<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0120-2812</journal-id>
<journal-title><![CDATA[Acta Agronómica]]></journal-title>
<abbrev-journal-title><![CDATA[Acta Agron.]]></abbrev-journal-title>
<issn>0120-2812</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional de Colombia]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0120-28122017000300422</article-id>
<article-id pub-id-type="doi">10.15446/acag.v66n3.58266</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Dynamic estimation of greenhouse gas emissions from bovine livestock of Valle del Cauca, Colombia]]></article-title>
<article-title xml:lang="es"><![CDATA[Estimación dinámica de Gases de Efecto Invernadero para la Ganadería Bovina del Valle del Cauca, Colombia]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Molina Benavides]]></surname>
<given-names><![CDATA[Raúl Andrés]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Guerrero]]></surname>
<given-names><![CDATA[Hugo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Campos Gaona]]></surname>
<given-names><![CDATA[Rómulo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Atzori]]></surname>
<given-names><![CDATA[Alberto Stanislao]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales]]></surname>
<given-names><![CDATA[Juan David]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Colombia Facultad de Ciencias Agrarias Grupo Hartón del Valle]]></institution>
<addr-line><![CDATA[Palmira ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universitá di Sassari Dipartimento di Agraria-Sezione di Scienze Zootecniche ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Italia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2017</year>
</pub-date>
<volume>66</volume>
<numero>3</numero>
<fpage>422</fpage>
<lpage>429</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0120-28122017000300422&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0120-28122017000300422&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0120-28122017000300422&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The contribution of Colombia to global emissions of greenhouse gases (GHGs) is low (0.37%); from this percentage, 38% is attributed to agriculture. There are few studies on GHGs emissions at the regional level for agriculture. Therefore, the aim of this research is to estimate dynamically GHG and carbon footprint produced by cattle in the department of Valle del Cauca, Colombia. GHG estimates were established as follows: Tier II of IPCC methodology (2006), and population trends, which were simulated using dynamic system. According to the departmental livestock inventory in recent years (2009-2015), average emissions were 673 million of CO2eq. year-1, with emissions intensity (EI) of 5.58 kgCO2eq.kg.milk-1 and 3.54 kgCO2eq.kgmeat-1. Simulating the behavior of the bovine population (2016-2035), based on historical trends, the number of animals and emissions tended to reduce. The simulated EI was in 4.1 - 4.2 kgCO2eq.kg.milk-1 and 3.7 - 3.9 kgCO2eq.kg.meat-1. Increasing birth rates (83 to 90%), lower age at first birth (34 to 30 months), increased milk production per cow per day (5.33 to 10 kg), increased production of milk and meat in 100 and 4 million kg per year, respectively; with decrease in EI of 1.4 for milk and 2 units for meat. This study showed selecting efficient animals (productively and reproductively), can produce more animal protein with less carbon footprint.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La participación global de Colombia en emisiones de gases de efecto invernadero (GEI) es baja (0.37%); pero de este porcentaje, el 38% es atribuido a la agricultura y ganadería. Son pocos los trabajos sobre emisiones de gases a nivel regional para actividades agrícolas, por lo cual, el objetivo de este documento es estimar dinámicamente los GEI y huella de carbono producto de la ganadería bovina en el departamento del Valle del Cauca. Las estimaciones de GEI se realizaron siguiendo el nivel II de la metodología del IPCC (2006) y el comportamiento poblacional se simuló mediante dinámica de sistemas. Según el inventario ganadero del departamento en los últimos años (2010-2015), las emisiones promedio fueron de 673 millones de kg CO2eq.año-1, con una intensidad de emisión (IE) de 5.58 kgCO2eq.kg leche y 3.54 kgCO2eq.kgcarne-1. Simulando el comportamiento de la población bovina (2016-2035), según tendencias históricas, el número de animales y sus emisiones propendían a la baja. La IE simulada estuvo entre 4.1 y 4.3 kgCO2eq.kgleche-1 y entre 3.7 y 3.9 kgCO2eq.kg.carne-1. Al aumentar la natalidad (83 a 90%), disminuir la edad al primer parto (34 a 30 meses) y mejorar la producción de leche vaca.día-1 (5.33 a 10 kg), aumentó la producción de leche y carne en 100 y 4 millones de kg anuales, respectivamente. Con disminución en IE de 1.4 unidades para leche y 2 para carne. Esta investigación demostró que seleccionando animales eficientes (productiva y reproductivamente), se puede producir más proteína de origen animal con menor huella de carbono.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Allocation factor]]></kwd>
<kwd lng="en"><![CDATA[emission factor]]></kwd>
<kwd lng="en"><![CDATA[emission intensity]]></kwd>
<kwd lng="en"><![CDATA[livestock]]></kwd>
<kwd lng="en"><![CDATA[system dynamic]]></kwd>
<kwd lng="es"><![CDATA[Dinámica de sistemas]]></kwd>
<kwd lng="es"><![CDATA[factor de alocación]]></kwd>
<kwd lng="es"><![CDATA[factor de emisión]]></kwd>
<kwd lng="es"><![CDATA[ganadería]]></kwd>
<kwd lng="es"><![CDATA[intensidad de emisión]]></kwd>
</kwd-group>
</article-meta>
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