<?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">AS</journal-id><journal-title-group><journal-title>Agricultural Sciences</journal-title></journal-title-group><issn pub-type="epub">2156-8553</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/as.2022.1311075</article-id><article-id pub-id-type="publisher-id">AS-121105</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><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Evaluating the Effective Microbial Supplementation of Feed on the Load of &lt;i&gt;Salmonella&lt;/i&gt; in Two Lymph Nodes of Beef Cattle in Eastern Ethiopia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fuad</surname><given-names>Mohammed</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>Adem</surname><given-names>Hiko</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>Yesihak</surname><given-names>Yusuf</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>Jemal</surname><given-names>Yusuf</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>Mustefa</surname><given-names>Musse Ebro</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Bule Hora University, Bule Hora, Ethiopia</addr-line></aff><aff id="aff2"><addr-line>Haramaya University, Haramaya, Ethiopia</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>11</month><year>2022</year></pub-date><volume>13</volume><issue>11</issue><fpage>1223</fpage><lpage>1233</lpage><history><date date-type="received"><day>10,</day>	<month>October</month>	<year>2022</year></date><date date-type="rev-recd"><day>7,</day>	<month>November</month>	<year>2022</year>	</date><date date-type="accepted"><day>10,</day>	<month>November</month>	<year>2022</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>
 
 
  The present study was conducted to evaluate the role of effective microbial supplementation to feed on the load of 
  <em>Salmonella</em> in the mesenteric and sub-iliac lymph nodes of beef cattle. Bulls of Harer cattle breed managed at Chercher Oda-Bultum Farmers Union beef Farm were used as study subject. A total of 130 bulls were used using double blinded randomized controlled field trial based on parallel group design from January 2018 to July 2018. The study animals were randomly assigned to the treatment group (
  <em>n</em> = 100) and control group (
  <em>n</em> = 30). The feed of treatment group was mixed with EM at dose of 5 &#215; 10
  <sup>10</sup> cfu/day/head and supplemented for 90, 100 and 115 days while that of the control group was mixed with molasses, which acts as placebo. Both the treatment and control were slaughtered and two lymph nodes were collected from each animal under strict sterile condition and processed for the isolation and identification of 
  <em>Salmonella</em> using standard procedure. A significant (p = 0.001) reduction in the load of 
  <em>Salmonella</em> was observed in the lymph node of treatment group as compared to the control group. The load of 
  <em>Salmonella</em> was significantly affected by length of feeding period and age of bulls. This study indicated that effective microbial supplementation to bulls from Harar cattle reduces the load of 
  <em>Salmonella</em> in the lymph node of beef cattle thereby potentially minimizing the economic and public health impacts of 
  <em>Salmonella </em>infection.
 
</p></abstract><kwd-group><kwd>&lt;i&gt;Salmonella&lt;/i&gt;</kwd><kwd> Lymph Node</kwd><kwd> Effective Microbial</kwd><kwd> Load</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Gradual increase in world population and change in lifestyles have resulted in demands for quality oriented foods of animal origin. Meanwhile, the number of incidences of food poisoning cases is increasing throughout the world. On the other hand, ensuring food safety to protect public health and promote economic development remains a significant challenge in both developing and developed countries. Considerable progress to strengthen food safety systems has been achieved in many countries, highlighting the opportunities to reduce and prevent food-borne disease. However, unacceptable rates of food borne illness still remain and new hazards continue to enter the food supply [<xref ref-type="bibr" rid="scirp.121105-ref1">1</xref>]. In this regard, many emerging and re-emerging pathogens associated with fresh or raw meat can be mentioned including Salmonella [<xref ref-type="bibr" rid="scirp.121105-ref2">2</xref>].</p><p>Fresh meat is highly prone to contamination regardless of its nutritional values. In mild to severe illness, hospitalization or even death can be caused due to ingestion of contaminated food [<xref ref-type="bibr" rid="scirp.121105-ref3">3</xref>]. In Ethiopia, like other developing countries, it is difficult to evaluate the burden of food-borne pathogens. This is because of the limited scope of studies and lack of coordinated epidemiological surveillance systems. In addition, under-reporting of cases and the presence of other diseases considered to be of high priority may have overshadowed the problem of food-borne pathogens [<xref ref-type="bibr" rid="scirp.121105-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.121105-ref5">5</xref>]. The widespread habit of raw beef consumption is a possible potential cause for the spread of food-borne illnesses in Ethiopia [<xref ref-type="bibr" rid="scirp.121105-ref5">5</xref>].