<?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>0798-7269</journal-id>
<journal-title><![CDATA[Zootecnia Tropical]]></journal-title>
<abbrev-journal-title><![CDATA[Zootecnia Trop.]]></abbrev-journal-title>
<issn>0798-7269</issn>
<publisher>
<publisher-name><![CDATA[Instituto Nacional de Investigaciones Agricolas INIA, Maracay, Venezuela. ]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0798-72692011000200010</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Proximate composition and economic values of four common sources of animal protein in South-western Nigeria]]></article-title>
<article-title xml:lang="es"><![CDATA[Análisis proximal y valor comercial de cuatro fuentes comunes de proteína animal en el suroeste de Nigeria]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Adeniyi]]></surname>
<given-names><![CDATA[O. R]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ademosun]]></surname>
<given-names><![CDATA[A. A]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alabi]]></surname>
<given-names><![CDATA[O. M]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Bowen University Department of Agricultural Economics and Extension ]]></institution>
<addr-line><![CDATA[ Iwo]]></addr-line>
<country>Nigeria</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Obafemi Awolowo University Department of Animal Science ]]></institution>
<addr-line><![CDATA[ Ile-Ife]]></addr-line>
<country>Nigeria</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Bowen University Department of Animal Science and Fisheries Management ]]></institution>
<addr-line><![CDATA[ Iwo]]></addr-line>
<country>Nigeria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2011</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<fpage>231</fpage>
<lpage>234</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S0798-72692011000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S0798-72692011000200010&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S0798-72692011000200010&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[The proximate composition,market prices and production cost per unit kilogram of four common meat types were investigated in the south-western area of Nigeria. The meat types were beef,broiler, African catfish and Tilapia and the parameters were crude protein (%),ether extract(%),ash(%),crude fibre(%) and nitrogen-free extract(%) and average market prices of the meat types. One hundred grammes of each of the meat sample were obtained from freshly slaughtered cow, broiler chicken and fishes. Each sample was subdivided into four replicates which were later subjected to proximate analyses in a completely randomized design (CRD) while current market prices of each of the meat samples were investigated. Beef had the highest crude protein and fat content, while broiler meat and African catfish had higher mineral content than others. However, none of the samples had crude fibre. Meanwhile, Tilapia (N42.00{US$ 0.28} per 100g fresh weight) was the cheapest while broiler meat was the most expensive(N57.00 {US$ 0.38} per 100g fresh weight). Beef had the highest level of crude protein than other meat types while Tilapia was the cheapest meat type in south-western Nigeria as at 2009 when this study was carried out]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[La composición proximal, precios de mercado y costo de producción por kilogramo de unidad de cuatro tipos de carne común se investigaron en la zona sur-occidental de Nigeria. Los tipos de carne fueron carne de res, pollo, pez gato africano y la Tilapia; los parámetros estudiados fueron: proteína cruda (%), extracto etéreo (%), cenizas (%), fibra cruda (%) y extracto libre de nitrógeno (%), y los precios medios de mercado de los tipos de carne. Para ello fueron seleccionados 100 g de cada una de las muestras de carne de res, pollo y peces recién sacrificados. La muestra se dividió en cuatro réplicas que fueron sometidas posteriormente a análisis proximales en un diseño completamente al azar (DCA), mientras que los precios actuales de mercado de las carnes fueron investigados. La carne de res tuvo el mayor contenido de proteína cruda y grasa, mientras que la carne de pollo y pez gato africano tuvo un mayor contenido de minerales. Sin embargo, ninguna de las muestras mostraron fibra cruda. Mientras tanto, la Tilapia fue la más económica (N42.00 o USA$ 0,28 por cada 100g de peso fresco) y la carne de pollo fue la más costosa (N57.00 USA$ 0,38 por cada 100g de peso fresco). La carne de res tuvo el más alto nivel de proteína cruda en comparación a otros tipos de carne, mientras que la Tilapia resulto ser el tipo de carne más barata en el suroeste de Nigeria, al momento de realización de este estudio]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[market prices]]></kwd>
