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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rbz</journal-id>
			<journal-title-group>
				<journal-title>Revista Brasileira de Zootecnia</journal-title>
				<abbrev-journal-title abbrev-type="publisher">R. Bras. Zootec.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1516-3598</issn>
			<issn pub-type="epub">1806-9290</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Zootecnia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="other">00520</article-id>
			<article-id pub-id-type="doi">10.1590/rbz4720170198</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Non-ruminants</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Effects of two sources of Mexican oregano oil on performance, blood profile, carcass variables, and meat of broilers</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Silva-Vázquez</surname>
						<given-names>Ramón</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Duran-Meléndez</surname>
						<given-names>Lorenzo Antonio</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hernández-Martínez</surname>
						<given-names>Carlos Alberto</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Gutiérrez-Soto</surname>
						<given-names>Juanita Guadalupe</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hume</surname>
						<given-names>Michael E.</given-names>
					</name>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-1428-5217</contrib-id>
					<name>
						<surname>Méndez-Zamora</surname>
						<given-names>Gerardo</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="normalized">Instituto Tecnológico de Parral</institution>
					<institution content-type="orgname">Instituto Tecnologico de Parral</institution>
					<addr-line>
						<named-content content-type="city">Hidalgo del Parral</named-content>
						<named-content content-type="state">Chihuahua</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<institution content-type="original">Instituto Tecnologico de Parral, Hidalgo del Parral, Chihuahua, Mexico</institution>
				</aff>
				<aff id="aff2">
					<label>2</label>
					<institution content-type="normalized">Universidad Autónoma de Chihuahua</institution>
					<institution content-type="orgname">Universidad Autonoma de Chihuahua</institution>
					<institution content-type="orgdiv1">Facultad de Zootecnia y Ecologia</institution>
					<addr-line>
						<named-content content-type="city">Chihuahua</named-content>
						<named-content content-type="state">Chihuahua</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<institution content-type="original">Universidad Autonoma de Chihuahua, Facultad de Zootecnia y Ecologia, Chihuahua, Chihuahua, Mexico</institution>
				</aff>
				<aff id="aff3">
					<label>3</label>
					<institution content-type="normalized">Universidad Autónoma de Nuevo León</institution>
					<institution content-type="orgname">Universidad Autonoma de Nuevo Leon</institution>
					<institution content-type="orgdiv1">Facultad de Agronomia</institution>
					<addr-line>
						<named-content content-type="city">General Escobedo</named-content>
						<named-content content-type="state">Nuevo Leon</named-content>
					</addr-line>
					<country country="MX">Mexico</country>
					<institution content-type="original">Universidad Autonoma de Nuevo Leon, Facultad de Agronomia, General Escobedo, Nuevo Leon, Mexico</institution>
				</aff>
				<aff id="aff4">
					<label>4</label>
					<institution content-type="orgname">Southern Plains Agricultural Research Center</institution>
					<institution content-type="orgdiv2">Agricultural Research Service</institution>
					<institution content-type="orgdiv1">U.S. Department of Agriculture, Food and Feed Safety Research Unit</institution>
					<addr-line>
						<named-content content-type="city">College Station</named-content>
						<named-content content-type="state">Texas</named-content>
					</addr-line>
					<country country="US">USA</country>
					<institution content-type="original">U.S. Department of Agriculture, Food and Feed Safety Research Unit, Southern Plains Agricultural Research Center, Agricultural Research Service, College Station, Texas, USA</institution>
				</aff>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>mezage@hotmail.com</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub">
				<day>06</day>
				<month>07</month>
				<year>2018</year>
			</pub-date>
			<volume>47</volume>
			<elocation-id>e20170198</elocation-id>
			<history>
				<date date-type="received">
					<day>25</day>
					<month>07</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>08</day>
					<month>03</month>
					<year>2018</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<p>The current study was conducted to investigate the effects of Mexican oregano essential oil (MOO) extracts from <italic>Lippia berlandieri</italic> Schauer (LBS) and <italic>Poliomintha longiflora</italic> Gray (PLG) on performance, blood profiles, carcass variables, and meat composition of broilers at slaugther. A total of 360 one-day-old Ross broilers were randomly distributed into four dietary treatments with six replicate pens per treatment and 15 birds per pen. The dietary treatments were: a basal diet (control), control + 0.40 g of LBS/kg of feed, control + 0.40 g of PLG/kg, and control + 0.40 g of LBS/kg + 0.40 g of PLG/kg. Results showed that linear, quadratic, and cubic effects of days were significant in the performance variables of broilers. The treatments with LBS and PLG maintained the broiler body weight without increasing feed intake and water intake when compared with the control group. Broilers given LBS+PLG and PLG had increased blood leukocytes, lymphocytes, low-density lipoprotein, and hot carcass yields. In meat composition, treatments with PLG and LBS+PLG presented similar breast protein content compared with the control treatment. Supplementation with these two MOO exhibits positive effects on broiler performance, blood profiles, carcass traits, and meat composition. These two MOO may be promising feed supplements as growth promoters and enhancers of meat quality in broiler production.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words:</title>
				<kwd><italic>Lippia berlandieri</italic> Schauer</kwd>
				<kwd>meat quality</kwd>
				<kwd>Mexican oregano</kwd>
				<kwd>performance</kwd>
				<kwd><italic>Poliomintha longiflora</italic> Gray</kwd>
			</kwd-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="7"/>
				<equation-count count="2"/>
				<ref-count count="43"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Resistance of pathogenic bacteria to antibiotics used in broiler production is widely known. For this reason, natural alternatives to antibiotics are being pursued and studied in poultry production. Oregano leaves and oregano essential oils (OEO) as phytogenic feed ingredients exhibit properties such as growth promotion, natural antibiotics, and improved meat quality in chickens (<xref ref-type="bibr" rid="B13">Hong et al., 2012</xref>). Several species falling under the common name oregano are found in the genera <italic>Origanum</italic> and <italic>Thymus</italic>, native to Europe, and <italic>Lippia</italic> and <italic>Poliomintha</italic>, originating from the arid Central and North America. The most popular forms under the common name Mexican oregano are <italic>Lippia berlandieri</italic> Schauer and <italic>Poliomintha longiflora</italic> Gray (<xref ref-type="bibr" rid="B34">Rivero-Cruz et al., 2011</xref>). <italic>Lippia berlandieri</italic> Schauer is a common shrub found in arid regions of northern Central America, Mexico, and the southwestern United States, while <italic>Poliomintha longiflora</italic> Gray is a spindly shrub restricted to arid north-central Mexico, as well as in Haiti. The dried foliage and inflorescences of both Mexican varieties are used as condiments and as treatment for respiratory and digestive diseases (<xref ref-type="bibr" rid="B34">Rivero-Cruz et al., 2011</xref>). The main constituents of essential oils from Mexican oregano include carvacrol, thymol, β-myrcene, α-terpinene, γ-terpinene, <italic>p</italic>-cymene, and ceneol (<xref ref-type="bibr" rid="B41">Vazquez and Dunford, 2005</xref>; <xref ref-type="bibr" rid="B38">Silva-Vazquez et al., 2017</xref>).</p>
