<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJAS</journal-id><journal-title-group><journal-title>Open Journal of Animal Sciences</journal-title></journal-title-group><issn pub-type="epub">2161-7597</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojas.2023.134039</article-id><article-id pub-id-type="publisher-id">OJAS-128653</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Prevalence of Tick Infestations and Tick-Borne Diseases in Cattle in Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hamidou</surname><given-names>Hayatou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fatima</surname><given-names>Ezzahra Amarir</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdelkbir</surname><given-names>Rhalem</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohammed</surname><given-names>Bouslikhane</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Julius</surname><given-names>Awah-Ndukum</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Félix</surname><given-names>Meutchieye</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Laboratory of Parasitology, Department of Pathology and Veterinary Public Health, Hassan II Agronomy and Veterinary Institute (IAV), Rabat, Morocco</addr-line></aff><aff id="aff4"><addr-line>Animal Physiology and Health Research Unit, Department of Animal Science, Faculty of Agriculture and Agricultural Sciences, University of Dschang, Dschang, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Laboratory of Microbiology, Epidemiology and Pathology of Animal Emerging and Re-Emerging Diseases Research Unit, Hassan II Agronomy and Veterinary Institute (IAV), Rabat, Morocco</addr-line></aff><aff id="aff1"><addr-line>Biotechnology and Bio-Informatics Research Unit, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>10</month><year>2023</year></pub-date><volume>13</volume><issue>04</issue><fpage>560</fpage><lpage>573</lpage><history><date date-type="received"><day>26,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>27,</day>	<month>October</month>	<year>2023</year>	</date><date date-type="accepted"><day>30,</day>	<month>October</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Ticks induce huge production and economic losses in 
  the 
  livestock industry and create serious environmental, animal and human health problems. The study was carried out to characterize tick species and determine the prevalence of tick infestation and tick-borne diseases in cattle in Cameroon. Tick and blood samples were collected from a total of 742 animals and analyzed to determine the type of tick and haemoparasites using standard procedures. Overall, four tick species namely Amblyomma variegatum (75.09%), Rhipicephalus microplus (19.43%), Rhipicephalus decoloratus (0.88%) and Hyalomma marginatum (0.18%) and six blood disease agents including Anapalasma marginale (11.29%), Ehrlichia ruminantium (3.52%), Babesia bovis (1.32%), Babesia major (0.44%), Anaplasma phagocytophilum (0.29%) and Dermatophilus congolensis (3.37%). Various co-infections were recorded and the predominant associations were Amblyomma variegatum-Rhipicephalus microplus (4.06%) and Amblyomma variegatum-Hyalomma marginatum (0.36%); Anaplasma-Ehrlichia (12%), Anaplasma-Dematophylus (8%), Babesia-Anaplasma-Ehrlichia (14%) and Babesia-Anaplasma-Ehrlichia-Dermato
  -
  phylus
   (5%). Breed, sex, age and locality significantly influenced the rate of tick infestation while locality, breed and age significantly influenced the detection of blood disease agents in the study.
 
</p></abstract><kwd-group><kwd>Prevalence</kwd><kwd> Tick</kwd><kwd> Blood Disease</kwd><kwd> Cattle</kwd><kwd> Cameroon</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The livestock sector accounts for over 40% of global agricultural production and contributes to the livelihoods and food security of nearly one billion people worldwide [<xref ref-type="bibr" rid="scirp.128653-ref1">1</xref>] . Livestock farming plays an important role in rural Africa [<xref ref-type="bibr" rid="scirp.128653-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref3">3</xref>] , and cattle are the main savings species for smallholders. Cattle are the fastest growing sector in the agricultural economy for income growth, infrastructure and technology [<xref ref-type="bibr" rid="scirp.128653-ref4">4</xref>] . The cattle population in Cameroon is estimated at 8,761,385 heads, and a meat beef production of 110,000 to 145,000 tons per year is equivalent to about 54% of meat products [<xref ref-type="bibr" rid="scirp.128653-ref5">5</xref>] .</p><p>Ticks and tick-borne diseases are major problems for human, animal and environmental health with enormous negative economic impacts and financial losses of more than $18.7 billion per year [<xref ref-type="bibr" rid="scirp.128653-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref7">7</xref>] on beef production. Ticks are vectors of zoonoses of major public health importance [<xref ref-type="bibr" rid="scirp.128653-ref8">8</xref>] while tick-borne animal piroplasmosis and cowdriosis are major pathological and economic constraints on livestock development in sub-Saharan Africa [<xref ref-type="bibr" rid="scirp.128653-ref9">9</xref>] .