<kwd lng="en"><![CDATA[meat types]]></kwd>
<kwd lng="en"><![CDATA[proximate composition]]></kwd>
<kwd lng="es"><![CDATA[precios de mercado]]></kwd>
<kwd lng="es"><![CDATA[tipos de carne]]></kwd>
<kwd lng="es"><![CDATA[análisis proximal]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p align="center"><b><font face="Verdana">Proximate composition and economic  values of four common sources of animal protein in South-western Nigeria</font></b></p>     <p align="center"><b><font face="Verdana" size="2">O. R. Adeniyi <sup>1*</sup>,  A. A. Ademosun <sup>2</sup> and O. M. Alabi <sup>3</sup></font></b></p>     <p align="justify"><font face="Verdana" size="2">1 Department of Agricultural  Economics and Extension, Bowen University, Iwo, Nigeria. *Corresponding author: <a href="mailto:adeniyiwamiwa2008@yahoo.com">adeniyiwamiwa2008@yahoo.com</a>.</font></p>     <p align="justify"><font face="Verdana" size="2">2 Department of Animal Science,  Obafemi Awolowo University, Ile-Ife, Nigeria.</font></p>     <p align="justify"><font face="Verdana" size="2">3 Department of Animal Science  and Fisheries Management, Bowen University, Iwo, Nigeria.</font></p>     <p align="justify"><b><font face="Verdana" size="2">ABSTRACT</font></b></p>     <p align="justify"><font face="Verdana" size="2">The proximate  composition,market prices and production cost per unit kilogram of four common  meat types were investigated in the south-western area of Nigeria. The meat  types were beef,broiler, African catfish and Tilapia and the parameters were  crude protein (%),ether extract(%),ash(%),crude fibre(%) and nitrogen-free  extract(%) and average market prices of the meat types. One hundred grammes of  each of the meat sample were obtained from freshly slaughtered cow, broiler  chicken and fishes. Each sample was subdivided into four replicates which were  later subjected to proximate analyses in a completely randomized design (CRD)  while current market prices of each of the meat samples were investigated. Beef  had the highest crude protein and fat content, while broiler meat and African  catfish had higher mineral content than others. However, none of the samples had  crude fibre. Meanwhile, Tilapia (N42.00{US$ 0.28} per 100g fresh weight) was the  cheapest while broiler meat was the most expensive(N57.00 {US$ 0.38} per 100g  fresh weight). Beef had the highest level of crude protein than other meat types  while Tilapia was the cheapest meat type in south-western Nigeria as at 2009  when this study was carried out.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Keywords: </b>market prices,  meat types, proximate composition.</font></p>     <p align="center"><b><font face="Verdana" size="2">Análisis proximal y valor  comercial de cuatro fuentes comunes de proteína animal en el suroeste de Nigeria</font></b></p>     <p align="justify"><b><font face="Verdana" size="2">RESUMEN</font></b></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">La composición proximal,  precios de mercado y costo de producción por kilogramo de unidad de cuatro tipos  de carne común se investigaron en la zona sur-occidental de Nigeria. Los tipos  de carne fueron carne de res, pollo, pez gato africano y la Tilapia; los  parámetros estudiados fueron: proteína cruda (%), extracto etéreo (%), cenizas  (%), fibra cruda (%) y extracto libre de nitrógeno (%), y los precios medios de  mercado de los tipos de carne. Para ello fueron seleccionados 100 g de cada una  de las muestras de carne de res, pollo y peces recién sacrificados. La muestra  se dividió en cuatro réplicas que fueron sometidas posteriormente a análisis  proximales en un diseño completamente al azar (DCA), mientras que los precios  actuales de mercado de las carnes fueron investigados. La carne de res tuvo el  mayor contenido de proteína cruda y grasa, mientras que la carne de pollo y pez  gato africano tuvo un mayor contenido de minerales. Sin embargo, ninguna de las  muestras mostraron fibra cruda. Mientras tanto, la Tilapia fue la más económica  (N42.00 o USA$ 0,28 por cada 100g de peso fresco) y la carne de pollo fue la más  costosa (N57.00 USA$ 0,38 por cada 100g de peso fresco). La carne de res tuvo el  más alto nivel de proteína cruda en comparación a otros tipos de carne, mientras  que la Tilapia resulto ser el tipo de carne más barata en el suroeste de  Nigeria, al momento de realización de este estudio.