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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.6" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<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="epub">1806-9290</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Zootecnia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="publisher-id">S1806-92902017000800002</article-id>
			<article-id pub-id-type="doi">10.1590/S1806-92902017000800002</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Forage Crops</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>The use of crude glycerin as an alternative to reduce fermentation losses and enhance the nutritional value of Piatã grass silage</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Orrico</surname>
						<given-names>Marco Antonio Previdelli</given-names>
						<suffix>Junior</suffix>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
					<xref ref-type="corresp" rid="c1">*</xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Velazquez Duarte</surname>
						<given-names>José Augusto</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Crone</surname>
						<given-names>Carla</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Neves</surname>
						<given-names>Franciely de Oliveira</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Reis</surname>
						<given-names>Ricardo Andrade</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Orrico</surname>
						<given-names>Ana Carolina Amorim</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Schwingel</surname>
						<given-names>Alice Watte</given-names>
					</name>
					<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Vilela</surname>
						<given-names>Danielle Marques</given-names>
					</name>
					<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
				</contrib>
				<aff id="aff1">
					<label>1</label>
					<institution content-type="normalized">Universidade Federal da Grande Dourados</institution>
					<institution content-type="orgname">Universidade Federal da Grande Dourados</institution>
					<institution content-type="orgdiv1">Faculdade de Ciências Agrárias</institution>
					<addr-line>
						<named-content content-type="city">Dourados</named-content>
						<named-content content-type="state">MS</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Universidade Federal da Grande Dourados, Faculdade de Ciências Agrárias, Dourados, MS, Brazil</institution>
				</aff>
				<aff id="aff2">
					<label>2</label>
					<institution content-type="normalized">Universidad Nacional de Asunción</institution>
					<institution content-type="orgname">Universidad Nacional de Asunción</institution>
					<institution content-type="orgdiv1">Facultad de Ciencias Agrarias</institution>
					<addr-line>
						<named-content content-type="city">Pedro Juan Caballero</named-content>
					</addr-line>
					<country country="PY">Paraguay</country>
					<institution content-type="original">Universidad Nacional de Asunción, Facultad de Ciencias Agrarias, Pedro Juan Caballero, Paraguay</institution>
				</aff>
				<aff id="aff3">
					<label>3</label>
					<institution content-type="normalized">Universidade Estadual Paulista</institution>
					<institution content-type="orgname">Universidade Estadual Paulista “Júlio de Mesquita Filho&quot;</institution>
					<institution content-type="orgdiv1">Faculdade de Ciências Agrárias e Veterinárias</institution>
					<institution content-type="orgdiv2">Departamento de Zootecnia</institution>
					<addr-line>
						<named-content content-type="city">Jaboticabal</named-content>
						<named-content content-type="state">SP</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Universidade Estadual Paulista “Júlio de Mesquita Filho&quot;, Faculdade de Ciências Agrárias e Veterinárias, Departamento de Zootecnia, Jaboticabal, SP, Brazil</institution>
				</aff>
				<aff id="aff4">
					<label>4</label>
					<institution content-type="normalized">Universidade Estadual Paulista</institution>
					<institution content-type="orgname">Universidade Estadual Paulista “Júlio de Mesquita Filho”</institution>
					<institution content-type="orgdiv1">Faculdade de Ciências Agronómicas</institution>
					<addr-line>
						<named-content content-type="city">Botucatu</named-content>
						<named-content content-type="state">SP</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Universidade Estadual Paulista “Júlio de Mesquita Filho”, Faculdade de Ciências Agronómicas, Botucatu, SP, Brazil</institution>
				</aff>
				<aff id="aff5">
					<label>5</label>
					<institution content-type="normalized">Universidade Federal da Grande Dourados</institution>
					<institution content-type="orgname">Universidade Federal da Grande Dourados</institution>
					<institution content-type="orgdiv1">Faculdade de Ciências Biológicas e Ambientais</institution>
					<addr-line>
						<named-content content-type="city">Dourados</named-content>
						<named-content content-type="state">MS</named-content>
					</addr-line>
					<country country="BR">Brazil</country>
					<institution content-type="original">Universidade Federal da Grande Dourados, Faculdade de Ciências Biológicas e Ambientais, Dourados, MS, Brazil</institution>
				</aff>
			</contrib-group>
			<author-notes>
				<corresp id="c1">
					<label>*</label><bold>Corresponding author:</bold><email>marcoorrico@yahoo.com.br</email>
				</corresp>
			</author-notes>
			<pub-date pub-type="epub-ppub">
				<month>08</month>
				<year>2017</year>
			</pub-date>
			<volume>46</volume>
			<issue>8</issue>
			<fpage>638</fpage>
			<lpage>644</lpage>
			<history>
				<date date-type="received">