			<p>A number of researchers have evaluated performance and meat quality of broilers given plant extracts (<xref ref-type="bibr" rid="B1">Akbarian et al., 2013</xref>; <xref ref-type="bibr" rid="B36">Sharifi et al., 2013</xref>; <xref ref-type="bibr" rid="B5">Cho et al., 2014</xref>; <xref ref-type="bibr" rid="B31">Park et al., 2014</xref>; <xref ref-type="bibr" rid="B39">Starčević et al., 2015</xref>) and OEO (<xref ref-type="bibr" rid="B13">Hong et al., 2012</xref>; <xref ref-type="bibr" rid="B16">Khattak et al., 2014</xref>; <xref ref-type="bibr" rid="B18">Kırkpınar et al., 2014</xref>; <xref ref-type="bibr" rid="B19">Küçükyılmaz et al., 2014</xref>; <xref ref-type="bibr" rid="B9">Ghazi et al., 2015</xref>; <xref ref-type="bibr" rid="B37">Silva-Vázquez et al., 2015</xref>; <xref ref-type="bibr" rid="B40">Sun et al., 2015</xref>; <xref ref-type="bibr" rid="B8">Ghazanfari et al., 2015</xref>; <xref ref-type="bibr" rid="B12">Hashemipour et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Peng et al., 2016</xref>; <xref ref-type="bibr" rid="B25">Méndez-Zamora et al., 2017</xref>; <xref ref-type="bibr" rid="B33">Reyer et al. 2017</xref>; <xref ref-type="bibr" rid="B6">Chowdhury et al., 2018</xref>), demonstrating their influence on feed intake, growth enhancement, blood parameters, and meat quality. <xref ref-type="bibr" rid="B38">Silva-Vazquez et al. (2017)</xref> indicated that Greek (<italic>Origanum vulgare</italic> L. ssp. <italic>Hirtum</italic>), Turkish (<italic>Origanum onites</italic> L.), Spanish (<italic>Thymus capitatus</italic> L.), and Mexican oreganos (<italic>Lippia graveolens</italic> HBK, <italic>Lippia berlandieri</italic> Schauer, <italic>Lippia palmeri</italic> Watson, and <italic>Poliominthaa longiflora</italic> Gray) are important essential oil-producing species. In general, extracts of <italic>Origanum vulgare</italic> L. and <italic>Origanum onites</italic> L., or their mixtures have been studied extensively in broilers. In contrast, comparatively little research has been reported on the effects of Mexican oregano essential oils (MOO) on broiler performance, blood parameters, and meat quality (<xref ref-type="bibr" rid="B23">Méndez-Zamora et al., 2015a</xref>,<xref ref-type="bibr" rid="B24">b</xref>; <xref ref-type="bibr" rid="B37">Silva-Vázquez et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Méndez-Zamora et al., 2017</xref>). <xref ref-type="bibr" rid="B38">Silva-Vazquez et al. (2017)</xref> proposed that oregano oil and its fractions can be viable alternatives to the synthetic antioxidants widely used in foods and animal feed. Accordingly, it is important to expand research on these very promising MOO for use in poultry production.</p>
			<p>The objective of the current study was to investigate the effects of two Mexican oregano essential oils, <italic>Lippia berlandieri</italic> Schauer and <italic>Poliomintha longiflora</italic> Gray, on broiler performance, blood parameters, carcass variables, and meat quality.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>The research was conducted in Chihuahua City, Chihuahua, Mexico, located between 28°38′ N and 106°04′ W parallels, at an altitude of 1,440 m, with a mean annual temperature 20 °C, annual precipitation between 200-600 mm, and in a temperate dry climate (<xref ref-type="bibr" rid="B15">INEGI, 2017</xref>). Research on broilers was conducted in accordance with animal use committee guidelines (case no. NOM-062-ZOO-1999).</p>
			<p>A total of 360 one-day-old Ross 308 mixed-sex broiler chicks (42.68±1.38 g) were randomly assigned to four treatments (diets) in which essential oils from two Mexican oreganos, <italic>Lippia berlandieri</italic> Schauer (LBS) and <italic>Poliomintha longiflora</italic> Gray (PLG), were evaluated: control diet, without MOO; control + 0.40 g of LBS/kg of feed; control + 0.40 g of PLG/kg; and control + 0.40 g of LBS/kg + 0.40 g of PLG/kg. Each treatment consisted of six replicate floor pens (1.25 × 1.25 × 0.70 m), with fresh wood shavings, and 15 broilers in each pen. Mexican oregano essential oils used in the study were purchased from Natural Solutions Company SMI (Jimenez, Chihuahua, Mexico). The MOO composition (<xref ref-type="table" rid="t1">Table 1</xref>) was obtained by gas chromatography (PerkinElmer Clarus 600 and SQ8 GC/MS; PerkinElmer Inc., Waltham, MA, USA) according to the method of <xref ref-type="bibr" rid="B7">Dunford and Silva (2005)</xref>.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Essential oil composition of Mexican oregano</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="33%">
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Component (vol%)<xref ref-type="table-fn" rid="TFN2">1</xref>
							</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Mexican oregano</th>
						</tr>
						<tr>
							<th align="center">LBS</th>
							<th align="center">PLG</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Carvacrol</td>
							<td align="center">60.02</td>
							<td align="center">13.89</td>
						</tr>
						<tr>
							<td align="left">Thymol</td>
							<td align="center">3.96</td>
							<td align="center">28.49</td>
						</tr>
						<tr>
							<td align="left">Cineole 1,8</td>
							<td align="center">23.63</td>
							<td align="center">0.56</td>
						</tr>
						<tr>
							<td align="left">p-cymene</td>
							<td align="center">9.57</td>
							<td align="center">5.53</td>
						</tr>
						<tr>
							<td align="left">γ-terpinene</td>
							<td align="center">0.11</td>
							<td align="center">17.85</td>
						</tr>
						<tr>
							<td align="left">Menthol</td>
							<td align="center">ND</td>
							<td align="center">0.80</td>
						</tr>
						<tr>
							<td align="left">Eugenol</td>
							<td align="center">ND</td>
							<td align="center">0.62</td>
						</tr>
						<tr>
							<td align="left">Others</td>
							<td align="center">2.71</td>
							<td align="center">32.26</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1">
						<p>LBS - <italic>Lippia berlandieri</italic> Schauer; PLG - <italic>Poliomintha longiflora</italic> Gray; ND - not detected.</p>
					</fn>
					<fn id="TFN2">
						<label>1</label>
						<p>Components were analyzed by GC/MS Clarus SQ 8 (PerkinElmer<sup>®</sup>).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>The starter diet for broilers of 0-21 days of age and finisher diet for broilers of 22-42 days of age were formulated according to <xref ref-type="bibr" rid="B30">NRC (1994)</xref> and as used by <xref ref-type="bibr" rid="B37">Silva-Vázquez et al. (2015)</xref>. The MOO were mixed with canola oil as carrier and added to the basal control diet as previously indicated (<xref ref-type="bibr" rid="B37">Silva-Vázquez et al., 2015</xref>). Feed and water were provided <italic>ad libitum</italic>. Husbandry practices were applied according to <xref ref-type="bibr" rid="B35">Roofchaee et al. (2011)</xref> and <xref ref-type="bibr" rid="B37">Silva-Vázquez et al. (2015)</xref>. The temperature was set at 34 °C on the first day, followed by 32 °C over the remainder of the first week, then was reduced by 3 °C per week until it reached 23 °C. The relative humidity fluctuated between 25 and 75%. Lighting was provided 22 h/day.</p>
			<p>Broiler initial weight (IW; g) was determined at the beginning of the experiment. Broiler body weight (BW), feed intake [FI; (intake of feed per week/number of broilers per pen)], water intake [WI; (intake of water per week/number of broilers per pen)], average daily gain [ADG; (BW<sub>current</sub> − BW<sub>previous</sub>)/day], and feed conversion ratio (FCR; BW/FI) were determined at 7, 14, 21, 28, 35, and 42 days. The offered and rejected feed weights were recorded.</p>
			<p>Blood sampling and blood characterization were performed according to the method of <xref ref-type="bibr" rid="B13">Hong et al. (2012)</xref> with modifications. Blood samples of one randomly selected broiler per pen (n = 6 broilers per treatment) were obtained from the wing vein at 42 days. Immediately after collection, blood was set at 4 °C, then serum was separated by centrifugation at 1,500 × <italic>g</italic> for 15 min. Cholesterol (CHOL), triglycerides (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and very low-density lipoprotein (VLDL) were measured with a biochemical analyzer (KONTROLab<sup>®</sup> EKEM, Roma, Italy) using commercial reagents (Stanbio Laboratory, Boerne, TX, USA). Complete blood cell count was determined according the methods of <xref ref-type="bibr" rid="B22">Medway et al. (1969)</xref> and <xref ref-type="bibr" rid="B21">Maxine (1984)</xref>.</p>
			<p>The slaughter process was carried out according to the Official Mexican Standard (<xref ref-type="bibr" rid="B28">NOM-033-SAG/ZOO, 2014</xref>) and the method of <xref ref-type="bibr" rid="B23">Méndez-Zamora et al. (2015a</xref>). Twenty-four randomly selected broilers from each treatment (four broilers per pen), were slaughtered at 42 days (electrically stunned at 70 V, killed by cervical dislocation). Slaughter weight (SW) and hot carcass weight (HCW) were recorded, and hot carcass yield [HCY; (HCW/SW) × 100] was calculated. The cold carcass weight (CCW) was taken 24 h <italic>post mortem</italic> to determine the cold carcass yield [CCY; (CCW/SW) × 100].</p>
			<p>Twelve carcasses were randomly selected from each treatment (two carcasses per replicate). Cut pieces of each carcass were made to record the weights of legs, thighs, hips, backs, wings, and breasts for each broiler. These weights were expressed as a percentage of SW and were considered as piece variables [% piece = (piece weight/SW) × 100]. Similarly, cooking loss (CL) was evaluated for twelve carcass pieces according to the method applied by <xref ref-type="bibr" rid="B20">López et al. (2011)</xref> and was determined through the formula %CL = [(raw weight piece − cooked weight piece)/raw weight piece] × 100.</p>