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Palabras claves:</b> precios  de mercado, tipos de carne, análisis proximal.</font></p>     <p align="justify"><font face="Verdana" size="2"><b>Recibido: </b>14/05/10 <b> Aceptado: </b>28/04/11</font></p>     <p align="justify"><b><font face="Verdana" size="2">INTRODUCTION</font></b></p>     <p align="justify"><font face="Verdana" size="2">Most African countries have  major problems of malnutrition in certain sectors of their population. Despite  an increase in the pace of development,the problems have persisted probably due  to the low production of food,its distribution and or its quality (Ojedapo et  al., 2009). A number of researchers (Omoregie, 2001; Amaefule et al., 2006;  Adejinmi et al., 2007) have attributed the main cause of hunger and malnutrition  in these countries to the unavailability of good quality feeds in terms of  protein, energy and mineral content.</font></p>     <p align="justify"><font face="Verdana" size="2">Among the various nutritional  deficiencies identified in these developing countries, protein malnutrition has  been reported to be most acute. Apart from the fact that protein intake is very  low, most of it comes from vegetable sources (Nworgu et al., 2006). Developing  countries in Africa and Asia are believed to own more than 60% of the world’s  cattle, over 90% of the buffaloes, about 50% of the sheep, pigs and poultry and  the largest number of other grazing animals useful to human beings ( FAOSTAT,  2000). In addition, some marine and wildlife species contribute immensely to  non-conventional sources of animal protein.</font></p>     <p align="justify"><font face="Verdana" size="2">South-western Nigeria  constitutes a typical lowland rainforest zone characterised by thick vegetation  with big trees, rivers and streams. Sources of edible meat in this study area  include ruminants, non-ruminants and marine creatures. Among these, beef,  broiler and two types of fish; African catfish and Tilapia (Clarias lazera and  Tilapia macrocephala respectively) were chosen for this study because of their  relative popularity as sources of animal protein, their ready availability and  comparative cheapness to various income classes. Prices of protein diets soar in  the markets everyday and various meat and meat products vary in their demand  pattern due to differences in their cost, taste, environment, preference and  consumption patterns. An attempt was therefore made to compare the proximate  composition of beef, broiler and the fish types with a view to recommending an  economically modest meat for the inhabitants of the study area.</font></p>     <p align="justify"><b><font face="Verdana" size="2">MATERIALS AND METHODS</font></b></p>     <p align="justify"><font face="Verdana" size="2">One hundred grammes of each of  the meat type was obtained fresh and used for the proximate analysis. For the  beef, the sample was excised from the loin eye area; the Longissimus dorsi (LD)  while for the broiler, the thigh muscle area was used. Also the muscles of the  back region of the fishes were selected.</font></p>     <p align="justify"><font face="Verdana" size="2">Each meat sample was separately  communited into fine fibre fragments in a meat homogeniser after which they were  packaged in cellophane bags, labelled and stored in a frostless freezer at about  -10 oC. Proximate analysis was carried out within 24 hours of storage with the  methods of analysis described by the Association of Official Analytical Chemists  (AOAC, 2000). Parameters investigated on dry matter basis included crude protein  (CP),ether extract(EE),ash, crude fibre(CF) and nitrogen free extract (NFE).Each  analysis was replicated four times in a completely randomized design(CRD).