					<day>12</day>
					<month>02</month>
					<year>2017</year>
				</date>
				<date date-type="accepted">
					<day>07</day>
					<month>06</month>
					<year>2017</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 objective of this study was to evaluate fermentation losses and the nutritional value of silage of <italic>Brachiaria brizantha</italic> cv BRS Piatã ensiled with different levels of crude glycerin. The experiment followed a 4 × 2 completely randomized factorial design with four doses of crude glycerin (0, 100, 200, and 300 g kg<sup>–1</sup> of DM silage) and two cutting ages (45 and 60 days) with four replicates per treatment (silos). The parameters of dry matter losses, effluents losses, gas losses, pH, microbial population, and nutritional value of the silage were evaluated. There was no difference in pH among the tested doses of crude glycerin. However, reductions in dry matter and gas losses were observed as a function of crude glycerin doses. Bacterial populations of lactic acid and facultative mesophilic anaerobes also increased as a function of crude glycerin inclusion. Crude glycerin increased ether extract levels and reduced neutral detergent fiber and acid detergent fiber concentrations (dilution effect), improving chemical composition of the silage. Crude glycerin can be used in the ensiling of Piatã grass and the dose of 300 g kg<sup>–1</sup> of DM yields the best results.</p>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Key Words:</title>
				<kwd>biodiesel</kwd>
				<kwd>byproduct</kwd>
				<kwd>forage conservation</kwd>
				<kwd>glycerol</kwd>
				<kwd>ruminants</kwd>
			</kwd-group>
			<counts>
				<fig-count count="0"/>
				<table-count count="3"/>
				<equation-count count="0"/>
				<ref-count count="32"/>
				<page-count count="7"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Biodiesel production generates significant amounts of crude glycerin as byproduct. For every ton of biodiesel produced, 100 kg of crude glycerin are generated, configuring a yield of 10% (<xref ref-type="bibr" rid="B1">ANP, 2015</xref>). In Brazil, the production of crude glycerin in 2014 was approximately 460,000 tons, greater than the current demand of 40,000 tons (<xref ref-type="bibr" rid="B1">ANP, 2015</xref>). Crude glycerin surplus from biodiesel industries represents a hazard risk due to its pollutant content (considerable levels of glycerol and residual lipids). For this reason, alternative usage for this byproduct must be evaluated to reach equilibrium between demand and production ensuring sustainable usage.</p>
			<p>Crude glycerin has the potential to be used as an additive to enhance silage fermentation because it has glycerol in its composition. This is a rich source of energy for anaerobic microorganisms (<xref ref-type="bibr" rid="B28">Santos et al., 2014</xref>; <xref ref-type="bibr" rid="B6">Carvalho et al., 2017</xref>), which can favor microbial growth and improve the quality of fermentation and forage conservation.</p>
			<p>The inclusion of crude glycerin in the process of ensiling has been focused on sugar cane. This has been associated to better fermentation, lower production of ethanol, lower dry matter (DM) losses, and silage with superior nutritional value (<xref ref-type="bibr" rid="B28">Santos et al., 2014</xref>; <xref ref-type="bibr" rid="B6">Carvalho et al., 2017</xref>). The inclusion of crude glycerin has not been tested in the ensiling of grass. In this case, lower levels of soluble carbohydrates and dry matter found in grass seems to be the major limitation point. This is relevant regarding tropical grasses such as <italic>Brachiaria brizantha</italic> (<xref ref-type="bibr" rid="B22">Mendieta-Araica et al., 2010</xref>). Grass may present high buffering capacity, which inhibits fermentation. In addition, several types of yeast that support fermentation in sugarcane silages are not present in grass. These factors may restrain acidification, limit the quality of silage, and configure bottlenecks towards the use of crude glycerin as an alternative to reduce fermentation loss and improve the nutritional value of grass silage.</p>
			<p>The addition of low-cost sources of soluble carbohydrates may tackle some limitation points. The challenge would be to make ensiling of grass feasible by increasing the growth rates of lactic acid bacteria, dropping silage pH, and enhancing fermentation (<xref ref-type="bibr" rid="B17">Keady and Kiely, 1998</xref>; <xref ref-type="bibr" rid="B21">McDonald and Henderson, 1962</xref>; <xref ref-type="bibr" rid="B24">Nishino et al., 2012</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2016</xref>). If possible, this would configure alternative usage of a potentially pollutant byproduct from biofuel production.</p>
			<p>In this sense, aiming to support livestock production, this study was designed to verify if the inclusion of crude glycerin could improve fermentation and the nutritional value of silages prepared with <italic>Brachiaria brizantha</italic> cv Piatã.</p>
		</sec>
		<sec sec-type="materials|methods">
			<title>Material and Methods</title>
			<p>The research was conducted in Dourados, MS, Brazil (22°13′18″S latitude and 54°48′23″W longitude). The climate, according to the Köppen, is Cwa mesothermal humid, with average annual rainfall ranging from 1,250 to 1,500 mm and temperatures between 20 and 24 °C.</p>
			<p>The experiment followed a 4 × 2 completely randomized factorial design with four doses of crude glycerin (0, 100, 200, and 300 g kg<sup>–1</sup> of DM silage) and two cutting ages (45 and 60 days), with four replicates per treatment (silos). Experimental silos were built with PVC tubes of 50 cm in height and 15 cm in diameter. The silos were sealed at the bottom end with a cap and held approximately 5 kg of grass.</p>