</p><p>Several control methods for ticks and tick-borne diseases (TBD) have been evaluated including the use of chemical products and acaricides against the vectors which pose a huge risk of drug resistance and pollution [<xref ref-type="bibr" rid="scirp.128653-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref13">13</xref>] . Though the high cost of tick and tick-borne disease prevents expansion in cattle production [<xref ref-type="bibr" rid="scirp.128653-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref15">15</xref>] , vaccination is an alternative control tool in regions where there are no cross-border movements of cattle. Endogenous methods for tick control [<xref ref-type="bibr" rid="scirp.128653-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref16">16</xref>] and other alternatives such as genetics geared towards using biological resistance mechanisms of certain species or breeds in livestock farming activities in tropical environments [<xref ref-type="bibr" rid="scirp.128653-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref18">18</xref>] have been described.</p><p>The direct and indirect impacts of tick infestations of cattle are numerous including decreased milk productivity and carcass yield, low growth rate, the transmission of pathogens (eg. hemoparasites), dermatitis which may become infected by bacteria, skin coat depreciation making it less marketable and increase the cost of production due to tick control [<xref ref-type="bibr" rid="scirp.128653-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref21">21</xref>] . In the central African subregion including Cameroon, attention has focused on infectious and contagious diseases of animals while has neglected vector borne diseases especially tick-borne diseases [<xref ref-type="bibr" rid="scirp.128653-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref23">23</xref>] .</p><p>Though there are increasing urban and peri-urban livestock production systems in most of Africa, there is a dearth of information on the level of awareness of cattle breeders on the hazards caused by ticks on husbandry systems and ectoparasite status of cattle in urban areas of Cameroon. In view of the medical and veterinary importance of ticks in the livestock sector, this study was carried out to determine the prevalence of tick infestation and ticks-borne diseases in cattle in Cameroon.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Location and Management of Animals</title><p>The study was carried out to determine the prevalence and intensity of tick infestation and haemoparasites in cattle within and around the SODEPA ranches (Livestock Development Corporation) in the Administrative Divisions of Faro &amp; Deo (Adamawa region), Lom &amp; Djerem (East region) in the Guinean high savannah agro-ecological zone and Donga-Mantung (North West region) in the western highland agro-ecological zone of Cameroon (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The geographical and animal husbandry situations of the study regions are presented in <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>The selection of cattle herds in the SODEPA Faro, Dumbo and Ndokayo ranches and those of willing local farmers in the environs of these SODEPA ranches during the study period, May to October 2021, was done using a random number generation technique from the list herds in the area [<xref ref-type="bibr" rid="scirp.128653-ref26">26</xref>] . Briefly, in each ranch, two large herds from among herds in the female camps to enable sufficient sampling of adult and young animals, and two herds from among herds in the adult male camps were included in the study. All individual animals in the chosen herds were sampled. Overall, tick and blood samples were collected from 742 cattle (409 Goudali and 333 Simgoud breeds; 337 males and 405 females; 90 young, 264 juveniles and 388 adults) corresponding to 268 cattle in Faro &amp; Deo, Adamawa, 186 cattle in Lom &amp; Djerem, East and 288 cattle in Donga-Mantung, North-West.</p><p>Following rigorous visual examination of tick on the preferred sites of the skin of the animals (anogenital, udder, perineum, abdomen, armpit and neck) [<xref ref-type="bibr" rid="scirp.128653-ref27">27</xref>] , all the ticks encountered on the animal’s body was harvested, by gently tapping at the rostrum and traction using a pair of forceps. The harvested ticks were stored in individual 5 ml labelled (identifying the sampled animal, anatomical region, and date of harvest) tubes containing 70% ethanol and 30% glycerol for analysis within 5 - 7 days in the parasitological laboratory of the Mission Sp&#233;ciale d’Eradication des Glossines (MSEG) in N’Gaound&#233;r&#233;. Systemic phenotypic identification of the tick species was done using a binocular microscope and guided by reference tick images as previously described [<xref ref-type="bibr" rid="scirp.128653-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref32">32</xref>] .</p><p>Blood samples (5 ml) from each animal were collected by jugular vein puncture into EDTA tubes for haematological analysis (Haematocrit value) and detection of haemoparasites using standard procedures. Haematocrits were determined to assess the degree of anaemia while blood smeared slides were stained with MAY-GR&#220;NWALD GIEMSA and observed under a light microscope at x100 magnification to detect the presence of haemoparasites.