<?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.2023.133028</article-id><article-id pub-id-type="publisher-id">OJAS-126650</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>
 
 
  Socio-Economic and Technical Characteristics of Beef Cattle Breeding in Nd&#233; Division, West Region of Cameroon
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>David</surname><given-names>Fokom Wauffo</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>Geraud</surname><given-names>C. Tasse Taboue</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Brenda</surname><given-names>M. Tsana Nantia</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>Gina</surname><given-names>France Djoumessi Tobou</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>Elvis</surname><given-names>Ndukong Ndzi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdou</surname><given-names>S. Nsangou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mohamed</surname><given-names>M. F. Ndebé</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Brice</surname><given-names>H. T. Fokouong</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Frank</surname><given-names>D. K. Wouembe</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Suzy</surname><given-names>G. Tsoupou Kuete</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>Kingsley</surname><given-names>M. Tanyi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kingsley</surname><given-names>A. Etchu</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fernand</surname><given-names>Tendongkeng</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Multipurpose Research Station, Institute of Agricultural Research for Development, Bangangté, Cameroon</addr-line></aff><aff id="aff5"><addr-line>Institute of Agricultural Research for Development, Head Office, Yaoundé, Cameroon</addr-line></aff><aff id="aff2"><addr-line>Environment and Communities Care Front, Bafoussam, Cameroon</addr-line></aff><aff id="aff4"><addr-line>Specialized Research Station on Marine Ecosystems, Institute of Agricultural Research for Development, Kribi, Cameroon</addr-line></aff><aff id="aff3"><addr-line>Department of Animal Production, Faculty of Agronomy and Agricultural Sciences, University of Dschang, Dschang, Cameroon</addr-line></aff><pub-date pub-type="epub"><day>09</day><month>06</month><year>2023</year></pub-date><volume>13</volume><issue>03</issue><fpage>379</fpage><lpage>397</lpage><history><date date-type="received"><day>31,</day>	<month>May</month>	<year>2023</year></date><date date-type="rev-recd"><day>25,</day>	<month>July</month>	<year>2023</year>	</date><date date-type="accepted"><day>28,</day>	<month>July</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>
 
 
  Insight is here provided into the socio-economic and technical characteristics of cattle production in the Nd&#233;
   
  Division (West Cameroon region). Using a semi
  -
  structured questionnaire, information on the activity was assessed following onsite visits and interviewing breeders. Through a random sampling scheme, 110 breeders in the four subdivisions of the Nd&#233;
   
  Division were shadowed. The majority (98.18%) of breeders were men aged 20 to 40 and married (91.82%). They belong to the Mbororo ethnic group
  ,
   having cumulated more than 10 years in the activity. Most respondents (50.91%) did not attend school and earn their living mainly from livestock (78.18%). Cattle were raised for sale and to feed the breeder’s family (77.27%). The main mode of acquisition of animals was through inheritance (81.82%). The cattle breeds were mostly made up of white Fulani (70%), living in private farms using a combination of stake and barbed wires (67.27%) as fence
  s
  . The combination of natural 
  fodder and cooking salt was used by most breeders (59.09%) as a daily
   ration. 
  Reproduction was by natural mating (97.07%). Parasites (internal and
   external) and foot-and-mouth disease were the main diseases reported by the majority of farmers. Self-treatment (50%) was the main prophylactic measure taken by farmers in case of disease symptoms. Cattle herders faced several challenges
  ,
   such as insufficient pasture (67.27%), agro-pastoral conflicts (76.36%) and diseases (90.91%). Cattle breeding was rather a widespread activity with no particular restriction.
 
</p></abstract><kwd-group><kwd>Cattle Breeding</kwd><kwd> Socio-Economic</kwd><kwd> Breeding</kwd><kwd> Technical Characteristics</kwd><kwd> Constraints</kwd><kwd> Cameroon</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The world population is increasing at an alarming rate, with a projection of a 30% increase by the year 2050 [<xref ref-type="bibr" rid="scirp.126650-ref1">1</xref>] . This continued growth has been explained by several factors, including high fertility, low mortality, and economic and technological development [<xref ref-type="bibr" rid="scirp.126650-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref3">3</xref>] . The constantly increasing world population is to face adequate provision of food and water. African countries are scoring the highest percentage of growth per year (2.5% to 3%) and about 239.1 million people located in Sub-Saharan countries are subject to inadequate protein supply and more specifically, animal proteins [<xref ref-type="bibr" rid="scirp.126650-ref4">4</xref>] . Dietary protein intake, mainly meat and milk, is estimated at 1 to 1.6 g per kg body weight for people with limited to high physical activity [<xref ref-type="bibr" rid="scirp.126650-ref5">5</xref>] . Livestock and agriculture represent major assets in maintaining food security around. Although Africa possesses 16.7% of the worldwide cattle herd, the production there remains low, with a milking potential that hardly reaches 5% of worldwide burdens [<xref ref-type="bibr" rid="scirp.126650-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref7">7</xref>] . This setting remains fragile mainly because of the ongoing world food crisis exacerbated by ongoing wars. Armed conflicts, such as the one involving Russia and Ukraine, have the potential to reduce the capacity of nations, households and individuals to feed themselves appropriately [<xref ref-type="bibr" rid="scirp.126650-ref8">8</xref>] .