			<p>The crude glycerin used in this study was sampled from a biodiesel industry and presented the following chemical composition: 960.00 g kg<sup>–1</sup> of dry matter, 64.01 g kg<sup>–1</sup> of ash, 618.70 g kg<sup>–1</sup> of glycerol, 61.00 g kg<sup>–1</sup> of methanol, and 18.03 g kg<sup>–1</sup> of ether extract.</p>
			<p>The area planted with Piatã grass was formed five years prior to the research and was fertilized with 100 kg ha<sup>–1</sup> of nitrogen (urea) 30 days before the beginning of the experiment. On May 25th, 2014 (beginning of the dry season), the grass was evenly cut at a height of 10 cm above the ground. After standardization, the area was divided into three parts and the grass from each segment was cut as grass reached the specific ages defined in the experiment. A clearing saw was used to cut the grass at a height of 15 cm above the ground and the collected material was ground to obtain a particle size of 1.5 cm.</p>
			<p>Grass samples and different doses of crude glycerin were mixed in plastic bags to establish the experimental treatments (silos). The material for ensiling was manually compacted with a wood rod and the average density was 566 kg/m<sup>3</sup> of fresh matter. After filling, the silos were sealed with plastic sheets and duct tape, weighed, and stored in the laboratory. All components of the silo, as well as the forage material, were weighed to determine the fermentation losses. After 80 days of fermentation, the silo contents were weighed again to determine the gas, effluent, and dry matter losses according to Ping et al. (2016).</p>
			<p>Samples of approximately 300 g of forage from each treatment were collected prior to and after ensiling. Subsequently, these samples were dried at 55 °C for 72 h to determine the dry matter content. After pre-drying, the samples were ground in a Willey mill with 1-mm sieve for further laboratory analysis (<xref ref-type="table" rid="t1">Table 1</xref>). The concentrations of DM, crude protein (CP), ash, and ether extract (EE) were determined according to the <xref ref-type="bibr" rid="B2">AOAC (1990)</xref>. The <italic>in vitro</italic> dry matter digestibility (IVDMD) was evaluated according to the method described by <xref ref-type="bibr" rid="B31">Tilley and Terry (1963)</xref>. Neutral detergent fiber (NDF) and acid detergent fiber (ADF) were determined according to <xref ref-type="bibr" rid="B23">Mertens (2002)</xref>.</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Chemical composition of Piatã grass with different doses of crude glycerin and two cutting ages</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="18%">
						<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">Parameter</th>
							<th align="center" rowspan="2" valign="middle">Cutting age (days)</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Dose (g kg<sup>–1</sup> of DM)</th>
						</tr>
						<tr>
							<th align="center">0</th>
							<th align="center">100</th>
							<th align="center">200</th>
							<th align="center">300</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">Buffering capacity (meq HCl.100 g<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">6.81</td>
							<td align="center">6.74</td>
							<td align="center">6.48</td>
							<td align="center">6.59</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">5.55</td>
							<td align="center">5.66</td>
							<td align="center">5.80</td>
							<td align="center">5.76</td>
						</tr>
						<tr>
							<td align="left">Dry matter (g kg<sup>–1</sup>)</td>
							<td align="center">45</td>
							<td align="center">251.20</td>
							<td align="center">267.90</td>
							<td align="center">279.70</td>
							<td align="center">291.90</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">329.50</td>
							<td align="center">338.30</td>
							<td align="center">350.40</td>
							<td align="center">370.40</td>
						</tr>
						<tr>
							<td align="left">Ash (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">82.70</td>
							<td align="center">78.20</td>
							<td align="center">74.30</td>
							<td align="center">64.30</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">86.30</td>
							<td align="center">78.90</td>
							<td align="center">76.00</td>
							<td align="center">71.60</td>
						</tr>
						<tr>
							<td align="left">Crude protein (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">128.70</td>
							<td align="center">111.40</td>
							<td align="center">101.90</td>
							<td align="center">82.10</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">80.60</td>
							<td align="center">86.50</td>
							<td align="center">73.30</td>
							<td align="center">79.90</td>
						</tr>
						<tr>
							<td align="left">Ether extract (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">46.00</td>
							<td align="center">50.60</td>
							<td align="center">60.70</td>
							<td align="center">78.90</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">34.00</td>
							<td align="center">37.40</td>
							<td align="center">44.90</td>
							<td align="center">58.30</td>
						</tr>
						<tr>
							<td align="left">Neutral detergent fiber (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">621.70</td>
							<td align="center">553.00</td>
							<td align="center">523.50</td>
							<td align="center">504.20</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">641.80</td>
							<td align="center">604.20</td>
