scholarly journals Risk factors associated with the post-harvest loss of milk along camel milk value chain in Isiolo County, Kenya

2016 ◽  
Vol 11 (8) ◽  
pp. 674-682 ◽  
Author(s):  
N O Odongo ◽  
P O Lamuka ◽  
J W Matofari ◽  
G O Abong
Keyword(s):  
Risk Factors ◽  
Value Chain ◽  
Camel Milk ◽  
Factors Associated ◽  
Post Harvest ◽  
Post Harvest Loss ◽  
Milk Value Chain ◽  
Isiolo County

scholarly journals Physicochemical and Microbiological Post-Harvest Losses of Camel Milk Along the Camel Milk Value Chain in Isiolo, Kenya

2016 ◽  
Vol 4 (2) ◽  
pp. 80-89 ◽  
Author(s):  
Nicanor Odongo ◽  
Peter Lamuka ◽  
George Abong ◽  
Joseph Matofari ◽  
Khalif Abey
Keyword(s):  
Staphylococcus Aureus ◽  
Value Chain ◽  
Microbiological Quality ◽  
Viable Count ◽  
Camel Milk ◽  
Total Viable Count ◽  
Microbial Counts ◽  
Post Harvest ◽  
The Mean ◽  
Milk Value Chain

Camel milk value chain experiences a lot of constrains which are likely to leads to high post-harvest losses due to physicochemical and microbiological changes. However, the magnitude of these quality and quantity losses have not been quantified. The objective of this study was to quantify these losses at different stages along the camel milk value chain. The study established the mean pH along the Isiolo value chain to range from 6.5 to 6.6 and did not show significant (p>0.05) difference along the chain. The percentage lactic acid ranged from 1.63 to 2.07 and showed significant (p<0.05) different along the chain. 3.57% and 4.76% of milk at delivered at bulking/cooling hub in Isiolo town and terminal market at Eastleighin Nairobi,respectively, failed alcohol test. Total viable count (TVC) showed the highest count along the chain (1.78x106 to 8.1x108) while Staphylococcus aureus showed the lowest count along the chain (1.3x104 to 2.0x106). Generally the microbial counts increased along the chain. This could be due to the longer withholding time of the milk at the various points along the chain. More milk was lost due to Total viable count standard than coliform counts standard, 100% of milk at the terminal Eastleigh market, Nairobi were rejected due to TVC while 92.5% rejected due to coliform counts. Camel milk value chain was therefore shown to be of poor microbiological quality which results to a lot of milk post-harvest losses.

scholarly journals Prevalence, Risk Factors Associated with Brucellosis and Presence of Pathogenic Bacteria Isolated from Camel Milk in Garissa County, Kenya

2020 ◽  
pp. 42-52
Author(s):  
M. Noor ◽  
V. Rotich ◽  
J. W. Kiarie ◽  
K. Cheruiyot ◽  
J. M. Kagira
Keyword(s):  
Risk Factors ◽  
Pathogenic Bacteria ◽  
Control Strategies ◽  
Raw Milk ◽  
Camel Milk ◽  
Ring Test ◽  
Salmonella Spp ◽  
Cross Sectional ◽  
Factors Associated ◽  
Milk Samples

Aim: The current study was undertaken to assess the prevalence, risk factors of brucellosis and presence of pathogenic bacteria isolated from camel milk in Garrisa County, Kenya. Methodology: The study design was cross-sectional where questionnaires were administered to farmers to assess the risk factors associated with brucellosis. The experimental study was also employed to identify bacteria in milk samples which were collected from 104 camels. Fifty milk samples were obtained from local farms while 54 were from sales point at Garissa market. Further test for brucellosis using milk ring test was also carried out. Results: The overall prevalence of brucellosis in camel milk was 8%. Most (12.5%) of the positive samples were from Dadaab Sub-county while the rest of the positive samples were from Fafi (5.9%) and Balambala (5.9%) sub-counties. All the 54 samples obtained from Garissa market were negative of brucellosis. Of the total (118) bacteria isolates, those from the farm level were 68.6% and from market were 31.2%. The bacteria isolated from the 104 milk samples were Pseudomonas spp. (32.2%), Salmonella spp. (30.5%), Staphylococcus spp (21.2%), Eschericia coli (8.5%) and Shigella spp. (7.6%). The risk factors that significantly (p<0.05) associated brucellosis were: age of lactating camels (higher in camels aged above 20 years), herd size (higher in camels from herd sizes of between 30-50 camels) and herding of camels with other livestock (higher in camels kept with other livestock). Conclusion: In conclusion, a few milk samples from camels in Garissa County were found to have brucellosis and were heavily infected with bacteria which can cause mastitis. Considering that most people in the study area drank raw milk, spread of these bacteria to man is a high possibility and thus animal and public health officers should implement one health disease control strategies.

