiency reported for MON. Reduced heat production can be particularly beneficial in warm climates, where excessive metabolic heat can contribute to heat stress and negatively impact feed intake <xref ref-type="bibr" rid="BIBR-15">(Kim et al., 2022)</xref>. Additionally, the lower paw temperature in MON-treated sheep indicates improved thermoregulation, potentially through enhanced circulatory efficiency and reduced heat-dissipation requirements <xref ref-type="bibr" rid="BIBR-15">(Kim et al., 2022)</xref>. The OEs showed intermediate results, highlighting broader physiological benefits beyond fermentation modulation and demonstrating their potential as a strategic dietary additive for reducing heat stress in ruminants.</p><p>In terms of ruminal parameters, the increased ruminal pH and redox potential (E<sub>h</sub>) with MON supplementation (<xref ref-type="fig" rid="figure-1">Figures 1a and b</xref>) align with its previously mentioned ability to inhibit gram-positive bacteria and modulate ruminal fermentation, thereby reducing acid accumulation (<xref ref-type="bibr" rid="BIBR-23">(Onan-Martinez et al., 2025)</xref>. The EOs resulted in slightly lower ruminal pH and Eh than MON and CON (<xref ref-type="fig" rid="figure-1">Figures 1a and b</xref>). However, the pH remained within the normal range of approximately 5.8 to 6.8 <xref ref-type="bibr" rid="BIBR-12">(Hungate, 2013)</xref>; <xref ref-type="bibr" rid="BIBR-20">(Mao &amp; Wang, 2025)</xref>, and Eh was +100 mV or less and less than −250 mV<xref ref-type="bibr" rid="BIBR-11">(Huang et al., 2018)</xref>. This result indicates that the EOs did not cause excessive acidification of the rumen environment, suggesting that their antimicrobial activity did not significantly disrupt the balance between acid-producing and acid-utilizing microorganisms, nor did it alter the electron transfer balance in the rumen. Estimated methane production (<xref ref-type="fig" rid="figure-1">Figure 1e</xref>) followed a pattern similar to that of acetic acid concentration (<xref ref-type="fig" rid="figure-1">Figure 1d</xref>), as expected, since acetate is primarily synthesized by Gram-positive bacteria and the associated hydrogen is utilized by Methanogenic archaea to produce methane <xref ref-type="bibr" rid="BIBR-12">(Hungate, 2013)</xref>. MON and CO exhibited the lowest levels of methane and acetic acid production during the initial hours, likely due to their similar mechanisms of action <xref ref-type="bibr" rid="BIBR-22">(Moura et al., 2017)</xref>. This has been reported to inhibit methanogenic microorganisms and, in many studies, shift fermentation pathways toward propionate production <xref ref-type="bibr" rid="BIBR-22">(Moura et al., 2017)</xref>. However, in the present study, methane and acetate were reduced, with no significant change in propionate concentration. This outcome is particularly beneficial, as estimated methane production accounts for approximately 6% to 18% of the diet’s gross energy loss during fermentation <xref ref-type="bibr" rid="BIBR-21">(Min et al., 2022)</xref>. </p></sec><sec><title>CONCLUSION</title><p>While the additives increased dry matter intake, CO and TM maximized crude protein intake and digestibility. EOs enhanced nitrogen availability for microbial protein synthesis, thereby improving nitrogen balance. In contrast, MON reduced ruminal and cannon region temperatures, likely reflecting changes in ruminal fermentation and lower heat production. Both MON and CO reduced the acetate concentration, thereby lowering methane production. Overall, EOs were as effective as MON in reducing estimated methane production while improving nutrient utilization and nitrogen use efficiency in sheep.</p></sec><sec><title>CONFLICT OF INTEREST</title><p>We certify that there is no conflict of interest with any financial, personal, or other relationships with other people or organizations related to the material discussed in the manuscript.