							<td align="center">548.30</td>
							<td align="center">571.50</td>
						</tr>
						<tr>
							<td align="left">Acid detergent fiber (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">292.90</td>
							<td align="center">289.30</td>
							<td align="center">274.90</td>
							<td align="center">253.80</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">325.90</td>
							<td align="center">315.30</td>
							<td align="center">292.60</td>
							<td align="center">284.60</td>
						</tr>
						<tr>
							<td align="left">Non-fibrous carbohydrates (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">160.80</td>
							<td align="center">246.80</td>
							<td align="center">279.60</td>
							<td align="center">340.50</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">142.00</td>
							<td align="center">177.10</td>
							<td align="center">230.10</td>
							<td align="center">241.10</td>
						</tr>
						<tr>
							<td align="left"><italic>In vitro</italic> dry matter digestibility (g kg<sup>–1</sup> of DM)</td>
							<td align="center">45</td>
							<td align="center">797.20</td>
							<td align="center">854.30</td>
							<td align="center">862.10</td>
							<td align="center">893.40</td>
						</tr>
						<tr>
							<td align="left"/>
							<td align="center">60</td>
							<td align="center">762.10</td>
							<td align="center">832.30</td>
							<td align="center">826.60</td>
							<td align="center">844.30</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN1">
						<p>DM - dry matter.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Non-fibrous carbohydrates (NFC) were calculated by the following equation: NFC = 100 – (NDF + CP + EE + Ash) proposed by <xref ref-type="bibr" rid="B29">Sniffen et al. (1992)</xref>. The total digestible nutrient (TDN) values were estimated according to <xref ref-type="bibr" rid="B5">Cappelle et al. (2001)</xref>. Measurements of aqueous extract and pH of the material prior to and after ensiling were carried out as proposed by <xref ref-type="bibr" rid="B18">Kung Junior et al. (1984)</xref>. The buffering capacity was determined in forage samples according to the protocol described by <xref ref-type="bibr" rid="B27">Playne and McDonald (1966)</xref>.</p>
			<p>For microbiological analysis, samples of 25 g were collected from each silo and placed in flasks with 225 mL of sterile 1% peptone water and stirred for 10 min. From the extract obtained, decimal dilutions of 10:1 to 10:7 were prepared to assess the microorganism populations. The number of facultative anaerobic mesophilic bacteria was determined on plates with nutrient agar and incubated at 35 °C. The lactic acid bacteria were numbered on plates with MRS culture medium (Difco) added with 0.4% nystatin (to prevent fungi growth) and incubated in anaerobic jars (AnaeroGen, Oxoid Ltd.) at 35 °C. Dichloran Glycerol (DG18) agar was used for mold count and the YEPD medium was used for yeast count. The plates were incubated at 28 °C for five to seven days for fungi count and 48 h for yeast count (<xref ref-type="bibr" rid="B3">Bravo-Martins et al., 2006</xref>).</p>
			<p>The results were subjected to analysis of variance, considering the ages of the plants and crude glycerin doses as sources of variation. Orthogonal contrasts were used to assess the linear and quadratic effects of the levels of crude glycerin. Values observed between different plant ages were compared by the F test. All data analyses were performed using the software R (2014).</p>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<p>Dry matter loss was significantly reduced with the inclusion of crude glycerin, 231.03 g kg<sup>–1</sup> of ensiled DM in the treatment with 0 g kg<sup>–1</sup> of DM and 72.64 g kg<sup>–1</sup> of ensiled DM in the treatment with 300 g kg<sup>–1</sup> of DM (<xref ref-type="table" rid="t2">Table 2</xref>).</p>
			<table-wrap id="t2">
				<label>Table 2</label>
				<caption>
					<title>Fermentative loss and microorganism populations in Piatã grass ensiled with 0, 100, 200, or 300 g kg<sup>–1</sup> of DM glycerin and cut at 45 or 60 days</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="7%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<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">Parameter</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Crude glycerin (g kg<sup>–1</sup> of DM)</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Age</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="3" style="border-bottom: thin solid; border-color: #000000">P-value</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value for contrasts<xref ref-type="table-fn" rid="TFN3">1</xref>
							</th>
						</tr>
						<tr>
							<th align="center">0</th>
							<th align="center">100</th>
							<th align="center">200</th>
							<th align="center">300</th>
							<th align="center">45</th>
							<th align="center">60</th>
							<th align="center">Glycerin (G)</th>
							<th align="center">Age (A)</th>
							<th align="center">G × A</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">pH</td>
							<td align="center">3.95</td>
							<td align="center">3.94</td>
							<td align="center">4.10</td>
							<td align="center">3.90</td>
							<td align="center">0.21</td>
							<td align="center">3.94</td>
							<td align="center">4.00</td>
							<td align="center">0.14</td>
							<td align="center">0.12</td>
							<td align="center">0.32</td>
							<td align="center">0.31</td>
							<td align="center">0.20</td>
							<td align="center">0.12</td>
						</tr>
						<tr>
							<td align="left">DM loss (g kg<sup>–1</sup> of ensiled DM)</td>
