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<art>
   <ui>1297-9686-42-18</ui>
   <ji>1297-9686</ji>
   <fm>
      <dochead>Research</dochead>
      <bibl>
         <title>
            <p>Molecular genetic analysis of a cattle population to reconstitute the extinct <it>Algarvia </it>breed</p>
         </title>
         <aug>
            <au id="A1"><snm>Ginja</snm><fnm>Catarina</fnm><insr iid="I1"/><email>cjginja@ucdavis.edu</email></au>
            <au id="A2"><snm>Penedo</snm><mi>CT</mi><fnm>Maria</fnm><insr iid="I1"/><email>mctorrespenedo@ucdavis.edu</email></au>
            <au id="A3"><snm>Sobral</snm><mi>F</mi><fnm>Maria</fnm><insr iid="I2"/><email>fatima.sobral@gmail.com</email></au>
            <au id="A4"><snm>Matos</snm><fnm>Jos&#233;</fnm><insr iid="I3"/><email>jose.matos@inrb.pt</email></au>
            <au id="A5"><snm>Borges</snm><fnm>Carla</fnm><insr iid="I3"/><email>carla.borges@inrb.pt</email></au>
            <au id="A6"><snm>Neves</snm><fnm>Dina</fnm><insr iid="I4"/><email>dneves@ualg.pt</email></au>
            <au id="A7"><snm>Rangel-Figueiredo</snm><fnm>Teresa</fnm><insr iid="I5"/><email>trangel@utad.pt</email></au>
            <au ca="yes" id="A8"><snm>Cravador</snm><fnm>Alfredo</fnm><insr iid="I6"/><email>acravad@ualg.pt</email></au>
         </aug>
         <insg>
            <ins id="I1"><p>University of California, Veterinary Genetics Laboratory, One Shields Avenue, DAVIS, California 95616, USA</p></ins>
            <ins id="I2"><p>Direc&#231;&#227;o Geral de Veterin&#225;ria-DSPA, Rua Elias Garcia 30, Venda Nova, 2704-507 AMADORA, Portugal</p></ins>
            <ins id="I3"><p>L-INIA - P&#243;lo do Lumiar Unidade de Investiga&#231;&#227;o em Recursos Gen&#233;ticos, Ecofisiologia e Melhoramento de Plantas, Grupo de Biologia Molecular, Estrada do Pa&#231;o do Lumiar, 22 Ed S 1&#186; andar 1649-038 LISBOA, Portugal</p></ins>
            <ins id="I4"><p>Universidade do Algarve, FCT, Campus de Gambelas, 8005-139 FARO, Portugal</p></ins>
            <ins id="I5"><p>CECAV - Universidade de Tr&#225;s-os-Montes e Alto Douro, Departamento de Zootecnia, Apartado 1013, 5000-911 VILA REAL, Portugal</p></ins>
            <ins id="I6"><p>IBB/CGB - Universidade do Algarve, Campus de Gambelas, 8005-139 FARO Portugal</p></ins>
         </insg>
         <source>Genetics Selection Evolution</source>
         <issn>1297-9686</issn>
         <pubdate>2010</pubdate>
         <volume>42</volume>
         <issue>1</issue>
         <fpage>18</fpage>
         <url>http://www.gsejournal.org/content/42/1/18</url>
         <xrefbib><pubidlist><pubid idtype="doi">10.1186/1297-9686-42-18</pubid><pubid idtype="pmpid">20540741</pubid></pubidlist></xrefbib>
      </bibl>
      <history><rec><date><day>13</day><month>1</month><year>2010</year></date></rec><acc><date><day>11</day><month>6</month><year>2010</year></date></acc><pub><date><day>11</day><month>6</month><year>2010</year></date></pub></history>
      <cpyrt><year>2010</year><collab>Ginja et al; licensee BioMed Central Ltd.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</note></cpyrt>
      <abs>
         <sec>
            <st>
               <p>Abstract</p>
            </st>
            <sec>
               <st>
                  <p>Background</p>
               </st>
               <p>Decisions to initiate conservation programmes need to account for extant variability, diversity loss and cultural and economic aspects. Molecular markers were used to investigate if putative Algarvia animals could be identified for use as progenitors in a breeding programme to recover this nearly extinct breed.</p>
            </sec>
            <sec>
               <st>
                  <p>Methods</p>
               </st>
               <p>46 individuals phenotypically representative of Algarvia cattle were genotyped for 27 microsatellite loci and compared with 11 Portuguese autochthonous and three imported breeds. Genetic distances and factorial correspondence analyses (FCA) were performed to investigate the relationship among Algarvia and related breeds. Assignment tests were done to identify representative individuals of the breed. Y chromosome and mtDNA analyses were used to further characterize Algarvia animals. Gene- and allelic-based conservation analyses were used to determine breed contributions to overall genetic diversity.</p>
            </sec>
            <sec>
               <st>
                  <p>Results</p>
               </st>
               <p>Genetic distance and FCA results confirmed the close relationship between Algarvia and southern Portuguese breeds. Assignment tests without breed information classified 17 Algarvia animals in this cluster with a high probability (q &gt; 0.95). With breed information, 30 cows and three bulls were identified (q &gt; 0.95) that could be used to reconstitute the Algarvia breed. Molecular and morphological results were concordant. These animals showed intermediate levels of genetic diversity (MNA = 6.0 &#177; 1.6, R<sub>t</sub> = 5.7 &#177; 1.4, H<sub>o</sub> = 0.63 &#177; 0.19 and H<sub>e</sub> = 0.69 &#177; 0.10) relative to other Portuguese breeds. Evidence of inbreeding was also detected (F<sub>is</sub> = 0.083, <it>P</it> &lt; 0.001). The four Algarvia bulls had Y-haplotypes H6Y2 and H11Y2, common in Portuguese cattle. The mtDNA composition showed prevalence of T3 matrilines and presence of the African-derived T1a haplogroup. This analysis confirmed the genetic proximity of Algarvia and Garvonesa breeds (F<sub>st</sub> = 0.028, <it>P</it> &gt; 0.05). Algarvia cattle provide an intermediate contribution (CB = 6.18, CW = -0.06 and D1 = 0.50) to the overall gene diversity of Portuguese cattle. Algarvia and seven other autochthonous breeds made no contribution to the overall allelic diversity.</p>
            </sec>
            <sec>
               <st>
                  <p>Conclusions</p>
               </st>
               <p>Molecular analyses complemented previous morphological findings to identify 33 animals that can be considered remnants of the Algarvia breed. Results of genetic diversity and conservation analyses provide objective information to establish a management program to reconstitute the Algarvia breed.</p>
            </sec>
         </sec>
      </abs>
   </fm>
   <bdy>
      <sec>
         <st>
            <p>Background</p>
         </st>
         <p>Breeding practices designed to alleviate production constraints are prejudicial to the survival of traditional domestic animal breeds, and tend to lead to impoverishment of the gene pool <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>. The Food and Agriculture Organization of the United Nations has encouraged a series of conservation measures designed to help prevent irreversible loss of diversity of domesticated animal species <abbrgrp><abbr bid="B2">2</abbr></abbrgrp>. A heightened awareness of the cultural, historical and social heritage represented by traditional breeds has led to increased interest in their preservation <abbrgrp><abbr bid="B3">3</abbr></abbrgrp>. Despite its small geographic area, Portugal hosts a wide variety of domestic breeds <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>, with as many as 13 autochthonous cattle breeds recognized <abbrgrp><abbr bid="B4">4</abbr><abbr bid="B5">5</abbr></abbrgrp>. Analysis of genetic diversity of some of these breeds has used blood protein polymorphisms <abbrgrp><abbr bid="B6">6</abbr></abbrgrp>, microsatellite variation <abbrgrp><abbr bid="B7">7</abbr><abbr bid="B8">8</abbr><abbr bid="B9">9</abbr><abbr bid="B10">10</abbr><abbr bid="B11">11</abbr><abbr bid="B12">12</abbr></abbrgrp>, mitochondrial DNA (mtDNA) <abbrgrp><abbr bid="B13">13</abbr><abbr bid="B14">14</abbr></abbrgrp> and Y chromosome sequence variation <abbrgrp><abbr bid="B15">15</abbr></abbrgrp>. These studies have shown that, among European cattle, the Mirandesa breed is one of the most important targets for preservation based on its contribution to diversity <abbrgrp><abbr bid="B8">8</abbr></abbrgrp>. In general, southern European cattle appear to represent particularly important reservoirs of genetic diversity <abbrgrp><abbr bid="B16">16</abbr></abbrgrp>.</p>
         <p><it>Algarvia </it>cattle are native to the Algarve region of southern Portugal and were first represented in 1868 <abbrgrp><abbr bid="B17">17</abbr></abbrgrp> and later described with more details <abbrgrp><abbr bid="B18">18</abbr><abbr bid="B19">19</abbr><abbr bid="B20">20</abbr><abbr bid="B21">21</abbr><abbr bid="B22">22</abbr><abbr bid="B23">23</abbr></abbrgrp>. Based on its morphology, the breed has been classified in the Aquitanian (or Red Convex) group, together with Alentejana, Mertolenga, Garvonesa and Minhota <abbrgrp><abbr bid="B23">23</abbr><abbr bid="B24">24</abbr></abbrgrp>. Except for Minhota, these breeds are distributed throughout the southern river Tagus valley. <it>Algarvia </it>cattle were used predominantly for meat production and/or draft. Although they were never formally registered as an independent breed, 25,000 - 29,000 animals were officially catalogued between 1940 and 1970 <abbrgrp><abbr bid="B25">25</abbr></abbrgrp>. Since then, the population has declined rapidly and the breed was considered to be effectively extinct by the 1980s <abbrgrp><abbr bid="B1">1</abbr></abbrgrp>, an event that subjected the Regional Agricultural Authorities to criticism for failure to implement proper conservation measures.</p>
         <p>The morphology of eight autochthonous Portuguese cattle breeds has been analyzed by numerical taxonomic methods <abbrgrp><abbr bid="B26">26</abbr></abbrgrp>, and these analyses have been extended recently to include animals thought to derive from the <it>Algarvia </it>breed <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. This study identified a uniform group of animals that shared many of the phenotypic characteristics of that breed. These remnants were preserved mainly for cultural reasons by traditional breeders in different areas of Algarve and southern Alentejo regions.</p>
         <p>In the present study, we have characterized these putative <it>Algarvia </it>animals using nuclear microsatellites, Y chromosome markers and mtDNA sequences to determine to which extent they can be genetically distinguished from related autochthonous breeds, and to identify individuals that would represent suitable progenitors for a breeding programme to reconstitute the <it>Algarvia </it>breed.</p>
      </sec>
      <sec>
         <st>
            <p>Methods</p>
         </st>
         <sec>
            <st>
               <p>Sampling procedure</p>
            </st>
            <p>Forty-six animals (42 females and four males) were chosen from ten independent herds and consisted of individuals thought to derive from the <it>Algarvia </it>cattle on the basis of phenotypic similarity, as judged by traditional farmers with experience on the breed characteristics <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>.</p>
            <p>Additionally, samples from Garvonesa (29) and Preta (47) breeds were collected because they are present throughout the southern region of the country and admixture with <it>Algarvia </it>cannot be excluded. The herds in which putative <it>Algarvia </it>individuals were located also had animals from the Alentejana breed. A 9 ml whole blood sample was collected from each individual by jugular venipuncture in tubes containing EDTA-K3 as anticoagulant. Genomic DNA was extracted from leukocytes using the Puregene DNA Isolation Kit (Gentra Systems, Minneapolis, USA).</p>