			<p>The chemical composition analysis of the breasts (n = 12) and legs (n = 12) was performed in triplicate 24 h <italic>post mortem</italic> according to methods of the <xref ref-type="bibr" rid="B3">AOAC (1998)</xref>. Moisture was measured by weight loss after 12-h drying at 100 °C in a forced-air oven (code 950.46). Protein contents were determined by the Kjeldahl method (code 992.15). Fat content was measured by the Soxhlet extraction solvent method (code 985.15). Ash weight was measured after exposing the muscle for 4 h at 400 °C in a muffle furnace (code 920.153).</p>
			<p>Linear, quadratic, and cubic effects were analyzed to examine model fits of dependent variables, and the GLM multivariate ANOVA (MANOVA) procedure of SAS (Statistical Analysis System, version 9) was used to determine global effects of observed differences for all performance measures, fitting the treatments and days as the fixed effects, as well as their interactions. Production variables were analyzed using the MIXED procedure of SAS and the following statistical model (1) (<xref ref-type="bibr" rid="B42">Wang and Goonewardene, 2004</xref>):</p>
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							</mml:mrow>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:mtext>λ</mml:mtext>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mtext>ε</mml:mtext>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
								<mml:mi>k</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which y<italic><sub>ijk</sub></italic> = production variables measured during the experiment, µ = general mean, T<italic><sub>i</sub></italic> = effect of the <italic>i</italic>-th treatment (control, LBS, PLG, and LBS+PLG), δ<italic><sub>j</sub></italic> = effect of the <italic>j</italic>-th day of fattening (7, 14, 21, 28, 35, and 42 days), (Tδ)<italic><sub>ij</sub></italic> = fixed effect of the interaction between <italic>i</italic>-th treatment and <italic>j</italic>-th day of fattening, Ф<italic><sub>k</sub></italic><sub>(</sub><italic><sub>ij</sub></italic><sub>)</sub> = nested effect of the <italic>i</italic>-th treatment in each pen where the broilers remained for the <italic>j</italic>-th day of fattening, λ = effect of the covariate IW, and ε<italic><sub>ijk</sub></italic> = random error normally distributed with mean zero and variance σ<sup>2</sup> [ε<italic><sub>ijk</sub></italic> ~ N (0, σ<sup>2</sup>)]. Slaughter, carcass cut pieces, cooking loss, and dissected and chemical composition (moisture, protein, fat, and ash) results were analyzed with the GLM procedure and the following statistical model (2):</p>
			<disp-formula id="eq2">
				<label>(2)</label>
				<mml:math display="block" id="m2">
					<mml:mrow>
						<mml:msub>
							<mml:mi mathvariant="normal">y</mml:mi>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>=</mml:mo>
						<mml:mtext>μ</mml:mtext>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mi mathvariant="normal">T</mml:mi>
							<mml:mi>i</mml:mi>
						</mml:msub>
						<mml:mo>+</mml:mo>
						<mml:mtext>λ</mml:mtext>
						<mml:mo>+</mml:mo>
						<mml:msub>
							<mml:mtext>ε</mml:mtext>
							<mml:mrow>
								<mml:mi>i</mml:mi>
								<mml:mi>j</mml:mi>
							</mml:mrow>
						</mml:msub>
						<mml:mo>,</mml:mo>
					</mml:mrow>
				</mml:math>
			</disp-formula>
			<p>in which y<italic><sub>ij</sub></italic> = variables evaluated, µ = general mean, T<italic><sub>i</sub></italic> = effect of the <italic>i</italic>-th treatment (control, LBS, PLG and LBS+PLG); λ = effect of the covariate IW, and ε<italic><sub>ij</sub></italic> = random error normally distributed with mean zero and variance σ<sup>2</sup> [ε<italic><sub>ij</sub></italic> ~ N (0, σ<sup>2</sup>)]. A significance level of P&lt;0.05 was used to detect significant statistical difference, and when the P-value was less than 0.05, the treatment means were compared and analyzed using the instruction Adjust = Tukey.</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>Linear effects of treatments were found for BW and FI (<xref ref-type="table" rid="t2">Table 2</xref>). Quadratic and cubic effects were not seen in BW, FI, WI, ADG, and FCR. Linear, quadratic, and cubic effects of days were significant for broiler performance variables. In global effects (MANOVA), the fixed effects and interaction showed differences (P&lt;0.05) for all performance variables.</p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Global effects on performance in broilers fed diets supplemented with dietary Mexican oregano essential oil extracts</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="16%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Statistic effect</th>
							<th align="center" colspan="5" style="border-bottom: thin solid; border-color: #000000">Dependent variable</th>
						</tr>
						<tr>
							<th align="center">BW</th>
							<th align="center">FI</th>
							<th align="center">WI</th>
							<th align="center">ADG</th>
							<th align="center">FCR</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="center" colspan="6">Treatments</td>
						</tr>
						<tr>
							<td align="left">Linear</td>
							<td align="center">0.0364</td>
							<td align="center">0.0187</td>
							<td align="center">0.9852</td>
							<td align="center">0.1775</td>
							<td align="center">0.7726</td>
						</tr>
						<tr>
							<td align="left">Quadratic</td>
							<td align="center">0.0886</td>
							<td align="center">0.2380</td>
							<td align="center">0.8800</td>
							<td align="center">0.4031</td>
							<td align="center">0.6224</td>
						</tr>
						<tr>
							<td align="left">Cubic</td>
							<td align="center">0.4626</td>
							<td align="center">0.4395</td>
							<td align="center">0.8552</td>
							<td align="center">0.5678</td>
							<td align="center">0.6053</td>
						</tr>
						<tr>
							<td align="center" colspan="6">Days</td>
						</tr>
						<tr>
							<td align="left">Linear</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
						</tr>
						<tr>
							<td align="left">Quadratic</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
						</tr>
						<tr>
							<td align="left">Cubic</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">&lt;0.0001</td>
						</tr>
						<tr>
							<td align="center" colspan="6">Coefficient of determination (R<sup>2</sup>)</td>
						</tr>
						<tr>
							<td align="left">Linear</td>
							<td align="center">0.9763</td>
							<td align="center">0.9584</td>
							<td align="center">0.8823</td>
							<td align="center">0.7823</td>
							<td align="center">0.8372</td>
						</tr>
						<tr>
							<td align="left">Quadratic</td>
							<td align="center">0.9783</td>
							<td align="center">0.8746</td>
							<td align="center">0.7579</td>
							<td align="center">0.6469</td>
							<td align="center">0.8964</td>
						</tr>
						<tr>
							<td align="left">Cubic</td>
							<td align="center">0.9246</td>
							<td align="center">0.7708</td>
							<td align="center">0.6295</td>
							<td align="center">0.5192</td>
							<td align="center">0.8795</td>
						</tr>
						<tr>
							<td align="center" colspan="6">Multivariate ANOVA (MANOVA; Wilks lambda)</td>
						</tr>
						<tr>
							<td align="left">Treatments (T<sub>i</sub>)</td>
							<td align="center" colspan="5">&lt;0.0001</td>
						</tr>
						<tr>
							<td align="left">Days (δ<sub>j</sub>)</td>
							<td align="center" colspan="5">&lt;0.0001</td>
						</tr>
						<tr>
							<td align="left">(Tδ)<sub>ij</sub></td>
							<td align="center" colspan="5">&lt;0.0001</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN3">
						<p>BW - body weight; FI - feed intake; WI - water intake; ADG - average daily gain; FCR - feed conversion ratio.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Body weight was different by day (7-42 days) for each treatment, with BW being higher (P&lt;0.05) at 42 days (<xref ref-type="table" rid="t3">Table 3</xref>). Broilers given the control diet presented the highest (P&lt;0.05) weight at 42 days while those given LBS presented the lowest (P&lt;0.05). At 14, 21, 28, 35, and 42 days, weights for groups fed PLG and LBS+PLG were not different from the control groups, although BW was 0.15 kg less for these groups compared with the control. The effect of treatments on FI was different (P&lt;0.05) at 7, 14, 21, and 35 days; in general, FI was higher in the control and lower in LBS-fed group. Feed intake for groups fed PLG and LBS+PLG was not different (P&gt;0.05) from control at 14 and 21 days, while groups fed LBS and PLG were not different (P&gt;0.05) from control at 35 days. Throughout the experiment (0-42 days), FI was different (P&lt;0.05) between treatments with FI highest in control and lowest in LBS-fed broilers, although groups fed PLG and LBS+PLG were not different (P&gt;0.05) from control and LBS groups. The effect of treatment on water intake (WI) was significant (P&lt;0.05) at 14, 21, and 28 days, but there were no significant differences (P&gt;0.05) by treatment at 7, 35, and 42 days. Specifically, WI for LBS-fed group at 14, 21, and 28 days exhibited the lowest values (P&lt;0.05). From 0 to 42 days, control, PLG, and LBS+PLG broilers had the highest (P = 0.045) total water intake, while LBS-fed broilers had the lowest intake.</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Performance parameters of broilers fed diets supplemented with dietary Mexican oregano essential oil extracts</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="12%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Trait/Treatment<xref ref-type="table-fn" rid="TFN5">1</xref>