							<td align="center">231.03</td>
							<td align="center">144.34</td>
							<td align="center">91.41</td>
							<td align="center">72.64</td>
							<td align="center">58.10</td>
							<td align="center">122.49</td>
							<td align="center">147.23</td>
							<td align="center">41.00</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.09</td>
							<td align="center">0.09</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.02</td>
						</tr>
						<tr>
							<td align="left">Effluent loss (g kg<sup>-1</sup> of ensiled DM)</td>
							<td align="center">34.63</td>
							<td align="center">35.00</td>
							<td align="center">16.73</td>
							<td align="center">10.36</td>
							<td align="center">5.34</td>
							<td align="center">48.36</td>
							<td align="center">0.00</td>
							<td align="center">17.32</td>
							<td align="center">&lt;0.01</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.08</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.03</td>
						</tr>
						<tr>
							<td align="left">Gas loss (g kg<sup>–1</sup> of ensiled DM)</td>
							<td align="center">90.62</td>
							<td align="center">37.55</td>
							<td align="center">27.58</td>
							<td align="center">19.93</td>
							<td align="center">5.54</td>
							<td align="center">58.03</td>
							<td align="center">29.81</td>
							<td align="center">16.00</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.03</td>
							<td align="center">0.06</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.04</td>
						</tr>
						<tr>
							<td align="left">LAB (log cfu.g<sup>–1</sup> silage)</td>
							<td align="center">6.87</td>
							<td align="center">7.30</td>
							<td align="center">7.49</td>
							<td align="center">7.26</td>
							<td align="center">0.38</td>
							<td align="center">7.23</td>
							<td align="center">7.23</td>
							<td align="center">0.22</td>
							<td align="center">0.02</td>
							<td align="center">0.87</td>
							<td align="center">0.34</td>
							<td align="center">0.03</td>
							<td align="center">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">FAMB (log cfu.g<sup>–1</sup> silage)</td>
							<td align="center">6.60</td>
							<td align="center">7.09</td>
							<td align="center">6.67</td>
							<td align="center">7.38</td>
							<td align="center">0.32</td>
							<td align="center">6.71</td>
							<td align="center">7.16</td>
							<td align="center">0.21</td>
							<td align="center">0.04</td>
							<td align="center">0.12</td>
							<td align="center">0.54</td>
							<td align="center">0.04</td>
							<td align="center">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">Molds (log cfu.g<sup>–1</sup> silage)</td>
							<td align="center">2.10</td>
							<td align="center">2.16</td>
							<td align="center">2.34</td>
							<td align="center">2.32</td>
							<td align="center">0.11</td>
							<td align="center">2.23</td>
							<td align="center">2.23</td>
							<td align="center">0.08</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.69</td>
							<td align="center">0.23</td>
							<td align="center">0.02</td>
							<td align="center">&lt;0.01</td>
						</tr>
						<tr>
							<td align="left">Yeast (log cfu.g<sup>–1</sup> silage)</td>
							<td align="center">1.79</td>
							<td align="center">1.38</td>
							<td align="center">1.46</td>
							<td align="center">2.83</td>
							<td align="center">0.73</td>
							<td align="center">1.85</td>
							<td align="center">1.88</td>
							<td align="center">0.55</td>
							<td align="center">0.01</td>
							<td align="center">0.65</td>
							<td align="center">0.43</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.02</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN2">
						<p>DM - dry matter; LAB - lactic acid bacteria; FAMB - facultative anaerobic mesophilic bacteria; cfu - colony-forming units; SEM - standard error of the mean.</p>
					</fn>
					<fn id="TFN3">
						<label>1</label>
						<p>L and Q - linear and quadratic effects, concerning the inclusion of crude glycerin.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Effluent losses of 34.63 g kg<sup>–1</sup> of ensiled DM were observed in the treatment with no glycerin inclusion against 10.36 g kg<sup>–1</sup> of ensiled DM for the treatment with the highest inclusion level (<xref ref-type="table" rid="t2">Table 2</xref>). No effluent production was observed in the silage prepared with the 60-day-old grass. With the exception of DM loss (P&gt;0.05), the age of the grass significantly influenced fermentation (P&lt;0.05). Significant increase of the population of lactic acid and facultative anaerobic mesophilic bacteria was observed with the addition of glycerin to the ensiling of Piatã grass (<xref ref-type="table" rid="t2">Table 2</xref>). Bacterial populations of lactic acid and facultative mesophilic anaerobes were counted at 6.87 and 6.60 log cfu/g with no glycerin addition and 7.26 and 7.38 log cfu/g with inclusion of 300 g kg<sup>–1</sup> DM of crude glycerin, respectively.</p>
			<p>Populations of molds (P&lt;0.01) and yeasts (P&lt;0.05) also showed significant differences as a function of the levels of crude glycerin, especially in the two highest inclusion levels (<xref ref-type="table" rid="t2">Table 2</xref>). The average population of molds and yeast was 2.32 and 2.83 log cfu.g<sup>–1</sup> for the silage added with 300 g kg<sup>–1</sup> of DM of crude glycerin, respectively.</p>