</p><p>On the other hand, even though there is scarcity or no precise data, the incidence of food-borne outbreaks in Ethiopia seems to be higher compared to developed countries [<xref ref-type="bibr" rid="scirp.121105-ref6">6</xref>]. A few studies conducted in different parts of the country showed that pathogenic organisms like Campylobacter Spp, Salmonellas Spp, Taenia Spp, Toxoplasma Spp, Mycobacterium Spp, Brucella Spp, Escherichia coli, Echinococcos/hydatid cysts were identified as causes of food-borne illness [<xref ref-type="bibr" rid="scirp.121105-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.121105-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.121105-ref9">9</xref>]. These and related issues rise the necessity of establishing important food safety measures.</p><p>Salmonella remains a persistent public health concern both in the developed and developing countries. The majority of non-typhoidal salmonellosis cases are associated with food borne vehicles including beef. Even if the implementation of pathogen reduction plans is based on the principles of HACCP in the mid-1990s, the contamination of the surface of carcasses with Salmonella has declined, but there is no significant reduction in ground beef contamination by Salmonella. Moreover, the incidence of human disease has not meaningfully declined over time despite concerted efforts to affect change [<xref ref-type="bibr" rid="scirp.121105-ref10">10</xref>]. Current estimates indicate that exposure to non-typhoidal Salmonella results in 93.76 million GIT illnesses and 155,000 deaths worldwide each year [<xref ref-type="bibr" rid="scirp.121105-ref11">11</xref>].</p><p>In Ethiopia, some studies have been conducted in different chain of productions like environmental, abattoir lines, processing lines and animals itself including lymph nodes. The prevalence of 26.6%, 23.5%, and 8.8% has been reported in abattoir line, animals’ feces and lymph nodes respectively [<xref ref-type="bibr" rid="scirp.121105-ref12">12</xref>]. Positive results from the lymph nodes indicate the infection status of the animals. Positive environmental samples ranged between 30.7% in knives and 60% in refrigerators. The same study reported 8.3%, 45.5% and 32.4% Salmonella prevalence from water, meat transporting track and raw beef from butcheries respectively [<xref ref-type="bibr" rid="scirp.121105-ref12">12</xref>]. Approximately, the same rates were reported in the same or related chain of beef in some other studies in Ethiopia [<xref ref-type="bibr" rid="scirp.121105-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.121105-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.121105-ref15">15</xref>].</p><p>The above paragraph implies the ubiquitous nature of Salmonella and its prevalence in beef chain in the country. The isolation of related or similar serotyps from both human and animals reveals its zoonotic and food safety implication in the country. In spite of real increments in Salmonella prevalence from abattoir to refrigerators no one of the above studies consider means of Salmonella load reduction in lymph nodes for prevention and control.</p><p>To reduce the public health risk, clearly more needs to be done in Salmonella prevention. Therefore, the purpose of this study was to evaluate the effect of supplementing Effective Microbial (EM) in reducing the load of pathogenic Salmonella in lymph node of Harar cattle thereby safe beef provided for market.</p></sec><sec id="s2"><title>2. Materials and Methodology</title><sec id="s2_1"><title>2.1. Description of the Study Area</title><p>The study was carried out at Charcher Oda Bultum Farmers Cooperative Union farm which is located in Oda Bultum district of Western Harerghea Zone, Oromia Regional State. The district is located at approximately 375 km east of Addis Ababa. Geographically this area has an altitude of 1400 - 3100 m.a.s.l and the specific location of the site is provided bellow (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The area has a mean temperature ranging from 22˚C - 28˚C. It receives an average annual rainfall of</p><p>900 mm - 1200 mm with bimodal distribution of the seasonal pattern peaking in mid-April and mid-August of the year; however there is a variation from year to year [<xref ref-type="bibr" rid="scirp.121105-ref16">16</xref>]. The capacity of the farm can accommodate about 500 bulls for fattening and 250 dairy cattle with the objectives of beef and milk supply to the central market and local community. The Farm is equipped with production facilities like feed chopper, feed mixer, milking machine, basic veterinary equipment for clinical diagnosis and modern housing for both fattening and dairy which is suitable lay out for the purpose of the study.