							</th>
							<th align="center" colspan="7" style="border-bottom: thin solid; border-color: #000000">Days</th>
						</tr>
						<tr>
							<th align="center">7</th>
							<th align="center">14</th>
							<th align="center">21</th>
							<th align="center">28</th>
							<th align="center">35</th>
							<th align="center" colspan="2">42</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="center" colspan="8">BW (g)</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">181.50aF</td>
							<td align="center">465.33aE</td>
							<td align="center">891.50aD</td>
							<td align="center">1,478.17aC</td>
							<td align="center">2,067.17aB</td>
							<td align="center" colspan="2">2,641.50aA</td>
						</tr>
						<tr>
							<td align="left">LBS</td>
							<td align="center">170.00bF</td>
							<td align="center">384.83bE</td>
							<td align="center">737.16bD</td>
							<td align="center">1,286.83bC</td>
							<td align="center">1,878.50bB</td>
							<td align="center" colspan="2">2,423.17bA</td>
						</tr>
						<tr>
							<td align="left">PLG</td>
							<td align="center">159.94bF</td>
							<td align="center">438.17aE</td>
							<td align="center">879.83aD</td>
							<td align="center">1,437.17aC</td>
							<td align="center">1,983.50abB</td>
							<td align="center" colspan="2">2,500.50abA</td>
						</tr>
						<tr>
							<td align="left">LBS+PLG</td>
							<td align="center">159.83bF</td>
							<td align="center">429.50abE</td>
							<td align="center">851.50aD</td>
							<td align="center">1,422.17aC</td>
							<td align="center">1,952.50abB</td>
							<td align="center" colspan="2">2,501.83abA</td>
						</tr>
						<tr>
							<td align="left">SEM</td>
							<td align="center">4.48</td>
							<td align="center">13.33</td>
							<td align="center">17.65</td>
							<td align="center">31.39</td>
							<td align="center">35.26</td>
							<td align="center" colspan="2">53.44</td>
						</tr>
						<tr>
							<td align="left">P-value</td>
							<td align="center">0.0014</td>
							<td align="center">0.0086</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">0.0055</td>
							<td align="center">0.0145</td>
							<td align="center" colspan="2">0.0237</td>
						</tr>
						<tr>
							<td align="left" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000"/>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">7</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">14</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">21</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">28</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">35</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">42</td>
							<td align="center" style="border-bottom: thin solid;border-top: thin solid; border-color: #000000">0-42</td>
						</tr>
						<tr>
							<td align="center" colspan="8">FI (g)</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">150.00aE</td>
							<td align="center">406.67aD</td>
							<td align="center">678.33aC</td>
							<td align="center">980.00B</td>
							<td align="center">1,033.33aB</td>
							<td align="center">1,225.00A</td>
							<td align="center">4,471.95a</td>
						</tr>
						<tr>
							<td align="left">LBS</td>
							<td align="center">140.00bF</td>
							<td align="center">308.33bE</td>
							<td align="center">550.00bD</td>
							<td align="center">896.67C</td>
							<td align="center">1,023.33abB</td>
							<td align="center">1,176.67A</td>
							<td align="center">4,082.51b</td>
						</tr>
						<tr>
							<td align="left">PLG</td>
							<td align="center">126.67bF</td>
							<td align="center">381.67aE</td>
							<td align="center">631.67aD</td>
							<td align="center">918.33C</td>
							<td align="center">1,025.00abB</td>
							<td align="center">1,205.00A</td>
							<td align="center">4,288.03ab</td>
						</tr>
						<tr>
							<td align="left">LBS+PLG</td>
							<td align="center">133.33bE</td>
							<td align="center">393.33aD</td>
							<td align="center">631.67aC</td>
							<td align="center">930.00B</td>
							<td align="center">936.67bB</td>
							<td align="center">1,170.00A</td>
							<td align="center">4,190.18ab</td>
						</tr>
						<tr>
							<td align="left">SEM</td>
							<td align="center">4.15</td>
							<td align="center">11.94</td>
							<td align="center">14.50</td>
							<td align="center">26.50</td>
							<td align="center">24.26</td>
							<td align="center">28.51</td>
							<td align="center">74.99</td>
						</tr>
						<tr>
							<td align="left">P-value</td>
							<td align="center">0.0031</td>
							<td align="center">0.0003</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">0.1864</td>
							<td align="center">0.0286</td>
							<td align="center">0.4480</td>
							<td align="center">0.0103</td>
						</tr>
						<tr>
							<td align="center" colspan="8">WI (g)</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">403.33D</td>
							<td align="center">971.67aC</td>
							<td align="center">1,695.00aB</td>
							<td align="center">2,253.33aA</td>
							<td align="center">2,398.33A</td>
							<td align="center">2,395.00A</td>
							<td align="center">10,115.43a</td>
						</tr>
						<tr>
							<td align="left">LBS</td>
							<td align="center">420.33E</td>
							<td align="center">703.33bD</td>
							<td align="center">1,318.33bC</td>
							<td align="center">1,955.00bB</td>
							<td align="center">2,361.67A</td>
							<td align="center">2,288.33A</td>
							<td align="center">9,220.73b</td>
						</tr>
						<tr>
							<td align="left">PLG</td>
							<td align="center">383.33D</td>
							<td align="center">923.33aC</td>
							<td align="center">1,658.33abB</td>
							<td align="center">2,285.00aA</td>
							<td align="center">2,435.00A</td>
							<td align="center">2,476.67A</td>
							<td align="center">10,162.45a</td>
						</tr>
						<tr>
							<td align="left">LBS+PLG</td>
							<td align="center">375.00D</td>
							<td align="center">881.67aC</td>
							<td align="center">1,518.33abB</td>
							<td align="center">2,333.33aA</td>
							<td align="center">2,390.00A</td>
							<td align="center">2,461.67A</td>
							<td align="center">9,958.11a</td>
						</tr>
						<tr>
							<td align="left">SEM</td>
							<td align="center">12.66</td>
							<td align="center">26.54</td>
							<td align="center">94.11</td>
							<td align="center">55.25</td>
							<td align="center">74.79</td>
							<td align="center">67.24</td>
							<td align="center">244.07</td>
						</tr>
						<tr>
							<td align="left">P-value</td>
							<td align="center">0.2180</td>
							<td align="center">&lt;0.0001</td>
							<td align="center">0.0371</td>
							<td align="center">0.0017</td>
							<td align="center">0.8984</td>
							<td align="center">0.5794</td>
							<td align="center">0.0450</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN4">
						<p>BW - body weight; FI - feed intake; WI - water intake; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN5">
						<label>1</label>
						<p>Control diet: without Mexican oregano essential oils; LBS: control + 0.40 g of <italic>Lippia berlandieri</italic> Schauer (LBS)/kg of feed; PLG: control + 0.40 g of <italic>Poliomintha longiflora</italic> Gray (PLG)/kg; LBS+PLG: control + 0.40 g of LBS/kg + 0.40 g of PLG/kg.</p>
					</fn>
					<fn id="TFN6">
						<p>a,b - Means (n = 6 replicate) in columns and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
					<fn id="TFN7">
						<p>A-F - Means (n = 6 replicate) in rows and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Production efficiency was affected (P&lt;0.05) over time and between treatments (<xref ref-type="table" rid="t4">Table 4</xref>). Average daily gain (ADG) was different (P&lt;0.05) among treatments at 7, 14, 21, and 28 days, but was not different (P&gt;0.05) among treatments at 35 and 42 days. Specifically, treatments affected (P&lt;0.05) ADG in the period from 7 to 28 days, in which LBS was generally signicantly (P&lt;0.05) lower and ADG for control group was slightly higher than that for PLG and LBS+PLG groups. Total ADG from 0 to 42 days for control broilers was higher (P&lt;0.05) than that for LBS broilers and showed improvement over broilers given PLG and LBS+PLG. Within treatment, FCR changed (P&lt;0.05) over time with FCR at 7 days being the lowest and highest at 42 days. The FCR between treatments was different (P&lt;0.05) at 14, 28, and 35 days, but did not differ (P&gt;0.05) at days 7, 21, and 42 (<xref ref-type="table" rid="t4">Table 4</xref>). Broilers given LBS presented maximum efficiency at 14 days and the lowest at 28 and 35 days, while PLG-fed broilers had the highest (P&lt;0.05) FCR at 28 days and the lowest (P&lt;0.05) at 14 days, and the LBS+PLG group was the best (P&lt;0.05) at 35 days. Throughout the experiment (0-42 days), FCR was not different (P&gt;0.05) among treatments.</p>
			<table-wrap id="t4">
				<label>Table 4</label>
				<caption>