			<p>In terms of the nutritional value of silage, reductions were observed in the concentrations of NDF and ADF (P&lt;0.01) with increasing levels of crude glycerin (<xref ref-type="table" rid="t3">Table 3</xref>). Moreover, the inclusion of higher levels of crude glycerin was related to higher concentration of IVDMD [769.68 (0 g kg<sup>–1</sup> of DM of crude glycerin); 841.55 (300 g kg<sup>–1</sup> of DM of crude glycerin)] and TDN [777.46 (0 g kg<sup>–1</sup> of DM of crude glycerin); 853.64 (300 g kg<sup>–1</sup> of DM of crude glycerin)] (P&lt;0.01).</p>
			<table-wrap id="t3">
				<label>Table 3</label>
				<caption>
					<title>Chemical composition of Piatã grass silages added with different doses of crude glycerin (0, 100, 200, and 300 g kg<sup>–1</sup> of DM) and cut at two ages (45 and 60 days)</title>
				</caption>
				<table frame="hsides" rules="groups">
					<colgroup width="7%">
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<col/>
						<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">Parameter</th>
							<th align="center" colspan="4" style="border-bottom: thin solid; border-color: #000000">Crude glycerin (g kg<sup>–1</sup> of DM)</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">Age</th>
							<th align="center" rowspan="2" valign="middle">SEM</th>
							<th align="center" colspan="3" style="border-bottom: thin solid; border-color: #000000">P-value</th>
							<th align="center" colspan="2" style="border-bottom: thin solid; border-color: #000000">P-value for contrasts<xref ref-type="table-fn" rid="TFN5">1</xref>
							</th>
						</tr>
						<tr>
							<th align="center">0</th>
							<th align="center">100</th>
							<th align="center">200</th>
							<th align="center">300</th>
							<th align="center">45</th>
							<th align="center">60</th>
							<th align="center">Glycerin (G)</th>
							<th align="center">Age (A)</th>
							<th align="center">G × A</th>
							<th align="center">L</th>
							<th align="center">Q</th>
						</tr>
					</thead>
					<tbody style="border-bottom: thin solid; border-color: #000000">
						<tr>
							<td align="left">DM (g kg<sup>–1</sup>)</td>
							<td align="center">277.81</td>
							<td align="center">292.21</td>
							<td align="center">317.87</td>
							<td align="center">320.11</td>
							<td align="center">10.70</td>
							<td align="center">294.41</td>
							<td align="center">339.98</td>
							<td align="center">9.08</td>
							<td align="center">0.03</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.45</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.03</td>
						</tr>
						<tr>
							<td align="left">Ash (g kg<sup>–1</sup>)</td>
							<td align="center">86.21</td>
							<td align="center">86.30</td>
							<td align="center">82.57</td>
							<td align="center">78.91</td>
							<td align="center">4.65</td>
							<td align="center">83.33</td>
							<td align="center">83.66</td>
							<td align="center">3.10</td>
							<td align="center">0.05</td>
							<td align="center">0.39</td>
							<td align="center">0.07</td>
							<td align="center">0.08</td>
							<td align="center">0.19</td>
						</tr>
						<tr>
							<td align="left">CP (g kg<sup>–1</sup> of DM)</td>
							<td align="center">123.44</td>
							<td align="center">112.39</td>
							<td align="center">104.20</td>
							<td align="center">89.10</td>
							<td align="center">12.25</td>
							<td align="center">114.01</td>
							<td align="center">100.55</td>
							<td align="center">8.70</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.02</td>
							<td align="center">0.43</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.05</td>
						</tr>
						<tr>
							<td align="left">EE (g kg<sup>–1</sup> of DM)</td>
							<td align="center">40.00</td>
							<td align="center">44.00</td>
							<td align="center">52.80</td>
							<td align="center">68.64</td>
							<td align="center">11.28</td>
							<td align="center">59.06</td>
							<td align="center">43.66</td>
							<td align="center">6.90</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.02</td>
							<td align="center">0.21</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.06</td>
						</tr>
						<tr>
							<td align="left">NDF (g kg<sup>–1</sup> of DM)</td>
							<td align="center">544.37</td>
							<td align="center">500.56</td>
							<td align="center">469.49</td>
							<td align="center">429.78</td>
							<td align="center">40.94</td>
							<td align="center">462.00</td>
							<td align="center">510.10</td>
							<td align="center">28.66</td>
							<td align="center">&lt;0.01</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.22</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.04</td>
						</tr>
						<tr>
							<td align="left">ADF (g kg<sup>–1</sup> of DM)</td>
							<td align="center">304.33</td>
							<td align="center">271.49</td>
							<td align="center">248.79</td>
							<td align="center">231.59</td>
							<td align="center">27.12</td>
							<td align="center">250.23</td>
							<td align="center">277.87</td>
							<td align="center">19.20</td>
							<td align="center">&lt;0.01</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.32</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.02</td>
						</tr>
						<tr>
							<td align="left">NFC (g kg<sup>–1</sup> of DM)</td>
							<td align="center">163.59</td>
							<td align="center">226.10</td>
							<td align="center">248.47</td>
							<td align="center">330.57</td>
							<td align="center">53.88</td>
							<td align="center">248.04</td>
							<td align="center">296.33</td>
							<td align="center">36.50</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.04</td>
							<td align="center">0.32</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.07</td>