</p></sec><sec><title>ACKNOWLEDGEMENT</title><p>This study was funded by the Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro - FAPERJ (RJ, Brazil), process number E-26/204.325/2025, Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, and Universidade Estadual do Norte Fluminense under Grant PAPIC SEI-260002/006970/2024.</p></sec><sec><title>DECLARATION OF GENERATIVE AI AND AI-ASSISTED TECHNOLOGIES IN THE WRITING PROCESS</title><p>During the preparation of this work, the authors used Grammarly to refine sentence structure. After using this tool/service, the authors reviewed and edited the content as needed and take full responsibility for the publication’s content.</p></sec></body><back><sec sec-type="how-to-cite"><title>How to Cite</title><p>Aniceto, E. S., Oliveira, T. S., Mozelli Filho , E. J. L., Meirelles Junior, J. R., Lima, M. T., Fernandes, A. M., Muñeton, L. P. G., Lopes , I. F. M., Erthal, K. M., &amp; Santos, B. A. V. (2026). Copaiba and Thyme Essential Oils as Natural Alternatives to Ionophores: Impacts on Digestion, Nitrogen Utilization, Ruminal Fermentation, and Methane Emissions in Sheep. <italic>Tropical Animal Science Journal</italic>, <italic>50</italic>(1), 1. https://doi.org/10.5398/tasj.2027.50.1.1</p></sec><ref-list><title>References</title><ref id="BIBR-1"><element-citation publication-type="book"><article-title>Association of Official Analytical Chemistry - AOAC</article-title><year>2019</year><publisher-name>AOAC International</publisher-name><edition>21st</edition></element-citation></ref><ref id="BIBR-2"><element-citation publication-type="journal"><article-title>Influence of cinnamon essential oil and monensin on ruminal biogas kinetics of waste pomegranate seeds as a biofriendly agriculture environment</article-title><source>Waste &amp; Biomass Valorization</source><volume>12</volume><person-group person-group-type="author"><name><surname>Besharati</surname><given-names>M.</given-names></name><name><surname>Palangi</surname><given-names>V.</given-names></name><name><surname>Moaddab</surname><given-names>M.</given-names></name><name><surname>Nemati</surname><given-names>Z.</given-names></name><name><surname>Barababosa Pliego</surname><given-names>A.</given-names></name><name><surname>Salem</surname><given-names>A.Z.M.</given-names></name></person-group><year>2021</year><fpage>2333</fpage><lpage>2342</lpage><page-range>2333-2342</page-range><pub-id pub-id-type="doi">10.1007/s12649-020-01167-2</pub-id></element-citation></ref><ref id="BIBR-3"><element-citation publication-type="journal"><article-title>Essential oil supplementation in small ruminants: a review on their possible role in rumen fermentation, microbiota, and animal production</article-title><source>Dairy</source><volume>4</volume><person-group person-group-type="author"><name><surname>Caroprese</surname><given-names>M.</given-names></name><name><surname>Ciliberti</surname><given-names>M.G.</given-names></name><name><surname>Marino</surname><given-names>R.</given-names></name><name><surname>Santillo</surname><given-names>A.</given-names></name><name><surname>Sevi</surname><given-names>A.</given-names></name><name><surname>Albenzio</surname><given-names>M.</given-names></name></person-group><year>2023</year><fpage>497</fpage><lpage>508</lpage><page-range>497-508</page-range><pub-id pub-id-type="doi">10.3390/dairy4030033</pub-id></element-citation></ref><ref id="BIBR-4"><element-citation publication-type="journal"><article-title>The use of rumen-protected amino acids and fibrous by-products can increase the sustainability of milk production</article-title><source>Frontiers in Veterinary Science</source><volume>8</volume><issue>12</issue><person-group person-group-type="author"><name><surname>Cavallini</surname><given-names>D.</given-names></name><name><surname>Lamanna</surname><given-names>M.</given-names></name><name><surname>Colleluori</surname><given-names>R.</given-names></name><name><surname>Silvestrelli</surname><given-names>S.</given-names></name><name><surname>Ghiaccio</surname><given-names>F.</given-names></name><name><surname>Buonaiuto</surname><given-names>G.