</p><p>In Cameroon, livestock production remains an important part of the economy, contributing about 125 billion XAF to the Gross Domestic Product [<xref ref-type="bibr" rid="scirp.126650-ref9">9</xref>] . Cameroon is home to important animal genetic resources composed of cattle (9,857,361 heads), small ruminants (10,895,621 heads), poultry (53,630,641 subjects), pigs (3,936,636 subjects), etc. [<xref ref-type="bibr" rid="scirp.126650-ref10">10</xref>] . Among these speculations, cattle (particularly Zebus of the Goudali and M’bororo breeds) are the main providers of animal products, particularly milk and meat. Due to its many advantages (source of animal protein, source of income, etc.), cattle breeding is, therefore, an important means of rapidly increasing meat production in Cameroon [<xref ref-type="bibr" rid="scirp.126650-ref11">11</xref>] . Cattle contribute 54% of all meat products produced locally and consumed by the population. Cattle breeding provides annually 110,000 tons of meat and 174,000 tons of milk entirely consumed locally [<xref ref-type="bibr" rid="scirp.126650-ref11">11</xref>] : in 2015, the Cameroonian Ministry in Charge of Livestock and Animal Husbandry (MINEPIA) reported that the annual demand for milk in Cameroon was estimated at 297,000 tons. This demand is still to be met because of low productivity (both from meat and milk) from local breeds compared to exotic breeds [<xref ref-type="bibr" rid="scirp.126650-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref13">13</xref>] . To improve meat/milk production and consumption, there are several factors influencing productivity to be checked. These factors are mainly social, economic, zootechnical, sanitary, climatic and nutritional [<xref ref-type="bibr" rid="scirp.126650-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref15">15</xref>] . To improve cattle herd productivity in Cameroon, studies have focused on the socio-economic and technical characterization of cattle breeding in some Cameroonian Divisions [<xref ref-type="bibr" rid="scirp.126650-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref19">19</xref>] . However, such information is still missing from several hotspots of production. More quantitative data on the socio-economic surrounding cattle breeding is still lagging in enabling planning for effective management of this resource.</p><p>In this study, the profile of herders involved in the daily follow-up of cattle herds is presented in the Nd&#233; Division, known as a hotspot of production in the West Region. The socioeconomic background of people involved in the cattle breeding activity is assessed, including the constraints associated with this activity.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Site</title><p>This study was conducted between January and June 2022 in the Nd&#233; Division in Cameroon (<xref ref-type="fig" rid="fig1"><xref ref-type="fig" rid="fig">Figure </xref>1</xref>). Nd&#233; is located between 10˚21' and 10˚51' East longitude and 4˚52' and 5˚16' North latitude with a population of more than 200,000 inhabitants 19. It covers an area of approximately 1524 km<sup>2</sup> with a tropical climate of type. The average annual temperature is 20.4˚C and rainfall of about 1950 mm per year [<xref ref-type="bibr" rid="scirp.126650-ref20">20</xref>] . The Municipality of Bangangt&#233; concentrates more than half of the population of the Division and extends over an area of approximately 800 km<sup>2</sup>. The Nd&#233; Division has a total of four subdivisions (Bangangt&#233;, Bazou, Tonga and Bassamba) [<xref ref-type="bibr" rid="scirp.126650-ref21">21</xref>] .</p></sec><sec id="s2_2"><title>2.2. Data Collection</title><p>Data collection was done through a semi-structured questionnaire. The questionnaire was mounted in French and was administered in French and/or local language with the help of an interpreter whenever necessary. Topics covered in the questionnaire included relevant information on socio-economic information of respondents, associated farming techniques and constraints.</p><p>Respondents were reached through representative following an introductory meeting involving local authorities as divisional delegate and the district delegates of Livestock, Fisheries and Animal Industries of the study area. The identification of breeding areas and access to herder communities were approved by their representative following presentation of research credentials. Seventeen farmers randomly selected within the study division tested the clarity, reliability and validity of the questionnaire. Farmers were briefed on the main objective of the work and their consents obtained before administration of the questionnaire. A total of 110 farmers in four districts of the Division representing 70% of the number of cattle breeders in this locality were surveyed based on the random number generation technique selected from a list of breeders obtained at the Delegations of Livestock, Fisheries and Animal Industries (DREPIA) of Nd&#233; division and completed by private field farmers.</p></sec><sec id="s2_3"><title>2.3. Data Processing and Statistical Analysis</title><p>Following the survey, each questionnaire was assigned a unique code then entered into a database using the KoboCollect tool. The data base was subjected to descriptive statistics to describe the socioeconomic characteristics of the breeders, the technical characteristics of the farms and the constraints of breeding. The Chi-square test was used to test the independence between the qualitative variables at the 5% threshold. Multiple Correspondence Analysis was run to establish the typology of breeders and cattle farms. Statistical analysis was performed using the statistical program R v. 4.1.3 [<xref ref-type="bibr" rid="scirp.126650-ref22">22</xref>] .</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><sec id="s3_1"><title>3.1. Social Characteristics of Breeders</title><p>Localities surveyed contributed unequally to the collection of data (<xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref>). The highest proportion (92.73%) of breeders came from the locality of Bangangt&#233;, followed by the localities of Bazou and Tonga with 2.73% of breeders and finally the locality of Bassamba which contributed 1.82% of breeders (χ<sup>2</sup> = 269.13; p &lt; 0.001). The high number of breeders present in this district would be due to a large area and the fodder routes favorable to cattle breeding compared to the other districts. Cattle breeding was mainly practiced by men (98.18%; χ<sup>2</sup> =102.15; p &lt; 0.001), whose ages ranged between 20 and 40 years old. The male gender and the Mbororo ethnic group appeared to be the categories of people most involved in cattle breeding. These results are similar to those of [<xref ref-type="bibr" rid="scirp.126650-ref16">16</xref>] where the majority of breeders surveyed in the Noun division were men (98.1%) and</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1"><xref ref-type="table" rid="table">Table </xref>1</xref></label><caption><title> Social characteristics of cattle breeders (n = 110) in the Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Social Characteristics of Cattle Breeders</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Subdivisions</td><td align="center" valign="middle" >Bangangte</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >92.73</td><td align="center" valign="middle"  rowspan="4"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Bassamba</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.82</td></tr><tr><td align="center" valign="middle" >Bazou</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.73</td></tr><tr><td align="center" valign="middle" >Tonga</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.73</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >98.18</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Females</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.82</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Ages</td><td