</p></sec><sec id="s2_2"><title>2.2. Study Animals</title><p>A total of 130 bulls from Harar cattle breed aged between 2 and 4.5 years managed in two pens of 100 (treated) and 30 (control) used for the study. All the bulls of study subjects were zebu breed of those mainly produced by the local small holders. Bulls were bought from the local markets Baddessa which is highlands and lowland areas Boke, Gabiba and Milkae. The production system in low land is mainly pastoral while in highland areas cattle are managed by thetering and supplied feed mainly by cut and carry system [<xref ref-type="bibr" rid="scirp.121105-ref17">17</xref>]. The Chercher Oda-Bultum Farmers Union purchased these bulls from smallholders and finished them in the feedlot to sell bulls at good body condition to markets at Addis Ababa, Mojo, Adama and institutes including Haramaya and Oda-Bultum Universities. Experimental bulls those slaughtered at Haramaya University Abattoir were sampled and examined at Haramaya University Microbiological laboratory.</p></sec><sec id="s2_3"><title>2.3. The Study Animals Management</title><p>Body condition scoring [<xref ref-type="bibr" rid="scirp.121105-ref18">18</xref>] and age determination of the study animals were conducted according to the standards developed by Canadian Food Inspection Agency [<xref ref-type="bibr" rid="scirp.121105-ref19">19</xref>]. Both control and treatment cohorts of feedlot cattle were received a starter diet and a finishing diet during the feeding period. The treatment diets were differed from the control cattle diet by the addition of EM·1<sup>&#169;</sup> inoculants (EM Research Organization Japan, Inc. #3600-01-007771) and the control group was used molasses as placebo as the color of two liquids are similar as well as used as owner blinding.</p><p>The product was supplied by EM-Woljejii Agricultural Industry PLC, which is accredited distributer in domestic market in Ethiopia. The product was supplied in the form of solution which contained a mixture of EM, molasses and warm water (chlorine free) in the ratio of 1:1:18 liter. The product was feed mixed, according to manufacturer’s recommendation, with the target dose being 5 &#215; 10<sup>10</sup> cfu/day/head of Lactobacillus bacteria [<xref ref-type="bibr" rid="scirp.121105-ref20">20</xref>]. Experimental bulls were fed for 90 days (n = 42), 100 days (n = 40) and 115 days (n = 48) days, then based on batch of animals were slaughtered. Treatment and control diets were administered for the duration of the feeding periods and separate feeding trucks were used for the two groups to administer the two different diets. All experimental bulls were provided similar basic diet such as grass, hay, teff straw, coffee hask and wheat brand while treatment group were provided with EM.</p></sec><sec id="s2_4"><title>2.4. The Study Design and Sampling Method</title><p>All animals were tagged and registered for onset of the experiment. For these purpose, animals’ attendants and employed workers were trained on how to prepare, mix EM-microbial inoculants and feed to animals. Double blinded parallel-group-designed and randomized controlled field trial (RCFT) were conducted in which the treatment EM were supplemented to treatment group (n = 100) and control (n = 30) animals in each pen. Within pens the animals were clustered based on their biological differences considering animal age determination [<xref ref-type="bibr" rid="scirp.121105-ref19">19</xref>], body condition [<xref ref-type="bibr" rid="scirp.121105-ref18">18</xref>], body weight, sources and exposure time.</p><p>At the end of experimental period, experimental animals were slaughtered at HU abattoir. In both cohorts of the study, a sample of SLN and a sample of MLN were collected per carcass from both treatment and control groups immediately after slaughter. A total of 260 LNs (130 from SLNs and 130 from MLNs) were collected from all experimental bulls. Thus, pair of samples (SLN and MLN) from each experimental animal was collected aseptically and separately.</p></sec><sec id="s2_5"><title>2.5. Sample Size Determination</title><p>The prospective randomized control field trial in parallel-groups-designed study based on feed supplemented by EM and non-EM supplemented group. Sample size was calculated by using the formula given by [<xref ref-type="bibr" rid="scirp.121105-ref21">21</xref>], which is appropriate in comparison of effects.</p><p>N = 0.25/SE<sup>2</sup>,</p><p>where: N = sample size, SE (standard error) = 5%; Hence, the required sample sizes were (n = 100) for treatment and (n = 30) animals for control cohort. Assuming that, confidence interval (CI) = 95%; desired absolute precision (α) = 0.05; Power (P) = 96%.</p></sec><sec id="s2_6"><title>2.6. Sample Collection</title><p>Following specific identification given during the feeding, the samples of SLN and MLN were aseptically collected and registered with same identification code used while animals were alive at the farm. A total of 84, 80 and 96 samples were collected separately from experimental bulls fed for 90, 100 and 115 days respectively. The samples were transported to Veterinary Microbiology Laboratory, College of Veterinary Medicine of Haramaya University for immediate process on the date of sampling. Sample collection and processing were done aseptically (flaming the sampled LNs before processing) but blinded using the coding system that has been given at the beginnings of study. Thus, codes were lifted in to Excel sheet after data collection in order to conduct statistical analysis.