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Geographical characteristics of the study regions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Agro-ecological zone</th><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Surface area (km<sup>2</sup>)</th><th align="center" valign="middle" >Number of inhabitants</th><th align="center" valign="middle" >Climate</th><th align="center" valign="middle" >Average rainfall (mm)</th><th align="center" valign="middle" >Average altitude (m)</th><th align="center" valign="middle" >Cartesian coordinates</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Guinean high savannah</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >6761</td><td align="center" valign="middle" >441,716</td><td align="center" valign="middle" >Sudanian tropical</td><td align="center" valign="middle" >950</td><td align="center" valign="middle" >950</td><td align="center" valign="middle" >7˚05'06.00&quot;N 13˚12'10.80&quot;E</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >109,002</td><td align="center" valign="middle" >835,642</td><td align="center" valign="middle" >subtropical</td><td align="center" valign="middle" >1477</td><td align="center" valign="middle" >650</td><td align="center" valign="middle" >3˚31'0&quot;N 15˚3'0&quot;E</td></tr><tr><td align="center" valign="middle" >Western highlands</td><td align="center" valign="middle" >North west</td><td align="center" valign="middle" >17,812</td><td align="center" valign="middle" >1,840,500</td><td align="center" valign="middle" >savanna</td><td align="center" valign="middle" >916,6</td><td align="center" valign="middle" >1550</td><td align="center" valign="middle" >6˚26'02.40&quot;N 10˚24'00.00&quot;E</td></tr></tbody></table></table-wrap><p>Source: Djoufack, 2011 [<xref ref-type="bibr" rid="scirp.128653-ref24">24</xref>] .</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Animal husbandry features of the study regions</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Agro-ecological zone</th><th align="center" valign="middle" >Region</th><th align="center" valign="middle" >Type of farming</th><th align="center" valign="middle" >Cattle</th><th align="center" valign="middle" >sheep</th><th align="center" valign="middle" >Goats</th><th align="center" valign="middle" >Pigs</th><th align="center" valign="middle" >Poultry</th><th align="center" valign="middle" >Horse, donkey and camel</th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >Guinean high savannah</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >Agropastoral and ranching</td><td align="center" valign="middle" >1,388,755</td><td align="center" valign="middle" >106,486</td><td align="center" valign="middle" >87,441</td><td align="center" valign="middle" >2668</td><td align="center" valign="middle" >248,744</td><td align="center" valign="middle" >6608</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >Agropastoral and ranching</td><td align="center" valign="middle" >121,143</td><td align="center" valign="middle" >59,258</td><td align="center" valign="middle" >79,318</td><td align="center" valign="middle" >38,779</td><td align="center" valign="middle" >931,438</td><td align="center" valign="middle" >1925</td></tr><tr><td align="center" valign="middle" >Western highlands</td><td align="center" valign="middle" >North west</td><td align="center" valign="middle" >Agropastoral and ranching</td><td align="center" valign="middle" >467,817</td><td align="center" valign="middle" >240,712</td><td align="center" valign="middle" >368,190</td><td align="center" valign="middle" >201,917</td><td align="center" valign="middle" >756,414</td><td align="center" valign="middle" >23,247</td></tr></tbody></table></table-wrap><p>source: MINEPIA/DEPCS, 2020 [<xref ref-type="bibr" rid="scirp.128653-ref25">25</xref>] .</p><p>Information related to the breed, sex, age and body condition score of the sampled animals were noted. Estimation of ages was done by dental inspection and examination of the horn rings for animals without teeth (especially old/adult females) while the breed of the animals was obtained as previously described [<xref ref-type="bibr" rid="scirp.128653-ref33">33</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref35">35</xref>] . The body condition score was done by assessing the general appearance and palpation of the lumbar region of the animal on a scale of 1 to 5 and further classed into 3 categories: 1 - 2 (poor), 3 (good) and 4 - 5 (very good) as previously described [<xref ref-type="bibr" rid="scirp.128653-ref36">36</xref>] .</p></sec><sec id="s2_2"><title>2.2. Ethical Consideration</title><p>Risk assessments of the project were performed by the researchers to avoid hazards to all persons involved in the project. Permission for the study was obtained from the required authorities in Cameroon including the MINEPIA delegations in Adamawa, East and Northwest and North Regions, SODEPA Cameroon (SODEPA Faro, Dumbo and Ndokayo ranches) and the Faculty of Agronomy and Agricultural Sciences of the University of Dschang, Cameroon. The purpose of the study was explained (with the assistance of local community leaders and trusted intermediaries) to cattle professionals with herds in the environs of the SODEPA ranches used in this study. Animals and farms were used in the study after informed consent was given by the owners.</p></sec><sec id="s2_3"><title>2.3. Data Analysis</title><p>The data were analysed using SPSS 21.1 statistical software. Simple percentages were generated and Chi-square test was used to assess the association between factors and the odds-ratios determined for associated risk factors along 95% confidence intervals [<xref ref-type="bibr" rid="scirp.128653-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref37">37</xref>] . The statistical significance was set at P &lt; 0.05.