</given-names></name><name><surname>Formigoni</surname><given-names>A.</given-names></name></person-group><year>2025</year><page-range>1588425</page-range><pub-id pub-id-type="doi">10.3389/fvets.2025.1588425</pub-id></element-citation></ref><ref id="BIBR-5"><element-citation publication-type="journal"><article-title>Estimation of microbial protein supply to sheep and cattle based on urinary excretion of purine derivatives – an overview of technical details</article-title><person-group person-group-type="author"><name><surname>Chen</surname><given-names>X.B.</given-names></name><name><surname>Gomes</surname><given-names>M.J.</given-names></name></person-group><year>1992</year><publisher-name>International Feed Resources Unit, Occasional Publication</publisher-name><comment>Rowett Research Institute</comment></element-citation></ref><ref id="BIBR-6"><element-citation publication-type="book"><article-title>Métodos para análise de alimentos (INCT - Ciência Animal</article-title><person-group person-group-type="author"><name><surname>E.</surname><given-names>Detmann</given-names></name><name><surname>Souza</surname><given-names>M.A.</given-names></name><name><surname>Valadares Filho</surname><given-names>S.C.</given-names></name><name><surname>Queiroz</surname><given-names>A.C.</given-names></name><name><surname>Berchielli</surname><given-names>T.T.</given-names></name><name><surname>Saliba</surname><given-names>E.O.E.</given-names></name><name><surname>Cabral</surname><given-names>L.S.</given-names></name><name><surname>Pina</surname><given-names>D.S.</given-names></name><name><surname>Ladeira</surname><given-names>M.M.</given-names></name><name><surname>Azevedo</surname><given-names>J.A.G.</given-names></name></person-group><year>2012</year><publisher-name>Editora UFV</publisher-name><publisher-loc>Viçosa, MG, Brazil</publisher-loc></element-citation></ref><ref id="BIBR-7"><element-citation publication-type="journal"><article-title>Essential oils as a dietary additive for small ruminants: A meta-analysis on performance, rumen parameters, serum metabolites, and product quality</article-title><source>Veterinary Sciences</source><volume>9</volume><person-group person-group-type="author"><name><surname>Dorantes-Iturbide</surname><given-names>G.</given-names></name><name><surname>Orzuna-Orzuna</surname><given-names>J.F.</given-names></name><name><surname>Lara-Bueno</surname><given-names>A.</given-names></name><name><surname>Mendoza-Martínez</surname><given-names>G.D.</given-names></name><name><surname>Miranda-Romero</surname><given-names>L.A.</given-names></name><name><surname>Lee-Rangel</surname><given-names>H.A.</given-names></name></person-group><year>2022</year><page-range>475</page-range><pub-id pub-id-type="doi">10.3390/vetsci9090475</pub-id></element-citation></ref><ref id="BIBR-8"><element-citation publication-type="journal"><article-title>Method for determining total volatile bases in rumen fluid by steam distillation</article-title><source>Journal of Dairy Science</source><volume>48</volume><person-group person-group-type="author"><name><surname>Fenner</surname><given-names>H.</given-names></name></person-group><year>1965</year><fpage>249</fpage><lpage>251</lpage><page-range>249-251</page-range><pub-id pub-id-type="doi">10.3168/jds.S0022-0302(65)88206-6</pub-id></element-citation></ref><ref id="BIBR-9"><element-citation publication-type="journal"><article-title>Evaluation of the biological activities of Copaiba (Copaifera spp): a comprehensive review based on scientometric analysis</article-title><source>Frontiers in Pharmacology</source><volume>1</volume><issue>14</issue><person-group person-group-type="author"><name><surname>Frazão</surname><given-names>D.R.</given-names></name><name><surname>Cruz</surname><given-names>J.N.</given-names></name><name><surname>Santana</surname><given-names>O.M.</given-names></name><name><surname>Baia</surname><given-names>S.D.C.</given-names></name><name><surname>Nazário</surname><given-names>R.M.F.