					<title>Production efficiency of broilers fed diets supplemented with dietary Mexican oregano essential oil extracts</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="12%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" rowspan="2" valign="middle">Trait/Treatment<xref ref-type="table-fn" rid="TFN9">1</xref>
							</th>
							<th align="center" colspan="7" style="border-bottom: thin solid; border-color: #000000">Days</th>
						</tr>
						<tr>
							<th align="center">7</th>
							<th align="center">14</th>
							<th align="center">21</th>
							<th align="center">28</th>
							<th align="center">35</th>
							<th align="center">42</th>
							<th align="center">0-42</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="center" colspan="8">ADG (g)</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">19.98aD</td>
							<td align="center">34.59aC</td>
							<td align="center">54.95aB</td>
							<td align="center">77.86aA</td>
							<td align="center">78.21A</td>
							<td align="center">76.12A</td>
							<td align="center">61.88a</td>
						</tr>
						<tr>
							<td align="left">LBS</td>
							<td align="center">16.98bC</td>
							<td align="center">28.11bC</td>
							<td align="center">46.52bB</td>
							<td align="center">62.05bA</td>
							<td align="center">79.38A</td>
							<td align="center">74.18A</td>
							<td align="center">56.69b</td>
						</tr>
						<tr>
							<td align="left">PLG</td>
							<td align="center">16.40bD</td>
							<td align="center">33.00abC</td>
							<td align="center">56.48aB</td>
							<td align="center">73.00aA</td>
							<td align="center">71.48A</td>
							<td align="center">67.23A</td>
							<td align="center">58.50ab</td>
						</tr>
						<tr>
							<td align="left">LBS+PLG</td>
							<td align="center">16.04bD</td>
							<td align="center">31.72abC</td>
							<td align="center">53.51aB</td>
							<td align="center">74.71aA</td>
							<td align="center">69.02A</td>
							<td align="center">71.66A</td>
							<td align="center">58.54ab</td>
						</tr>
						<tr>
							<td align="left">SEM</td>
							<td align="center">0.63</td>
							<td align="center">1.59</td>
							<td align="center">1.86</td>
							<td align="center">3.12</td>
							<td align="center">2.55</td>
							<td align="center">5.69</td>
							<td align="center">1.37</td>
						</tr>
						<tr>
							<td align="left">P-value</td>
							<td align="center">0.0018</td>
							<td align="center">0.0231</td>
							<td align="center">0.0041</td>
							<td align="center">0.0074</td>
							<td align="center">0.0634</td>
							<td align="center">0.5215</td>
							<td align="center">0.0496</td>
						</tr>
						<tr>
							<td align="center" colspan="8">FCR</td>
						</tr>
						<tr>
							<td align="left">Control</td>
							<td align="center">1.21ED</td>
							<td align="center">1.14abE</td>
							<td align="center">1.32D</td>
							<td align="center">1.51abC</td>
							<td align="center">2.01abB</td>
							<td align="center">2.16A</td>
							<td align="center">1.69</td>
						</tr>
						<tr>
							<td align="left">LBS</td>
							<td align="center">1.22E</td>
							<td align="center">1.26aDE</td>
							<td align="center">1.35CD</td>
							<td align="center">1.44bC</td>
							<td align="center">1.84bB</td>
							<td align="center">2.07A</td>
							<td align="center">1.69</td>
						</tr>
						<tr>
							<td align="left">PLG</td>
							<td align="center">1.27E</td>
							<td align="center">1.14bE</td>
							<td align="center">1.39D</td>
							<td align="center">1.56aC</td>
							<td align="center">1.94abB</td>
							<td align="center">2.08A</td>
							<td align="center">1.72</td>
						</tr>
						<tr>
							<td align="left">LBS+PLG</td>
							<td align="center">1.21CD</td>
							<td align="center">1.09abD</td>
							<td align="center">1.35C</td>
							<td align="center">1.53abB</td>
							<td align="center">2.09aA</td>
							<td align="center">2.14A</td>
							<td align="center">1.68</td>
						</tr>
						<tr>
							<td align="left">SEM</td>
							<td align="center">0.02</td>
							<td align="center">0.03</td>
							<td align="center">0.02</td>
							<td align="center">0.03</td>
							<td align="center">0.05</td>
							<td align="center">0.05</td>
							<td align="center">0.04</td>
						</tr>
						<tr>
							<td align="left">P-value</td>
							<td align="center">0.2295</td>
							<td align="center">0.0119</td>
							<td align="center">0.1490</td>
							<td align="center">0.0383</td>
							<td align="center">0.0283</td>
							<td align="center">0.4859</td>
							<td align="center">0.8352</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN8">
						<p>ADG - average daily gain; FCR - feed conversion ratio; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN9">
						<label>1</label>
						<p>Control diet: without Mexican oregano essential oils; LBS: control + 0.40 g of <italic>Lippia berlandieri</italic> Schauer (LBS)/kg of feed; PLG: control + 0.40 g of <italic>Poliomintha longiflora</italic> Gray (PLG)/kg; LBS+PLG: control + 0.40 g of LBS/kg + 0.40 g of PLG/kg.</p>
					</fn>
					<fn id="TFN10">
						<p>a,b - Means (n = 6 replicate) in columns and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
					<fn id="TFN11">
						<p>A-E - Means (n = 6 replicate) in rows and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Hematological biometry (<xref ref-type="table" rid="t5">Table 5</xref>) for leukocytes, lymphocytes, hematocrit, and hemoglobin concentrations were influenced by treatments (P&lt;0.05). Leukocytes and lymphocytes were higher (P&lt;0.05) in broilers fed LBS+PLG and PLG than in the congrol group. The hematocrit volume percentage (%vol) and hemoglobin content in control broilers were the highest (P&lt;0.05) and lowest (P&lt;0.05) in the LBS group. Of the lipid components, only LDL was affected by the treatment, with PLG and LBS+PLG broilers presenting the highest values (P&lt;0.05) and control the lowest (P&lt;0.05). There were no differences (P&gt;0.05) among treatment groups for the remaining blood components.</p>
			<table-wrap id="t5">
				<label>Table 5</label>
				<caption>
					<title>Blood profile of broilers fed diets supplemented with dietary Mexican oregano essential oil extracts at 42 days</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="14%">
						<col width="1%"/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" colspan="2" rowspan="2" valign="middle">Parameter</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Treatment<xref ref-type="table-fn" rid="TFN13">1</xref>
							</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" rowspan="2" valign="middle">P-value</th>
						</tr>
						<tr>
							<th align="center">Control</th>
							<th align="center">LBS</th>
							<th align="center">PLG</th>
							<th align="center">LBS+PLG</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="2">Hematological biometry</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Leukocytes (10<sup>3</sup>/µL)</td>
							<td align="center">17.7b</td>
							<td align="center">21.00ab</td>
							<td align="center">22.88a</td>
							<td align="center">25.32a</td>
							<td align="center">1.18</td>
							<td align="center">0.001</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">MCV (fl)</td>
							<td align="center">152.45</td>
							<td align="center">156.67</td>
							<td align="center">157.66</td>
							<td align="center">157.74</td>
							<td align="center">4.91</td>
							<td align="center">0.854</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">MCH (pg)</td>
							<td align="center">50.82</td>
							<td align="center">52.22</td>
							<td align="center">52.55</td>
							<td align="center">52.58</td>
							<td align="center">1.64</td>
							<td align="center">0.854</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Heterophile (10<sup>3</sup>/µL)</td>
							<td align="center">5.80</td>
							<td align="center">6.32</td>
							<td align="center">7.02</td>
							<td align="center">6.34</td>
							<td align="center">0.86</td>
							<td align="center">0.800</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Lymphocytes (10<sup>3</sup>/µL)</td>
							<td align="center">10.64b</td>
							<td align="center">13.75ab</td>
							<td align="center">14.83a</td>
							<td align="center">16.91a</td>
							<td align="center">0.91</td>
							<td align="center">0.001</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Monocytes (10<sup>3</sup>/µL)</td>
							<td align="center">0.84</td>
							<td align="center">0.52</td>
							<td align="center">0.66</td>
							<td align="center">0.87</td>
							<td align="center">0.12</td>
							<td align="center">0.150</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Eosinophils (10<sup>3</sup>/µL)</td>
							<td align="center">0.42</td>
							<td align="center">0.45</td>
							<td align="center">0.38</td>
							<td align="center">0.53</td>
							<td align="center">0.09</td>
							<td align="center">0.653</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Erythrocytes (10<sup>6</sup>/µL)</td>
							<td align="center">2.78</td>
							<td align="center">2.39</td>
							<td align="center">2.48</td>
							<td align="center">2.64</td>
							<td align="center">0.11</td>