align="center" valign="middle" >20 - 40</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >51.81</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >41 - 60</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >39.09</td></tr><tr><td align="center" valign="middle" >60+</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.09</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Ethnic</td><td align="center" valign="middle" >Mbororo</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >68.18</td><td align="center" valign="middle"  rowspan="6"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Foulb&#233;</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >24.55</td></tr><tr><td align="center" valign="middle" >Haoussa</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.73</td></tr><tr><td align="center" valign="middle" >Bamoun</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.82</td></tr><tr><td align="center" valign="middle" >Bamil&#233;k&#233;</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.82</td></tr><tr><td align="center" valign="middle" >Kapiski</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Marital Status</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >101</td><td align="center" valign="middle" >91.82</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.55</td></tr><tr><td align="center" valign="middle" >Widow</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.64</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Level of Education</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >50.91</td><td align="center" valign="middle"  rowspan="5"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Koranic</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >29.09</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.18</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.18</td></tr><tr><td align="center" valign="middle" >Higher</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.64</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Religion</td><td align="center" valign="middle" >Muslim</td><td align="center" valign="middle" >102</td><td align="center" valign="middle" >92.73</td><td align="center" valign="middle"  rowspan="2"  >p&lt; 0.001</td></tr><tr><td align="center" valign="middle" >Christian</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.27</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Years of Experience</td><td align="center" valign="middle" >4 - 6 Years</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.91</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >7 - 9 Years</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle" >10+</td><td align="center" valign="middle" >108</td><td align="center" valign="middle" >98.18</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Principal Activity</td><td align="center" valign="middle" >Breeder</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >78.18</td><td align="center" valign="middle"  rowspan="4"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Agro-Breeder</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >11.82</td></tr><tr><td align="center" valign="middle" >Businessman</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >7.27</td></tr><tr><td align="center" valign="middle" >Civil Servant</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.73</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant.</p><p>that most (69.8%) of the breeders were Mbororos. Indeed, the dominance of men in cattle herding are mainly because they are breadwinners in these communities and take responsibility for managing the herds to meet the subsistence needs of the family [<xref ref-type="bibr" rid="scirp.126650-ref18">18</xref>] . The 20 to 40-year-old group presented a representative weight, suggesting that breeding is carried out by adults, but the practice is diluted at older ages (60 years and over). The influence of the age pyramid is another element of explanation. A similar observation was made by [<xref ref-type="bibr" rid="scirp.126650-ref23">23</xref>] in North Cameroon where 60% of herders were under 35 years old.</p><p>The largest number of herders (68.18%) was the Mbororos followed by Foulb&#233;s (24.55%), Haoussa (2.73%), Bamoun (1.82%), Bamil&#233;k&#233;s (1.82%) and Kapiski (0.91%) (χ<sup>2</sup> = 290.51; p &lt; 0.001). The breeders were mostly married (91.82%; χ<sup>2</sup> = 169.33: p &lt; 0.001), reflecting the frequent practice of this activity by adults. Most of the breeders (50.91%) had no educational level, followed by those who had completed vocational studies (29.09%), then by those with a primary and secondary level (8.18%) and finally those with a higher degree (3.64%). This high rate of illiteracy could be explained by the constant movement associated with most livestock herders even during the schooling period of the year. The Koranic literacy rate of 29.09% testifies that a large part of cattle breeders are Muslims (92.73%) and learn Koranic reading from an early age while giving little importance to Western schooling. According to the study carried out by [<xref ref-type="bibr" rid="scirp.126650-ref24">24</xref>] on cattle breeders in Menoua, the proportion of illiterate breeders was 81.2%. On the other hand, those carried out by [<xref ref-type="bibr" rid="scirp.126650-ref11">11</xref>] in the North-West and by [<xref ref-type="bibr" rid="scirp.126650-ref16">16</xref>] in Noun observed that the proportion of literate herders was 71.2% and 81.2% respectively. The majority of cattle breeders carry out this breeding as their main activity. They assume that this livestock sector could be a fairly profitable activity for breeders to the point that they no longer need to resort to other activities in parallel. The dominance of paid labor would be due to cattle farming requiring a lot of space and time to drive the animals. Breeders may need paid labor in the event of other occupations or old age. Thus, a survey carried out in the municipality of Kalal&#233; in Benin revealed that the majority of breeders sought foreign labor in order to better manage their herds [<xref ref-type="bibr" rid="scirp.126650-ref25">25</xref>] . A large number of breeders surveyed obtained their animals by inheritance. This result can be explained by cattle breeding being a traditional profession among breeders and the animals are transmitted from father to son.</p></sec><sec id="s3_2"><title>3.2. Economic Characteristics of Breeders</title><p>This study shows that 77.27% of respondents raised cattle for self-consumption and sale (χ<sup>2</sup> = 102.78; p &lt; 0.001) (<xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref>). With regards to labor, 50% of livestock keepers had paid labor, 25% of them had paid family labor while the remaining 25% had exclusively family workers. (χ<sup>2</sup> = 13.5; p &lt; 0.001). The study revealed that the majority of breeders (93.63%; χ<sup>2</sup> = 276.55; p &lt; 0.001) used their own funds as a source of finance. Animals were mostly sold from the farm (62.72% χ<sup>2</sup> = 131.55; p &lt; 0.001) and merchants (butchers) were the main customers (46.36%).