</given-names></name><name><surname>Rodrigues</surname><given-names>M.F.L.</given-names></name><name><surname>Saito</surname><given-names>M.T.</given-names></name><name><surname>Souza</surname><given-names>R.R.D.</given-names></name><name><surname>Lima</surname><given-names>R.R.</given-names></name></person-group><year>2023</year><page-range>1215437</page-range><pub-id pub-id-type="doi">10.3389/fphar.2023.1215437</pub-id></element-citation></ref><ref id="BIBR-10"><element-citation publication-type="journal"><article-title>Does intra-ruminal nitrogen recycling waste valuable resources? A review of major players and their manipulation</article-title><source>Journal of Animal Science Biotechnology</source><volume>9</volume><person-group person-group-type="author"><name><surname>Hartinger</surname><given-names>T.</given-names></name><name><surname>Gresner</surname><given-names>N.</given-names></name><name><surname>Südekum</surname><given-names>K.H.</given-names></name></person-group><year>2018</year><fpage>1</fpage><lpage>21</lpage><page-range>1-21</page-range><pub-id pub-id-type="doi">10.1186/s40104-018-0249-x</pub-id></element-citation></ref><ref id="BIBR-11"><element-citation publication-type="journal"><article-title>Redox potential: An intrinsic parameter of the rumen environment</article-title><source>Journal of Animal Physiology and Animal Nutrition</source><volume>102</volume><person-group person-group-type="author"><name><surname>Huang</surname><given-names>Y.</given-names></name><name><surname>Marden</surname><given-names>J.P.</given-names></name><name><surname>Julien</surname><given-names>C.</given-names></name><name><surname>Bayourthe</surname><given-names>C.</given-names></name></person-group><year>2018</year><fpage>393</fpage><lpage>402</lpage><page-range>393-402</page-range><pub-id pub-id-type="doi">10.1111/jpn.12855</pub-id></element-citation></ref><ref id="BIBR-12"><element-citation publication-type="book"><article-title>The rumen and its microbes</article-title><person-group person-group-type="author"><name><surname>Hungate</surname><given-names>R.E.</given-names></name></person-group><year>2013</year><publisher-name>Elsevier</publisher-name><pub-id pub-id-type="doi">10.1016/C2013-0-12555-X</pub-id></element-citation></ref><ref id="BIBR-13"><element-citation publication-type="journal"><article-title>Non-invasive measure of heat stress in sheep using machine learning techniques and infrared thermography</article-title><source>Small Ruminant Research</source><volume>207</volume><person-group person-group-type="author"><name><surname>Joy</surname><given-names>A.</given-names></name><name><surname>Taheri</surname><given-names>S.</given-names></name><name><surname>Dunshea</surname><given-names>F.R.</given-names></name><name><surname>Leury</surname><given-names>B.J.</given-names></name><name><surname>DiGiacomo</surname><given-names>K.</given-names></name><name><surname>Osei-Amponsah</surname><given-names>R.</given-names></name><name><surname>Brodie</surname><given-names>G.</given-names></name><name><surname>Chauhan</surname><given-names>S.S.</given-names></name></person-group><year>2022</year><page-range>106592</page-range><pub-id pub-id-type="doi">10.1016/j.smallrumres.2021.106592</pub-id></element-citation></ref><ref id="BIBR-14"><element-citation publication-type="journal"><article-title>Effect of replacement of antibiotics with thyme and celery seed mixture on the feed intake and digestion, ruminal fermentation, blood chemistry, and milk lactation of lactating Barki ewes</article-title><source>Food &amp; Function</source><volume>11</volume><person-group person-group-type="author"><name><surname>Khattab</surname><given-names>M.S.A.</given-names></name><name><surname>Kholif</surname><given-names>A.E.</given-names></name><name><surname>Abd El Tawab</surname><given-names>A.M.</given-names></name><name><surname>Shaaban</surname><given-names>M.M.</given-names></name><name><surname>Hadhoud</surname><given-names>F.I.</given-names></name><name><surname>El-Fouly</surname><given-names>H.A.