         </sec>
         <sec>
            <st>
               <p>Microsatellite genotyping</p>
            </st>
            <p>A set of 27 microsatellite markers <it>(BM1818, BM1824, BM203, BM2113, BM2613, BRRIBO, CSSM36, CYP21, ETH10, ETH152, ETH225, ETH3, HEL11, HEL13, HEL9, ILSTS035, ILSTS065, INRA023, MGTG4B, RM006, RM067, SPS115, TGLA122, TGLA126, TGLA227, TGLA345 </it>and <it>TGLA53</it>) was used to genotype each animal. Multiplex PCR were performed using fluorescence-labelled primers, as described by Mateus <it>et al</it>. <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>. PCR products were separated by capillary electrophoresis on ABI PRISM<sup>&#174; </sup>310 instruments (Applied Biosystems, Foster City, CA) and fragment size analysis was done with STRand software <abbrgrp><abbr bid="B28">28</abbr></abbrgrp>. Genotypes from nine Portuguese autochthonous and three imported breeds were obtained from Mateus <it>et al</it>. <abbrgrp><abbr bid="B12">12</abbr><abbr bid="B29">29</abbr></abbrgrp>, thus the complete dataset included, in addition to the above breeds, Alentejana (50 individuals), Arouquesa (50), Barros&#227; (50), Brava de Lide (40), Minhota (50), Marinhoa (51), Maronesa (47), Mertolenga (50) and Mirandesa (50), Charolais (45), Friesian (35) and Limousin (48). Reference samples were included in all PCR assays to standardize allele sizing across datasets.</p>
         </sec>
         <sec>
            <st>
               <p>Statistical analysis of microsatellite data</p>
            </st>
            <p>Allele frequencies were determined with GENALEX version 6 <abbrgrp><abbr bid="B30">30</abbr></abbrgrp>. The software GENEPOP version 3.4 <abbrgrp><abbr bid="B31">31</abbr></abbrgrp> was used to perform global and per locus/per population Hardy-Weinberg Equilibrium (HWE) tests, and to test for genotypic linkage disequilibrium (LD). Exact probability tests were done for loci with four or fewer alleles; otherwise, a Markov chain method was employed <abbrgrp><abbr bid="B31">31</abbr></abbrgrp> with 10,000 dememorization steps, 500 batches and 5,000 iterations. GENETIX version 4.02 <abbrgrp><abbr bid="B32">32</abbr></abbrgrp> was used to estimate within-population observed (H<sub>o</sub>) and unbiased expected (H<sub>e</sub>) heterozygosities <abbrgrp><abbr bid="B33">33</abbr></abbrgrp>, the mean number of alleles (MNA), and inbreeding coefficients (F<sub>is</sub>) <abbrgrp><abbr bid="B34">34</abbr></abbrgrp>. The statistical significance of F<sub>is </sub>&gt; 0 was obtained based on 1,000 permutations. Pairwise population F<sub>st </sub>values were calculated with FSTAT version 2.9.3 <abbrgrp><abbr bid="B35">35</abbr></abbrgrp> and <it>P</it>-values obtained based on 1,000 randomizations. This software was also used to estimate allelic richness (R<sub>t</sub>) per locus and population. To investigate breed relationships, neighbour-joining (N-J) dendrograms <abbrgrp><abbr bid="B36">36</abbr></abbrgrp> were constructed from D<sub>A </sub>genetic distances <abbrgrp><abbr bid="B37">37</abbr></abbrgrp> using POPULATIONS version 1.2.28 <abbrgrp><abbr bid="B38">38</abbr></abbrgrp>. Bootstrap values were obtained with 1,000 replicates over loci. A dendrogram based on allele-sharing distances between individuals was also constructed using this software. TREEVIEW version 1.6.6 <abbrgrp><abbr bid="B39">39</abbr></abbrgrp> was used to visualize and edit the dendrograms. A factorial correspondence analysis (FCA) was done with GENETIX to investigate relationships among individuals. Assignment tests were performed to identify individuals most representative of the <it>Algarvia </it>breed and to detect admixture. STRUCTURE version 2.2 <abbrgrp><abbr bid="B40">40</abbr></abbrgrp> was used to estimate the most probable number of population clusters (K). The analysis was done without prior information on populations, assuming correlated allele frequencies and admixture <abbrgrp><abbr bid="B41">41</abbr></abbrgrp>. Ten independent runs with 100,000 Markov Chain Monte Carlo (MCMC) iterations and 10,000 <it>burn-in </it>were performed at each K (1 &#8804; K &#8804; 9) to calculate &#916;K as in Evanno <it>et al</it>. <abbrgrp><abbr bid="B42">42</abbr></abbrgrp>. A longer run (1,000,000 iterations and 100,000 <it>burn-in</it>) was done for the most probable K to determine the number of individuals within each cluster. An assignment test with these settings but including prior breed information was also performed. The partially Bayesian simulation-exclusion procedures of GENECLASS version 2.0 <abbrgrp><abbr bid="B43">43</abbr></abbrgrp> were used for assignment tests with 10,000 Monte Carlo resamplings of individuals <abbrgrp><abbr bid="B44">44</abbr><abbr bid="B45">45</abbr><abbr bid="B46">46</abbr></abbrgrp>.</p>
            <p>The contribution of each population to the overall genetic diversity was analysed considering the within- (CW) and between-breed (CB) diversity components, and aggregate genetic diversity (D1 = F<sub>st</sub>*CB + (1-F<sub>st</sub>)*CW) as described by Ollivier and Foulley <abbrgrp><abbr bid="B47">47</abbr></abbrgrp>. METAPOP software version 1.0.2. <abbrgrp><abbr bid="B48">48</abbr></abbrgrp> was used to account for allelic diversity and estimate the contribution of each population (c<sub>i</sub>) to a pool of maximal genetic diversity <abbrgrp><abbr bid="B49">49</abbr></abbrgrp>. Equal weights were given to within- and between-breed coancestries (&#955; = l). The average molecular coancestry (<it>f</it><sub>m</sub>) of each population was also obtained with this software.</p>
         </sec>
         <sec>
            <st>
               <p>Analysis of Y chromosome markers</p>
            </st>
            <p>The four putative <it>Algarvia </it>males were genotyped for one SNP (<it>UTY intron 19 AY936543: g.423C &gt; A</it>), one <it>indel </it>(<it>ZFY intron 10 AF241271: g.697_8indelGT</it>), and five microsatellites (<it>DDX3Y_1, BM861, INRA189, UMN0103 </it>and <it>UMN0307</it>) located in the male-specific region of the bovine Y chromosome. Analyses were done as described by Ginja <it>et al</it>. <abbrgrp><abbr bid="B15">15</abbr></abbrgrp> for a comparison with previously identified patrilines in Portuguese autochthonous breeds.</p>
         </sec>
         <sec>
            <st>
               <p>Analysis of mtDNA sequence variation</p>
            </st>
            <p>A 919 bp PCR fragment containing the complete mtDNA control region was obtained and sequenced for <it>Algarvia </it>animals. The analysis was done as described by Ginja <it>et al</it>. <abbrgrp><abbr bid="B50">50</abbr></abbrgrp> and sequences were aligned with the taurine reference sequence [GenBank: <ext-link ext-link-id="V00654" ext-link-type="gen">V00654</ext-link>, <abbrgrp><abbr bid="B51">51</abbr></abbrgrp>] using the Multalin interface <url>http://bioinfo.genotoul.fr/multalin/multalin.html</url>. Haplotypes were identified with GENALEX <abbrgrp><abbr bid="B30">30</abbr></abbrgrp> and ARLEQUIN version 2.0 <abbrgrp><abbr bid="B52">52</abbr></abbrgrp> was used to calculate haplotype diversity (H), nucleotide diversity (&#960;), and the mean number of pairwise nucleotide differences (MNPD) accounting for heterogeneity of substitution rates per site <abbrgrp><abbr bid="B53">53</abbr></abbrgrp>. mtDNA sequences of the southern Portuguese autochthonous breeds and the imported Limousin were obtained from the GenBank database [accession numbers: <ext-link ext-link-id="FJ815445-59" ext-link-type="gen">FJ815445-59</ext-link>, <ext-link ext-link-id="FJ815525-40" ext-link-type="gen">FJ815525-40</ext-link>, <ext-link ext-link-id="FJ815573-88" ext-link-type="gen">FJ815573-88</ext-link>, <ext-link ext-link-id="FJ815620-35" ext-link-type="gen">FJ815620-35</ext-link> and <ext-link ext-link-id="FJ815880-95" ext-link-type="gen">FJ815880-95</ext-link>] and used in ARLEQUIN to estimate pairwise-population F<sub>st </sub>values (5% significance level obtained with 10,000 permutations). A Median-Joining (MJ) network of haplotypes was constructed with NETWORK version 4.5.10 <abbrgrp><abbr bid="B54">54</abbr></abbrgrp> software to investigate breed relationships.</p>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Results</p>
         </st>
         <sec>
            <st>
               <p>Genetic relationships between <it>Algarvia </it>and other breeds</p>
            </st>
            <p>The genetic distance analysis confirmed that the putative <it>Algarvia </it>animals were close to the southern Garvonesa and Alentejana breeds, and distant from northern breeds such as Mirandesa (Additional file <supplr sid="S1">1</supplr> Figure S1). It also showed that this group of animals was more closely related to Preta than to Brava de Lide, both of which are considered to belong to the Black Orthoid breed group. Relationships among the individuals of <it>Algarvia </it>and of southern Portuguese breeds that clustered with <it>Algarvia </it>in Additional file <supplr sid="S1">1</supplr> Figure S1 are shown in the N-J dendrogram of allele sharing distances in Figure <figr fid="F1">1</figr>. Limousin cattle was included in the analysis because they are raised in the southern region of Portugal and have been used to upgrade the autochthonous breeds <abbrgrp><abbr bid="B24">24</abbr></abbrgrp>. Thirty-two <it>Algarvia </it>animals formed two closely related subgroups each containing a few Alentejana animals. Five <it>Algarvia </it>individuals clustered with Garvonesa (AG24, AG27, AG33, AG34 and AG35), four with Preta (AG40, AG41, AG42 and AG43) and five with Mertolenga (AG12, AG17, AG23, AG32 and AG37). Results of the FCA showed that Preta is the most distant breed but that among southern Portuguese breeds including <it>Algarvia </it>genetic differentiation was weak (Additional file <supplr sid="S2">2</supplr> Figure S2). The relationships among individuals represented in the FCA graph were consistent with those shown in Figure <figr fid="F1">1</figr>.</p>
            <fig id="F1"><title><p>Figure 1</p></title><caption><p>Neighbour-Joining dendrogram</p></caption><text>
   <p><b>Neighbour-Joining dendrogram</b>. The N-J dendrogram is based on allele sharing distances among animals from the autochthonous breeds Alentejana (Alt, N = 50), Garvonesa (Garv, N = 29), Mertolenga (Mert, N = 50), Preta (Pret, N = 47), the <it>Algarvia </it>population (AG, N = 46) and the imported Limousin(LM, N = 48)</p>
</text><graphic file="1297-9686-42-18-1"/></fig>
            <suppl id="S1">
               <title>
                  <p>Additional file 1</p>
               </title>
               <text>
                  <p><b>Figure S1 - Neighbour-Joining dendrogram</b>. The N-J dendogram is based on pairwise D<sub>A </sub>distances among Portuguese cattle, imported breeds and the <it>Algarvia </it>population (N = 46); Boostrap values are indicated.</p>
               </text>
               <file name="1297-9686-42-18-S1.PDF">
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</file>
            </suppl>
            <suppl id="S2">
               <title>
                  <p>Additional file 2</p>
               </title>
               <text>
                  <p>