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2"><xref ref-type="table" rid="table">Table </xref>2</xref></label><caption><title> Economic characteristics of cattle breeders (n = 110) in the Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Economic Characteristics of Cattle Breeder</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Objective for Keeping Animals</td><td align="center" valign="middle" >Commercialization</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >21.82</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Auto Consumption/ Commercialization</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >77.27</td></tr><tr><td align="center" valign="middle" >Leisure</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Laborers</td><td align="center" valign="middle" >Paid</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >50</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Paid and Family</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >Family</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Mode of Acquisition of Animals</td><td align="center" valign="middle" >Bought</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >50</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Inheritance</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >81.82</td></tr><tr><td align="center" valign="middle" >Gift</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >4.55</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Source of Funding</td><td align="center" valign="middle" >Personal Funds</td><td align="center" valign="middle" >103</td><td align="center" valign="middle" >93.63</td><td align="center" valign="middle"  rowspan="4"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Personal Funds, Credit</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.90</td></tr><tr><td align="center" valign="middle" >Personal Funds, Subvention</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.63</td></tr><tr><td align="center" valign="middle" >Subvention</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.81</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Animal Sell Site</td><td align="center" valign="middle" >Market</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >16.36</td><td align="center" valign="middle"  rowspan="5"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Farm</td><td align="center" valign="middle" >69</td><td align="center" valign="middle" >62.72</td></tr><tr><td align="center" valign="middle" >Market and Farm</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.18</td></tr><tr><td align="center" valign="middle" >Market and at the Client’s House</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.81</td></tr><tr><td align="center" valign="middle" >Farm and at the Client’s Home</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >10.90</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Nature of Client</td><td align="center" valign="middle" >Business Person</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >46.36</td><td align="center" valign="middle"  rowspan="6"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Business Person Establishment (Restaurant, Hotel)</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Individuals</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Individuals + Business person</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >30.90</td></tr><tr><td align="center" valign="middle" >Individuals and Establishment (Restaurant, Hotel</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Breeder with Individual and Business Persons</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >20</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant.</p></sec><sec id="s3_3"><title>3.3. Zootechnical Characteristics of Cattle Breeders</title>Genetic Materials<p>Cattle breeds reared were White Fulani (70%), Goudali (44.55%), Hybrids (34.55%), Red Fulani (11.82%) (<xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref>), Holstein (1.82%) and Montb&#233;liard (0.91%) (χ<sup>2</sup> = 269.09; p &lt; 0.001) while respondents often reported the use of more than a single breed. The average number of farms was 46 cattle. The lowest number was 20 heads while the highest number was 700 heads. The majority of respondents had a herd of fewer than 75 heads (76.63%; χ<sup>2</sup> = 30.36; p &lt; 0.001). The herds were mainly made of white Fulani. This breed is much appreciated by the breeders of this locality as it is a hardy, very good walker and much more resistant to disease than other breeds 23. In addition, some breeders individually had several herds (2 to 4) while others had common or collective herds. The existence of collective herds would make their management difficult because decision-making does not depend only on the group leader but on all the members.</p></sec><sec id="s3_4"><title>3.4. Housing and Farming Mode</title><p>Clay was the material used in most instances (70%) for the enclosure floor while 23.63% used concrete and 0.9% used plywood (χ<sup>2</sup> = 96.36; p &lt; 0.001) (<xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref>). The different types of enclosures were made of stake and barbed wire (67.27%), plank associated to barbed wire (30%), plank (1.81%) and concrete (0.9%) (χ<sup>2</sup> = 128.91; p &lt; 0.001). Cattle breeders are increasingly sedentary in the Nd&#233; (51.81%) while some still practice transhumance. Reasons set forth for transhumance are mainly scarcity of water and agro-pastoral conflicts (χ<sup>2</sup> = 39.21; p &lt; 0.001). These are associated to investment in time, finance or energy making more breeders to be reluctant to embrace this practice. Although those engaging in this practice often evoke the lack of fodder, lack of water and agro-pastoral conflicts, in some other divisions (Noun and Mbam and Inoubou) transhumance is still well practiced [<xref ref-type="bibr" rid="scirp.126650-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref18">18</xref>] . Sedentary could also be explained by the breeders getting themselves increasingly involved in developing personal fodder plot of Pennisetum clandestinum, Brachiarria ruziziensis and Trypsacum laxum while those depending solely on natural pastures are still verse in transhumance.</p></sec><sec id="s3_5"><title>3.5. Feeding and Access to Water</title><p>Natural fodder combined with cooking salt were mainly used to feed herd (59.09%), 40% of farmers added concentrate to feed (χ<sup>2</sup> = 4.04; p = 0.044) (<xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref>). A greater proportion of these breeders (70.90%; χ<sup>2</sup> = 19.23; p &lt; 0.001) had personal fodder plot of Pennisetum clandestinum, Brachiarria ruziziensis, Trypsacum laxum. The sources of water supply for their animals were boreholes, backwaters and rivers (<xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref>). The majority of breeders took their herds to the backwater for drinking (78.18%; χ<sup>2</sup> = 239.12; p &lt; 0.001).