</given-names></name><name><surname>Olafadehan</surname><given-names>O.A.</given-names></name></person-group><year>2020</year><fpage>6889</fpage><lpage>6898</lpage><page-range>6889-6898</page-range><pub-id pub-id-type="doi">10.1039/D0FO00807A</pub-id></element-citation></ref><ref id="BIBR-15"><element-citation publication-type="journal"><article-title>Heat stress: effects on rumen microbes and host physiology, and strategies to alleviate the negative impacts on lactating dairy cows</article-title><source>Frontiers in Microbiology</source><volume>13</volume><person-group person-group-type="author"><name><surname>Kim</surname><given-names>S.H.</given-names></name><name><surname>Ramos</surname><given-names>S.C.</given-names></name><name><surname>Valencia</surname><given-names>R.A.</given-names></name><name><surname>Cho</surname><given-names>Y.I.</given-names></name><name><surname>Lee</surname><given-names>S.S.</given-names></name></person-group><year>2022</year><page-range>804562</page-range><pub-id pub-id-type="doi">10.3389/fmicb.2022.804562</pub-id></element-citation></ref><ref id="BIBR-16"><element-citation publication-type="journal"><article-title>Performance and methane emissions in dairy cows fed oregano and green tea extracts as feed additives</article-title><source>Journal of Dairy Science</source><volume>101</volume><person-group person-group-type="author"><name><surname>Kolling</surname><given-names>G.J.</given-names></name><name><surname>Stivanin</surname><given-names>S.C.B.</given-names></name><name><surname>Gabbi</surname><given-names>A.M.</given-names></name><name><surname>Machado</surname><given-names>F.S.</given-names></name><name><surname>Ferreira</surname><given-names>A.L.</given-names></name><name><surname>Campos</surname><given-names>M.M.</given-names></name><name><surname>Tomich</surname><given-names>T.R.</given-names></name><name><surname>Cunha</surname><given-names>C.S.</given-names></name><name><surname>Dill</surname><given-names>S.W.</given-names></name><name><surname>Pereira</surname><given-names>L.G.R.</given-names></name><name><surname>Fisher</surname><given-names>V.</given-names></name></person-group><year>2018</year><fpage>4221</fpage><lpage>4234</lpage><page-range>4221-4234</page-range><pub-id pub-id-type="doi">10.3168/jds.2017-13841</pub-id></element-citation></ref><ref id="BIBR-17"><element-citation publication-type="journal"><article-title>Income, consumer preferences, and the future of livestock-derived food demand</article-title><source>Global Environmental Change</source><volume>70</volume><person-group person-group-type="author"><name><surname>Komarek</surname><given-names>A.M.</given-names></name><name><surname>Dunston</surname><given-names>S.</given-names></name><name><surname>Enahoro</surname><given-names>D.</given-names></name><name><surname>Godfray</surname><given-names>H.C.J.</given-names></name><name><surname>Herrero</surname><given-names>M.</given-names></name><name><surname>Mason-D’Croz</surname><given-names>D.</given-names></name><name><surname>Rich</surname><given-names>K.M.</given-names></name><name><surname>Scarborough</surname><given-names>P.</given-names></name><name><surname>Springmann</surname><given-names>M.</given-names></name><name><surname>Sulser</surname><given-names>T.B.</given-names></name><name><surname>Wiebe</surname><given-names>K.</given-names></name></person-group><year>2021</year><page-range>102343</page-range><pub-id pub-id-type="doi">10.1016/j.gloenvcha.2021.102343</pub-id></element-citation></ref><ref id="BIBR-18"><element-citation publication-type="journal"><article-title>Strategies used to reduce methane emissions from ruminants: Controversies and issues</article-title><source>Agriculture</source><volume>13</volume><person-group person-group-type="author"><name><surname>Króliczewska</surname><given-names>B.</given-names></name><name><surname>Pecka-Kiełb</surname><given-names>E.</given-names></name><name><surname>Bujok</surname><given-names>J.