						</tr>
						<tr>
							<td align="left">IVDMD (g kg<sup>–1</sup> of DM)</td>
							<td align="center">769.68</td>
							<td align="center">810.08</td>
							<td align="center">819.91</td>
							<td align="center">841.55</td>
							<td align="center">30.36</td>
							<td align="center">830.11</td>
							<td align="center">790.50</td>
							<td align="center">21.00</td>
							<td align="center">&lt;0.01</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.34</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.07</td>
						</tr>
						<tr>
							<td align="left">TDN (g kg<sup>–1</sup> of DM)</td>
							<td align="center">777.46</td>
							<td align="center">820.28</td>
							<td align="center">830.70</td>
							<td align="center">853.64</td>
							<td align="center">32.18</td>
							<td align="center">841.52</td>
							<td align="center">799.53</td>
							<td align="center">20.50</td>
							<td align="center">&lt;0.01</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.51</td>
							<td align="center">&lt;0.01</td>
							<td align="center">0.03</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<fn id="TFN4">
						<p>DM - dry matter; CP - crude protein; EE - ether extract; NDF - neutral detergent fiber; ADF - acid detergent fiber; NFC - non-fibrous carbohydrates; IVDMD: <italic>in vitro</italic> dry matter digestibility; TDN - total digestible nutrients; SEM - standard error of the means.</p>
					</fn>
					<fn id="TFN5">
						<label>1</label>
						<p>L and Q - linear and quadratic effects, concerning the inclusion of crude glycerin.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>The age of the grass used for ensiling was associated to different amounts of gas loss, lower with silos prepared with mature grass (<xref ref-type="table" rid="t2">Table 2</xref>). Likewise, this was reported by <xref ref-type="bibr" rid="B11">Dias et al. (2014)</xref>, assigning lower gas losses to greater amounts of dry matter present in the silage of mature sugarcane. Younger grass may present excessive moisture, which inhibits effective fermentation (<xref ref-type="bibr" rid="B10">Collins and Owens, 2003</xref>). In silages, poor fermentation becomes problematic when moisture levels exceed 70% and soluble carbohydrates are scarce (less than 50g kg<sup>–1</sup> DM) (<xref ref-type="bibr" rid="B10">Collins and Owens, 2003</xref>).</p>
			<p>In this study, all levels of crude glycerin inclusion were associated to notable reduction of DM losses, from 231.03 to 72.64 g kg<sup>–1</sup> of ensiled DM (<xref ref-type="table" rid="t2">Table 2</xref>). This is probably related to more efficient fermentation during ensiling. Most likely, the inclusion of crude glycerin itself would not explain such a distinguished decrease (68.86% of DM), considering that the maximum level added to the silos was 300 g kg<sup>–1</sup> of DM (30%). Using 100 g of glycerin kg<sup>–1</sup> of DM, the level of DM losses was 22.39% (from 231.03 to 144.34 g kg<sup>–1</sup> DM). These values are consistent with the results reported by <xref ref-type="bibr" rid="B6">Carvalho et al. (2017)</xref>, comparing different levels of inclusion in sugarcane silage. These authors reported reductions of 20.28% of DM losses by adding <italic>Lactobacillus hilgardii</italic> and 80 g kg<sup>–1</sup> DM of glycerin.</p>
			<p>The decrease of gas losses was also observed with increasing levels of crude glycerin inclusion. Gas losses decreased on average by 78% when comparing the lowest with the highest level of crude glycerin inclusion. Gas losses are related to the type of fermentation during ensiling, which tends to decrease when homofermentative bacteria predominate. In this case, the bacterial metabolism of soluble carbohydrates leads to the production of lactic acid, important to drop silage pH. In contrast, heterofermentative inoculants are related to the production of alcohol, and acetic and butyric acids, associated to greater gas losses during ensiling (<xref ref-type="bibr" rid="B32">Viana et al., 2013</xref>).</p>
			<p>The supposition of more efficient fermentation associated to increasing levels of crude glycerin inclusion may be addressed to the fact that <italic>Lactobacillus</italic> strains break down glycerol as a source of energy (<xref ref-type="bibr" rid="B13">Garai-Ibabe et al., 2008</xref>; <xref ref-type="bibr" rid="B25">Pasteris and Strasser de Saad, 2009</xref>). In the present study, the most expressive number of microorganisms was addressed to lactic acid bacteria. This type of bacteria is usually related to the decrease of DM losses due to greater acidification during ensiling (<xref ref-type="bibr" rid="B14">Goeser et al., 2015</xref>).</p>
			<p>The increase in the growth rates of lactic acid bacteria were not associated to the final pH in any silage (P&gt;0.05). The final pH of the silage is usually related to the quality of fermentation, but does not necessarily explain the speed in which pH drops, neither the type of fermentation (microorganism populations), nor the nutritional value of the silage. Still, the dry matter and gas losses observed in the present study are suggestive of rapid decline of pH during fermentation as a result of the inclusion of crude glycerin. This was also discussed by <xref ref-type="bibr" rid="B14">Goeser et al. (2015)</xref> and reported by <xref ref-type="bibr" rid="B28">Santos et al. (2014)</xref>, testing the effect of the inclusion of crude glycerin and microbial additives to sugarcane silage. In addition, these authors observed an increment in the energy density of sugarcane silage.</p>