</p></sec></sec><sec id="s4"><title>4. Constraints of Cattle Farming</title><sec id="s4_1"><title>4.1. Socio-Economic Constraints</title><p>The main social constraint observed was the lack of technical training related to cattle breeding (<xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref>). This situation implies a transmission of knowledge related to cattle breeding from father to son and consequently, the breeders devote</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3"><xref ref-type="table" rid="table">Table </xref>3</xref></label><caption><title> Main breeds and number of cattle obtained from the different cattle breeders (n = 110) of Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Main Breeds</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Breed</td><td align="center" valign="middle" >White Fulani</td><td align="center" valign="middle" >77</td><td align="center" valign="middle" >70</td><td align="center" valign="middle"  rowspan="6"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Goudali</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >44.55</td></tr><tr><td align="center" valign="middle" >Hybrids</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >34.55</td></tr><tr><td align="center" valign="middle" >Red Fulani</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >11.82</td></tr><tr><td align="center" valign="middle" >Holstein</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.82</td></tr><tr><td align="center" valign="middle" >Montb&#233;liard</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.91</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Herds</td><td align="center" valign="middle" >Less than 75 Cattle</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >76.63</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >More than 75 Cattle</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >23.36</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4"><xref ref-type="table" rid="table">Table </xref>4</xref></label><caption><title> Farmhouse used by cattle breeders (n = 107) of Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Farmhouse Used by Cattle Breeders</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Nature of the Floor</td><td align="center" valign="middle" >Concrete</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >23.63</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Plywood</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Mud</td><td align="center" valign="middle" >83</td><td align="center" valign="middle" >75.45</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Nature of Enclosure</td><td align="center" valign="middle" >Barb Wire + Stick</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >67.27</td><td align="center" valign="middle"  rowspan="4"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Plank + Barb Wire</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >30</td></tr><tr><td align="center" valign="middle" >Concrete</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle" >Plank</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.81</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Farming Mode</td><td align="center" valign="middle" >Sedentary</td><td align="center" valign="middle" >57</td><td align="center" valign="middle" >51.81</td><td align="center" valign="middle"  rowspan="3"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Transhumant</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >43.36</td></tr><tr><td align="center" valign="middle" >Sedentary + Transhumant</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.81</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Transhumance Reasons</td><td align="center" valign="middle" >Forage</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.63</td><td align="center" valign="middle"  rowspan="4"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Forage + Watering</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >22.72</td></tr><tr><td align="center" valign="middle" >Forage + Watering + Agro-pastoral Conflict</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >24.54</td></tr><tr><td align="center" valign="middle" >Forage + Agro-pastoral Conflict</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr></tbody></table></table-wrap><p>Note: p&lt; 0.001 = highly significant.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5"><xref ref-type="table" rid="table">Table </xref>5</xref></label><caption><title> Feeding and watering practices of cattle breeders (n = 110) of Nd&#233; division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Feeding and Watering Practices of Cattle Breeders</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Food Utilized</td><td align="center" valign="middle" >Natural Fodder + Cooking Salt</td><td align="center" valign="middle" >65</td><td align="center" valign="middle" >59.09</td><td align="center" valign="middle"  rowspan="2"  >p = 0.044</td></tr><tr><td align="center" valign="middle" >Concentrated Feed + Natural Fodder + Cooking Salt</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >40</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Personal Fodder Plot?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >70.90</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >29.09</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Source of Water Supply</td><td align="center" valign="middle" >Borehole</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.72</td><td align="center" valign="middle"  rowspan="5"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Backwater + Borehole</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.45</td></tr><tr><td align="center" valign="middle" >Backwater</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >78.18</td></tr><tr><td align="center" valign="middle" >River + Backwater</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.81</td></tr><tr><td align="center" valign="middle" >River</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >10.90</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant; p &gt; 0.001 = significant.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6"><xref ref-type="table" rid="table">Table </xref>6</xref></label><caption><title> Socio-economic constraints of cattle raring (n = 110) in Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Socio-Economic Constraints Of Cattle Raring</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Social Constraint</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Level of Technical Training</td><td align="center" valign="middle" >Untrained</td><td align="center" valign="middle" >107</td><td align="center" valign="middle" >97.27</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Trained at IRAD</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >2.72</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Economic Constraints</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Access to Funding?