                     <b>Figure S2 - Results of the factorial correspondence analysis</b>
                  </p>
               </text>
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            </suppl>
         </sec>
         <sec>
            <st>
               <p>Assignment of <it>Algarvia </it>cattle</p>
            </st>
            <p>STRUCTURE analyses assume that within a population all loci are in HWE and linkage equilibrium <abbrgrp><abbr bid="B40">40</abbr></abbrgrp>. Although for some breeds a high number of loci showed significant (<it>P </it>&lt; 0.05) deviations from HWE without correction for multiple testing (Additional file <supplr sid="S3">3</supplr> Table S1), the assignments with STRUCTURE were conducted to include all loci, because some deviations from HWE are not expected to affect the performance of the test <abbrgrp><abbr bid="B55">55</abbr></abbrgrp>. The HWE deviations found in Brava de Lide and Preta breeds are most probably related with a <it>Wahlund </it>effect and/or inbreeding, considering that the F<sub>is </sub>values for these breeds were highly significant [see discussion for Brava de Lide in <abbrgrp><abbr bid="B12">12</abbr></abbrgrp>]. Within breeds, LD was significant (<it>P </it>&lt; 0.001) for one pair of loci in the Alentejana breed, four in the Preta and four in the Brava de Lide, but none of these corresponded to markers located on the same chromosome. The assignment tests of STRUCTURE and GENECLASS were done exclusively for the <it>Algarvia </it>animals, the related southern breeds (Alentejana, Garvonesa, Mertolenga and Preta) and the Limousin cattle to determine which <it>Algarvia </it>animals clustered as an independent group, and to detect admixture. The STRUCTURE assignments without prior information on source breeds showed the highest &#916;K at K = 6 (Additional file <supplr sid="S4">4</supplr> Figure S3). The estimated genotype membership coefficients (q) obtained for each individual are shown in Figure <figr fid="F2">2</figr>. <it>Algarvia </it>animals clustered with the Alentejana and Mertolenga breeds at K = 2 and only appeared as an independent cluster at K = 6.</p>
            <fig id="F2"><title><p>Figure 2</p></title><caption><p>Graphical representation of the estimated membership coefficients (q)</p></caption><text>
   <p><b>Graphical representation of the estimated membership coefficients (q)</b>. STRUCTURE was used to obtain q values for each individual of the southern Portuguese breeds and the imported Limousin with K varying from 2 to 6</p>
</text><graphic file="1297-9686-42-18-2"/></fig>
            <suppl id="S3">
               <title>
                  <p>Additional file 3</p>
               </title>
               <text>
                  <p>
                     <b>Table S1 - Estimated genetic diversity for <it>Algarvia </it>animals, 11 Portuguese and three imported cattle breeds</b>
                  </p>
               </text>
               <file name="1297-9686-42-18-S3.PDF">
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            </suppl>
            <suppl id="S4">
               <title>
                  <p>Additional file 4</p>
               </title>
               <text>
                  <p><b>Figure S3 - Distribution of &#916;K obtained with STRUCTURE</b>. Analysis done without prior information on source breeds for K = 1 to K = 9 and calculated as in Evanno <it>et al</it>. <abbrgrp><abbr bid="B42">42</abbr></abbrgrp></p>
               </text>
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</file>
            </suppl>
            <p>Approximately 54% of all individuals were correctly allocated to each of the six clusters with q &#8805; 0.95 (Table <tblr tid="T1">1</tblr>). For the <it>Algarvia </it>cluster (K = 6), the average individual genotype membership proportion (Q) was 0.66 &#177; 0.40 and this cluster contained 17 individuals (37%) with q &#8805; 0.95 (AG4, AG5, AG6, AG7, AG8, AG10, AG13, AG14, AG15, AG16, AG18, AG19, AG22, AG24, AG25, AG27 and AG28). Among the remaining <it>Algarvia </it>animals, one (~2%) was misclassified with q &#8805; 0.95 and 28 (~61%) were not assigned to this population (q &lt; 0.95). When prior information on populations was used, ~85% of all individuals were correctly allocated with q &#8805; 0.95 (Table <tblr tid="T1">1</tblr>). Among the 46 <it>Algarvia </it>animals, 33 (72%) were allocated to this cluster with q &#8805; 0.95. These included the 17 listed above plus AG1, AG2, AG2M, AG3M, AG4M, AG9, AG11, AG20, AG21, AG26, AG29, AG30, AG31, AG40, AG42 and AG43. Eleven (24%) <it>Algarvia </it>animals were not assigned to this population (q &lt; 0.80) and admixture was detected with Garvonesa (AG33, AG34, AG35 and AG36), Limousin (AG23, AG32, AG37, AG39 and AG41) and Mertolenga breeds (AG12 and AG17). For the <it>Algarvia </it>population, the average value of Q was 0.85 &#177; 0.27 and was the lowest among all breeds.</p>
            <tbl id="T1"><title><p>Table 1</p></title><caption><p>Results of the Bayesian assignment tests done with STRUCTURE</p></caption><tblbdy cols="8">
      <r>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="3" ca="center">
            <p>
               <b>Without prior information</b>
            </p>
         </c>
         <c cspan="3" ca="center">
            <p>
               <b>With prior information</b>
            </p>
         </c>
      </r>
      <r>
         <c>
            <p/>
         </c>
         <c>
            <p/>
         </c>
         <c cspan="3">
            <hr/>
         </c>
         <c cspan="3">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>Population</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>N</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>Q &#177; SD</b>
            </p>
         </c>
         <c ca="left">
            <p><b>% Corr. assign</b>.</p>
         </c>
         <c ca="left">
            <p><b>% Mis</b>.</p>
         </c>
         <c ca="left">
            <p>
               <b>Q &#177; SD</b>
            </p>
         </c>
         <c ca="left">
            <p><b>% Corr. assign</b>.</p>
         </c>
         <c ca="left">
            <p><b>% Adm</b>.</p>
         </c>
      </r>
      <r>
         <c cspan="8">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Alentejana</p>
         </c>
         <c ca="left">
            <p>50</p>
         </c>
         <c ca="left">
            <p>0.89 &#177; 0.14</p>
         </c>
         <c ca="left">
            <p>48.0</p>
         </c>
         <c ca="left">
            <p>0.0</p>
         </c>
         <c ca="left">
            <p>0.97 &#177; 0.05</p>
         </c>
         <c ca="left">
            <p>82.0</p>
         </c>
         <c ca="left">
            <p>2.0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>
                  <it>Algarvia</it>
               </b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>46</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>0.66 &#177; 0.40</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>37.0</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>2.2</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>0.85 &#177; 0.27</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>71.7</b>
            </p>
         </c>
         <c ca="left">
            <p>
               <b>23.9</b>
            </p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Garvonesa</p>
         </c>
         <c ca="left">
            <p>29</p>
         </c>
         <c ca="left">
            <p>0.94 &#177; 0.07</p>
         </c>
         <c ca="left">
            <p>69.0</p>
         </c>
         <c ca="left">
            <p>0.0</p>
         </c>
         <c ca="left">
            <p>0.97 &#177; 0.07</p>
         </c>
         <c ca="left">
            <p>89.7</p>
         </c>
         <c ca="left">
            <p>3.4</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Limousin</p>
         </c>
         <c ca="left">
            <p>48</p>
         </c>
         <c ca="left">
            <p>0.95 &#177; 0.05</p>
         </c>
         <c ca="left">
            <p>70.8</p>
         </c>
         <c ca="left">
            <p>0.0</p>
         </c>
         <c ca="left">
            <p>0.98 &#177; 0.04</p>
         </c>
         <c ca="left">
            <p>93.8</p>
         </c>
         <c ca="left">
            <p>2.1</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Mertolenga</p>
         </c>
         <c ca="left">
            <p>50</p>
         </c>
         <c ca="left">
            <p>0.90 &#177; 0.15</p>
         </c>
         <c ca="left">
            <p>50.0</p>
         </c>
         <c ca="left">
            <p>0.0</p>
         </c>
         <c ca="left">
            <p>0.97 &#177; 0.07</p>
         </c>
         <c ca="left">
            <p>88.0</p>
         </c>
         <c ca="left">
            <p>4.0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Preta</p>
         </c>
         <c ca="left">
            <p>47</p>
         </c>
         <c ca="left">
            <p>0.89 &#177; 0.18</p>
         </c>
         <c ca="left">
            <p>53.2</p>
         </c>
         <c ca="left">
            <p>0.0</p>
         </c>
         <c ca="left">
            <p>0.94 &#177; 0.19</p>
         </c>
         <c ca="left">
            <p>85.1</p>
         </c>
         <c ca="left">
            <p>7.4</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Overall</p>
         </c>
         <c ca="left">
            <p>270</p>
         </c>
         <c ca="left">
            <p>0.87 &#177; 0.22</p>
         </c>
         <c ca="left">
            <p>53.7</p>
         </c>
         <c ca="left">
            <p>0.4</p>
         </c>
         <c ca="left">
            <p>0.95 &#177; 0.15</p>
         </c>
         <c ca="left">
            <p>84.8</p>
         </c>
         <c ca="left">
            <p>8.5</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p>N: sample size; Q: average genotype membership proportions; SD: standard deviation; Corr. assign.: percentage of correctly assigned animals with q &#8805; 0.95; Mis.: percentage of misassigned animals with q &#8805; 0.95; Adm.: percentage of admixed animals with q &lt; 0.800</p>
   </tblfn></tbl>
            <p>Results of GENECLASS assignments are summarized in Additional file <supplr sid="S5">5</supplr> Table S2. Animals were correctly assigned if the genotype probability was higher than the threshold exclusively in their source population. For <it>Algarvia </it>animals, ~22 to 50% of the individuals were correctly assigned with accuracies &gt; 0.94 (ratio between the number of correctly assigned individuals and the sum of correctly and incorrectly assigned). Depending on the threshold considered, between 2 and 20% of the <it>Algarvia </it>animals were excluded (genotype probabilities lower than the threshold in all populations) and 30 to 76% were assigned to multiple populations (genotype probabilities greater than the threshold in at least two populations).</p>
            <suppl id="S5">
               <title>
                  <p>Additional file 5</p>
               </title>
               <text>
                  <p>
                     <b>Table S2 - GENECLASS analysis of <it>Algarvia </it>(N = 46), southern Portuguese breeds (Alentejana, Garvonesa, Mertolenga and Preta) and Limousin cattle</b>
                  </p>