</given-names></name></person-group><year>2023</year><page-range>602</page-range><pub-id pub-id-type="doi">10.3390/agriculture13030602</pub-id></element-citation></ref><ref id="BIBR-19"><element-citation publication-type="journal"><article-title>Comparative effects of nisin and monensin supplementation on growth performance, rumen fermentation, nutrient digestion, and plasma metabolites of fattening Hu sheep</article-title><source>Frontiers in Veterinary Science</source><volume>11</volume><person-group person-group-type="author"><name><surname>Luo</surname><given-names>J.</given-names></name><name><surname>Jiang</surname><given-names>J.</given-names></name><name><surname>Duan</surname><given-names>H.</given-names></name><name><surname>Zhang</surname><given-names>H.</given-names></name><name><surname>Sun</surname><given-names>M.</given-names></name><name><surname>Mao</surname><given-names>S.</given-names></name><name><surname>Shen</surname><given-names>J.</given-names></name></person-group><year>2024</year><page-range>1441431</page-range><pub-id pub-id-type="doi">10.3389/fvets.2024.1441431</pub-id></element-citation></ref><ref id="BIBR-20"><element-citation publication-type="journal"><article-title>Rumen acidosis in ruminants: a review of the effects of high-concentrate diets and the potential modulatory role of rumen foam</article-title><source>Frontiers in Veterinary Science</source><volume>27</volume><issue>12</issue><person-group person-group-type="author"><name><surname>Mao</surname><given-names>J.</given-names></name><name><surname>Wang</surname><given-names>L.</given-names></name></person-group><year>2025</year><page-range>1595615</page-range><pub-id pub-id-type="doi">10.3389/fvets.2025.1595615</pub-id></element-citation></ref><ref id="BIBR-21"><element-citation publication-type="journal"><article-title>Enteric methane emissions and animal performance in dairy and beef cattle production: Strategies, opportunities, and impact of reducing emissions</article-title><source>Animals</source><volume>12</volume><issue>8</issue><person-group person-group-type="author"><name><surname>Min</surname><given-names>B.R.</given-names></name><name><surname>Lee</surname><given-names>S.</given-names></name><name><surname>Jung</surname><given-names>H.</given-names></name><name><surname>Miller</surname><given-names>D.N.</given-names></name><name><surname>Chen</surname><given-names>R.</given-names></name></person-group><year>2022</year><page-range>948</page-range><pub-id pub-id-type="doi">10.3390/ani12080948</pub-id></element-citation></ref><ref id="BIBR-22"><element-citation publication-type="journal"><article-title>Feed efficiency and carcass traits of feedlot lambs supplemented either monensin or increasing doses of copaiba (Copaifera spp.) essential oil</article-title><source>Animal Feed Science and Technology</source><volume>232</volume><person-group person-group-type="author"><name><surname>Moura</surname><given-names>L.V.</given-names></name><name><surname>Oliveira</surname><given-names>E.R.</given-names></name><name><surname>Fernandes</surname><given-names>A.R.M.</given-names></name><name><surname>Gabriel</surname><given-names>A.M.A.</given-names></name><name><surname>Silva</surname><given-names>L.H.X.</given-names></name><name><surname>Takiya</surname><given-names>C.S.</given-names></name><name><surname>Cônsolo</surname><given-names>N.R.B.</given-names></name><name><surname>Rodrigues</surname><given-names>G.C.G.</given-names></name><name><surname>Lemos</surname><given-names>T.</given-names></name><name><surname>Gandra</surname><given-names>J.R.</given-names></name></person-group><year>2017</year><fpage>110</fpage><lpage>118</lpage><page-range>110-118</page-range><pub-id pub-id-type="doi">10.1016/j.anifeedsci.2017.08.006</pub-id></element-citation></ref><ref id="BIBR-23"><element-citation publication-type="journal"><article-title>Monensin reduces enteric methane emissions in late-lactation Holstein cows fed high-concentrate diets</article-title><source>JDS Communications</source><volume>30</volume><issue>7</issue><person-group person-group-type="author"><name><surname>Onan-Martinez</surname><given-names>D.