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >14.54</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >85.45</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Easy Selling of Animals?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >34.54</td><td align="center" valign="middle"  rowspan="2"  >p = 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >65.45</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant; p = 0.001 = significant.</p><p>themselves little to new pastoral techniques which constitute a brake for the development of this activity. Formal education is not commonly practiced in communities with the skills transmitted from parents to offspring (mostly fathers to son). Indeed, the majority of respondents had no technical training (97.27%; χ<sup>2</sup> = 98.33; p &lt; 0.001). Similar observations were previously reported in other localities in Cameroon [<xref ref-type="bibr" rid="scirp.126650-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref26">26</xref>] . Additionally, several parents will start initiating the offspring at the early ages sending them with the animals to supervise grazing. Regarding economic constraints, a large part of the breeders did not have access to financing (85.45%; χ<sup>2</sup> = 55.30; p &lt; 0.001). The sale of animals remains challenging in this locality (65.5%; χ<sup>2</sup> = 10.50; p = 0.001). In the Nd&#233; division, there is no livestock market. Breeders mainly rely on butchers as main customers and get all their money after the product has been sold by the latter.</p></sec><sec id="s4_2"><title>4.2. Zootechnical Constraints</title><p>Almost all of the breeders reported that their cattle came from the same herd (99.09%; χ<sup>2</sup> = 106.04; p &lt; 0.001) (<xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref>), most of the respondents also had cattle of other species on their farms (66.36% χ<sup>2</sup> = 11.78; p &lt; 0.001). The agro-pastoral conflict seemed to be the main limiting factor related to housing in this locality. Indeed, 76.36% of breeders face this problem. Herds generally have a narrow path while moving to a new site to graze. This augments the chances of animals deviating to nearby farmlands and feed on crops.</p><p>The insufficiency of fodder around was the major problem related to food encountered by cattle breeders (67.27%; χ<sup>2</sup> = 13.12; p &lt; 0.05). Ongoing human development characterized by the building of infrastructures and intensive agriculture are reducing rangeland for cattle. Access to drinking water also remains a challenge to herds and runoff from nearby farmland could eventually transport pesticides downside to the few remaining accessible drinking points. Findings here are similar to previous studies showing that agro pastoral conflicts are widely spread in the community [<xref ref-type="bibr" rid="scirp.126650-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.126650-ref18">18</xref>] . Access to quality fodder remains challenging throughout the year. This is exacerbated in the dry season, contributing to the practice of fodder cultivation by the majority of breeders. Similar observations were made by Awa et al. (2004) in the cotton areas of Cameroon, the Central African Republic and Chad.</p><p>The majority of breeders (65.45%) did not have a prophylaxis program (χ<sup>2</sup> = 12; p &lt; 0.05). Actually, 90.09% of breeders admitted having previously encountered pathologies in their herd. In the event of symptoms, the means of treatment were self-treatment (50%), self-treatment associated to slaughtering (26.36%), veterinary assistance with self-treatment (10.90%), veterinary assistance associated to self-treatment and slaughtering (9.09%) and veterinary assistance only (3.63%) (χ<sup>2</sup> = 77.54; p &lt; 0.001). Cattle breeders usually provide treatment themselves for their sick animals. This is controversy as most of them lack the necessary knowledge and skills to diagnose and/or manage diseases through appropriate medication or practices.</p><p>Considering economic constraints, access to finance remains a main challenge to cattle breeding. The lack of subsidy can be the cause of the low renewal of the herds by the breeders and mostly resulting to low veterinary care towards animals. In most instances, specimens used for breeding are coming from the same herd. This is potentially increasing inbreeding rate in the herd and the vulnerability of animals to disease and environmental challenges. Additionally, the presence of different breed observed in the many farms can favor the transmission of diseases from a breed to the other.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7"><xref ref-type="table" rid="table">Table </xref>7</xref></label><caption><title> Zootechnical constraints of cattle breeding (n = 110) in Nd&#233; Division, West Cameroon region</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Variables</th><th align="center" valign="middle"  colspan="4"  >Zootechnical Constraints of Cattle Breeding</th></tr></thead><tr><td align="center" valign="middle" >Modalities</td><td align="center" valign="middle" >Frequencies</td><td align="center" valign="middle" >Percentages</td><td align="center" valign="middle" >p-value</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Constraints Link to Genetic Material</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Origin of Bull</td><td align="center" valign="middle" >Same Farm</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >99.09</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Neighbouring Farm</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.9</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Do You Have Other Species of Animals?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >66.36</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >33.63</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Constraints Link to Housing</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Do You Face Agro-pastoral Conflicts?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >76.36</td><td align="center" valign="middle"  rowspan="2"  >p&lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >21.82</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Constraints Link to Feeding</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Availability of Fodder in the Locality?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >32.72</td><td align="center" valign="middle"  rowspan="2"  >p = 0.0003</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >67.27</td></tr><tr><td align="center" valign="middle"  colspan="5"  >Constraints Link to Animal Health</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Do You Follow a Prophylaxi Program?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >32.72</td><td align="center" valign="middle"  rowspan="2"  >p = 0.0005</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >72</td><td align="center" valign="middle" >65.45</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Presence of Pathologies?