               </text>
               <file name="1297-9686-42-18-S5.PDF">
   <p>Click here for file</p>
</file>
            </suppl>
         </sec>
         <sec>
            <st>
               <p>Genetic diversity of <it>Algarvia</it></p>
            </st>
            <p>The genetic diversity (MNA = 6.0 &#177; 1.6, R<sub>t </sub>= 5.7 &#177; 1.4, H<sub>o </sub>= 0.63 &#177; 0.19 and H<sub>e </sub>= 0.69 &#177; 0.10) of the 33 <it>Algarvia </it>animals identified with STRUCTURE was identical to that found for the related Alentejana breed, and slightly lower than the average estimates across all breeds included in this study (Additional file <supplr sid="S3">3</supplr> Table S1, MNA = 6.8 &#177; 0.6, R<sub>t </sub>= 6.0 &#177; 1.8, H<sub>o </sub>= 0.67 &#177; 0.05 and H<sub>e </sub>= 0.70 &#177; 0.03). Ten population-specific alleles were found in the <it>Algarvia </it>population but none had a frequency greater than 0.05. Deviations from HWE were significant (<it>P </it>&lt; 0.05) due to heterozygote deficit at ten loci (<it>BM203, BM1824, BM2113, BRRIBO, ETH152, ILSTS035, SPS115, TGLA53, TGLA122</it>, and <it>TGLA345</it>). Evidence of inbreeding within the <it>Algarvia </it>group could be inferred from the F<sub>is </sub>estimate (0.083) which was significantly (<it>P </it>&lt; 0.001) greater than zero. The molecular coancestry of <it>Algarvia </it>animals (<it>f</it><sub>m </sub>= 0.322) was slightly higher than the overall value of 0.310. Pairwise population F<sub>st </sub>estimates showed that <it>Algarvia </it>animals are genetically closer to the Alentejana breed (F<sub>st </sub>= 0.045, <it>P &lt;</it>0.05) than to the other southern breeds (results not shown).</p>
         </sec>
         <sec>
            <st>
               <p>Y chromosome haplotypes of <it>Algarvia</it></p>
            </st>
            <p>Among the four <it>Algarvia </it>bulls, two (ALG3M and ALG4M) had the H11Y2 haplotype which is fixed in the Alentejana breed but also common in other Portuguese breeds, whereas the two other animals (ALG1M and ALG2M) had the H6Y2 haplotype which is fixed in the Garvonesa breed but also found in other Portuguese breeds as well as in Charolais and Limousin breeds <abbrgrp><abbr bid="B15">15</abbr></abbrgrp>.</p>
         </sec>
         <sec>
            <st>
               <p>mtDNA haplotypes of <it>Algarvia</it></p>
            </st>
            <p>Complete mtDNA control region sequences (909 bp) were obtained for the 33 <it>Algarvia </it>animals (four bulls and 29 females) assigned to this group with STRUCTURE (sequence quality of AG19 was low and thus was discarded). Sequence alignment is shown in Additional file <supplr sid="S6">6</supplr> Figure S4 with polymorphic positions represented. A total of 12 distinct haplotypes was identified [GenBank: <ext-link ext-link-id="G086285" ext-link-type="gen">G086285</ext-link>-<ext-link ext-link-id="G086317" ext-link-type="gen">G086317</ext-link>] based on 21 variable sites, of which 11 were phylogenetically informative, nine were singletons, and one was an <it>indel</it>. The European T3 haplogroup (T at nt16255) was the most frequent (29 animals) but the African-derived T1a type (T at nt16050, C at nt16113 and C at nt16255) was also detected in three <it>Algarvia </it>individuals (AG16, AG40 and AG43). Genetic diversity estimates in the <it>Algarvia </it>population were H = 0.81 &#177; 0.05, &#960; = 0.003 &#177; 0.002 and MNPD = 3.03 &#177; 1.62. Pairwise F<sub>st </sub>values showed that <it>Algarvia </it>is significantly differentiated from all breeds except from Garvonesa (F<sub>st </sub>= 0.028, <it>P </it>&gt; 0.05).</p>
            <suppl id="S6">
               <title>
                  <p>Additional file 6</p>
               </title>
               <text>
                  <p><b>Figure S4 </b>- Alignment between <it>Algarvia </it>mtDNA <it>D-loop </it>sequences and the taurine reference sequence [GenBank: <ext-link ext-link-id="V00654" ext-link-type="gen">V00654</ext-link>]. The European T3 haplogroup is defined by a C at position nt16255 (nt463 in this figure), whereas the African-derived T1a haplogroup is defined by a T and a C at positions nt16050 and 16113, respectively (nt258 and nt321)</p>
               </text>
               <file name="1297-9686-42-18-S6.PDF">
   <p>Click here for file</p>
</file>
            </suppl>
            <p>Haplotype relationships represented in the MJ-network (Figure <figr fid="F3">3</figr>) showed that the most common haplotype in the <it>Algarvia </it>population (11 animals, including males AG3M and AG4M) was shared with one Alentejana individual, whereas the second most frequent haplotype (10 animals) was shared with three Garvonesa, two Mertolenga and one Preta individuals. Two <it>Algarvia </it>animals (AG40 and AG43) and one Garvonesa shared a T1a haplotype. Interestingly, a T1a haplotype found in one <it>Algarvia </it>(AG16) and three Alentejana animals was substantially different from other haplotypes of this haplogroup. This haplotype has a C and an A at positions nt16122 and nt16196, respectively (nt330 and nt404 in Additional file <supplr sid="S6">6</supplr> Figure S4), which are characteristic of the African-derived AA mtDNA lineage described in Latin American Creole cattle and also found in Iberia <abbrgrp><abbr bid="B56">56</abbr></abbrgrp>. Although this haplotype lacks the C and T at positions nt16053 and nt16139, respectively (nt261 and nt347 in Additional file <supplr sid="S6">6</supplr> Figure S4), that also define AA, it can represent more ancestral Iberian mtDNA lineages [for a discussion see <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>].</p>
            <fig id="F3"><title><p>Figure 3</p></title><caption><p>MJ network of mtDNA haplotypes</p></caption><text>
   <p><b>MJ network of mtDNA haplotypes</b>. Breeds are colour-coded as follows: Alentejana (orange), <it>Algarvia </it>(red), Garvonesa (blue), Mertolenga (brown), Preta (green) and Limousin (black); circle sizes are proportional to haplotype frequencies; major haplogroups are indicated by coloured shadows: European T3 (red), African-derived T1a (orange) and ancestral Mediterranean Q (brown); mutated nt positions that differentiate haplogroups are also shown; theoretical median vectors are represented by grey dots</p>
</text><graphic file="1297-9686-42-18-3"/></fig>
         </sec>
         <sec>
            <st>
               <p>Conservation analysis</p>
            </st>
            <p>Contributions of each breed to the overall genetic diversity are shown in Table <tblr tid="T2">2</tblr>. Following the Weitzman approach, and based on population pairwise D<sub>A </sub>values, the between-breed influence on diversity (CB) varied from 3.90 (Arouquesa) to 10.23 (Brava de Lide). The within-breed diversity (CW) values varied from -0.62 (Brava de Lide) to 0.43 (Mertolenga). The F<sub>st </sub>value estimated across all breeds and used to calculate the aggregate genetic diversity (D1) was 0.089. Among autochthonous breeds, the lowest value for D1 was found in the Mirandesa breed (0.23) and the highest for the Preta breed (0.92). The influence of the <it>Algarvia </it>breed on the overall genetic diversity was intermediate across all estimates except for the allelic diversity-based (c<sub>i</sub>) calculation. <it>Algarvia </it>ranked within the six breeds that contributed most to CB (6.18), and showed a lower contribution to both CW (-0.06) and D1 (0.50). When the allelic diversity was considered, <it>Algarvia </it>and seven other autochthonous breeds made no contribution to the overall genetic diversity.</p>
            <tbl id="T2"><title><p>Table 2</p></title><caption><p>Breed contributions to overall genetic diversity</p></caption><tblbdy cols="5">
      <r>
         <c ca="left">
            <p>
               <b>Population</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>CB</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>CW</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>D1</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>c<sub>i</sub>, &#955; = <it>1</it></b>
            </p>
         </c>
      </r>
      <r>
         <c cspan="5">
            <hr/>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Alentejana</p>
         </c>
         <c ca="center">
            <p>4.62</p>
         </c>
         <c ca="center">
            <p>-0.17</p>
         </c>
         <c ca="center">
            <p>0.25</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>
               <b>
                  <it>Algarvia</it>
               </b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>6.18</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>-0.06</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>0.50</b>
            </p>
         </c>
         <c ca="center">
            <p>
               <b>0</b>
            </p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Arouquesa</p>
         </c>
         <c ca="center">
            <p>3.90</p>
         </c>
         <c ca="center">
            <p>0.29</p>
         </c>
         <c ca="center">
            <p>0.61</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Barros&#227;</p>
         </c>
         <c ca="center">
            <p>4.76</p>
         </c>
         <c ca="center">
            <p>-0.08</p>
         </c>
         <c ca="center">
            <p>0.35</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Brava de Lide</p>
         </c>
         <c ca="center">
            <p>10.23</p>
         </c>
         <c ca="center">
            <p>-0.62</p>
         </c>
         <c ca="center">
            <p>0.35</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Garvonesa</p>
         </c>
         <c ca="center">
            <p>8.32</p>
         </c>
         <c ca="center">
            <p>0.18</p>
         </c>
         <c ca="center">
            <p>0.91</p>
         </c>
         <c ca="center">
            <p>22.4</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Marinhoa</p>
         </c>
         <c ca="center">
            <p>5.13</p>
         </c>
         <c ca="center">
            <p>-0.09</p>
         </c>
         <c ca="center">
            <p>0.37</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Maronesa</p>
         </c>
         <c ca="center">
            <p>5.36</p>
         </c>
         <c ca="center">
            <p>0.12</p>
         </c>
         <c ca="center">
            <p>0.59</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Mertolenga</p>
         </c>
         <c ca="center">
            <p>5.17</p>
         </c>
         <c ca="center">
            <p>0.43</p>
         </c>
         <c ca="center">
            <p>0.85</p>
         </c>
         <c ca="center">
            <p>12.7</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Minhota</p>
         </c>
         <c ca="center">
            <p>4.98</p>
         </c>
         <c ca="center">
            <p>0.18</p>
         </c>
         <c ca="center">
            <p>0.61</p>
         </c>
         <c ca="center">
            <p>0</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Mirandesa</p>
         </c>
         <c ca="center">
            <p>8.91</p>
         </c>
         <c ca="center">
            <p>-0.61</p>
         </c>
         <c ca="center">
            <p>0.23</p>
         </c>
         <c ca="center">