</given-names></name><name><surname>T.</surname><given-names>Bari M.A.</given-names></name><name><surname>Olmo</surname><given-names>H.</given-names></name><name><surname>Lance</surname><given-names>J.</given-names></name><name><surname>Toledo</surname><given-names>I.M.</given-names></name><name><surname>Tricarico</surname><given-names>J.M.</given-names></name><name><surname>Dahl</surname><given-names>G.E.</given-names></name></person-group><year>2025</year><fpage>34</fpage><lpage>39</lpage><page-range>34-39</page-range><pub-id pub-id-type="doi">10.3168/jdsc.2025-0865</pub-id></element-citation></ref><ref id="BIBR-24"><element-citation publication-type="journal"><article-title>A meta-analysis of essential oils use for beef cattle feed: Rumen fermentation, blood metabolites, meat quality, performance, and environmental and economic impact</article-title><source>Fermentation</source><volume>8</volume><person-group person-group-type="author"><name><surname>Orzuna-Orzuna</surname><given-names>J.F.</given-names></name><name><surname>Dorantes-Iturbide</surname><given-names>G.</given-names></name><name><surname>Lara-Bueno</surname><given-names>A.</given-names></name><name><surname>Miranda-Romero</surname><given-names>L.A.</given-names></name><name><surname>Mendoza-Martínez</surname><given-names>G.D.</given-names></name><name><surname>Santiago-Figueroa</surname><given-names>I.</given-names></name></person-group><year>2022</year><page-range>254</page-range><pub-id pub-id-type="doi">10.3390/fermentation8060254</pub-id></element-citation></ref><ref id="BIBR-25"><element-citation publication-type="journal"><article-title>Antimicrobial activity and GC-MS profile of copaiba oil for incorporation into xanthosoma mafaffa schott starch-based films</article-title><source>Polymers</source><volume>12</volume><issue>12</issue><person-group person-group-type="author"><name><surname>Rodrigues</surname><given-names>G.M.</given-names></name><name><surname>Filgueiras</surname><given-names>C.T.</given-names></name><name><surname>Garcia</surname><given-names>V.A.S.</given-names></name><name><surname>Carvalho</surname><given-names>R.A.</given-names></name><name><surname>Velasco</surname><given-names>J.I.</given-names></name><name><surname>Fakhouri</surname><given-names>F.M.</given-names></name></person-group><year>2020</year><page-range>2883</page-range><pub-id pub-id-type="doi">10.3390/polym12122883</pub-id></element-citation></ref><ref id="BIBR-26"><element-citation publication-type="journal"><article-title>Ionophore resistance of ruminal bacteria and its potential impact on human health</article-title><source>FEMS Microbiology Reviews</source><volume>27</volume><person-group person-group-type="author"><name><surname>Russell</surname><given-names>J.B.</given-names></name><name><surname>Houlihan</surname><given-names>A.J.</given-names></name></person-group><year>2003</year><fpage>65</fpage><lpage>74</lpage><page-range>65-74</page-range><pub-id pub-id-type="doi">10.1016/S0168-6445(03)00019-6</pub-id></element-citation></ref><ref id="BIBR-27"><element-citation publication-type="journal"><article-title>Thyme and celery as potential alternatives to ionophores use in livestock production: their effects on feed utilization, growth performance and meat quality of Barki lambs</article-title><source>Small Ruminant Research</source><volume>200</volume><person-group person-group-type="author"><name><surname>Shaaban</surname><given-names>M.M.</given-names></name><name><surname>Kholif</surname><given-names>A.E.</given-names></name><name><surname>Abd El Tawab</surname><given-names>A.M.</given-names></name><name><surname>Radwan</surname><given-names>M.A.</given-names></name><name><surname>Hadhoud</surname><given-names>F.I.</given-names></name><name><surname>Khattab</surname><given-names>M.S.A.</given-names></name><name><surname>Saleh</surname><given-names>H.M.</given-names></name><name><surname>Anele</surname><given-names>U.Y.