</p></sec><sec id="s2_7"><title>2.7. Salmonella Enumeration</title><p>Quantitative culture methods were conducted according to [<xref ref-type="bibr" rid="scirp.121105-ref22">22</xref>], where one ml of the Triptone Soya Broth (TSB) /LNs homogenate were removed prior to initial incubation, plated in duplicate onto counting plate/Enterobacteriaceae (EB) count plates (EB; Petrifilm<sup>TM</sup>, 3M, St Paul, MN, USA) and incubated for 22 - 26 hours at 37˚C. EB plates were then held at 4˚C until presumptive culture results were obtained. Colonies were counted with colony counter according to manufacturer’s instructions and recorded considering minimum 30 CFU and maximum 100 CFU per plate was counted. Each of the separate colony of bacterial growth on EB count plates (petrifilm<sup>TM</sup>) were transferred to XLD (M031 - 500G, HiMedia Laboratories Pvt. Ltd), agar and incubated for 16 hours at 37˚C. Morphologically typical colonies on XLD plates were counted and comparisons were made with EB count plate (petrifilm<sup>TM</sup>) counts. The load of Salmonella was reported on a cfu/25g of lymph node basis.</p></sec><sec id="s2_8"><title>2.8. Data Analysis</title><p>Raw data were interred to Microsoft Excel 2007<sup>&#169;</sup> and analyzed using STATA 12.1. The Salmonella load data were transformed to log<sub>10</sub> and analyzed. The result was expressed using mean and standard deviations in common logarithmic function based on the types of LN (SNL and MLN), time of exposure (harvesting days). Mixed effect Poisson regression and t-test were used to determine mean logarithm of count among pens, types of samples (LNs) and day of harvest at 95% CI, where (p &lt; 0.05) was considered as significant association.</p></sec></sec><sec id="s3"><title>3. Result and Discussions</title><sec id="s3_1"><title>3.1. Load of Salmonella in Lymph Nodes of the Study Animals</title><p>The study demonstrated a shift in load of Salmonella in LNs due to the influence of supplementation EM. Higher load of Salmonella was observed in both MLN and SLNs from cattle in the control group than in those had been supplemented with EM. Variation in Salmonella mean load among all risk factors were absorbed with the statistical significance associated with treatment of (EM), with the mean load of 2.14log &#177; 1.8 (t = 6.35; p = 0.000; 95% CI = 1.97 - 3.85) in MLNs. Whereas 1.29log &#177; 1.8 (t = 3.46; p = 0.0004; 95% CI = 0.55 - 2.04) difference were observed in EM treated animals in SLNs (<xref ref-type="table" rid="table1">Table 1</xref>).</p><sec id="s3_1_1"><title>3.1.1. The Load of Salmonella in Mesenteric Lymph Node (MLN)</title><p>Significant interaction was observed across three categories of days between load and slaughter day on a cfu/25g of lymph node basis with the mean difference of (1.64log &#177; 1.9; 95% CI = 0.26, 3.02; t = 2.40; p = 0.01), (2.22 &#177; 1.9; 95% CI = 0.91, 3.53, t = 3.44, p = 0.001), (0.7 &#177; 1.6; 95% CI = 1.7, 3.38, t = 6.09, p = 0.000) on the 90<sup>th</sup> day, 100<sup>th</sup> day and 115<sup>th</sup> days respectively (see <xref ref-type="table" rid="table2">Table 2</xref>). Among all considered risk factors pen (treatment), time (duration of treatment), and age of animals reveals significant difference in reduction of Salmonella load (see<xref ref-type="table" rid="table3">Table 3</xref>). The interaction of Lactobacillus acidophilus with pathogenic bacteria specific to MLNwas not well documented. This direct us to former hypotheses on potential</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The total Salmonella mean Log<sub>10</sub> cfu/25g difference among the study groups (pen)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Treatment and Types of LNs*</th><th align="center" valign="middle" >X &#177; SD</th><th align="center" valign="middle" >t-value</th><th align="center" valign="middle" >p-value</th><th align="center" valign="middle" >95% CI</th></tr></thead><tr><td align="center" valign="middle" >Mesenteric LNs*</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Load of Salmonella in Control</td><td align="center" valign="middle" >2.78 &#177; 2.2</td><td align="center" valign="middle" >6.35</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >1.97 - 3.58</td></tr><tr><td align="center" valign="middle" >Load of Salmonella in Treatment</td><td align="center" valign="middle" >0.64 &#177; 1.4</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.36 - 0.92</td></tr><tr><td align="center" valign="middle" >Mean Load Difference</td><td align="center" valign="middle" >2.14 &#177; 1.8</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >1.47 - 2.80</td></tr><tr><td align="center" valign="middle" >Subiliac LNs*</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Load of Salmonella in Control</td><td align="center" valign="middle" >2.26 &#177; 2.1</td><td align="center" valign="middle" >3.46</td><td align="center" valign="middle" >0.0004</td><td align="center" valign="middle" >1.46 - 3.07</td></tr><tr><td align="center" valign="middle" >Load of Salmonella in Treatment</td><td align="center" valign="middle" >0.97 &#177; 1.6</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.63 - 1.29</td></tr><tr><td align="center" valign="middle" >Mean Load Difference</td><td align="center" valign="middle" >1.29 &#177; 1.8</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.55 - 2.04</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Effect