							<td align="center">0.114</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Hematocrit (vol%)</td>
							<td align="center">41.83a</td>
							<td align="center">37.33b</td>
							<td align="center">38.83ab</td>
							<td align="center">41.50ab</td>
							<td align="center">1.06</td>
							<td align="center">0.019</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Hemoglobin (g/dL)</td>
							<td align="center">13.94a</td>
							<td align="center">12.45b</td>
							<td align="center">12.95ab</td>
							<td align="center">13.83ab</td>
							<td align="center">0.35</td>
							<td align="center">0.019</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Lipids and lipoprotein profile (mg/dL)</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Cholesterol</td>
							<td align="center">126.17</td>
							<td align="center">121.50</td>
							<td align="center">126.33</td>
							<td align="center">136.17</td>
							<td align="center">5.93</td>
							<td align="center">0.378</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Triglycerides</td>
							<td align="center">27.17</td>
							<td align="center">29.00</td>
							<td align="center">29.67</td>
							<td align="center">28.00</td>
							<td align="center">2.50</td>
							<td align="center">0.899</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">HDL</td>
							<td align="center">91.83</td>
							<td align="center">83.67</td>
							<td align="center">78.67</td>
							<td align="center">88.33</td>
							<td align="center">4.12</td>
							<td align="center">0.158</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">LDL</td>
							<td align="center">28.90b</td>
							<td align="center">32.03ab</td>
							<td align="center">41.73a</td>
							<td align="center">42.23a</td>
							<td align="center">3.45</td>
							<td align="center">0.025</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">VLDL</td>
							<td align="center">5.43</td>
							<td align="center">5.80</td>
							<td align="center">5.93</td>
							<td align="center">5.60</td>
							<td align="center">0.50</td>
							<td align="center">0.899</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN12">
						<p>MCV - mean corpuscular volume; MCH - mean corpuscular hemoglobin; HDL - high-density lipoprotein; LDL - low-density lipoprotein; VLDL - very low-density lipoprotein; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN13">
						<label>1</label>
						<p>Control diet: without Mexican oregano essential oils; LBS: control + 0.40 g of <italic>Lippia berlandieri</italic> Schauer (LBS)/kg of feed; PLG: control + 0.40 g of <italic>Poliomintha longiflora</italic> Gray (PLG)/kg; LBS+PLG: control + 0.40 g of LBS/kg + 0.40 g of PLG/kg.</p>
					</fn>
					<fn id="TFN14">
						<p>a,b - Means (n = 6 birds) in rows and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Slaughter variables, carcass piece yields, and cooking loss were influenced by treatment (<xref ref-type="table" rid="t6">Table 6</xref>). The LBS-fed group had the lowest (P&lt;0.05) HCY (<xref ref-type="table" rid="t6">Table 6</xref>). While HCY of control was only slightly higher, it was not different (P&gt;0.05) from that for broilers fed PLG and LBS+PLG. Cold carcass yields were not affected (P&gt;0.05) by treatment. In carcass piece yields, leg and hip pieces were influenced (P&lt;0.05) by treatment with LBS presenting the best leg yield, while LBS+PLG and control presenting the lowest. Hips from control broilers had the highest yield (P&lt;0.05), without differing (P&gt;0.05) from yields of broilers fed LBS and LBS+PLG, and PLG-fed broilers had the lowest (P&lt;0.05). Thighs, backs, wings, and breasts were not influenced (P&gt;0.05) by the treatment. On the other hand, hip and back cooking loss (<xref ref-type="table" rid="t6">Table 6</xref>) were affected (P&lt;0.05) by treatment. Hip CL was highest (P&lt;0.05) in LBS-fed broilers, while back CL was highest (P&lt;0.05) for control and LBS-fed broilers. Legs, thighs, wings, and breasts were not influenced (P&gt;0.05) by treatment with Mexican oregano oil.</p>
			<table-wrap id="t6">
				<label>Table 6</label>
				<caption>
					<title>Influence of Mexican oregano essential oil extracts on slaugther variables, carcass piece yields, and cooking loss of broilers at 42 days</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="14%">
						<col width="1%"/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" colspan="2" rowspan="2" valign="middle">Variable</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Treatment<xref ref-type="table-fn" rid="TFN16">1</xref>
							</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" rowspan="2" valign="middle">P-value</th>
						</tr>
						<tr>
							<th align="center">Control</th>
							<th align="center">LBS</th>
							<th align="center">PLG</th>
							<th align="center">LBS+PLG</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="2">SW (kg)</td>
							<td align="center">2.83a</td>
							<td align="center">2.43c</td>
							<td align="center">2.72ab</td>
							<td align="center">2.62b</td>
							<td align="center">0.04</td>
							<td align="center">0.001</td>
						</tr>
						<tr>
							<td align="left" colspan="2">HCY (%)</td>
							<td align="center">73.41a</td>
							<td align="center">70.16b</td>
							<td align="center">72.98a</td>
							<td align="center">72.42a</td>
							<td align="center">0.40</td>
							<td align="center">0.001</td>
						</tr>
						<tr>
							<td align="left" colspan="2">CCY (%)</td>
							<td align="center">72.67</td>
							<td align="center">72.45</td>
							<td align="center">73.25</td>
							<td align="center">73.50</td>
							<td align="center">0.41</td>
							<td align="center">0.234</td>
						</tr>
						<tr>
							<td align="left" colspan="8">Piece yield (%)<xref ref-type="table-fn" rid="TFN17">2</xref>
							</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Leg</td>
							<td align="center">11.32b</td>
							<td align="center">12.26a</td>
							<td align="center">11.69ab</td>
							<td align="center">11.34b</td>
							<td align="center">0.26</td>
							<td align="center">0.050</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Thigh</td>
							<td align="center">10.26</td>
							<td align="center">10.42</td>
							<td align="center">10.12</td>
							<td align="center">9.81</td>
							<td align="center">0.23</td>
							<td align="center">0.292</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Hip</td>
							<td align="center">8.40a</td>
							<td align="center">7.99ab</td>
							<td align="center">7.55b</td>
							<td align="center">7.82ab</td>
							<td align="center">0.22</td>
							<td align="center">0.060</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Back</td>
							<td align="center">6.07</td>
							<td align="center">5.61</td>
							<td align="center">5.53</td>
							<td align="center">5.81</td>
							<td align="center">0.16</td>
							<td align="center">0.101</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Wings</td>
							<td align="center">8.00</td>
							<td align="center">8.11</td>
							<td align="center">7.90</td>
							<td align="center">7.84</td>
							<td align="center">0.22</td>
							<td align="center">0.830</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Breast</td>
							<td align="center">29.48</td>
							<td align="center">29.32</td>
							<td align="center">29.59</td>
							<td align="center">30.34</td>
							<td align="center">0.59</td>
							<td align="center">0.622</td>
						</tr>
						<tr>
							<td align="left" colspan="8">Cooking loss (%)</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Leg</td>
							<td align="center">10.30</td>
							<td align="center">10.83</td>
							<td align="center">11.71</td>
							<td align="center">10.84</td>
							<td align="center">1.35</td>
							<td align="center">0.905</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Thigh</td>
							<td align="center">7.80</td>
							<td align="center">6.73</td>
							<td align="center">6.69</td>
							<td align="center">8.96</td>
							<td align="center">1.53</td>
							<td align="center">0.690</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Hip</td>
							<td align="center">8.59b</td>
							<td align="center">15.35a</td>
							<td align="center">10.66b</td>
							<td align="center">10.80b</td>
							<td align="center">1.14</td>
							<td align="center">0.003</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Back</td>
							<td align="center">13.60a</td>
							<td align="center">13.60a</td>
							<td align="center">9.34b</td>
							<td align="center">9.31b</td>
							<td align="center">1.34</td>
							<td align="center">0.038</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Wings</td>
							<td align="center">6.42</td>
							<td align="center">5.62</td>
							<td align="center">4.03</td>
							<td align="center">5.80</td>
							<td align="center">1.19</td>
							<td align="center">0.544</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Breast</td>
							<td align="center">11.65</td>
							<td align="center">11.61</td>
							<td align="center">10.23</td>
							<td align="center">9.60</td>
							<td align="center">0.91</td>