            <p>12.2</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Preta</p>
         </c>
         <c ca="center">
            <p>8.60</p>
         </c>
         <c ca="center">
            <p>0.17</p>
         </c>
         <c ca="center">
            <p>0.92</p>
         </c>
         <c ca="center">
            <p>17.5</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Charolais</p>
         </c>
         <c ca="center">
            <p>5.64</p>
         </c>
         <c ca="center">
            <p>-0.11</p>
         </c>
         <c ca="center">
            <p>0.40</p>
         </c>
         <c ca="center">
            <p>5.6</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Friesian</p>
         </c>
         <c ca="center">
            <p>9.16</p>
         </c>
         <c ca="center">
            <p>0.16</p>
         </c>
         <c ca="center">
            <p>0.96</p>
         </c>
         <c ca="center">
            <p>24.4</p>
         </c>
      </r>
      <r>
         <c ca="left">
            <p>Limousin</p>
         </c>
         <c ca="center">
            <p>5.76</p>
         </c>
         <c ca="center">
            <p>0.20</p>
         </c>
         <c ca="center">
            <p>0.70</p>
         </c>
         <c ca="center">
            <p>5.2</p>
         </c>
      </r>
   </tblbdy><tblfn>
      <p><it>Algarvia </it>is represented by the 33 animals identified with STRUCTURE</p>
      <p>CB: Weitzman estimate of between-breed genetic diversity; CW: within-breed genetic diversity; D1: aggregate genetic diversity, 0.089*CB + 0.911*CW; ci: contribution of each breed to a pool of maximal genetic diversity <abbrgrp><abbr bid="B49">49</abbr></abbrgrp></p>
   </tblfn></tbl>
         </sec>
      </sec>
      <sec>
         <st>
            <p>Discussion</p>
         </st>
         <p>Decisions to initiate costly conservation programmes need to take into account assessment of extant variability and diversity loss, as well as cultural and economic aspects <abbrgrp><abbr bid="B57">57</abbr><abbr bid="B58">58</abbr><abbr bid="B59">59</abbr></abbrgrp>. <it>Algarvia </it>cattle were adapted to the climatic and geographical conditions of Algarve, a region that is highly susceptible to suffer from climate change <abbrgrp><abbr bid="B60">60</abbr></abbrgrp>. In addition to its cultural and historical relevance, reconstituting this breed could also contribute to reinforce sustainable agriculture, a non negligible component of the economic activity of the region. The use of molecular data to assess the genetic structure of domestic species in conservation programmes has been described <abbrgrp><abbr bid="B59">59</abbr><abbr bid="B61">61</abbr><abbr bid="B62">62</abbr><abbr bid="B63">63</abbr><abbr bid="B64">64</abbr><abbr bid="B65">65</abbr><abbr bid="B66">66</abbr><abbr bid="B67">67</abbr></abbrgrp>. Analysis of morphological and molecular information provides a more solid basis to define the characteristics of a breed than the use of morphological traits alone. DNA markers were not available at the time when the <it>Algarvia </it>breed became nearly extinct, and no biological samples have been preserved. Based on morphology descriptions <abbrgrp><abbr bid="B22">22</abbr></abbrgrp>, putative <it>Algarvia </it>descendants were identified <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. As preliminary work towards reconstituting this breed, we used molecular markers to investigate to which extent these animals could be distinguished from other Portuguese cattle. In agreement with their morphological classification <abbrgrp><abbr bid="B20">20</abbr><abbr bid="B23">23</abbr><abbr bid="B27">27</abbr><abbr bid="B68">68</abbr></abbrgrp>, genetic distances and factorial correspondence analyses showed a close relationship between <it>Algarvia </it>and other breeds of the Aquitanian (Red Convex) group. <it>Algarvia </it>and Garvonesa breeds are considered to be descendants of the Alentejana breed <abbrgrp><abbr bid="B23">23</abbr></abbrgrp>, and our study shows that <it>Algarvia </it>is closely related to these breeds. This genetic proximity probably also reflects recent admixture, because most of the <it>Algarvia </it>animals were found in herds predominantly composed of Alentejana animals. Genetic erosion due to crossbreeding is expected to have occurred since the breed began to decline about 35 years ago.</p>
         <p>We used assignment tests to determine whether a cluster of putative <it>Algarvia </it>animals could be distinguished from the related southern breeds and to identify potential candidates to reconstitute the breed. STRUCTURE results confirmed that the most probable partition of the data agreed with the number of populations tested. Although the <it>Algarvia </it>group was the last to emerge as an independent cluster, it was possible to identify 17 cows that belonged to this group with q values &gt; 0.95 without using prior information on populations. With prior information on sample origin, 33 animals (30 cows and three bulls) were classified as <it>Algarvia</it>. The partially Bayesian method of GENECLASS resulted in relatively low percentages of animals classified in each breed but, because of the high accuracy, it was useful to confirm reference animals in each population. Even though GENECLASS methods are conservative <abbrgrp><abbr bid="B55">55</abbr></abbrgrp>, the results were consistent with those of STRUCTURE with 23 animals assigned to <it>Algarvia </it>of which only two (AG34 and AG1M) were not among those selected by STRUCTURE.</p>
         <p>Based on their genotypes, three bulls (AG2M, AG3M and AG4M) identified as <it>Algarvia </it>can be used to reconstitute the breed. The remaining bull (AG1M) was possibly admixed with Alentejana, according to the STRUCTURE analysis, although with GENECLASS it was assigned to the source population but with a low probability. Overall, a certain amount of convergence of results from independent approaches is noted, since 19 of these animals (16 cows and three bulls) were also identified as belonging to the core group to reconstitute the <it>Algarvia </it>breed based on numerical taxonomy analyses of morphological characters <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. Admixture was detected in several <it>Algarvia </it>females, three of which (AG33, AG35 and AG41) did not represent descendants of this breed because they were misclassified. Based on morphology, these animals clustered within a group also containing Alentejana, Garvonesa and Mertolenga animals <abbrgrp><abbr bid="B27">27</abbr></abbrgrp>. The heterogeneous composition of the putative <it>Algarvia </it>population is reflected by the lower average genotype membership coefficients when compared to those of breeds having herdbook registries. This result was not surprising given the expected dilution of <it>Algarvia </it>through crossbreeding.</p>
         <p>The Y-haplotypes of the putative <it>Algarvia </it>bulls provided additional evidence of the genetic proximity with Alentejana and Garvonesa breeds, but did not exclude possible admixture with imported breeds such as Limousin or Charolais. mtDNA analysis corroborated the close genetic relationship between the core group of 33 <it>Algarvia </it>animals and the Garvonesa breed through their sharing of haplotypes. Common Iberian matrilines (European T3 and African T1a) were found in the <it>Algarvia </it>population, as well as a distinct haplotype (AG16) possibly related to the more ancestral African-derived AA haplogroup found in Creole cattle <abbrgrp><abbr bid="B50">50</abbr></abbrgrp>. The use of genotypic data, together with morphological analysis, facilitated the definition of a group of animals that could be used to reconstitute the <it>Algarvia </it>breed. How conservative the inclusion criteria should be relative to the acceptable degree of admixture will depend on breeding strategies yet to be defined.</p>
         <p>The genetic diversity of the core set of 33 <it>Algarvia </it>animals was slightly lower than that found across Portuguese breeds. A significant heterozygote deficit was detected, possibly due to inbreeding, which is consistent with the strong genetic erosion. These results were not unexpected considering the extremely reduced number of extant <it>Algarvia </it>descendants. Another possible explanation for HWE deviations could be the sampling of <it>Algarvia </it>animals from independent herds, which could generate population subdivision and an increased frequency of homozygotes (e.g. <it>Wahlund </it>effect).</p>
         <p>Gene diversity-based estimates indicate that the <it>Algarvia </it>population makes an intermediate contribution to the overall genetic diversity of Portuguese cattle. In contrast, the allelic diversity-based estimates suggest that the variation found in <it>Algarvia </it>is represented in the genetic pool of four other autochthonous breeds. The decision concerning which of these measures should be used in management programs to evaluate breed contributions to overall genetic diversity is not consensual <abbrgrp><abbr bid="B61">61</abbr></abbrgrp>. In the case of Portuguese autochthonous breeds that are considered endangered <abbrgrp><abbr bid="B4">4</abbr></abbrgrp>, particularly for the <it>Algarvia </it>breed, immediate conservation measures should aim at maximizing gene diversity rather than allelic diversity. This approach would maintain allelic diversity and guarantee a more effective response to selection while controlling inbreeding <abbrgrp><abbr bid="B61">61</abbr><abbr bid="B64">64</abbr></abbrgrp>.</p>
      </sec>
      <sec>
         <st>
            <p>Conclusion</p>
         </st>
         <p>Although nearly three decades have elapsed since the <it>Algarvia </it>breed was declared effectively extinct, we were able to identify a small group of cows and bulls with phenotypic characteristics of this breed. Analyses of autosomal, maternal and paternal markers have helped refine previous morphological findings to identify 33 animals that can be considered remnants from the <it>Algarvia </it>breed. For cultural and economic reasons, reconstituting the <it>Algarvia </it>breed is relevant to maintain the distinct regional identity of the Algarve. Molecular analyses have characterized the genetic diversity of the core set of animals which, together with information from conservation analyses, can be used to establish a management program to reconstitute the <it>Algarvia </it>breed.</p>
      </sec>
      <sec>
         <st>
            <p>Competing interests</p>
         </st>
         <p>The authors declare that they have no competing interests.</p>
      </sec>
      <sec>
         <st>
            <p>Authors' contributions</p>
         </st>
         <p>CG performed assays for Y-chromosome markers and mtDNA sequencing, designed and performed the statistical analyses, drafted and revised the manuscript. MCTP contributed to data analysis, critically reviewed and edited the manuscript. MFS participated in the design of the study and designed and carried out the sampling procedure and selection of the putative <it>Algarvia </it>animals. JM and CB contributed the genotype data for <it>Algarvia</it>, Garvonesa and Preta animals. DN organised blood preservation and carried out DNA extraction, isolation, purification and analyses. TRF contributed the genotype data for Portuguese autochthonous breeds. AC was the principal investigator who conceived and organized the project, reviewed and edited the manuscript. All authors read and approved the final manuscript.</p>