feeding EM on Salmonella reduction in mean Log<sub>10</sub> cfu/25g across time in mesenteric LN</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >90 days</th><th align="center" valign="middle" >100 days</th><th align="center" valign="middle" >115 Days</th></tr></thead><tr><td align="center" valign="middle" >Mean Load of Salmonella (Control)</td><td align="center" valign="middle" >2.78 &#177; 2.08 [1.17 - 4.38]</td><td align="center" valign="middle" >2.96 &#177; 2.2 [1.25 - 4.67]</td><td align="center" valign="middle" >2.64 &#177; 2.3 [1.15 - 4.12]</td></tr><tr><td align="center" valign="middle" >Mean Load of Salmonella (Treatment)</td><td align="center" valign="middle" >1.13 &#177; 1.7 [0.51 - 1.75]</td><td align="center" valign="middle" >0.74 &#177; 1.5 [0.17 - 1.30]</td><td align="center" valign="middle" >0.09 &#177; 0.5[−0.1 - 0.3]</td></tr><tr><td align="center" valign="middle" >Mean Difference of Salmonella *CFU/LN</td><td align="center" valign="middle" >1.64 &#177; 1.9 [0.26 - 3.02]</td><td align="center" valign="middle" >2.22 &#177; 1.9 [0.91 - 3.53]</td><td align="center" valign="middle" >0.7 &#177; 1.6 [0.2 - 1.2]</td></tr><tr><td align="center" valign="middle" >t-Value</td><td align="center" valign="middle" >2.40</td><td align="center" valign="middle" >3.44</td><td align="center" valign="middle" >6.09</td></tr><tr><td align="center" valign="middle" >p = Value</td><td align="center" valign="middle" >0.011</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.000</td></tr></tbody></table></table-wrap><p>*CFU = Colony Forming Unit, LN = Lymph Node.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> The Salmonella mean Log<sub>10</sub> cfu*/node deference across risk factors for MLNs** in mixed effect</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Mean Difference</th><th align="center" valign="middle" >Z-value</th><th align="center" valign="middle" >P &gt; |Z|</th><th align="center" valign="middle" >95% CI</th><th align="center" valign="middle" >Wald test</th></tr></thead><tr><td align="center" valign="middle" >Pen</td><td align="center" valign="middle" >1.34 &#177; 0.18</td><td align="center" valign="middle" >−7.52</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.99 - 1.69</td><td align="center" valign="middle" >111.8</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >0.11 &#177; 0.02</td><td align="center" valign="middle" >5.44</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.071 - 0.151</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Body Condition</td><td align="center" valign="middle" >0.013 &#177; 0.028</td><td align="center" valign="middle" >−0.49</td><td align="center" valign="middle" >0.627</td><td align="center" valign="middle" >0.067 - 0.041</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Source</td><td align="center" valign="middle" >0.19 &#177; 0.195</td><td align="center" valign="middle" >−0.97</td><td align="center" valign="middle" >0.332</td><td align="center" valign="middle" >0.19 - 0.57</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Weight</td><td align="center" valign="middle" >0.033 &#177; 0.021</td><td align="center" valign="middle" >−1.57</td><td align="center" valign="middle" >0.117</td><td align="center" valign="middle" >0.008 - 0.075</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Time</td><td align="center" valign="middle" >0.093 &#177; 0.02</td><td align="center" valign="middle" >−4.6</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.53 - 0.133</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>*Colony Forming Unit; **Mesenteric Lymph Node.</p><p>modes of action for Lactobacillus including production of antimicrobial compounds [<xref ref-type="bibr" rid="scirp.121105-ref23">23</xref>], reduction of gut pH by stimulating the lactic acid producing microflora [<xref ref-type="bibr" rid="scirp.121105-ref24">24</xref>], competition for binding of receptor sites that pathogens occupy [<xref ref-type="bibr" rid="scirp.121105-ref25">25</xref>], stimulation of immunomodulatory cells [<xref ref-type="bibr" rid="scirp.121105-ref26">26</xref>]. [<xref ref-type="bibr" rid="scirp.121105-ref27">27</xref>] supports this observation by indicating that many strains of Lactobacillus are capable of eliciting different immune responses; from enhanced epithelial resistance to increased antibody production and competition with pathogens for available nutrients [<xref ref-type="bibr" rid="scirp.121105-ref26">26</xref>]. [<xref ref-type="bibr" rid="scirp.121105-ref28">28</xref>] reported that the supplementation of EM in poultry feed improved the health status of the birds and that might be attributed to the colonization of chicken intestinal tract by Lactic acid bacteria which controls the population of pathogenic microorganisms such as Salmonella, Enterococci and E. coli spp. The study on rat model in Nigeria, reported by [<xref ref-type="bibr" rid="scirp.121105-ref29">29</xref>], by histopathological analysis confirmed the protective effect of the lactobacillus. The protection of the GIT was observed in rats treated with Lactobacillus, where the villus patterns of the small intestine of the rats were well preserved and count of enterobacteria were substantially reduced in the faces of rat model.