							<td align="center">0.314</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN15">
						<p>SW - slaughter weight; HCY - hot carcass yield; CCY - cold carcass yield; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN16">
						<label>1</label>
						<p>Control diet: without Mexican oregano essential oils; LBS: control + 0.40 g of <italic>Lippia berlandieri</italic> Schauer (LBS)/kg of feed; PLG: control + 0.40 g of <italic>Poliomintha longiflora</italic> Gray (PLG)/kg; LBS+PLG: control + 0.40 g of LBS/kg + 0.40 g of PLG/kg.</p>
					</fn>
					<fn id="TFN17">
						<label>2</label>
						<p>% = (piece or carcass weight/SW)×100.</p>
					</fn>
					<fn id="TFN18">
						<p>a-c - Means (n = 24 carcasses to slaughter; n = 12 carcass to piece yield and cooking loss) in rows and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Protein and fat composition of breast meat were influenced (P&lt;0.05) by treatment (<xref ref-type="table" rid="t7">Table 7</xref>), but leg composition was not affected (P&gt;0.05). Protein content in breast meat of control broilers was highest (P&lt;0.05) and the lowest (P&lt;0.05) in LB-fed broilers. However, values of PLG and LBS+PLG treatments were not different from control and from LBS. Fat content was highest (P&lt;0.05) in breast meat from broilers fed LBS+PLG and lowest (P&lt;0.05) in meat from control broilers. Breast meat fat content in LBS- and PLG-fed broilers was not different (P&gt;0.05) from control and LBS+PLG broilers.</p>
			<table-wrap id="t7">
				<label>Table 7</label>
				<caption>
					<title>Influence of Mexican oregano oils on chemical composition of breast and leg meat</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="12%">
						<col width="1%"/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
					</colgroup>
					<thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
						<tr>
							<th align="left" colspan="2" rowspan="2" valign="middle">Piece composition</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Treatment<xref ref-type="table-fn" rid="TFN20">1</xref>
							</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" rowspan="2" valign="middle">P-value</th>
						</tr>
						<tr>
							<th align="center">Control</th>
							<th align="center">LBS</th>
							<th align="center">PLG</th>
							<th align="center">LBS+PLG</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left" colspan="2">Breast (%)<xref ref-type="table-fn" rid="TFN21">2</xref>
							</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Moisture</td>
							<td align="center">74.13</td>
							<td align="center">73.65</td>
							<td align="center">73.82</td>
							<td align="center">73.94</td>
							<td align="center">0.24</td>
							<td align="center">0.895</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Protein</td>
							<td align="center">23.06a</td>
							<td align="center">22.33b</td>
							<td align="center">22.85ab</td>
							<td align="center">22.85ab</td>
							<td align="center">0.14</td>
							<td align="center">0.006</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Fat</td>
							<td align="center">1.00b</td>
							<td align="center">1.06ab</td>
							<td align="center">1.04ab</td>
							<td align="center">1.13a</td>
							<td align="center">0.03</td>
							<td align="center">0.050</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ash</td>
							<td align="center">1.15</td>
							<td align="center">1.19</td>
							<td align="center">1.20</td>
							<td align="center">1.15</td>
							<td align="center">0.03</td>
							<td align="center">0.408</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Leg (%)</td>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
							<td align="center"/>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Moisture</td>
							<td align="center">76.02</td>
							<td align="center">76.08</td>
							<td align="center">76.15</td>
							<td align="center">75.82</td>
							<td align="center">0.12</td>
							<td align="center">0.265</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Protein</td>
							<td align="center">20.26</td>
							<td align="center">20.17</td>
							<td align="center">20.06</td>
							<td align="center">20.33</td>
							<td align="center">0.12</td>
							<td align="center">0.439</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Fat</td>
							<td align="center">1.62</td>
							<td align="center">1.67</td>
							<td align="center">1.65</td>
							<td align="center">1.71</td>
							<td align="center">0.03</td>
							<td align="center">0.338</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="left">Ash</td>
							<td align="center">1.07</td>
							<td align="center">1.09</td>
							<td align="center">1.10</td>
							<td align="center">1.06</td>
							<td align="center">0.02</td>
							<td align="center">0.501</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN19">
						<p>SEM - standard error of the mean; SW - slaughter weight.</p>
					</fn>
					<fn id="TFN20">
						<label>1</label>
						<p>Control diet: without Mexican oregano essential oils; LBS: control + 0.40 g of <italic>Lippia berlandieri</italic> Schauer (LBS)/kg of feed; PLG: control + 0.40 g of <italic>Poliomintha longiflora</italic> Gray (PLG)/kg; LBS+PLG: control + 0.40 g of LBS/kg + 0.40 g of PLG/kg.</p>
					</fn>
					<fn id="TFN21">
						<label>2</label>
						<p>% = (piece or carcass weight/SW)×100.</p>
					</fn>
					<fn id="TFN22">
						<p>a-b - Means (n = 12; two breasts per replicate) in rows and with different letters are significantly different (P&lt;0.05).</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>In the current study, linear effects of treatments for broiler BW and FI were similar to those reported by <xref ref-type="bibr" rid="B11">Hashemipour et al. (2013)</xref>, <xref ref-type="bibr" rid="B10">Giannenas et al. (2014)</xref>, <xref ref-type="bibr" rid="B14">Hossain et al. (2014)</xref>, and <xref ref-type="bibr" rid="B2">Alba et al. (2015)</xref>, using natural compounds to enhance broiler performance. The R<sup>2</sup> values showed that the best analysis for treatments is the linear model, while the linear, quadratic, and cubic models were useful for indicating broiler performance over time.</p>
			<p>The effects found in the current study with 0.4 g of MOO/kg of feed coincided with results from recent studies with plant extracts in diets on broiler performance and feed efficiency (<xref ref-type="bibr" rid="B5">Cho et al., 2014</xref>; <xref ref-type="bibr" rid="B16">Khattak et al., 2014</xref>; <xref ref-type="bibr" rid="B31">Park et al., 2014</xref>; <xref ref-type="bibr" rid="B9">Ghazi et al., 2015</xref>; <xref ref-type="bibr" rid="B40">Sun et al., 2015</xref>; <xref ref-type="bibr" rid="B12">Hashemipour et al., 2016</xref>; <xref ref-type="bibr" rid="B32">Peng et al., 2016</xref>; <xref ref-type="bibr" rid="B6">Chowdhury et al., 2018</xref>). Specifically, <xref ref-type="bibr" rid="B33">Reyer et al. (2017)</xref> revealed improved growth performance in all groups fed the phytogenic additives [25.0 mg of an essential oil blend (star anise, rosemary, thyme, and oregano)/kg of feed, 46.0 mg of a <italic>Quillaja</italic> saponin blend/kg, or a combination of both preparations (essential oils + saponins)] compared with control broilers from 8 to 21 days; our results at 21 days with PLG and LBS+PLG in feed was not different from the control group. At 42 days of the current study, body weight was maintained by MOO treatments, results similar to those of <xref ref-type="bibr" rid="B17">Kırkpınar et al. (2011)</xref>, <xref ref-type="bibr" rid="B5">Cho et al. (2014)</xref>, and <xref ref-type="bibr" rid="B26">Mohiti-Asli and Ghanaatparast-Rashti (2015)</xref>, who found that 300 and 500 ppm of OEO and 250 mg/kg of feed of phytogenic (oregano, carvacrol, cinnamaldehyde) supplements maintained broiler weight over 22-35 days and 42 days, respectively. These changes may be correlated with the levels of feed additives used in those diets in association with their chemical compositions. Contrary to our results, <xref ref-type="bibr" rid="B12">Hashemipour et al. (2016)</xref> obtained improved growth performance in broilers using 300 and 600 mg of OEO/kg of feed. For our study, results indicated that MOO supplementation did not change FI and WI throughout the experiment. In the current study, essential oil extract from <italic>Poliomintha longiflora</italic> (PLG) presented FI similar to the control group, and similar to results of <xref ref-type="bibr" rid="B16">Khattak et al. (2014)</xref>, who demonstrated no change in broiler FI when evaluating mixtures of essential oils. Similar results were obtained by <xref ref-type="bibr" rid="B19">Küçükyılmaz et al. (2014)</xref> in BW and FI in the period of 0-42 days when evaluating 48 mg of a dietary OEO mixture (oregano, sage, myrtle, fennel, and citrus peel)/kg of feed.</p>