      </sec>
   </bdy>
   <bm>
      <ack>
         <sec>
            <st>
               <p>Acknowledgements</p>
            </st>
            <p>This research was supported by DGV - PIDDAC (Direc&#231;&#227;o Geral de Veterin&#225;ria - Programa de Investimentos e Despesas de Desenvolvimento da Administra&#231;&#227;o Central) and the Funda&#231;&#227;o para a Ci&#234;ncia e a Tecnologia. PRAXIX XXI contract N. 3/3.2/CA/2005/95. C. Ginja was supported by a PhD fellowship (SFRH/BD/13502/2003) from the Funda&#231;&#227;o para a Ci&#234;ncia e a Tecnologia. We thank Angel Del Valle from the Veterinary Genetics Laboratory, University of California, Davis for assistance with the mtDNA sequencing.</p>
         </sec>
      </ack>
      <refgrp><bibl id="B1"><title><p>World watch list for domestic animal diversity</p></title><aug><au><snm>Scherf</snm><fnm>BD</fnm></au></aug><source>Book World watch list for domestic animal diversity</source><publisher>Rome: Food and Agriculture Organisation of the United Nations</publisher><edition>3</edition><pubdate>2000</pubdate></bibl><bibl id="B2"><title><p>Measurement of Domestic Animal Diversity - A review of recent diversity studies</p></title><aug><au><cnm>FAO</cnm></au></aug><source>Book Measurement of Domestic Animal Diversity - A review of recent diversity studies</source><publisher>Rome: Food and Agriculture Organisation of the United Nations, Commission on Genetic Resources, Working Group on Animal Genetic Resources</publisher><edition>1</edition><pubdate>2004</pubdate><fpage>38</fpage></bibl><bibl id="B3"><title><p>Economic evaluation for conservation of farm animal genetic resources</p></title><aug><au><snm>Roosen</snm><fnm>J</fnm></au><au><snm>Fadlaoui</snm><fnm>A</fnm></au><au><snm>Bertaglia</snm><fnm>M</fnm></au></aug><source>J Anim Breed Genet</source><pubdate>2005</pubdate><volume>122</volume><fpage>217</fpage><lpage>228</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1439-0388.2005.00530.x</pubid><pubid idtype="pmpid">16060488</pubid></pubidlist></xrefbib></bibl><bibl id="B4"><title><p>Country Report on Farm Animal Genetic Resources</p></title><aug><au><snm>Gama</snm><fnm>LT</fnm></au><au><snm>Carolino</snm><fnm>N</fnm></au><au><snm>Costa</snm><fnm>MS</fnm></au><au><snm>Matos</snm><fnm>CP</fnm></au></aug><source>Book Country Report on Farm Animal Genetic Resources</source><publisher>Vale de Santar&#233;m: Food and Agriculture Organization of the United Nations</publisher><pubdate>2004</pubdate><fpage>68</fpage></bibl><bibl id="B5"><title><p>Recursos gen&#233;ticos animais e sistemas de explora&#231;&#227;o tradicionais em Portugal</p></title><aug><au><snm>Matos</snm><fnm>CAP</fnm></au></aug><source>Arch Zootec</source><pubdate>2000</pubdate><volume>49</volume><fpage>363</fpage><lpage>383</lpage></bibl><bibl id="B6"><title><p>Genetic variability and phylogenetic relationships between ten native cattle breeds from Galicia and the north of Portugal</p></title><aug><au><snm>Fern&#225;ndez</snm><fnm>A</fnm></au><au><snm>Viana</snm><fnm>JL</fnm></au><au><snm>Iglesias</snm><fnm>A</fnm></au><au><snm>Sanchez</snm><fnm>L</fnm></au></aug><source>Arch Zootec</source><pubdate>1998</pubdate><volume>47</volume><fpage>61</fpage><lpage>71</lpage></bibl><bibl id="B7"><title><p>Genetic characterization of southwestern European bovine breeds: a historical and biogeographical reassessment with a set of 16 microsatellites</p></title><aug><au><snm>Beja-Pereira</snm><fnm>A</fnm></au><au><snm>Alexandrino</snm><fnm>P</fnm></au><au><snm>Bessa</snm><fnm>I</fnm></au><au><snm>Carretero</snm><fnm>Y</fnm></au><au><snm>Dunner</snm><fnm>S</fnm></au><au><snm>Ferrand</snm><fnm>N</fnm></au><au><snm>Jordana</snm><fnm>J</fnm></au><au><snm>Laloe</snm><fnm>D</fnm></au><au><snm>Moazami-Goudarzi</snm><fnm>K</fnm></au><au><snm>Sanchez</snm><fnm>A</fnm></au><au><snm>Canon</snm><fnm>J</fnm></au></aug><source>J Hered</source><pubdate>2003</pubdate><volume>94</volume><fpage>243</fpage><lpage>250</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/jhered/esg055</pubid><pubid idtype="pmpid" link="fulltext">12816965</pubid></pubidlist></xrefbib></bibl><bibl id="B8"><title><p>Genetic diversity measures of local European beef cattle breeds for conservation purposes</p></title><aug><au><snm>Ca&#241;on</snm><fnm>J</fnm></au><au><snm>Alexandrino</snm><fnm>P</fnm></au><au><snm>Bessa</snm><fnm>I</fnm></au><au><snm>Carleos</snm><fnm>C</fnm></au><au><snm>Carretero</snm><fnm>Y</fnm></au><au><snm>Dunner</snm><fnm>S</fnm></au><au><snm>Ferrand</snm><fnm>N</fnm></au><au><snm>Garcia</snm><fnm>D</fnm></au><au><snm>Jordana</snm><fnm>J</fnm></au><au><snm>Lalo&#235;</snm><fnm>D</fnm></au><au><snm>Pereira</snm><fnm>A</fnm></au><au><snm>Sanchez</snm><fnm>A</fnm></au><au><snm>Moazami-Goudarzi</snm><fnm>K</fnm></au></aug><source>Genet Sel Evol</source><pubdate>2001</pubdate><volume>33</volume><fpage>311</fpage><lpage>332</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1186/1297-9686-33-3-311</pubid><pubid idtype="pmcid">2705410</pubid><pubid idtype="pmpid">11403750</pubid></pubidlist></xrefbib></bibl><bibl id="B9"><title><p>Microsatellite diversity suggests different histories for Mediterranean and Northern European cattle populations</p></title><aug><au><snm>Cymbron</snm><fnm>T</fnm></au><au><snm>Freeman</snm><fnm>AR</fnm></au><au><snm>Isabel Malheiro</snm><fnm>M</fnm></au><au><snm>Vigne</snm><fnm>JD</fnm></au><au><snm>Bradley</snm><fnm>DG</fnm></au></aug><source>Proc Biol Sci</source><pubdate>2005</pubdate><volume>272</volume><fpage>1837</fpage><lpage>1843</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1098/rspb.2005.3138</pubid><pubid idtype="pmcid">1559860</pubid><pubid idtype="pmpid" link="fulltext">16096097</pubid></pubidlist></xrefbib></bibl><bibl id="B10"><title><p>Identifica&#231;&#227;o de ra&#231;as bovinas Portuguesas atrav&#232;s da utiliza&#231;&#227;o de marcadores moleculares</p></title><aug><au><snm>Ginja</snm><fnm>C</fnm></au></aug><source>Universidade de Tr&#225;s-os-Montes e Alto Douro</source><pubdate>2002</pubdate></bibl><bibl id="B11"><title><p>Contributions of Portuguese cattle breeds to genetic diversity using marker-estimated kinships</p></title><aug><au><snm>Mateus</snm><fnm>JC</fnm></au><au><snm>Eding</snm><fnm>H</fnm></au><au><snm>Penedo</snm><fnm>MC</fnm></au><au><snm>Rangel-Figueiredo</snm><fnm>MT</fnm></au></aug><source>Anim Genet</source><pubdate>2004</pubdate><volume>35</volume><fpage>305</fpage><lpage>313</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2004.01168.x</pubid><pubid idtype="pmpid" link="fulltext">15265070</pubid></pubidlist></xrefbib></bibl><bibl id="B12"><title><p>Genetic diversity and differentiation in Portuguese cattle breeds using microsatellites</p></title><aug><au><snm>Mateus</snm><fnm>JC</fnm></au><au><snm>Penedo</snm><fnm>MC</fnm></au><au><snm>Alves</snm><fnm>VC</fnm></au><au><snm>Ramos</snm><fnm>M</fnm></au><au><snm>Rangel-Figueiredo</snm><fnm>T</fnm></au></aug><source>Anim Genet</source><pubdate>2004</pubdate><volume>35</volume><fpage>106</fpage><lpage>113</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2004.01089.x</pubid><pubid idtype="pmpid" link="fulltext">15025569</pubid></pubidlist></xrefbib></bibl><bibl id="B13"><title><p>Mitochondrial sequence variation suggests an African influence in Portuguese cattle</p></title><aug><au><snm>Cymbron</snm><fnm>T</fnm></au><au><snm>Loftus</snm><fnm>RT</fnm></au><au><snm>Malheiro</snm><fnm>MI</fnm></au><au><snm>Bradley</snm><fnm>DG</fnm></au></aug><source>Proc R Soc Lond B Biol Sci</source><pubdate>1999</pubdate><volume>266</volume><fpage>597</fpage><lpage>603</lpage><xrefbib><pubid idtype="doi">10.1098/rspb.1999.0678</pubid></xrefbib></bibl><bibl id="B14"><title><p>Origins and genetic diversity of New World Creole cattle: inferences from mitochondrial and Y chromosome polymorphisms</p></title><aug><au><snm>Ginja</snm><fnm>C</fnm></au><au><snm>Penedo</snm><fnm>MC</fnm></au><au><snm>Melucci</snm><fnm>L</fnm></au><au><snm>Quiroz</snm><fnm>J</fnm></au><au><snm>Martinez Lopez</snm><fnm>OR</fnm></au><au><snm>Revidatti</snm><fnm>MA</fnm></au><au><snm>Martinez-Martinez</snm><fnm>A</fnm></au><au><snm>Delgado</snm><fnm>JV</fnm></au><au><snm>Gama</snm><fnm>LT</fnm></au></aug><source>Anim Genet</source><pubdate>2010</pubdate><volume>41</volume><fpage>128</fpage><lpage>141</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2009.01976.x</pubid><pubid idtype="pmpid" link="fulltext">19817725</pubid></pubidlist></xrefbib></bibl><bibl id="B15"><title><p>Y chromosome haplotype analysis in Portuguese cattle breeds using SNPs and STRs</p></title><aug><au><snm>Ginja</snm><fnm>C</fnm></au><au><snm>Gama</snm><fnm>LT</fnm></au><au><snm>Penedo</snm><fnm>MCT</fnm></au></aug><source>J Hered</source><pubdate>2009</pubdate><volume>100</volume><fpage>148</fpage><lpage>157</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/jhered/esn080</pubid><pubid idtype="pmpid" link="fulltext">18832111</pubid></pubidlist></xrefbib></bibl><bibl id="B16"><title><p>Mitochondrial genomes of extinct aurochs survive in domestic cattle</p></title><aug><au><snm>Achilli</snm><fnm>A</fnm></au><au><snm>Olivieri</snm><fnm>A</fnm></au><au><snm>Pellecchia</snm><fnm>M</fnm></au><au><snm>Uboldi</snm><fnm>C</fnm></au><au><snm>Colli</snm><fnm>L</fnm></au><au><snm>Al-Zahery</snm><fnm>N</fnm></au><au><snm>Accetturo</snm><fnm>M</fnm></au><au><snm>Pala</snm><fnm>M</fnm></au><au><snm>Kashani</snm><fnm>BH</fnm></au><au><snm>Perego</snm><fnm>UA</fnm></au><au><snm>Battaglia</snm><fnm>V</fnm></au><au><snm>Fornarino</snm><fnm>S</fnm></au><au><snm>Kalamati</snm><fnm>J</fnm></au><au><snm>Houshmand</snm><fnm>M</fnm></au><au><snm>Negrini</snm><fnm>R</fnm></au><au><snm>Semino</snm><fnm>O</fnm></au><au><snm>Richards</snm><fnm>M</fnm></au><au><snm>Macaulay</snm><fnm>V</fnm></au><au><snm>Ferretti</snm><fnm>L</fnm></au><au><snm>Bandelt</snm><fnm>H-J</fnm></au><au><snm>Ajmone-Marsan</snm><fnm>P</fnm></au><au><snm>Torroni</snm><fnm>A</fnm></au></aug><source>Curr Biol</source><pubdate>2008</pubdate><volume>18</volume><fpage>157</fpage><lpage>158</lpage><xrefbib><pubid idtype="doi">10.1016/j.cub.2008.01.019</pubid></xrefbib></bibl><bibl id="B17"><title><p>Resposta ao Question&#225;rio dirigido aos propriet&#225;rios rurais e lavradores de todos os concelhos do reino</p></title><aug><au><snm>Baganha</snm><fnm>DA</fnm></au></aug><source>Book Resposta ao Question&#225;rio dirigido aos propriet&#225;rios rurais e lavradores de todos os concelhos do reino</source><pubdate>1868</pubdate></bibl><bibl id="B18"><title><p>As ra&#231;as bovinas em Portugal. Sua origem</p></title><aug><au><snm>Cordeiro</snm><fnm>JP</fnm></au></aug><source>OM&#233;dico Veterin&#225;rio</source><pubdate>1986</pubdate><fpage>29</fpage><lpage>39</lpage></bibl><bibl id="B19"><title><p>Os escritos de Silvestre Bernardo Lima. Bov&#237;deos e Su&#237;deos</p></title><aug><au><snm>Lima</snm><fnm>BS</fnm></au></aug><source>Boletim do Minist&#233;rio da Agricultura</source><pubdate>1919</pubdate><volume>I</volume><fpage>1</fpage><lpage>266</lpage></bibl><bibl id="B20"><title><p>Recenseamento Geral de Gados no Continente do Reino de Portugal em 1870</p></title><aug><au><snm>Lima</snm><fnm>S</fnm></au></aug><source>Lisboa: Imprensa Nacional</source><edition>1</edition><pubdate>1873</pubdate></bibl><bibl id="B21"><title><p>Les animaux agricoles</p></title><aug><au><snm>Nogueira</snm><fnm>JVP</fnm></au></aug><source>Le Portugal au Point de Vue Agricole</source><publisher>Lisbonne: Imprimerie Nationale</publisher><pubdate>1900</pubdate><fpage>310</fpage></bibl><bibl id="B22"><title><p>A ra&#231;a bovina Algarvia</p></title><aug><au><snm>Pereira</snm><fnm>MT</fnm></au></aug><source>Boletim Pecu&#225;rio da Direc&#231;&#227;o Geral dos Servi&#231;os Pecu&#225;rios</source><pubdate>1960</pubdate><volume>1</volume><fpage>137</fpage><lpage>189</lpage></bibl><bibl id="B23"><title><p>Bovinos</p></title><aug><au><snm>Vale</snm><fnm>JM</fnm></au></aug><source>Gado Bissulco:suinos bovinos, arietinos caprinos</source><publisher>Lisboa: Livraria S&#225; da Costa</publisher><pubdate>1949</pubdate><fpage>81</fpage><lpage>168</lpage></bibl><bibl id="B24"><title><p>Genus Bos: Cattle breeds of the world</p></title><aug><au><snm>Felius</snm><fnm>M</fnm></au></aug><source>New Jersey: Merck &amp; Co. Inc</source><edition>1</edition><pubdate>1985</pubdate></bibl><bibl id="B25"><title><p>Ra&#231;a bovina Algarvia. Inqu&#233;rito para a sua caracteriza&#231;&#227;o e seu sistema de explora&#231;&#227;o</p></title><aug><au><snm>Rosado</snm><fnm>J</fnm></au><au><snm>Almeida</snm><fnm>JM</fnm></au><au><snm>Gouveia</snm><fnm>JM</fnm></au><au><snm>Sobral</snm><fnm>M</fnm></au><au><snm>Lobo</snm><fnm>JMS</fnm></au></aug><source>Bovinos em Portugal</source><publisher>Lisboa: Direc&#231;&#227;o Geral dos Servi&#231;os Veterin&#225;rios</publisher><editor>Rodrigues A</editor><pubdate>1981</pubdate><fpage>217</fpage><lpage>222</lpage></bibl><bibl id="B26"><title><p>Classifica&#231;&#227;o e caracteriza&#231;&#227;o morfol&#243;gica de ra&#231;as bovinas aut&#243;ctones nacionais utilizando a taxonomia num&#233;rica</p></title><aug><au><snm>Sobral</snm><fnm>MF</fnm></au><au><snm>Cravador</snm><fnm>A</fnm></au><au><snm>Navas</snm><fnm>D</fnm></au><au><snm>Roberto</snm><fnm>C</fnm></au><au><snm>C</snm><fnm>R</fnm></au><au><snm>Lima</snm><fnm>MB</fnm></au></aug><source>Rev Port Zootec</source><pubdate>2001</pubdate><volume>2</volume><fpage>123</fpage><lpage>137</lpage></bibl><bibl id="B27"><title><p>Identification of descendants of an extinct bovine population from the Algarve region of Portugal using numerical taxonomy analysis of morphological traits</p></title><aug><au><snm>Sobral</snm><fnm>MF</fnm></au><au><snm>Roberto</snm><fnm>C</fnm></au><au><snm>Navas</snm><fnm>D</fnm></au><au><snm>Palmilha</snm><fnm>I</fnm></au><au><snm>Lima</snm><fnm>MB</fnm></au><au><snm>Cravador</snm><fnm>A</fnm></au></aug><source>J Anim Breed Genet</source><pubdate>2009</pubdate><volume>126</volume><fpage>319</fpage><lpage>326</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1439-0388.2008.00787.x</pubid><pubid idtype="pmpid" link="fulltext">19630883</pubid></pubidlist></xrefbib></bibl><bibl id="B28"><title><p>STRand Nucleic Acids Analysis Software</p></title><aug><au><snm>Hughes</snm><fnm>SS</fnm></au></aug><edition>1.2.90</edition><pubdate>2000</pubdate><xrefbib><pubid idtype="pmpid">11052354</pubid></xrefbib></bibl><bibl id="B29"><title><p>Contributions of Portuguese cattle breeds to genetic diversity using marker-estimated kinships</p></title><aug><au><snm>Mateus</snm><fnm>JC</fnm></au><au><snm>Eding</snm><fnm>H</fnm></au><au><snm>Penedo</snm><fnm>MC</fnm></au><au><snm>Rangel-Figueiredo</snm><fnm>MT</fnm></au></aug><source>Anim Genet</source><pubdate>2004</pubdate><volume>35</volume><fpage>305</fpage><lpage>313</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2004.01168.x</pubid><pubid idtype="pmpid" link="fulltext">15265070</pubid></pubidlist></xrefbib></bibl><bibl id="B30"><title><p>Genalex 6: genetic analysis in Excel. Population genetic software for teaching and research</p></title><aug><au><snm>Peakall</snm><fnm>R</fnm></au><au><snm>Smouse</snm><fnm>PE</fnm></au></aug><source>Mol Ecol Notes</source><pubdate>2006</pubdate><volume>6</volume><fpage>288</fpage><lpage>295</lpage><xrefbib><pubid idtype="doi">10.1111/j.1471-8286.2005.01155.x</pubid></xrefbib></bibl><bibl id="B31"><title><p>GENEPOP: population genetics software for exact tests and ecumenicism</p></title><aug><au><snm>Raymond</snm><fnm>M</fnm></au><au><snm>Rousset</snm><fnm>F</fnm></au></aug><source>J Hered</source><pubdate>1995</pubdate><volume>86</volume><fpage>248</fpage><lpage>249</lpage></bibl><bibl id="B32"><title><p>GENETIX: logiciel sous Windows TM pour la g&#233;n&#233;tique des populations</p></title><aug><au><snm>Belkhir</snm><fnm>K</fnm></au><au><snm>Borsa</snm><fnm>P</fnm></au><au><snm>Chikhi</snm><fnm>L</fnm></au><au><snm>Raufaste</snm><fnm>N</fnm></au><au><snm>Bonhomme</snm><fnm>F</fnm></au></aug><publisher>Laboratoire Genome Populations,Interactions CNRS, Universit&#233; de Montpellier II</publisher><edition>4.02</edition><fpage>1996</fpage><lpage>2004</lpage></bibl><bibl id="B33"><title><p>Analysis of gene diversity in subdivided populations</p></title><aug><au><snm>Nei</snm><fnm>M</fnm></au></aug><source>Proc Natl Acad Sci USA</source><pubdate>1973</pubdate><volume>70</volume><fpage>3321</fpage><lpage>3323</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1073/pnas.70.12.3321</pubid><pubid idtype="pmcid">427228</pubid><pubid idtype="pmpid">4519626</pubid></pubidlist></xrefbib></bibl><bibl id="B34"><title><p>Estimating F-statistics for the analysis of population structure</p></title><aug><au><snm>Weir</snm><fnm>BS</fnm></au><au><snm>Cockerham</snm><fnm>CC</fnm></au></aug><source>Evolution</source><pubdate>1984</pubdate><volume>38</volume><fpage>1358</fpage><lpage>1370</lpage><xrefbib><pubid idtype="doi">10.2307/2408641</pubid></xrefbib></bibl><bibl id="B35"><title><p>FSTAT a program to estimate and test gene diversities and fixation indices</p></title><aug><au><snm>Goudet</snm><fnm>J</fnm></au></aug><source>Updated from Goudet 1995</source><edition>2.9.3</edition><pubdate>2001</pubdate></bibl><bibl id="B36"><title><p>The neighbor-joining method: a new method for reconstructing phylogenetic trees</p></title><aug><au><snm>Saitou</snm><fnm>N</fnm></au><au><snm>Nei</snm><fnm>M</fnm></au></aug><source>Mol Biol Evol</source><pubdate>1987</pubdate><volume>4</volume><fpage>406</fpage><lpage>425</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">3447015</pubid></xrefbib></bibl><bibl id="B37"><title><p>Accuracy of estimated phylogenetic trees from molecular data</p></title><aug><au><snm>Nei</snm><fnm>M</fnm></au><au><snm>Tajima</snm><fnm>F</fnm></au><au><snm>Tateno</snm><fnm>Y</fnm></au></aug><source>J Mol Evol</source><pubdate>1983</pubdate><volume>19</volume><fpage>153</fpage><lpage>170</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1007/BF02300753</pubid><pubid idtype="pmpid">6571220</pubid></pubidlist></xrefbib></bibl><bibl id="B38"><title><p>POPULATIONS 1.2.28</p></title><aug><au><snm>Langella</snm><fnm>O</fnm></au></aug><source>CNRS UPR9034</source><pubdate>1999</pubdate></bibl><bibl id="B39"><title><p>TREEVIEW: an application to display phylogenetic trees on personal computers</p></title><aug><au><snm>Page</snm><fnm>RD</fnm></au></aug><source>Comput Appl Biosci</source><pubdate>1996</pubdate><volume>12</volume><fpage>357</fpage><lpage>358</lpage><xrefbib><pubid idtype="pmpid">8902363</pubid></xrefbib></bibl><bibl id="B40"><title><p>STRUCTURE software. Users Manual</p></title><aug><au><snm>Pritchard</snm><fnm>JK</fnm></au><au><snm>Wen</snm><fnm>W</fnm></au></aug><edition>2</edition><pubdate>2004</pubdate></bibl><bibl id="B41"><title><p>Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies</p></title><aug><au><snm>Falush</snm><fnm>D</fnm></au><au><snm>Stephens</snm><fnm>M</fnm></au><au><snm>Pritchard</snm><fnm>JK</fnm></au></aug><source>Genetics</source><pubdate>2003</pubdate><volume>164</volume><fpage>1567</fpage><lpage>1587</lpage><xrefbib><pubidlist><pubid idtype="pmcid">1462648</pubid><pubid idtype="pmpid">12930761</pubid></pubidlist></xrefbib></bibl><bibl id="B42"><title><p>Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study</p></title><aug><au><snm>Evanno</snm><fnm>G</fnm></au><au><snm>Regnaut</snm><fnm>S</fnm></au><au><snm>Goudet</snm><fnm>J</fnm></au></aug><source>Mol Ecol</source><pubdate>2005</pubdate><volume>14</volume><fpage>2611</fpage><lpage>2620</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-294X.2005.02553.x</pubid><pubid idtype="pmpid" link="fulltext">15969739</pubid></pubidlist></xrefbib></bibl><bibl id="B43"><title><p>GENECLASS2: a software for genetic assignment and first-generation migrant detection</p></title><aug><au><snm>Piry</snm><fnm>S</fnm></au><au><snm>Alapetite</snm><fnm>A</fnm></au><au><snm>Cornuet</snm><fnm>JM</fnm></au><au><snm>Paetkau</snm><fnm>D</fnm></au><au><snm>Baudouin</snm><fnm>L</fnm></au><au><snm>Estoup</snm><fnm>A</fnm></au></aug><source>J Hered</source><pubdate>2004</pubdate><volume>95</volume><fpage>536</fpage><lpage>539</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/jhered/esh074</pubid><pubid idtype="pmpid" link="fulltext">15475402</pubid></pubidlist></xrefbib></bibl><bibl id="B44"><title><p>Detecting immigration by using multilocus genotypes</p></title><aug><au><snm>Rannala</snm><fnm>B</fnm></au><au><snm>Mountain</snm><fnm>JL</fnm></au></aug><source>Proc Natl Acad Sci USA</source><pubdate>1997</pubdate><volume>94</volume><fpage>9197</fpage><lpage>9201</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1073/pnas.94.17.9197</pubid><pubid idtype="pmcid">23111</pubid><pubid idtype="pmpid" link="fulltext">9256459</pubid></pubidlist></xrefbib></bibl><bibl id="B45"><title><p>Genetic assignment methods for the direct real-time estimation of migration rate: a simulation-based exploration of accuracy and power</p></title><aug><au><snm>Paetkau</snm><fnm>D</fnm></au><au><snm>Slade</snm><fnm>R</fnm></au><au><snm>Burden</snm><fnm>M</fnm></au><au><snm>Estoup</snm><fnm>A</fnm></au></aug><source>Mol Ecol</source><pubdate>2004</pubdate><volume>13</volume><fpage>55</fpage><lpage>65</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1046/j.1365-294X.2004.02008.x</pubid><pubid idtype="pmpid" link="fulltext">14653788</pubid></pubidlist></xrefbib></bibl><bibl id="B46"><title><p>New methods employing multilocus genotypes to select or exclude populations as origins of individuals</p></title><aug><au><snm>Cornuet</snm><fnm>JM</fnm></au><au><snm>Piry</snm><fnm>S</fnm></au><au><snm>Luikart</snm><fnm>G</fnm></au><au><snm>Estoup</snm><fnm>A</fnm></au><au><snm>Solignac</snm><fnm>M</fnm></au></aug><source>Genetics</source><pubdate>1999</pubdate><volume>153</volume><fpage>1989</fpage><lpage>2000</lpage><xrefbib><pubidlist><pubid idtype="pmcid">1460843</pubid><pubid idtype="pmpid">10581301</pubid></pubidlist></xrefbib></bibl><bibl id="B47"><title><p>Aggregate diversity: new approach combining within- and between-breed genetic diversity</p></title><aug><au><snm>Ollivier</snm><fnm>L</fnm></au><au><snm>Foulley</snm><fnm>JL</fnm></au></aug><source>Livest Prod Sci</source><pubdate>2005</pubdate><volume>95</volume><fpage>247</fpage><lpage>254</lpage><xrefbib><pubid idtype="doi">10.1016/j.livprodsci.2005.01.005</pubid></xrefbib></bibl><bibl id="B48"><title><p>METAPOP - A software for the management and analysis of subdivided populations in conservation