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Prevalence of Tick Infestation in Cattle in Cameroon</title><p>In this study, of the 742 cattle sampled 566 (76.28%, 95% CI: 73.00 - 79.56) animals were infested with ticks. Locality, age, breed and sex had significant effects (P &lt; 0.05) on the prevalence of tick infestation in cattle in the study. Tick infestation was significantly higher in the Adamawa region (99.25%) than in the other 2 regions, in adult animals over 24 months of age (86.34%), in the Simgoud breed (79.87%) and in males (82.49%) (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Microscopic examination of ticks taken from the cattle sampled revealed the presence of three genera (4 species) of ticks, including Amblyomma variegatum (75.09%), Rhipicephalus microplus (19.43%), Rhipicephalus decoloratus (0.88%) and Hyalomma marginatum (0.18%). There are also associations of ticks on the same animal. This was the case for A. variegatum/R. microplus (4.06%) and A. variegatum/H. marginatum (0.36%) (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_2"><title>3.2. Prevalence of Tick-Borne Blood Diseases in Cattle in Cameroon</title><p>In this study, of the 742 cattle sampled 682 (91.91%, 95% CI) animals were infected with tick-borne blood diseases. Locality, age, and breed had significant effects (P &lt; 0.05) on the prevalence of tick-borne disease infection in cattle in the study while sex did not a significant effect (P &gt; 0.05). Tick-borne disease infections were significantly higher in the East region (97.31%) than in the other 2 regions, in juvenile animals between 7 to 24 months of age (93.94%) and in the Simgoud breed (93.69%) (<xref ref-type="table" rid="table5">Table 5</xref>).</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Prevalence and risk factor for tick infestation of cattle in Cameroon</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factors</th><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Number (positive)</th><th align="center" valign="middle" >Infestation rate % (95% CI)</th><th align="center" valign="middle" >CT</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Region</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >268 (266)</td><td align="center" valign="middle" >99.25</td><td align="center" valign="middle"  rowspan="3"  >*</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >186 (109)</td><td align="center" valign="middle" >58.60</td></tr><tr><td align="center" valign="middle" >Northwest</td><td align="center" valign="middle" >288 (191)</td><td align="center" valign="middle" >66.32</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age class (month)</td><td align="center" valign="middle" >[0 - 6]</td><td align="center" valign="middle" >90 (52)</td><td align="center" valign="middle" >57.78</td><td align="center" valign="middle"  rowspan="3"  >*</td></tr><tr><td align="center" valign="middle" >]7 - 24]</td><td align="center" valign="middle" >264 (179)</td><td align="center" valign="middle" >67.80</td></tr><tr><td align="center" valign="middle" >[24+[</td><td align="center" valign="middle" >388 (335)</td><td align="center" valign="middle" >86.34</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Breed</td><td align="center" valign="middle" >Goudali</td><td align="center" valign="middle" >409 (300)</td><td align="center" valign="middle" >73.35</td><td align="center" valign="middle"  rowspan="2"  >*</td></tr><tr><td align="center" valign="middle" >Simgoud</td><td align="center" valign="middle" >333 (266)</td><td align="center" valign="middle" >79.87</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >337 (278)</td><td align="center" valign="middle" >82.49</td><td align="center" valign="middle"  rowspan="2"  >*</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >405 (288)</td><td align="center" valign="middle" >71.11</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >742 (566)</td><td align="center" valign="middle" >76.28</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>CT: Contingency test, ns: non-significant, *: significant.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of tick infested cattle according to locality, breed, age and sex in Cameroon</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Factors</th><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  rowspan="2"  >Amblyomma variegatum</th><th align="center" valign="middle"  colspan="3"  >Rhipicephalus spp</th><th align="center" valign="middle"  rowspan="2"  >Hyalomma marginatum</th><th align="center" valign="middle"  rowspan="2"  >A.variegatum/ R. microplus</th><th align="center" valign="middle"  rowspan="2"  >A.variegatum/ H. marginatum</th><th align="center" valign="middle"  rowspan="2"  >Grand total number of infested cattle (%)</th></tr></thead><tr><td align="center" valign="middle" >Rhipicephalus microplus</td><td align="center" valign="middle" >Rhipicephalus decoloratus</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >425<sup>#</sup> (75.09)*</td><td align="center" valign="middle" >110 (19.43)</td><td align="center" valign="middle" >5 (0.88)</td><td align="center" valign="middle" >115 (20.31)</td><td align="center" valign="middle" >1 (0.18)</td><td