</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2">A couple of techniques were  used to obtain the price of each of the meat types in the study area. The first  method used was the Consumer Panel Approach (CPA) where direct information on  consumer prices was obtained. Then, prices from the various recognized meat  shops were considered. In addition, price surveys were carried out in the  surrounding local markets for both live and slaughtered cow ,live and dressed  broiler chickens and live and frozen fish types. The average of the prices  obtained from these combined sources for each of the meat type concerned was  assumed for the fresh samples in the study area. Dry weight of each meat type  was obtained by determining the moisture content using the method earlier  described by AOAC (2000).</font></p>     <p align="justify"><font face="Verdana" size="2">Data generated were subjected  to analysis of variance using the Statistical Analysis Software (SAS, 1999) and  means where significant were separated with the Duncan’s option of the same  software.</font></p>     <p align="justify"><b><font face="Verdana" size="2">RESULTS AND DISCUSSION</font></b></p>     <p align="justify"><font face="Verdana" size="2"><a href="#tab1">Table 1</a>  shows the proximate composition of beef, broiler meat, African catfish and  Tilapia. No significant(P&gt;0.05) difference was observed between the mean CP  content of all the meat types analysed although it was highest for the beef  sample and lowest for the Tilapia. The range was from 90.81% to 92.75%.</font></p>     <p align="center"><font face="Verdana" size="2"><b>Table 1.</b> The proximate  composition of beef, broiler meat, African catfish meat and Tilapia meat (on dry  matter basis) in 2009.</font></p>     <p align="center"><a name="tab1"> <img border="0" src="/img/fbpe/zt/v29n2/art10tab1.gif" width="580" height="145" align="center"></a></p>     
<p align="center"><font face="Verdana" size="2">abc: Means along the same row  with different superscript are significantly (P&lt;0.05) different.    <br> SEM: Standard Error of Means.</font></p>     <p align="justify"><font face="Verdana" size="2">Meanwhile, significant (P&lt;0.05)  differences were observed between the mean EE, ash and NFE of the meat types  analysed.</font></p>     <p align="justify"><font face="Verdana" size="2">For the EE content, the range  was from 4.59% (beef) to 3.18%(African catfish) while for ash content, broiler  meat ranked first(P&lt;0.05) and for NFE, Tilapia ranked first. However, all the  meat types analysed had no crude fibre.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><font face="Verdana" size="2"><a href="#tab2">Table 2</a>  shows the average market prices of beef, broiler meat and the fish types in the  study area as at the time of sampling. The average market prices of beef was  N2229.24 (US$ 14.86) per kilogram (kg) dry weight while that of broiler meat was  N2493.75 (US$ 16.62).That of African catfish was N2400.00 (US$ 16.00) and  Tilapia cost N1932.00 (US$ 12.88) per kg dry weight. All prices were derived on  the basis of dry weight of the edible portion of the samples.</font></p>     <p align="center"><font face="Verdana" size="2"><b>Table 2.</b> Average market  prices of beef, broiler meat, African catfish meat and Tilapia meat in 2009.</font></p>     <p align="center"><a name="tab2"> <img border="0" src="/img/fbpe/zt/v29n2/art10tab2.gif" width="577" height="126" align="center"></a></p>     
<p align="center"><font face="Verdana" size="2">abc: Means along the same column  with different superscript are significantly (P&lt;0.05) different.    <br> SEM: Standard Error of Means.</font></p>     <p align="justify"><font face="Verdana" size="2">The results of the crude  protein as shown in <a href="#tab1">Table 1</a> is in favour of the beef type  with an average value of 92.75% which is superior to others (P&lt;0.05). This  observation is in agreement with those of Okubanjo (1997) who claimed that the  trotters of cattle contain about 92.15% protein which was found to be superior  to other sources of meat. However, Lawrie (1981) and Hamilton (1982) ranked fish  and chicken above beef. These variations may be due to differences in sampling  methods (Omojola and Adesehinwa, 2006) ,age, sex, genetic, and environmental  factors( Maltin et al., 2003).