			<p>Microorganisms such as yeast and molds use glycerol as a source of energy (<xref ref-type="bibr" rid="B30">Taccari et al., 2012</xref>). Thus, the inclusion of crude glycerin was expected to increase the population of these types of microorganisms in the silage. These are undesired microorganisms, related to hygienic and nutritional aspects of the silage (<xref ref-type="bibr" rid="B3">Bravo-Martins et al., 2006</xref>). However, the population of yeast and molds increased in a level (<xref ref-type="table" rid="t2">Table 2</xref>) considered irrelevant to configure any depreciation in the quality of the silages (<xref ref-type="bibr" rid="B9">Cogan et al., 2016</xref>). All silages were considered to show good quality in terms of microbiology.</p>
			<p>The nutritional value of the silages was in accordance with the expectations. Greater amounts of NDF (510.10 g kg<sup>–1</sup> of DM) (P&lt;0.01) were related to more mature grass (60 days at cutting), probably due to greater proportions of cell wall. The composition of crude glycerin, i.e., mainly non-fibrous carbohydrates, reduced the proportions of NDF and ADF with increasing levels of crude glycerin, which is related to the dilution effect (<xref ref-type="table" rid="t3">Table 3</xref>). <xref ref-type="bibr" rid="B20">Martins et al. (2014)</xref> observed reductions by 25.3 and 24.7% of NDF when 450 g kg<sup>–1</sup> of DM of glycerin was added to silage produced with corn and sunflower, respectively.</p>
			<p>Likewise, the linear reduction (P&lt;0.01) in CP concentration, related to glycerin inclusion, may be also related to a dilution effect (<xref ref-type="table" rid="t3">Table 3</xref>). Similar results were reported by <xref ref-type="bibr" rid="B15">Gomes et al. (2015)</xref>, who observed a reduction by 37.56% in the CP concentration of sugarcane silages added with 150 g kg<sup>–1</sup> of fresh matter glycerin compared with control silages. This is often reported because additives used to promote fermentation are rich in energy and present low protein content.</p>
			<p>The association of crude glycerin inclusion and superior amounts of EE, IVDMD, and TDN (<xref ref-type="table" rid="t3">Table 3</xref>) is probably due to the composition of the additive used for ensiling. The byproduct sampled from biodiesel production consisted of low-purity glycerin (high levels of residual lipids originated from vegetable oils). This is relevant to livestock production because high amounts of EE in the diet, usually above 70 g kg<sup>–1</sup> of DM, may reduce intake as a consequence of poor microbiological degradation of fiber in the rumen (<xref ref-type="bibr" rid="B12">Doreau and Ferlay, 1995</xref>; <xref ref-type="bibr" rid="B16">Gudla et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Buccioni et al., 2012</xref>; <xref ref-type="bibr" rid="B19">Manso et al., 2016</xref>). However, the EE concentration observed in the silages was considered as within suitable intervals for intake (<xref ref-type="table" rid="t3">Table 3</xref>).</p>
			<p>A disadvantage of using silages prepared with tropical grasses is associated to low energy concentration (TDN) for animal feed. Dietary energy in grass silage may be considerably low compared with corn or sorghum silages (<xref ref-type="bibr" rid="B7">Carvalho et al., 2016</xref>), which may be compensated by offering greater proportions of concentrate to ensure weight gain in animal production systems. However, this may configure considerable increases in the production costs.</p>
			<p>An average increase by 2.5 g TDN kg<sup>–1</sup> of DM was observed for each inclusion of 10 g kg<sup>–1</sup> of DM crude glycerin in the silage, reaching a maximum of 853.64 g of TDN kg<sup>–1</sup> of DM. The increased nutritional value of the silage was probably related to the energetic value of the crude glycerin, which enabled lactic acid bacteria to grow and optimize fermentation. It is noteworthy that energetic additives, such as molasses and pure glycerol, would probably enable superior results. However, low-cost additives seem to be the key to make the inclusion of additives and the ensiling of grass feasible. In contrast, low-price additives may present little amount of glycerol, which could result in poor fermentation.</p>
			<p>Currently, there is little information regarding intake (acceptability) of silages containing crude glycerin. Therefore, consistent contribution towards livestock performance is incipient. However, the results reported in this study are convincing that the inclusion of crude glycerin may alleviate fermentative losses and generate grass silage with superior nutritional value. Overall, the results are potential contributions to support sustainable livestock production within tropical regions and scenarios of biodiesel production.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusions</title>
			<p>The use of crude glycerin in the ensiling of Piatã grass is recommended to increase the population of lactic acid bacteria, reduce fermentation losses, and improve the nutritional value of silage. Overall, the dose of 300 g kg<sup>–1</sup> of dry matter crude glycerin (in relation to the ensiled dry matter) yields the best results.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>Acknowledgments</title>
			<p>This study was carried out with the financial support of the Universidade Federal da Grande Dourados (UFGD) and the Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul (FUNDECT). In addition, the authors would like to thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for granting the Master degree scholarship.</p>
		</ack>
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