</p></sec><sec id="s3_1_2"><title>3.1.2. The Load of Salmonella in Sub-iliac Lymph Node (SLN)</title><p>The Salmonella load reduction by 1.34log<sub>10</sub> cfu/25g in SLN was attributable to the supplementation of EM to the diet of beef cattle (see<xref ref-type="table" rid="table1">Table 1</xref>). The interactions were observed between load and slaughter day on a cfu/25g lymph node basis in the control and those had been supplemented with EM during the study period on the 90, 100 and 115<sup>th</sup> days of slaughtering with the mean difference (0.96 &#177; 0.73; 95% CI = 0.51, 2.44; t = 1.32 and p = 0.09), (1.75 &#177; 0.70, 95% CI = 0.33, 3.17; t = 2.5; p = 0.008) and (1.28 &#177; 0.53, 95% CI = 0.21, 2.35; t = 2.41 p = 0.009) log<sub>10</sub> cfu/25g lymph node respectively (see<xref ref-type="table" rid="table4">Table 4</xref>). Among all considered risk factors pen (treatment) and time (slaughter days), reveals significant difference in reduction of Salmonella load (see<xref ref-type="table" rid="table5">Table 5</xref>). The trend in reduction of Salmonella in log<sub>10</sub> in the current study is in agreement with [<xref ref-type="bibr" rid="scirp.121105-ref30">30</xref>] reported 2.78 log<sub>10</sub> in USA of course the only published document in this regard up to the point of organizing this manuscript. Beyond the reduction trend, for the magnitude</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Effect feeding EM on Salmonella reduction in log cfu/25g across time in sub-iliac LNs</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >90 days</th><th align="center" valign="middle" >100 days</th><th align="center" valign="middle" >115 Days</th></tr></thead><tr><td align="center" valign="middle" >Mean Load of Salmonella (Control)</td><td align="center" valign="middle" >2.34 &#177; 2.2 [0.63 - 4.05]</td><td align="center" valign="middle" >2.79 &#177; 2.1 [1.17 - 4.39]</td><td align="center" valign="middle" >1.80 &#177; 2.2 [0.39 - 3.22]</td></tr><tr><td align="center" valign="middle" >Mean Load of Salmonella (Treatment)</td><td align="center" valign="middle" >1.38 &#177; 1.8 [0.72 - 2.04]</td><td align="center" valign="middle" >1.03 &#177; 1.8 [0.38 - 1.69]</td><td align="center" valign="middle" >0.52 &#177; 1.3 [0.08 - 0.97]</td></tr><tr><td align="center" valign="middle" >Mean Difference of Salmonella CFU/LN</td><td align="center" valign="middle" >0.96 &#177; 1.9 [−0.51 - 2.44]</td><td align="center" valign="middle" >1.75 &#177; 1.9 [0.33 - 3.17]</td><td align="center" valign="middle" >1.28 &#177; 1.6 [0.21 - 2.34]</td></tr><tr><td align="center" valign="middle" >t-Value</td><td align="center" valign="middle" >1.32</td><td align="center" valign="middle" >2.49</td><td align="center" valign="middle" >2.41</td></tr><tr><td align="center" valign="middle" >p = Value</td><td align="center" valign="middle" >0.097</td><td align="center" valign="middle" >0.01</td><td align="center" valign="middle" >0.009</td></tr></tbody></table></table-wrap><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> The Salmonella mean Log<sub>10</sub> cfu/node difference across risk factors for SLN in mixed effect</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Mean Difference</th><th align="center" valign="middle" >Z-value</th><th align="center" valign="middle" >P &gt; |Z|</th><th align="center" valign="middle" >95% CI</th><th align="center" valign="middle" >Wald test</th></tr></thead><tr><td align="center" valign="middle" >Pen</td><td align="center" valign="middle" >0.80 &#177; 0.17</td><td align="center" valign="middle" >−5.00</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.475 - 1.13</td><td align="center" valign="middle" >54.43</td></tr><tr><td align="center" valign="middle" >Age</td><td align="center" valign="middle" >0.040 &#177; 0.22</td><td align="center" valign="middle" >1.90</td><td align="center" valign="middle" >0.066</td><td align="center" valign="middle" >0.003 - 0.084</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Body Condition</td><td align="center" valign="middle" >0.083 &#177; 0.037</td><td align="center" valign="middle" >−2.27</td><td align="center" valign="middle" >0.025</td><td align="center" valign="middle" >0.011 - 0.156</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Source</td><td align="center" valign="middle" >0.196 &#177; 0.178</td><td align="center" valign="middle" >−1.15</td><td align="center" valign="middle" >0.27</td><td align="center" valign="middle" >0.152 - 0.544</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Weight</td><td align="center" valign="middle" >0.036 &#177; 0.019</td><td align="center" valign="middle" >−1.78</td><td align="center" valign="middle" >0.069</td><td align="center" valign="middle" >0.003 - 0.074</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Time</td><td align="center" valign="middle" >0.064 &#177; 0.018</td><td align="center" valign="middle" >−3.47</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.03 - 0.098</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>difference between the studies it is also important to consider the differences between the studies as far as sample size cattle breed and management protocol of the farms involved in the study.