align="center" valign="middle" >23 (4.06)</td><td align="center" valign="middle" >2 (0.36)</td><td align="center" valign="middle" >566 (100)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Region</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >253 (95.11)</td><td align="center" valign="middle" >1 (0.38)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >1 (0.38)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >11 (4.14)</td><td align="center" valign="middle" >1 (0.38)</td><td align="center" valign="middle" >266 (47)</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >108 (99.08)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >1 (0.92)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >109 (19.26)</td></tr><tr><td align="center" valign="middle" >Northwest</td><td align="center" valign="middle" >64 (33.51)</td><td align="center" valign="middle" >109 (57.07)</td><td align="center" valign="middle" >5 (2.62)</td><td align="center" valign="middle" >114 (59.69)</td><td align="center" valign="middle" >1 (0.52)</td><td align="center" valign="middle" >11 (5.76)</td><td align="center" valign="middle" >1 (0.52)</td><td align="center" valign="middle" >191 (33.75)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age class (month)</td><td align="center" valign="middle" >[0 - 6]</td><td align="center" valign="middle" >40 (76.92)</td><td align="center" valign="middle" >11 (21.15)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >11 (21.15)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >1 (1.92)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >52 (9.19)</td></tr><tr><td align="center" valign="middle" >]7 - 24]</td><td align="center" valign="middle" >131 (73.18)</td><td align="center" valign="middle" >44 (24.58)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >44 (24.58)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >4 (2.23)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >179 (31.63)</td></tr><tr><td align="center" valign="middle" >[24+[</td><td align="center" valign="middle" >254 (75.82)</td><td align="center" valign="middle" >55 (16.42)</td><td align="center" valign="middle" >5 (1.49)</td><td align="center" valign="middle" >60 (19.91)</td><td align="center" valign="middle" >1 (0.30)</td><td align="center" valign="middle" >18 (5.37)</td><td align="center" valign="middle" >2 (0.60)</td><td align="center" valign="middle" >335 (59.19)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Breed</td><td align="center" valign="middle" >Goudali</td><td align="center" valign="middle" >228 (76)</td><td align="center" valign="middle" >63 (21)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >63 (21)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >7 (2.33)</td><td align="center" valign="middle" >2 (0.67)</td><td align="center" valign="middle" >300 (53)</td></tr><tr><td align="center" valign="middle" >Simgoud</td><td align="center" valign="middle" >197 (74.06)</td><td align="center" valign="middle" >47 (17.67)</td><td align="center" valign="middle" >5 (1.88)</td><td align="center" valign="middle" >52 (19.55)</td><td align="center" valign="middle" >1 (0.38)</td><td align="center" valign="middle" >16 (6.02)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >266 (47)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >219 (78.78)</td><td align="center" valign="middle" >37 (13.31)</td><td align="center" valign="middle" >1 (0.36)</td><td align="center" valign="middle" >38 (13.67)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >19 (6.83)</td><td align="center" valign="middle" >2 (0.72)</td><td align="center" valign="middle" >278 (49.12)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >206 (71.53)</td><td align="center" valign="middle" >73 (25.35)</td><td align="center" valign="middle" >4 (1.39)</td><td align="center" valign="middle" >77 (26.74)</td><td align="center" valign="middle" >1 (0.35)</td><td align="center" valign="middle" >4 (1.39)</td><td align="center" valign="middle" >0 (0)</td><td align="center" valign="middle" >288 (50.88)</td></tr></tbody></table></table-wrap><p>#: number cattle infested by tick, *: proportion (%) of infested cattle.</p><p>Microscopic examination of blood smears taken from the cattle sampled revealed the presence of three genera (5 species) of tick-borne blood diseases, including Babesia bovis (1.32%), Babesia major (0.44%), Anaplasma marginale (11.29%), Anaplasma phagocytophylum (0.29%) and Ehrlichia ruminantium (3.52%). There are also many associations of tick-borne diseases on the same animal. This represents the vast majority of tick-borne blood diseases (79.77%). We also identified Dermatophilus congolensis (3.37%), which is not a tick-borne blood disease but is strongly associated with the presence of Amblyomma variegatum (<xref ref-type="table" rid="table6">Table 6</xref>).