</given-names></name></person-group><year>2021</year><page-range>106400</page-range><pub-id pub-id-type="doi">10.1016/j.smallrumres.2021.106400</pub-id></element-citation></ref><ref id="BIBR-28"><element-citation publication-type="journal"><article-title>Evaluation of essential oils as additives during fermentation of feed products: A meta-analysis</article-title><source>Fermentation</source><volume>9</volume><person-group person-group-type="author"><name><surname>Susanto</surname><given-names>I.</given-names></name><name><surname>Rahmadani</surname><given-names>M.</given-names></name><name><surname>Wiryawan</surname><given-names>K.G.</given-names></name><name><surname>Laconi</surname><given-names>E.B.</given-names></name><name><surname>Jayanegara</surname><given-names>A.</given-names></name></person-group><year>2023</year><page-range>583</page-range><pub-id pub-id-type="doi">10.3390/fermentation9070583</pub-id></element-citation></ref><ref id="BIBR-29"><element-citation publication-type="journal"><article-title>Value-added effects of using aromatic plants in foods and human therapy</article-title><source>Food Science and Technology</source><volume>42</volume><person-group person-group-type="author"><name><surname>Taban</surname><given-names>B.M.</given-names></name><name><surname>Stavropoulou</surname><given-names>E.</given-names></name><name><surname>Winkelströter</surname><given-names>L.K.</given-names></name><name><surname>Bezirtzoglou</surname><given-names>E.</given-names></name></person-group><year>2021</year><page-range>43121</page-range><pub-id pub-id-type="doi">10.1590/fst.43121</pub-id></element-citation></ref><ref id="BIBR-30"><element-citation publication-type="journal"><article-title>Strategies to mitigate enteric methane emissions from ruminant animals</article-title><source>Journal of Microbiology and Biotechnology</source><volume>28</volume><person-group person-group-type="author"><name><surname>Tseten</surname><given-names>T.</given-names></name><name><surname>Sanjorjo</surname><given-names>R.A.</given-names></name><name><surname>Kwon</surname><given-names>M.</given-names></name><name><surname>Kim</surname><given-names>S.W.</given-names></name></person-group><year>2022</year><fpage>269</fpage><lpage>277</lpage><page-range>269-277</page-range><pub-id pub-id-type="doi">10.4014/jmb.2202.02019</pub-id></element-citation></ref><ref id="BIBR-31"><element-citation publication-type="journal"><article-title>Total ammonia nitrogen inhibits medium-chain fatty acid biosynthesis by disrupting hydrolysis, acidification, chain elongation, substrate transmembrane transport and ATP synthesis processes</article-title><source>Bioresource Technology</source><volume>409</volume><person-group person-group-type="author"><name><surname>Wang</surname><given-names>X.</given-names></name><name><surname>Han</surname><given-names>J.</given-names></name><name><surname>Zeng</surname><given-names>M.</given-names></name><name><surname>Chen</surname><given-names>Y.</given-names></name><name><surname>Jiang</surname><given-names>F.</given-names></name><name><surname>Zhang</surname><given-names>L.</given-names></name><name><surname>Zhou</surname><given-names>Y.</given-names></name></person-group><year>2024</year><page-range>131236</page-range><pub-id pub-id-type="doi">10.1016/j.biortech.2024.131236</pub-id></element-citation></ref><ref id="BIBR-32"><element-citation publication-type="webpage"><article-title>The enzyme Rnf completes the pathway for forming propionate during fermentation in Prevotella</article-title><volume>bioRxiv</volume><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>B.</given-names></name><name><surname>Lingga</surname><given-names>C.</given-names></name><name><surname>Groot</surname><given-names>H.</given-names></name><name><surname>Hackmann</surname><given-names>T.J.</given-names></name></person-group><year>2022</year><fpage>1</fpage><lpage>36</lpage><page-range>1-36</page-range><pub-id pub-id-type="doi">10.1101/2022.11.08.515646</pub-id></element-citation></ref></ref-list></back></article>