</p></sec></sec></sec><sec id="s4"><title>4. Conclusions and Recommendations</title><p>The result of this preliminary study demonstrated that effective microbial supplement in the diet of beef cattle reduced the load of Salmonella in sub-iliac and mesenteric lymph nodes significantly. Thus, result of this study showed the potential of effective microbial supplement in minimizing the contamination of beef withSalmonella organism. However, additional data should be generated to substantiate the result of this study before effective microbial supplement is recommended for wider use.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Mohammed, F., Hiko, A., Yusuf, Y., Yusuf, J. and Ebro, M.M. (2022) Evaluating the Effective Microbial Supplementation of Feed on the Load of Salmonella in Two Lymph Nodes of Beef Cattle in Eastern Ethiopia. Agricultural Sciences, 13, 1223-1233. https://doi.org/10.4236/as.2022.1311075</p></sec></body><back><ref-list><title>References</title><ref id="scirp.121105-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">FAO (Food and Agriculture Organization of the United Nations) (2006) Food Safety Risk Analysis: A Guide for National Food Safety Authorities. FAO Food and Nutrition Paper-87, FAO, Rome.</mixed-citation></ref><ref id="scirp.121105-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Riemann, H.P. and Cliver, D.O. (2006) Foodborne Infections and Intoxications. 3rd Edition, Food Science and Technology International Series, Academic Press, Cambridge.</mixed-citation></ref><ref id="scirp.121105-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Ayehu, G., Kassahun, A. and Daniel, H. (2014) Factors Affecting Food Handling Practices among Food Handlers of Dangila Town Food and Drink Establishments, North West Ethiopia. BMC Public Health, 14, Article No. 571.https://doi.org/10.1186/1471-2458-14-571</mixed-citation></ref><ref id="scirp.121105-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Oosterom, J. (1991) Epidemiological Studies and Proposed Preventive Measures in the Fight against Human Salmonellosis. International Journal of Food Microbiology, 12, 41-52. https://doi.org/10.1016/0168-1605(91)90046-R</mixed-citation></ref><ref id="scirp.121105-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Edget, A., Dafnar, N. and Biruhtesfa, A. (2014) Review on Common Foodborne Pathogens in Ethiopia. African Journal of Microbiology Research, 8: 4027-4040.</mixed-citation></ref><ref id="scirp.121105-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Tavakoli, H.R. and Razipour, M. (2008) Microbial Quality of Cooked Meat Foods in Tehran Universities Restaurants. Pakistan Journal of Medical Sciences, 24, 595-599.</mixed-citation></ref><ref id="scirp.121105-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Bean, N.H., Griffin, P.M., Goulding, J.S. and Ivey, C.B. (1990) Foodborne Disease Outbreaks, 5 Year Summary, 1983-1987. Journal of Food Protection, 53, 711-728. https://doi.org/10.4315/0362-028X-53.8.711</mixed-citation></ref><ref id="scirp.121105-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Tesfay, K., Berihun, A., Habtamu, T. and Abrha, B. (2014) Assessment of Bacteriological Quality of Sold Meat in the Butcher Shops of Adigrat, Tigray, Ethiopia. Applied Journal of Hygiene, 3, 38-44.</mixed-citation></ref><ref id="scirp.121105-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Zelalem, A. and Moti, Y. (2015) Food-Borne Bacterial Diseases in Ethiopia. Academic Journal of Nutrition, 4, 62-76.</mixed-citation></ref><ref id="scirp.121105-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">FAO (Food and Agriculture Organization of the United Nations) (2010) FAO Expert Workshop on the Application of Bio Security Measures to Control Salmonella Contamination in Sustainable Aquaculture. FAO Fisheries and Aquaculture Report No. 937, FAO, Rome.</mixed-citation></ref><ref id="scirp.121105-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">FAO (Food and Agricultural Organization) (2016) Intervention for the Control of Non-Thyphoidal Salmonella spp. in Beef and Pork. FAO and WHO Meeting Report and System Review. Microbiological Risk Assessment Series. World Health Organization, Genève.</mixed-citation></ref><ref id="scirp.121105-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Hiko, A., Irsigler, H., Ameni, G., Zessin, H. and Fries, R. (2016) Salmonella Serovars along Two Beef Chains in Ethiopia. The Journal of Infection in Developing Countries, 10, 1168-1176. https://doi.org/10.3855/jidc.6354</mixed-citation></ref><ref id="scirp.121105-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Nyeleti, C., Molla, B., Hildebrand, G. and Kleer, J. (2000) The Prevalence and Distribution of Salmonella in Slaughter Cattle, Slaughter House Personnel and Minced beef in Addis Ababa (Ethiopia). Bulletin of Animal Health and Production in Africa, 48, 19-24.</mixed-citation></ref><ref id="scirp.121105-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Sibhat, B., Molla, BZ., Zerihun, A., Muckle, A., Cole, LA., Boerlin, P., Wilkie, E., Perets, A., Mistry, K. and Gebreyes, W.A. (2009) Salmonella Serovars and Antimicrobial Resistance Profiles in Beef Cattle, Slaughterhouse Personnel and Slaughterhouse Environment in Ethiopia. Zoonoses and Public Health, 58, 102-109. https://doi.org/10.1111/j.1863-2378.2009.01305.x</mixed-citation></ref><ref id="scirp.121105-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Teklu, A. and Negussie, H. (2011) Assessments of Risk Factor and Prevalence of Salmonella in Slaughtered Small Ruminant and Environments in an Export Abattoir, Modjo, Ethiopia. American-Eurasian Journal of Agricultural &amp; Environmental Sciences, 10, 992-999.