</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Prevalence and risk factor for tick-borne blood diseases infection of cattle in Cameroon</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factors</th><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Number (positive)</th><th align="center" valign="middle" >Infection rate % (95% CI)</th><th align="center" valign="middle" >CT</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Region</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >268 (228)</td><td align="center" valign="middle" >85.07</td><td align="center" valign="middle"  rowspan="3"  >*</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >186 (181)</td><td align="center" valign="middle" >97.31</td></tr><tr><td align="center" valign="middle" >Northwest</td><td align="center" valign="middle" >288 (273)</td><td align="center" valign="middle" >94.79</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age class (month)</td><td align="center" valign="middle" >[0 - 6]</td><td align="center" valign="middle" >90 (78)</td><td align="center" valign="middle" >86.67</td><td align="center" valign="middle"  rowspan="3"  >*</td></tr><tr><td align="center" valign="middle" >]7 - 24]</td><td align="center" valign="middle" >264 (248)</td><td align="center" valign="middle" >93.94</td></tr><tr><td align="center" valign="middle" >[24+[</td><td align="center" valign="middle" >388 (356)</td><td align="center" valign="middle" >91.75</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Breed</td><td align="center" valign="middle" >Goudali</td><td align="center" valign="middle" >409 (370)</td><td align="center" valign="middle" >90.46</td><td align="center" valign="middle"  rowspan="2"  >*</td></tr><tr><td align="center" valign="middle" >Simgoud</td><td align="center" valign="middle" >333 (312)</td><td align="center" valign="middle" >93.69</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >337 (311)</td><td align="center" valign="middle" >92.28</td><td align="center" valign="middle"  rowspan="2"  >ns</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >405 (371)</td><td align="center" valign="middle" >91.60</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >742 (682)</td><td align="center" valign="middle" >91.91</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>CT: Contingency test, ns: non-significant, *: significant.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Distribution of tick-borne blood diseases in cattle according to locality, breed, age and sex in Cameroon</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Factors</th><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="3"  >Babesia spp</th><th align="center" valign="middle"  colspan="3"  >Anaplasma spp</th><th align="center" valign="middle"  rowspan="2"  >Ehrlichia ruminantium</th><th align="center" valign="middle"  rowspan="2"  >Dermatophillus congolensis</th><th align="center" valign="middle"  rowspan="2"  >Polymorphism</th><th align="center" valign="middle"  rowspan="2"  >Grand total number of infested cattle (%)</th></tr></thead><tr><td align="center" valign="middle" >Babesia bovis</td><td align="center" valign="middle" >Babesia major</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >Anaplasma phagocytophylum</td><td align="center" valign="middle" >Anaplasma marginale</td><td align="center" valign="middle" >Total</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >9<sup>#</sup> (1.32)*</td><td align="center" valign="middle" >3 (0.44)</td><td align="center" valign="middle" >12 (1.76)</td><td align="center" valign="middle" >2 (0.29)</td><td align="center" valign="middle" >77 (11.29)</td><td align="center" valign="middle" >79 (11.58)</td><td align="center" valign="middle" >24 (3.52)</td><td align="center" valign="middle" >23 (3.37)</td><td align="center" valign="middle" >544 (79.77)</td><td align="center" valign="middle" >682 (100.00)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Region</td><td align="center" valign="middle" >Adamawa</td><td align="center" valign="middle" >9 (3.95)</td><td align="center" valign="middle" >2 (0.88)</td><td align="center" valign="middle" >11 (4.83)</td><td align="center" valign="middle" >2 (0.88)</td><td align="center" valign="middle" >15 (6.58)</td><td align="center" valign="middle" >17 (7.46)</td><td align="center" valign="middle" >8 (3.51)</td><td align="center" valign="middle" >18 (7.89)</td><td align="center" valign="middle" >174 (76.32)</td><td align="center" valign="middle" >228 (33.43)</td></tr><tr><td align="center" valign="middle" >East</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >15 (8.29)</td><td align="center" valign="middle" >15 (8.29)</td><td align="center" valign="middle" >4 (2.21)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >162 (89.50)</td><td align="center" valign="middle" >181 (26.54)</td></tr><tr><td align="center" valign="middle" >Northwest</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >1 (0.37)</td><td align="center" valign="middle" >1 (0.37)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >47 (17.22)</td><td align="center" valign="middle" >47 (17.22)</td><td align="center" valign="middle" >11 (4.03)</td><td align="center" valign="middle" >6 (2.20)</td><td align="center" valign="middle" >208 (76.19)</td><td align="center" valign="middle" >273 (40.03)</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Age class (month)</td><td align="center" valign="middle" >[0 - 6]</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >8 (10.26)</td><td align="center" valign="middle" >8 (10.26)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >2 (2.56)</td><td align="center" valign="middle" >68 (87.18)</td><td align="center" valign="middle" >78 (11.44)</td></tr><tr><td align="center" valign="middle" >]7 - 24]</td><td align="center" valign="middle" >1 (0.40)</td><td align="center" valign="middle" >2 (0.81)</td><td align="center" valign="middle" >3 (1.21)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >11 (4.44)</td><td align="center" valign="middle" >11 (4.44)</td><td align="center" valign="middle" >4 (1.61)</td><td align="center" valign="middle" >9 (3.63)</td><td align="center" valign="middle" >221 (89.11)</td><td align="center" valign="middle" >248 (36.36)</td></tr><tr><td align="center" valign="middle" >[24+[</td><td align="center" valign="middle" >8 (2.25)</td><td align="center" valign="middle" >1 (0.28)</td><td align="center" valign="middle" >9 (2.53)</td><td align="center" valign="middle" >2 (0.56)</td><td align="center" valign="middle" >58 (16.29)</td><td align="center" valign="middle" >60 (16.85)</td><td align="center" valign="middle" >19 (5.34)</td><td align="center" valign="middle" >13 (3.65)</td><td align="center" valign="middle" >255 (71.63)</td><td align="center" valign="middle" >356 (52.20)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Breed</td><td align="center" valign="middle" >Goudali</td><td align="center" valign="middle" >7 (1.89)</td><td align="center" valign="middle" >0 (0.00)</td><td align="center" valign="middle" >7 (1.89)</td><td align="center" valign="middle" >1 (0.27)</td><td align="center" valign="middle" >40 (10.81)</td><td align="center" valign="middle" >41 (11.08)</td><td align="center" valign="middle" >17 (4.59)</td><td align="center" valign="middle" >20 (5.41)</td><td align="center" valign="middle" >285 (77.03)</td><td align="center" valign="middle" >370 (54.25)</td></tr><tr><td align="center" valign="middle" >Simgoud</td><td align="center" valign="middle" >2 (0.64)</td><td align="center" valign="middle" >3 (0.96)</td><td align="center" valign="middle" >5 (1.6)</td><td align="center" valign="middle" >1 (0.32)</td><td align="center" valign="middle" >37 (11.86)</td><td align="center" valign="middle" >38 (12.18)</td><td align="center" valign="middle" >6 (1.92)</td><td align="center" valign="middle" >4 (1.28)</td><td align="center" valign="middle" >259 (83.01)</td><td align="center" valign="middle" >312 (45.75)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Male</td><td align="center" valign="middle" >3 (0.96)</td><td align="center" valign="middle" >2 (0.64)</td><td align="center" valign="middle" >5 (1.6)</td><td align="center" valign="middle" >1 (0.32)</td><td align="center" valign="middle" >36 (11.58)</td><td align="center" valign="middle" >37 (11.90)</td><td align="center" valign="middle" >10 (3.22)</td><td align="center" valign="middle" >13 (4.18)</td><td align="center" valign="middle" >246 (79.10)</td><td align="center" valign="middle" >311 (45.60)</td></tr><tr><td align="center" valign="middle" >Female</td><td align="center" valign="middle" >6 (1.62)</td><td align="center" valign="middle" >1 (0.27)</td><td align="center" valign="middle" >7 (1.89)</td><td align="center" valign="middle" >1 (0.27)</td><td align="center" valign="middle" >41 (11.05)</td><td align="center" valign="middle" >42 (11.32)</td><td align="center" valign="middle" >13 (3.50)</td><td align="center" valign="middle" >11 (2.96)</td><td align="center" valign="middle" >298 (80.32)</td><td align="center" valign="middle" >371 (54.40)</td></tr></tbody></table></table-wrap><p>#: number of cattle infected by haemoparasites, *: proportion (%) of infected cattle.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The prevalence of ticks and TBD has been widely documented in tropical environments. This aspect is addressed in several ways by various methods, namely blood sampling and germ detection or molecular analysis of the ticks themselves. The results obtained on prevalence as a function of locality significantly corroborate those of [<xref ref-type="bibr" rid="scirp.128653-ref38">38</xref>] , who argue that the prevalence of each tick species in its geographical distribution is conditioned by biomes and specific environmental conditions such as temperature. It is normal that, depending on the environmental conditions, there should be various adaptations of species.</p><sec id="s4_1"><title>4.1. Amblyomma variegatum</title><p>The results obtained from the frequency of this tick in the different regions of 75.09% show the abundance of this tick and are similar to those obtained from 46.3% to 73.8% [<xref ref-type="bibr" rid="scirp.128653-ref39">39</xref>] - [<xref ref-type="bibr" rid="scirp.128653-ref45">45</xref>] . These same authors found that it is practically the most widespread in several African countries. However, [<xref ref-type="bibr" rid="scirp.128653-ref46">46</xref>] found that the genus Rhipicephalus (80.60%) was more important than Amblyomma (19.31%). This tick thrives in the warmer regions of Africa. We note that it is less significant in the north-west, which is a mountainous area with low average annual temperatures compared with the other two regions.</p></sec><sec id="s4_2"><title>4.2. Rhipicephalus microplus</title><p>The results obtained for this tick are 19.43% overall. However, it is very prevalent in the North West region, where 57.07% of animals are infested with this species, in contrast to the other two regions, where it was only mentioned very rarely. This prevalence is not far from the results obtained by numerous authors in several countries, including Cameroon [<xref ref-type="bibr" rid="scirp.128653-ref41">41</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref43">43</xref>] , which vary from 15.6% to 24.11%. This confirms the presence of this highly invasive species in Cameroon [<xref ref-type="bibr" rid="scirp.128653-ref47">47</xref>] .