scholarly journals Camel milk value chain in Northern Saudi Arabia

2014 ◽  
Vol 26 (4) ◽  
pp. 359 ◽  
Author(s):  
Bernard Faye ◽  
br br ◽  
Hassani ElRouili
Keyword(s):  
Saudi Arabia ◽  
Value Chain ◽  
Camel Milk ◽  
Milk Value Chain

scholarly journals Marketing Margin Assesment Of Off-Season Vegetables Value Chain In Surkhetdailekh Road Corridor

2013 ◽  
Vol 13 ◽  
pp. 27-31
Author(s):  
Prabin Poudel
Keyword(s):  
Value Chain ◽  
Profit Margin ◽  
Post Harvest ◽  
Agriculture And Environment ◽  
Cost Of Production ◽  
Post Harvest Loss ◽  
Postharvest Loss ◽  
Collection Point ◽  
Common Perception

A study was carried out to identify structural causes of marketing margin for off-season vegetables value chain in a part of Surkhet-Dailekh road corridor during July to August 2011. Cost of production and producer's price were calculated at collection point of Bubairakhe in Goganpani VDC of Surket, and consumer's price observed at 30km far end market in Birndranagar municipalty of Surkhet. From the result of study, the marketing margin found doubled in all types of off-season vegetables value chain. The share of postharvest loss observed first most important factor for higher marketing margin, in tomato 42 percent and cauliflower 37 percent. However, it found third important factor in cabbage 28 percent. The profit margin kept by value chain actors, with contrasting in common perception, observed second important factor for increasing marketing margin in tomato 31 percent, cauliflower 28 percent and cabbage 44 percent. Hence, apposite attempts to reduce post-harvest loss in off-season vegetables value chain might be an important way for reducing marketing margin in off-season vegetables value chain. The Journal of Agriculture and Environment Vol:13, Jun.2012, Page 27-31 DOI: http://dx.doi.org/10.3126/aej.v13i0.7584

Risk factors associated with substance use

2014 ◽  
Author(s):  
Ariel M. Barber ◽  
Alexandra Crouch ◽  
Stephen Campbell
Keyword(s):  
Risk Factors ◽  
Substance Use ◽  
Factors Associated

A Six Year Prospective Study of Fibrinogen and Other Risk Factors Associated with Mortality in Stable Claudicants

1992 ◽  
Vol 68 (03) ◽  
pp. 261-263 ◽  
Author(s):  
A K Banerjee ◽  
J Pearson ◽  
E L Gilliland ◽  
D Goss ◽  
J D Lewis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intermittent Claudication ◽  
Fibrinogen Level ◽  
Past History ◽  
Fold Increase ◽  
Arterial Disease ◽  
Plasma Fibrinogen ◽  
Plasma Fibrinogen Level ◽  
Factors Associated ◽  
Probability Of Death

SummaryA total of 333 patients with stable intermittent claudication at recruitment were followed up for 6 years to determine risk factors associated with subsequent mortality. Cardiovascular diseases were the underlying cause of death in 78% of the 114 patients who died. The strongest independent predictor of death during the follow-up period was the plasma fibrinogen level, an increase of 1 g/l being associated with a nearly two-fold increase in the probability of death within the next 6 years. Age, low ankle/brachial pressure index and a past history of myocardial infarction also increased the probability of death during the study period. The plasma fibrinogen level is a valuable index of those patients with stable intermittent claudication at high risk of early mortality. The results also provide further evidence for the involvement of fibrinogen in the pathogenesis of arterial disease.

Risk factors associated with primary and secondary reduced libido in male patients with sexual dysfunction

2013 ◽  
Author(s):  
Giovanni Corona ◽  
Giulia Rastrelli ◽  
Emmanuele Jannini ◽  
Linda Vignozzi ◽  
Edoardo Mannucci ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sexual Dysfunction ◽  
Factors Associated ◽  
Male Patients
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