</td><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >100</td><td align="center" valign="middle" >90.91</td><td align="center" valign="middle"  rowspan="2"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.09</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >What Do You Do in Case of Appearance of Symptoms?</td><td align="center" valign="middle" >Veterinary Assistance</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >3.63</td><td align="center" valign="middle"  rowspan="5"  >p &lt; 0.001</td></tr><tr><td align="center" valign="middle" >Self-treatment</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >50</td></tr><tr><td align="center" valign="middle" >Self-treatment + Slaughter</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >26.36</td></tr><tr><td align="center" valign="middle" >Veterinary Assistance + Self-treatment</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >10.90</td></tr><tr><td align="center" valign="middle" >Veterinary Assistance + Self-treatment + Slaughter</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >9.09</td></tr></tbody></table></table-wrap><p>Note: p &lt; 0.001 = highly significant; p &gt; 0.001 = significant.</p></sec><sec id="s4_3"><title>4.3. Diseases and Prophylaxis</title><p>Farmers usually reported several concurrent cause of mortality. In most instances, these constrains are reported at the same time by the same farmer. However, when taking each case alone, 86% of farmers complained of skin diseases, these are most often due to the nature of the floor, the atmosphere in the accommodation, the season and especially the practice of hygiene. Seventy-one percent did not know the nature of the disease, 54% complained of diarrhea, 45% spoke of foot-and-mouth disease which is characterized by hyperthermia and causes nasal, oral, foot and breast lesions which start with vesicles. Twenty-two percent spoke of Contagious Bovine Pleuropneumonia known to be characterized on the anatomo-pathological level by an exudative inflammation of the lung and the pleura. Tuberculosis was mentioned by 20% of farms and brucellosis by 18%. This study also showed that animals could be sick at any time of the year (during the dry season as well as in the rainy season) because of no disease association with the seasons (χ<sup>2</sup> = 2.03; p = 0.363). The majority of breeders associated modern treatment with traditional treatment (tree barks, medicinal herbs, etc.) as the type of treatment administered by breeders in the event of symptoms (98.18%; χ<sup>2</sup> = 102.15; p &lt; 0.001).</p></sec><sec id="s4_4"><title>4.4. Functional Characteristics</title><p>Multiple Correspondence Analysis (MCA) was applied to 15 variables ( <xref ref-type="table" rid="table">Table </xref>A1) composed of 45 modalities contributing to the total inertia of the first 3 axes of 27.23%. The existing correlations between the variables studied and the first two axes are illustrated in <xref ref-type="fig" rid="fig">Figure </xref>A1. <xref ref-type="fig" rid="fig">Figure </xref>A2 shows the 5 groups of cattle breeders sampled in the department of Nd&#233;.</p><p>As reported in <xref ref-type="fig" rid="fig">Figure </xref>A1, Axis 1 represents 11.66% of the total inertia. It is correlated with main activity, schooling, provision of a prophylaxis program, experience, gender, provision of forage plot, the objective of exploitation, type of feed used, mode breeding, and labor. Axis 2 provides 8.1% total inertia. It is significantly correlated with School Enrolment, Main Activity, Purpose of Operation, Type of Labor, District, Experience, Type of Foods Used, Marital Status and Family and Provision of fodder plot. Axis 3 represents 7.47% of inertia and is significantly correlated to the variables Manpower, Purpose of Operation, Presence of Pathologies, Schooling, Age, Experience, Types of food used, Provision of a Prophylaxis program, Main activity, District, Marital status, Provision of fodder plot.</p><p>The first two axes represent a cumulative total of 19.76%, which seems low and potentially represents that cattle breeding is rather widespread in the population of respondents without any particular restriction. The first group of cattle breeders (Cluster 1) was characterized by the Agro-Breeder modalities of the main activity, marketing as the objective of breeding, paid and family labor, education essentially centered on Koranic studies, fodder with cooking salt and concentrated food as types of food used, a transhumant breeding mode and an age group of 20 to 40 years. The second group of cattle breeders (Cluster 2) is represented by the fodder and cooking salt modalities of the types of feed used, the non-availability of a prophylaxis program, self-consumption + marketing of the objective of exploitation, the non-availability of fodder plots, family labor, stockbreeding as the main activity and transhumance of the farming method. The third group of cattle breeders (Cluster 3) is described by the following modalities of different variables: the 7 - 9-year duration of the experience and the Tonga locality for the district. The fourth group of cattle breeders (Cluster 4) stands out for the yes modality of the Provision of fodder plot, the yes modality of the Provision of a prophylaxis program, the sedentary modality of the Breeding method, the Fodder with salt and food modality concentrates of the types of feed used, of the marketing modality of the breeding objective, modality of none level of schooling. The fifth group of cattle breeders (Cluster 5) is depicted by the modalities: a higher level of schooling, a civil servant of the main activity, not of the provision of a prophylaxis program, fodder associated with concentrating and cooking salt of the type of foods used, 4 - 6 years of the number of years of experience, leisure of the operating objective.</p></sec></sec><sec id="s5"><title>5. Conclusion</title><p>The study of the socio-economic and technical characteristics of cattle breeding in the Nd&#233; division showed that this breeding was dominated by Muslim men, with the majority being married. There was mainly no formal education or professional training. Cattle were mainly raised for sale and self-consumption. White Fulani was the dominant breed chosen mainly for beef production and adaptation to harsh living conditions. Breeders mainly obtained their livestock by inheritance. Sedentary was the most practiced production system. Cattle herders relied in most instances on natural pastures for food and streams/rivers for watering. Pastures were often supplemented with salt and concentrate feed throughout the year. Self-treatment (vaccination and ticking) was the main preventive measure taken by breeders against diseases. Cattle farmers faced a series of challenges, including a lack of technical training related to cattle breeding, and reduced access to finance and difficult marketing of animals. Cattle herders also faced other difficulties, such as insufficient pasture, agro-pastoral conflicts and diseases.</p></sec><sec id="s6"><title>Acknowledgement</title><p>The authors are grateful to the local authorities who facilitated the fieldwork. Special gratitude to all the breeders who readily participated in this survey. Authors also recognize the help of several local guides that ease data collection, also serving as interprets.