</mixed-citation></ref><ref id="scirp.121105-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">OBWOA (Oda-Bultum Wereda Office of Agriculture) (2016) Official Document of Annual Plan. Unpublished, OBWOA, Bedessa.</mixed-citation></ref><ref id="scirp.121105-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">WHLFDO (Western Harerghea Livestock and Fisheries Development Office) (2016) Official Document of Zonal Livelihoods and Production System Assessment. Unpublished, WHLFDO, Chiro.</mixed-citation></ref><ref id="scirp.121105-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Suiter, J. (1994) Body Condition Score of Ruminants. Farm Note 69/1995. Department of Agriculture Western Australia, Joondalup.</mixed-citation></ref><ref id="scirp.121105-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">AARD (Alberta Agricultural and Rural Development) (2013) Guidelines for Age Verification in Cattle. Food Safety and Animal Health Division. Animal Health Brunch. AARD, Edmonton.</mixed-citation></ref><ref id="scirp.121105-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Sajjad, Z., Ahmed, M.S. and Abbasi, N.A. (2003) Effects of Phosphorous Level and Effective Microorganisms. Sarhad Journal of Agriculture, 19, 193-197.</mixed-citation></ref><ref id="scirp.121105-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Arsham, H. (2002) Descriptive Sampling Data Analysis. Statistical Thinking for Managerial Decision Making. http://home.ubalt.edu/ntsbarsh/business-stat/stat-data/opre504.htm#rssss</mixed-citation></ref><ref id="scirp.121105-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Gragg, S.E., Loneragan, G.H., Brashears, M.M., Arthur, T.M., Bosilevac, J.M., Kalchayanand, N., Wang, R., Schmidt, J.W., Brooks, J.C., Shackelford, S.D., Wheeler, T.L., Brown, T.R., Edrington, T.S. and Brichta-Harhay, D.M. (2013) Cross-Sectional study Examining Salmonella Enterica Carriage in Subiliac Lymph Nodes of Cull and Feedlot Cattle at Harvest. Foodborne Pathogens and Disease, 10, 368-374.https://doi.org/10.1089/fpd.2012.1275</mixed-citation></ref><ref id="scirp.121105-ref23"><label>23</label><mixed-citation publication-type="book" xlink:type="simple">Dodd, H.M. and Gasson, M.J. (1994) Bacteriocins of Lactic Acid Bacteria. In: Gasson, M.J. and De Vos, W.M., Eds., Genetics and Biotechnology of Lactic Acid Bacteria, Springer, Dordrecht, 211-251. https://doi.org/10.1007/978-94-011-1340-3_5</mixed-citation></ref><ref id="scirp.121105-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Langhendries, J.P., Detry, J., Van Hees, J., Lamboray, J.M., Darimont, J., Mozin, M. J., Secretin, M.C. and Senterre, J. (1995) Effect of a Fermented Infant Formular Containing Viable Bifidobacteria on the Faecal Flora Composition and pH of Healthy Full-Term Infants. Journal of Pediatric Gastroenterology and Nutrition, 21, 177-181. https://doi.org/10.1097/00005176-199508000-00009</mixed-citation></ref><ref id="scirp.121105-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Kailasapathy, K. and Chin, J. (2000) Survival and Therapeutic Potential of Probiotic Organisms with Reference to Lactobacillus acidophilus and Bifidobacterium spp. Immunology &amp; Cell Biology, 78, 80-88. https://doi.org/10.1046/j.1440-1711.2000.00886.x</mixed-citation></ref><ref id="scirp.121105-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Rolfe, R.D. (2000) The Role of Probiotic Cultures in the Control of Gastrointestinal Health. The Journal of Nutrition, 130, 396S-402S. https://doi.org/10.1093/jn/130.2.396S</mixed-citation></ref><ref id="scirp.121105-ref27"><label>27</label><mixed-citation publication-type="book" xlink:type="simple">Demeria, D., Ewaschuk, J. and Madsen, K. (2009) Interactions of Lactobacillus with the Immune System. In: Ljungh, A. and Wadstrom, T., Eds., Lactobacillus Molecular Biology: From Genomics to Probiotics, Caister Academic Press, Norfolk, 139-148.</mixed-citation></ref><ref id="scirp.121105-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Edens, F.W., Parkhurst, C.R., Casas, I.A. and Dobrogosz, W.J. (1997) Principles of Ex Ovo Competitive Exclusion and in Ovo Administration of Lactobacillus reuteri. Poultry Science, 76, 179-196. https://doi.org/10.1093/ps/76.1.179</mixed-citation></ref><ref id="scirp.121105-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Oyetayo, V.O., Adetuyi, F.C. and Akinyosoye, F.A. (2003) Safety and Protective Effect of Lactobacillus acidophilus and Lactobacillus casei Used as Probiotic Agent in Vivo. African Journal of Biotechnology, 2, 448-452.https://doi.org/10.5897/AJB2003.000-1090</mixed-citation></ref><ref id="scirp.121105-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Vipham, J.L. (2015) The Impact of Administration of a Lactobacillus Based Direct-Fed Microbial on the Presence, Concentration, and Ecology of Salmonella enterica in Bovine Subiliac Lymph Nodes. Texas Tech University, Lubbock.</mixed-citation></ref></ref-list></back></article>