programs</p></title><aug><au><snm>Perez-Figueroa</snm><fnm>A</fnm></au><au><snm>Saura</snm><fnm>M</fnm></au><au><snm>Fern&#225;ndez</snm><fnm>J</fnm></au><au><snm>Toro</snm><fnm>MA</fnm></au><au><snm>Caballero</snm><fnm>A</fnm></au></aug><source>Conserv Genet</source><pubdate>2009</pubdate><volume>10</volume><fpage>1097</fpage><lpage>1099</lpage><xrefbib><pubid idtype="doi">10.1007/s10592-008-9718-7</pubid></xrefbib></bibl><bibl id="B49"><title><p>Analysis of genetic diversity for the management of conserved subdivided populations</p></title><aug><au><snm>Caballero</snm><fnm>A</fnm></au><au><snm>Toro</snm><fnm>MA</fnm></au></aug><source>Conserv Genet</source><pubdate>2002</pubdate><volume>3</volume><fpage>289</fpage><lpage>299</lpage><xrefbib><pubid idtype="doi">10.1023/A:1019956205473</pubid></xrefbib></bibl><bibl id="B50"><title><p>Origins and genetic diversity of New World Creole cattle: inferences from mitochondrial and Y chromosome polymorphisms</p></title><aug><au><snm>Ginja</snm><fnm>C</fnm></au><au><snm>Penedo</snm><fnm>MC</fnm></au><au><snm>Melucci</snm><fnm>L</fnm></au><au><snm>Quiroz</snm><fnm>J</fnm></au><au><snm>Matrinez Lopez</snm><fnm>OR</fnm></au><au><snm>Revidatti</snm><fnm>MA</fnm></au><au><snm>Martinez</snm><fnm>AM</fnm></au><au><snm>Delgado</snm><fnm>JV</fnm></au><au><snm>Gama</snm><fnm>L</fnm></au></aug><source>Anim Genet</source><pubdate>2010</pubdate><volume>41</volume><fpage>128</fpage><lpage>141</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2009.01976.x</pubid><pubid idtype="pmpid" link="fulltext">19817725</pubid></pubidlist></xrefbib></bibl><bibl id="B51"><title><p>Complete sequence of bovine mitochondrial DNA. Conserved features of the mammalian mitochondrial genome</p></title><aug><au><snm>Anderson</snm><fnm>S</fnm></au><au><snm>de Bruijn</snm><fnm>MH</fnm></au><au><snm>Coulson</snm><fnm>AR</fnm></au><au><snm>Eperon</snm><fnm>IC</fnm></au><au><snm>Sanger</snm><fnm>F</fnm></au><au><snm>Young</snm><fnm>IG</fnm></au></aug><source>J Mol Biol</source><pubdate>1982</pubdate><volume>156</volume><fpage>683</fpage><lpage>717</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1016/0022-2836(82)90137-1</pubid><pubid idtype="pmpid" link="fulltext">7120390</pubid></pubidlist></xrefbib></bibl><bibl id="B52"><title><p>Arlequin ver. 2.000: A software for population genetics data analysis</p></title><aug><au><snm>Schneider</snm><fnm>S</fnm></au><au><snm>Roessli</snm><fnm>D</fnm></au><au><snm>Excoffier</snm><fnm>L</fnm></au></aug><publisher>Genetics and Biometry Laboratory, University of Geneva</publisher><pubdate>2000</pubdate></bibl><bibl id="B53"><title><p>Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees</p></title><aug><au><snm>Tamura</snm><fnm>K</fnm></au><au><snm>Nei</snm><fnm>M</fnm></au></aug><source>Mol Biol Evol</source><pubdate>1993</pubdate><volume>10</volume><fpage>512</fpage><lpage>526</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">8336541</pubid></xrefbib></bibl><bibl id="B54"><title><p>Median-joining networks for inferring intraspecific phylogenies</p></title><aug><au><snm>Bandelt</snm><fnm>HJ</fnm></au><au><snm>Forster</snm><fnm>P</fnm></au><au><snm>Rohl</snm><fnm>A</fnm></au></aug><source>Mol Biol Evol</source><pubdate>1999</pubdate><volume>16</volume><fpage>37</fpage><lpage>48</lpage><xrefbib><pubid idtype="pmpid" link="fulltext">10331250</pubid></xrefbib></bibl><bibl id="B55"><title><p>Detecting wildlife poaching: Identifying the origin of individuals with Bayesian Assignment tests and multilocus genotypes</p></title><aug><au><snm>Manel</snm><fnm>S</fnm></au><au><snm>Berthier</snm><fnm>P</fnm></au><au><snm>Luikart</snm><fnm>G</fnm></au></aug><source>Conserv Biol</source><pubdate>2002</pubdate><volume>16</volume><fpage>650</fpage><lpage>659</lpage><xrefbib><pubid idtype="doi">10.1046/j.1523-1739.2002.00576.x</pubid></xrefbib></bibl><bibl id="B56"><title><p>Predominant African-derived mtDNA in Caribbean and Brazilian Creole cattle is also found in Spanish cattle (<it>Bos taurus</it>)</p></title><aug><au><snm>Miretti</snm><fnm>MM</fnm></au><au><snm>Dunner</snm><fnm>S</fnm></au><au><snm>Naves</snm><fnm>M</fnm></au><au><snm>Contel</snm><fnm>EP</fnm></au><au><snm>Ferro</snm><fnm>JA</fnm></au></aug><source>J Hered</source><pubdate>2004</pubdate><volume>95</volume><fpage>450</fpage><lpage>453</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1093/jhered/esh070</pubid><pubid idtype="pmpid" link="fulltext">15388773</pubid></pubidlist></xrefbib></bibl><bibl id="B57"><title><p>Conservation genetics of UK livestock: from molecules to management</p></title><aug><au><snm>Bruford</snm><fnm>MW</fnm></au></aug><source>Farm animal genetic resources</source><publisher>Nottingham: Nottingham University Press</publisher><editor>Simm G, Villanueva B, Townsend S</editor><pubdate>2004</pubdate><fpage>151</fpage><lpage>169</lpage></bibl><bibl id="B58"><title><p>Prioritization for conservation of northern European cattle breeds based on analysis of microsatellite data</p></title><aug><au><snm>Tapio</snm><fnm>I</fnm></au><au><snm>Varv</snm><fnm>S</fnm></au><au><snm>Bennewitz</snm><fnm>J</fnm></au><au><snm>Maleviciute</snm><fnm>J</fnm></au><au><snm>Fimland</snm><fnm>E</fnm></au><au><snm>Grislis</snm><fnm>Z</fnm></au><au><snm>Meuwissen</snm><fnm>TH</fnm></au><au><snm>Miceikiene</snm><fnm>I</fnm></au><au><snm>Olsaker</snm><fnm>I</fnm></au><au><snm>Viinalass</snm><fnm>H</fnm></au><au><snm>Vilkki</snm><fnm>J</fnm></au><au><snm>Kantanen</snm><fnm>J</fnm></au></aug><source>Conserv Biol</source><pubdate>2006</pubdate><volume>20</volume><fpage>1768</fpage><lpage>1779</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1523-1739.2006.00488.x</pubid><pubid idtype="pmpid" link="fulltext">17181812</pubid></pubidlist></xrefbib></bibl><bibl id="B59"><title><p>A novel method for the estimation of the relative importance of breeds in order to conserve the total genetic variance</p></title><aug><au><snm>Bennewitz</snm><fnm>J</fnm></au><au><snm>Meuwissen</snm><fnm>TH</fnm></au></aug><source>Genet Sel Evol</source><pubdate>2005</pubdate><volume>37</volume><fpage>315</fpage><lpage>337</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1186/1297-9686-37-4-315</pubid><pubid idtype="pmcid">2697237</pubid><pubid idtype="pmpid">15823238</pubid></pubidlist></xrefbib></bibl><bibl id="B60"><title><p>Heat stress intensification in the Mediterranean climate change hotspot</p></title><aug><au><snm>Diffenbaugh</snm><fnm>NS</fnm></au><au><snm>Pal</snm><fnm>JS</fnm></au><au><snm>Giorgi</snm><fnm>F</fnm></au><au><snm>Gao</snm><fnm>X</fnm></au></aug><source>Geophys Res Lett</source><pubdate>2007</pubdate><volume>34</volume><note>doi:10.1029/2007GL030000</note><xrefbib><pubid idtype="doi">10.1029/2007GL030000</pubid></xrefbib></bibl><bibl id="B61"><title><p>Management of genetic diversity of subdivided populations in conservation programmes</p></title><aug><au><snm>Caballero</snm><fnm>A</fnm></au><au><snm>Rodriguez-Ramilo</snm><fnm>ST</fnm></au><au><snm>Avila</snm><fnm>V</fnm></au><au><snm>Fernandez</snm><fnm>J</fnm></au></aug><source>Conserv Genet</source><pubdate>2010</pubdate><volume>11</volume><fpage>409</fpage><lpage>419</lpage><xrefbib><pubid idtype="doi">10.1007/s10592-009-0020-0</pubid></xrefbib></bibl><bibl id="B62"><title><p>Population genetic structure of and inbreeding in an insular cattle breed the Jersey and its implications for genetic resource management</p></title><aug><au><snm>Chikhi</snm><fnm>L</fnm></au><au><snm>Goossens</snm><fnm>B</fnm></au><au><snm>Treanor</snm><fnm>A</fnm></au><au><snm>Bruford</snm><fnm>MW</fnm></au></aug><source>Heredity</source><pubdate>2004</pubdate><volume>92</volume><fpage>396</fpage><lpage>401</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/sj.hdy.6800433</pubid><pubid idtype="pmpid" link="fulltext">15014423</pubid></pubidlist></xrefbib></bibl><bibl id="B63"><title><p>Prioritization for conservation of northern European cattle breeds based on analysis of microsatellite data</p></title><aug><au><snm>Tapio</snm><fnm>I</fnm></au><au><snm>Varv</snm><fnm>S</fnm></au><au><snm>Bennewitz</snm><fnm>J</fnm></au><au><snm>Maleviciute</snm><fnm>J</fnm></au><au><snm>Fimland</snm><fnm>E</fnm></au><au><snm>Grislis</snm><fnm>Z</fnm></au><au><snm>Meuwissen</snm><fnm>TH</fnm></au><au><snm>Miceikiene</snm><fnm>I</fnm></au><au><snm>Olsaker</snm><fnm>I</fnm></au><au><snm>Viinalass</snm><fnm>H</fnm></au><au><snm>Vilkki</snm><fnm>J</fnm></au><au><snm>Kantanen</snm><fnm>J</fnm></au></aug><source>Conserv Biol</source><pubdate>2006</pubdate><volume>20</volume><fpage>1768</fpage><lpage>1779</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1523-1739.2006.00488.x</pubid><pubid idtype="pmpid" link="fulltext">17181812</pubid></pubidlist></xrefbib></bibl><bibl id="B64"><title><p>Characterization and conservation of genetic diversity in subdivided populations</p></title><aug><au><snm>Toro</snm><fnm>MA</fnm></au><au><snm>Caballero</snm><fnm>A</fnm></au></aug><source>Philos Trans R Soc Lond B Biol Sci</source><pubdate>2005</pubdate><volume>360</volume><fpage>1367</fpage><lpage>1378</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1098/rstb.2005.1680</pubid><pubid idtype="pmcid">1569508</pubid><pubid idtype="pmpid" link="fulltext">16048780</pubid></pubidlist></xrefbib></bibl><bibl id="B65"><title><p>The population genetic effects of ancestry and admixture in a subdivided cattle breed</p></title><aug><au><snm>Bray</snm><fnm>TC</fnm></au><au><snm>Chikhi</snm><fnm>L</fnm></au><au><snm>Sheppy</snm><fnm>AJ</fnm></au><au><snm>Bruford</snm><fnm>MW</fnm></au></aug><source>Anim Genet</source><pubdate>2009</pubdate><volume>40</volume><fpage>393</fpage><lpage>400</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1365-2052.2009.01850.x</pubid><pubid idtype="pmpid" link="fulltext">19397525</pubid></pubidlist></xrefbib></bibl><bibl id="B66"><title><p>Analysis of genetic diversity and conservation priorities in Iberian pigs based on microsatellite markers</p></title><aug><au><snm>Fabuel</snm><fnm>E</fnm></au><au><snm>Barragan</snm><fnm>C</fnm></au><au><snm>Silio</snm><fnm>L</fnm></au><au><snm>Rodriguez</snm><fnm>MC</fnm></au><au><snm>Toro</snm><fnm>MA</fnm></au></aug><source>Heredity</source><pubdate>2004</pubdate><volume>93</volume><fpage>104</fpage><lpage>113</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1038/sj.hdy.6800488</pubid><pubid idtype="pmpid" link="fulltext">15150539</pubid></pubidlist></xrefbib></bibl><bibl id="B67"><title><p>Genetic and morphometric characterization of a local Vietnamese swamp buffalo population</p></title><aug><au><snm>Berthouly</snm><fnm>C</fnm></au><au><snm>Rognon</snm><fnm>X</fnm></au><au><snm>Nhu Van</snm><fnm>T</fnm></au><au><snm>Berthouly</snm><fnm>A</fnm></au><au><snm>Thanh Hoang</snm><fnm>H</fnm></au><au><snm>Bed'Hom</snm><fnm>B</fnm></au><au><snm>Laloe</snm><fnm>D</fnm></au><au><snm>Vu Chi</snm><fnm>C</fnm></au><au><snm>Verrier</snm><fnm>E</fnm></au><au><snm>Maillard</snm><fnm>JC</fnm></au></aug><source>J Anim Breed Genet</source><volume>127</volume><fpage>74</fpage><lpage>84</lpage><xrefbib><pubidlist><pubid idtype="doi">10.1111/j.1439-0388.2009.00806.x</pubid><pubid idtype="pmpid" link="fulltext">20074189</pubid></pubidlist></xrefbib></bibl><bibl id="B68"><title><p>Notas sobre Portugal - Industria Pecu&#225;ria</p></title><aug><au><snm>Tierno</snm><fnm>J</fnm></au></aug><source>Lisboa: Imprensa Nacional</source><edition>1</edition><pubdate>1908</pubdate></bibl></refgrp>
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