</p></sec><sec id="s7"><title>Authors’ Contributions</title><p>Study design: DFW, FT, GCTT, BMTN; data collection: DFW, GCTT, BMTN; data analysis: GCTT, BMTN, DFW; writing: DFW, GCTT, BMTN, GFDT, ENN, ASN, MMFN, BHTF, FDKW, SGTK, KMT, KAE, FT. All authors read and approved the manuscript.</p></sec><sec id="s8"><title>Consent to Participate</title><p>Participation in the interviews was entirely voluntary; respondents provided signed informed consent (see supplementary material).</p></sec><sec id="s9"><title>Funding</title><p>This research did not receive any specific support from a donor or agency.</p></sec><sec id="s10"><title>Data Availability</title><p>The dataset supporting the findings of this study is available from the corresponding authors upon reasonable request.</p></sec><sec id="s11"><title>Conflicts of Interest</title><p>The authors declare no competing interests.</p></sec><sec id="s12"><title>Cite this paper</title><p>Wauffo, D.F., Tasse Taboue, G.C., Tsana Nantia, B.M., Tobou, G.F.D., Ndzi, E.N., Nsangou, A.S., Ndeb&#233;, M.M.F., Fokouong, B.H.T., Wouembe, F.D.K., Tsoupou Kuete, S.G., Tanyi, K.M., Etchu, K.A. and Tendongkeng, F. (2023) Socio-Economic and Technical Characteristics of Beef Cattle Breeding in Nd&#233; Division, West Region of Cameroon. Open Journal of Animal Sciences, 13, 379-397. https://doi.org/10.4236/ojas.2023.133028</p></sec><sec id="s13"><title>Appendix</title><table-wrap id="table8" ><label><xref ref-type="table" rid="table">Table </xref>A1</label><caption><title> List of variables used in the MCA</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Variables</th><th align="center" valign="middle" >Modalities</th><th align="center" valign="middle" >Codes</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >Localities</td><td align="center" valign="middle" >Bangangte</td><td align="center" valign="middle" >Loc 1</td></tr><tr><td align="center" valign="middle" >Bassamba</td><td align="center" valign="middle" >Loc 2</td></tr><tr><td align="center" valign="middle" >Bazou</td><td align="center" valign="middle" >Loc 3</td></tr><tr><td align="center" valign="middle" >Tonga</td><td align="center" valign="middle" >Loc 4</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >H</td></tr><tr><td align="center" valign="middle" >Females</td><td align="center" valign="middle" >F</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Ages</td><td align="center" valign="middle" >20 - 40</td><td align="center" valign="middle" >Age 1</td></tr><tr><td align="center" valign="middle" >41 - 60</td><td align="center" valign="middle" >Age 2</td></tr><tr><td align="center" valign="middle" >60+</td><td align="center" valign="middle" >Age 3</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Marital Status</td><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >SM 1</td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >SM 2</td></tr><tr><td align="center" valign="middle" >Widow</td><td align="center" valign="middle" >SM 3</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Level of Education</td><td align="center" valign="middle" >None</td><td align="center" valign="middle" >Etud 1</td></tr><tr><td align="center" valign="middle" >Koranic</td><td align="center" valign="middle" >Etud 2</td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >Etud 3</td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >Etud 4</td></tr><tr><td align="center" valign="middle" >Higher</td><td align="center" valign="middle" >Etud 5</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Years of Experience</td><td align="center" valign="middle" >4 - 6 years</td><td align="center" valign="middle" >Exp 1</td></tr><tr><td align="center" valign="middle" >7 - 9 years</td><td align="center" valign="middle" >Exp 2</td></tr><tr><td align="center" valign="middle" >10+</td><td align="center" valign="middle" >Exp 3</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Principal Activity</td><td align="center" valign="middle" >Breeder</td><td align="center" valign="middle" >prin 1</td></tr><tr><td align="center" valign="middle" >Agro-Breeder</td><td align="center" valign="middle" >prin 2</td></tr><tr><td align="center" valign="middle" >Businessman</td><td align="center" valign="middle" >prin 3</td></tr><tr><td align="center" valign="middle" >Civil Servant</td><td align="center" valign="middle" >prin 4</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Objective of Raring Cattle</td><td align="center" valign="middle" >Commercialization</td><td align="center" valign="middle" >Obj 1</td></tr><tr><td align="center" valign="middle" >Self-consumption + Commercialization</td><td align="center" valign="middle" >Obj 2</td></tr><tr><td align="center" valign="middle" >Leisure</td><td align="center" valign="middle" >Obj 3</td></tr><tr><td align="center" valign="middle"  rowspan="3"  >Labour</td><td align="center" valign="middle" >Paid</td><td align="center" valign="middle" >Main 1</td></tr><tr><td align="center" valign="middle" >Paid + Family</td><td align="center" valign="middle" >Main 2</td></tr><tr><td align="center" valign="middle" >Family</td><td align="center" valign="middle" >Main 3</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Exploitation Status</td><td align="center" valign="middle" >Stat 1</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >Stat 2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Personal Fodder Plot</td><td align="center" valign="middle" >Par</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >No Par</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Number of Cattle per Herd</td><td align="center" valign="middle" >Eff 1</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >Eff 2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Presence of Disease</td><td align="center" valign="middle" >Mal</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >No Mal</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Any Prophylaxis Program Followed?</td><td align="center" valign="middle" >Phy</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >No Phy</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Mode of Cattle Rearing</td><td align="center" valign="middle" >Mode1</td><td align="center" valign="middle"  rowspan="2"  ></td></tr><tr><td align="center" valign="middle" >Mode 2</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Food Used</td><td align="center" valign="middle" >Fodder and Cooking Salt</td><td align="center" valign="middle" >Alt 1</td></tr><tr><td align="center" valign="middle" >Fodder, Cooking Salt and Concentrated Feed</td><td align="center" valign="middle" >Alt 3</td></tr></tbody></table></table-wrap></sec></body><back><ref-list><title>References</title><ref id="scirp.126650-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Food and Agriculture Organization (FAO) (2019) L’&amp;#233tat de la S&amp;#233curit&amp;#233 Alimentaire et de la Nutrition dans le Monde. 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