			<p>Throughout the experimental period in the current study, ADG was influenced by supplementation of MOO, but FCR was not different among treatment groups. It may be that MOO odors prepare the gastrointestinal tract for feed reception and stimulate digestive secretions (saliva, salivary amylase, lipase, amylase, and proteases) and gut motility (<xref ref-type="bibr" rid="B4">Brenes and Roura, 2010</xref>), and, as a consequence, improve ADG. These effects agree with <xref ref-type="bibr" rid="B9">Ghazi et al. (2015)</xref>, <xref ref-type="bibr" rid="B40">Sun et al. (2015)</xref>, <xref ref-type="bibr" rid="B12">Hashemipour et al. (2016)</xref>, and <xref ref-type="bibr" rid="B32">Peng et al. (2016)</xref> when evaluating 60, 250, 300, and 600 mg of OEO/kg of feed, and 100 and 200 mg of a mixture of thymol plus carvacrol/kg, respectively. Similarly, these results on production efficiency and variations in the results could be due to the composition and inclusion level of extracts. Furthermore, it is important to consider that diets formulated with OEO improve digestibility, regulate the microbiota of the intestinal ecosystem, and stimulate the secretion of endogenous digestive enzymes (<xref ref-type="bibr" rid="B9">Ghazi et al., 2015</xref>), and thymol+carvacrol could have positive effects on broiler performance (<xref ref-type="bibr" rid="B12">Hashemipour et al., 2016</xref>). The maximum efficiency at 14 days exhibed in LBS-fed broilers and 28 days in the PLG-fed broilers could be explained by results demostrated in the study carried out by <xref ref-type="bibr" rid="B33">Reyer et al. (2017)</xref>, who indicated that differences in the relative expression of intestinal transporters such as PepT1 (SLC15A1), GLUT2, and EAAT3 (SLC1A1) affect body weight and feed conversion efficiency in broilers. Analysis by <xref ref-type="bibr" rid="B33">Reyer et al. (2017)</xref> at the transcriptional level in Caco-2 cells validated these findings. Furthermore, those authors observed significant increases in membrane recruitment of SGLT1 and PEPT1 after the addition of essential oils and saponins and postulated that increases in the apparent ileal digestibility of nutrients could be explained by the interaction of tested feed additives with the epithelial function of the intestine. These mechanims of action may have occured with MOO tested in the current study. Such results may be overall benefits of phytogenic feed additives in terms of the metabolic usage of macronutrients provided by evidence at the transcriptional level by consistent alterations of lipid and carbohydrate metabolism (<xref ref-type="bibr" rid="B33">Reyer et al., 2017</xref>).</p>
			<p>Few studies have reported results on blood and lipid profiles in broilers given OEO (<xref ref-type="bibr" rid="B13">Hong et al., 2012</xref>; <xref ref-type="bibr" rid="B9">Ghazi et al., 2015</xref>; <xref ref-type="bibr" rid="B25">Méndez-Zamora et al., 2017</xref>). However, effects on blood parameters in the current study with MOO could be of interest to other researchers, in which LDL was highest in PLG- and LBPL-treated broilers. Compared with results from the current study, <xref ref-type="bibr" rid="B9">Ghazi et al. (2015)</xref> found increased blood triglyceride and cholesterol levels with their evaluation of 250 mg of oregano oil/kg of diet, while <xref ref-type="bibr" rid="B25">Méndez-Zamora et al. (2017)</xref> found that 400 mg of MOO/kg of feed increased broiler blood HDL and LDL levels. In addition, <xref ref-type="bibr" rid="B31">Park et al. (2014)</xref>, using extracts from three plants, <italic>Saposhnikovia divaricata, Lonicera japonica</italic>, and <italic>Chelidonium majus</italic>, found increases in white blood cells, red blood cells, lymphocytes, hemoglobin, and hematocrit. Likewise, other studies found blood parameter effects following treatment with OEO, anise, and powered peel citrus (<xref ref-type="bibr" rid="B13">Hong et al., 2012</xref>), extracts from <italic>Mentha spicata</italic> (<xref ref-type="bibr" rid="B27">Nanekarani et al., 2012</xref>), medicinal plants (<italic>Cuminum cyminum, Mentha piperita, Achillea millefolium, Teucrium polium</italic> (<xref ref-type="bibr" rid="B36">Sharifi et al., 2013</xref>), and coriander essential oil (<xref ref-type="bibr" rid="B8">Ghazanfari et al., 2015</xref>). In constrast, <xref ref-type="bibr" rid="B25">Méndez-Zamora et al. (2017)</xref> found no effect on blood biometric parameters with 0.40 g of OEO/kg of diet; however, those studies did obtain slightly increased levels of white blood cells, erythrocytes, and hemoglobin. Similar results were obtained in the current study, in which increased levels of leukocytes, lymphocytes, hematocrit, and hemoglobin were found with MOO as a feed supplement. The results from <xref ref-type="bibr" rid="B25">Méndez-Zamora et al. (2017)</xref> and the current study demonstrated that oregano essential oils and Mexican oregano oils, as feed supplements, could be used to improve broiler health; particularly, the MOO plant extracts, PLG-thymol, and LBS-carvacrol could have intrinsic biological effects on broiler physiology and metabolism (<xref ref-type="bibr" rid="B25">Méndez-Zamora et al., 2017</xref>).</p>
			<p>In slaughter variables, <xref ref-type="bibr" rid="B23">Méndez-Zamora et al. (2015a</xref>) found results similar to those of the current study; however, carcass yields were higher in the current study. <xref ref-type="bibr" rid="B23">Méndez-Zamora et al. (2015a</xref>) suggested that OEO stimulated digestibility, enhancing nutrient absorption, and broiler body antioxidative stability could be improved by essential oils (<xref ref-type="bibr" rid="B43">Zhai et al., 2018</xref>). <xref ref-type="bibr" rid="B16">Khattak et al. (2014)</xref> found similar carcass yields to those from the LBS treatment at 400 mg/kg of diet when they used a mixture of essential oils (15, 30, 45, and 60 mg/kg), obtaining differences between the control and 15 mg/kg treatment. Results from those studies and the current study with MOO indicated that the OEO could influence slaughter variables. In addition, diets supplemented with MOO in the current study improved carcass pieces compared with the control group. In contrast, <xref ref-type="bibr" rid="B19">Küçükyılmaz et al. (2014)</xref> found no differences in carcass yield, thighs, breasts, and wings when evaluating 28.8 mg of carvacrol/kg of feed over 81 days, but their results were higher than those of the current study. <xref ref-type="bibr" rid="B18">Kırkpınar et al. (2014)</xref> found no influence on carcass yield, breasts, and thighs when evaluating 150 and 300 mg of OEO/kg in diets. Few studies have examined the effect of essential oils on cut piece yields and cooking loss. However, <xref ref-type="bibr" rid="B23">Méndez-Zamora et al. (2015a</xref>) stated that components of oregano oil could reduce the bone weight and increase lean meat yields with applications of high levels (0.40 g/kg) of extract in broiler diets. This observation may explain leg and hip piece yields in LBS and PLG treatments. Furthermore, this observation may explain differences in carcass pieces when a thermic treatment was applied, in which hip and back cooking loss were affected by the LBS treatment.</p>
			<p>Broiler breast protein and fat content were influenced by MOO. In contrast, <xref ref-type="bibr" rid="B13">Hong et al. (2012)</xref> and <xref ref-type="bibr" rid="B18">Kırkpınar et al. (2014)</xref> found no treatment differences for breast meat chemical compositions. This discrepancy could indicate that levels above 300 mg of OEO/kg of feed do influence protein and fat content. Likewise, leg composition in the current study was similar to results obtained by <xref ref-type="bibr" rid="B13">Hong et al. (2012)</xref> and <xref ref-type="bibr" rid="B18">Kırkpınar et al. (2014)</xref>. Otherwise, <xref ref-type="bibr" rid="B39">Starčević et al. (2015)</xref> obtained effects of breast and leg meat on protein and fat content, with the effects of thymol (200 mg/kg), tannic, and gallic acids (5 g/kg) similar to those of LBS, PLG, and LBPL treatments. It is possible that OEO affects lipid content, deposited as fat in muscle tissue. <xref ref-type="bibr" rid="B24">Méndez-Zamora et al. (2015b</xref>) found differences in fat composition of breast meat in broilers given 0.40 and 0.80 g of OEO (60% carvacrol and 40% thymol)/kg of feed, indicating that high doses of OEO could increase fat and protein content. Similar increases in these components were obtained in the LBS+PLG treatment (0.80 g/kg total combination), which indicated that OEO combinations improve the protein and fat content of breast meat.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>The evaluation of two sources of Mexican oregano oils at 0.40 g/kg in the diet exhibit positive effects on broiler performance, blood profiles, carcass traits, and meat composition. Mexican oregano oils improve leukocyte and lymphocyte concentrations without altering hemoglobin and hematocrit. Mexican oregano essential oils may be promising alternatives to synthetic antioxidants and performance enhancers in broiler production and as enhancers of carcass meat quality.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>This research was supported by Facultad de Zootecnia y Ecologia, Universidad Autonoma de Chihuahua, which provided the installations and some ingredients of diets. Likewise, we acknowledge the Facultad de Agronomia, Universidad Autonoma de Nuevo Leon, for funding this manuscript.</p>
		</ack>
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