</font></p>     <p align="justify"><font face="Verdana" size="2">The result of the EE content  revealed that beef had the highest lipid content of 4.59% followed by broiler  meat (4.34%), Tilapia (3.35%) while the least value came from African catfish  (3.18%). The higher fat content of beef may be responsible for its juiciness and  sweet aroma upon cooking and that of broiler meat.</font></p>     <p align="justify"><font face="Verdana" size="2">Broiler meat and African  catfish had higher values of mineral contents (0.62% and 0.61% respectively)  indicating superiority over beef and Tilapia (0.41% and 0.40% respectively).Non-detectable  amount of crude fibre in all meat types supports their high digestibility.</font></p>     <p align="justify"><font face="Verdana" size="2"><a href="#tab2">Table 2</a>  shows that Tilapia was the cheapest source of meat in this study (N42.00{US$  0.28} per 100g fresh weight) followed by African catfish (N48.00). Beef was  N52.00 {US$ 0.35} per 100g fresh weight and broiler meat was the most expensive  being N57.00 {US$ 0.38} per 100g fresh weight on the average. The meat types  investigated have relatively higher and similar crude protein content. Beef  contains higher fat than other meat types and this may be responsible for its  juiciness and sweet aroma upon cooking.</font></p>     <p align="justify"><font face="Verdana" size="2">The market price analysis  suggests that the cheapest meat among these types investigated was Tilapia  costing N420.00 {US$ 2.80} per kilogram fresh weight compared to N570.00 {US$  3.80} for broiler meat and N520.00 {US$ 3.47} for beef and N480.00 {US$ 3.20 }  for African catfish. At the price of N2229.24 {US$ 14.86} per kilogram dry  weight of beef, one gram of CP will cost N2.07 {US$ 0.014}, while for broiler  meat, African catfish and Tilapia, it would cost N2.30{US$ 0.015},N2.21{US$  0.0147} and N1.75{US$ 0.012} respectively.</font></p>     ]]></body>
<body><![CDATA[<p align="justify"><b><font face="Verdana" size="2">CONCLUSION</font></b></p>     <p align="justify"><font face="Verdana" size="2">From these analyses, it could  be concluded that beef is relatively superior to other meat types in term of  protein and fat content while Tilapia was the cheapest source of animal protein  in the study area as the time of this research.</font></p>     <p align="justify"><b><font face="Verdana" size="2">LITERATURE CITED</font></b></p>     <!-- ref --><p align="justify"><span lang="EN-US" style="font-size:10.0pt;font-family: Verdana;mso-fareast-font-family:&quot;Times New Roman&quot;;mso-bidi-font-family:&quot;Times New Roman&quot;; mso-ansi-language:EN-US;mso-fareast-language:ES;mso-bidi-language:AR-SA">1. Adejinmi, O.O., R.A. Hamzat, and J.B. Fapohunda. 2008. Performance and Nutrient digestibility of Rabbits fed Fermented and Unfermented Cocoa Pod husk. Nig. J. for Anim.Prod. 34(1): 63-68.</span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2679923&pid=S0798-7269201100020001000001&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">2. A.O.A.C .2000. Association  of Official Analytical Chemists.Official Methods of Analysis.17th  Ed.Washington,D.C.USA,pp: 69-88.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2679924&pid=S0798-7269201100020001000002&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><span lang="EN-US" style="font-size:10.0pt;font-family:Verdana;mso-ansi-language: EN-US">3. Amaefule, K.U., M.O. Ironkwe and G.S. Ojewola. 2006. Performance of Growers Pullets fed raw or processed pigeon pea seed meal diets . Int. J. Poult. Sc. 5(1): 60-64.</span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2679925&pid=S0798-7269201100020001000003&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">4. FAOSTAT. 2000. Food and  Agricultural Organization of United Nations. Livestock Statistics Database,  2000.</font>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2679926&pid=S0798-7269201100020001000004&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><span lang="EN-US" style="font-size:10.0pt;font-family:Verdana;mso-ansi-language: EN-US">5. Hamilton, C.I. 1982. A personal view of Teaching Nutrition. Nutrition and Food Sci. 75:6-10.</span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=2679927&pid=S0798-7269201100020001000005&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><!-- ref --><p align="justify"><font face="Verdana" size="2">6. Lawrie, R. A. 1981. 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