</p></sec><sec id="s4_3"><title>4.3. Hyalomma marginatum</title><p>The results obtained from the presence of this tick, concentrated in the north-west with a very low prevalence of around 0.18%, are similar to those obtained from several studies which only mention its presence without mentioning a precise prevalence. These include [<xref ref-type="bibr" rid="scirp.128653-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref49">49</xref>] . However, other authors have given prevalence ranging from 1.8% to 13.8% [<xref ref-type="bibr" rid="scirp.128653-ref45">45</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref51">51</xref>] .</p></sec><sec id="s4_4"><title>4.4. Rhipicephalus decoloratus</title><p>The results we obtained (0.88%) were founded only in the north-west among adults. However, several studies have mentioned its presence (20.1% to 50.6%) in various regions of Africa [<xref ref-type="bibr" rid="scirp.128653-ref38">38</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref44">44</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.128653-ref53">53</xref>] . Our results are higher than obtained in north-west Cameroon (0.4%) by [<xref ref-type="bibr" rid="scirp.128653-ref39">39</xref>] .</p><p>The results obtained in the different regions mentioning the presence of babesiosis, anaplasmosis, richetsiosis and dermatophilosis are caused by several germs sometimes associated with each other on the same animal.</p></sec><sec id="s4_5"><title>4.5. Babesiosis</title><p>We encountered two germs, Babesia bovis (1.3%) and Babesia major (0.44%), especially in the East region. The results are not very far from those obtained in small ruminants (2.9%) in the Adamawa region [<xref ref-type="bibr" rid="scirp.128653-ref41">41</xref>] . This disease is usually mentioned in the records of the veterinary services in all regions where cattle are reared.</p></sec><sec id="s4_6"><title>4.6. Anaplasmosis</title><p>We encountered two germs, Anaplasma marginale (11.29%) and Anaplasma phagocytophilum (0.29%), respectively in the three regions for the former and only in Adamawa for the latter. The prevalence of Anaplasma marginale is similar to the results obtained for small ruminants (9.1%) in Adamawa [<xref ref-type="bibr" rid="scirp.128653-ref41">41</xref>] . This species is the most pathogenic of its genus [<xref ref-type="bibr" rid="scirp.128653-ref54">54</xref>] .</p></sec><sec id="s4_7"><title>4.7. Ehrlichia ruminantium</title><p>The results obtained for the prevalence of around 3.52% are different from those obtained in a study carried out in Benin using molecular analysis of ticks, which revealed the germ with an overall prevalence in ticks of 10.8% [<xref ref-type="bibr" rid="scirp.128653-ref49">49</xref>] and 28.4% [<xref ref-type="bibr" rid="scirp.128653-ref55">55</xref>] . This may be due to the different techniques used, as we worked on the animals and not on the ticks. In addition, there is a correlation between the presence of this germ and the environment.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>This study was carried out to determine the prevalence and intensity of tick infestation and haemoparasites in cattle within and around the SODEPA ranches in the Guinean high savannah agro-ecological zone and in the western highland agro-ecological zone of Cameroon reveals the presence of three ticks genus (4 species): Amlyomma variegatum, Rhipicephalus microplus, Hyalomma marginatum and Rhipicephalus decoloratus. The following tick-borne diseases were also identified: Babesia bovis, Babesia major, Anaplasma marginale, Anaplasma phagocytophylum and Ehrlichia ruminantium. We also identified Dermatophilus congolensis which is not a tick-borne disease but associated with Amblyomma presence. There is a significant dependence between the prevalence of ticks and locality, sex, breed and age. Similarly, there was a dependence on the prevalence of tick-borne diseases and locality, breed and age. On the other hand, there was no dependence between tick-borne diseases and the sex of the animal. The perspective of this study is to examine the implementation of a tick and haemoparasite control mechanism that is both animal welfare-friendly and environmentally friendly.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>HH conceptualised the study under the direction of FM, and he collected data and wrote the first draft of the manuscript. AFE contributed to the final manuscript. FM, RA, NAJ and BM supervised HH.</p></sec><sec id="s7"><title>Acknowledgements</title><p>The authors are grateful to the Agronomic and Veterinary Institute Hassan II and the University of Dschang for their institutional support. We also thank the staff of the Ministry of Livestock, Fisheries and Animal Industries for their administrative and technical support.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Hayatou, H., Meutchieye, F., Amarir, F.E., Rhalem, A., Bouslikhane, M. and Awah-Ndukum, J. (2023) Prevalence of Tick Infestations and Tick-Borne Diseases in Cattle in Cameroon. Open Journal of Animal Sciences, 13, 560-573. https://doi.org/10.4236/ojas.2023.134039</p></sec></body><back><ref-list><title>References</title><ref id="scirp.128653-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Chabi Toko, R. (2016) Place de l’&amp;#233levage bovin dans l’&amp;#233conomie rurale des Peuls du Nord B&amp;#233nin. 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