scholarly journals Assessment of Raw Cow Milk Quality in Smallholder Dairy Farms in Pemba Island Zanzibar, Tanzania

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
S. H. Gwandu ◽  
H. E. Nonga ◽  
R. H. Mdegela ◽  
A. S. Katakweba ◽  
T. S. Suleiman ◽  
...  
Keyword(s):  
Milk Production ◽  
Dairy Farms ◽  
Physicochemical Characteristics ◽  
Milk Quality ◽  
Cow Milk ◽  
Production Chain ◽  
Milk Samples ◽  
Pemba Island ◽  
Antimicrobial Residues ◽  
Smallholder Dairy Farms

Milk quality depends on the physicochemical characteristics, hygienic standards, and nutritional quality; however, animal husbandry practices, unhygienic harvesting and processing, may affect its quality. A cross-sectional study was conducted between August 2010 and July 2011 to assess the hygiene of cow milk production environment, raw cow milk physicochemical characteristics, and microbial quality and estimate the prevalence of antimicrobial residues using standard methods in Pemba Island. A total of 98 raw cow milk samples from selected smallholder dairy farms were analyzed, and the judgement on the quality used the East African Standards. Generally, the milk production chain was done under the unhygienic condition, and dirty plastic containers were used for collection and storage of milk under room temperature. Some milk samples had abnormal colour (2.1%), abnormal smell (7.1%), and pH below normal (35.7%), clotted on alcohol test (9.2%), and had the specific gravity below normal (13.3%). All the milk samples had mineral contents within the recommended range. Milk samples with butterfat below normal were 29.6%, while 14.3% had total solids below recommended values. The mean total viable count (TVC) of milk container surfaces was9.7±10.5 log CFU/100 cm2, while total coliform count (TCC) was7.8±8.5 log CFU/100 cm2. Up to 55.1% of milk had TVC beyond the recommended levels. The milk mean TVC was11.02±11.6 log CFU/ml and TCC was6.7±7.3 log CFU/ml. Up to 26.5% of milk samples had the TCC beyond levels. Results on physicochemical characteristics and nutritional analysis show that the raw cow milk in Pemba Island is of inferior quality. Microbiological results of this study imply heavy contaminations of milk. Antimicrobial residues were detected in 83% of the samples and most of them were from Wete District. Unhygienic milk production chain accelerates microbial contaminations, and antimicrobial residues in milk are a big problem that needs urgent attention from the responsible authority.

scholarly journals Prevalence of clinical and subclinical mastitis and quality of milk on smallholder dairy farms in Tanzania

2009 ◽  
Vol 80 (3) ◽  
Author(s):  
R.H. Mdegela ◽  
R. Ryoba ◽  
E.D. Karimuribo ◽  
E.J. Phiri ◽  
T. Loken ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Dairy Farms ◽  
Subclinical Mastitis ◽  
Clinical Mastitis ◽  
Milk Quality ◽  
Herd Level ◽  
Milk Samples ◽  
Antimicrobial Residues ◽  
Smallholder Dairy ◽  
Smallholder Dairy Farms

A cross sectional study was conducted during October and November 2006 on 69 smallholder dairy farms with lactating cows in Mvomero and Njombe districts Tanzania, to determine the prevalence of mastitis and to assess the milk quality on the study farms. Clinical mastitis was investigated using clinical changes of udder and milk at animal level. Cow-side California Mastitis Test (CMT) and microbiological cultures were used to assess subclinical mastitis at quarter level. Milk quality was determined on bulk milk samples at herd level using alcohol and acidity tests, butter fat content, total solids, ash content as well as Delvotest® for antimicrobial residues. Overall prevalence of clinical mastitis at herd level in both districts was 21.7 % (n = 69). Based on CMT, prevalence of subclinical mastitis at animal level was 51.6 % (n = 91). Prevalence of bacterial isolates at animal level was 35.2 % (n = 91) while for fungal it was 16.7 % (n = 90). Based on CMT results, prevalence of subclinical mastitis at quarter level was 30 % (n = 353), while for bacteria and fungi it was 16 % and 6 % respectively. Contamination of milk with antimicrobial residues was 4.5 % (n =67). The milk quality parameters for most of the milk samples were within acceptable levels. Findings in this study have demonstrated high prevalence of subclinical mastitis that may contribute to low productivity of dairy cattle in both districts. About 20 % of CMT subclinical cases had no involvement of microbial pathogens that suggested the need for minimal interventions with antimicrobial agents. These findings call for use of udder disinfectants and improved milking hygiene as intervention strategies to control mastitis on the smallholder dairy farms in Tanzania.

scholarly journals Effects of rations and seasons on milk yield and composition in small and medium dairy farms from a Tunisian northern area (Bizerte Region)

Mljekarstvo ◽  
2021 ◽  
Vol 71 (3) ◽  
pp. 194-203
Author(s):  
Khaoula Attia ◽  
Keyword(s):  
Protein Content ◽  
Milk Production ◽  
Milk Yield ◽  
Dairy Farms ◽  
Physicochemical Characteristics ◽  
Fat Content ◽  
Milk Quality ◽  
The Other ◽  
Northern Area ◽  
Autumn And Winter

In Tunisia, dairy farming faced several problems limiting the improvement of the milk sector, mostly at the level of small farmers. These difficulties are related to the milk quality affected by the feed quality distributed throughout the year. This study aimed to evaluate the effect of rations and seasons on daily individual milk production (DIMP) and some physicochemical characteristics (Fat content: FC, Protein content: PC, Urea concentration: UC, Total Solids: TS). A survey and milk samplings were performed on 135 farmers. Collected data were treated by the variance analysis using the GLM procedure of the SAS system. This study allowed to identify four types of ration: TR1: Concentrate (CC)+Green Forage(GF), TR2: CC+Dry Forage (DF), TR3: CC+GF+DF and TR4: Diet containing Silage (S), used by farmers with the frequencies of 14.82, 37.19, 44.6 and 3.38 % respectively. The highest DIMP (P<0.0001) was obtained by TR1 (17.3 kg/day) and the lowest (13.6 kg/day) by TR2. TR4 allowed FC, PC (P<0.05) and TS (P<0.01) higher (3.84, 3.14 and 12.31 % respectively) than those obtained in the other rations. The UC (P<0.0001) was the highest in TR1 and TR3 (32.05 mg/dL) followed by TR4 (28.3 mg/dL) and TR2 (26.2 mg/dL). Concerning the season effect, the highest DIMP (P<0.0001) was obtained during spring (17.7 kg/day), the lowest was during autumn (13.1 kg/day). The FC (P<0.05) was the lowest in winter (3.52 %). The PC (P<0.01) was higher during autumn and winter (averaged 3.07 %). The UC (P<0.0001) was the highest in spring (32.23 mg/dL) and the lowest in autumn (25.67 mg/dL). It was concluded that milk parameters were in the acceptable ranges comparatively to the national averages.

Occurrence of aflatoxin M1 in bovine milk and associated risk factors among dairy farms of Punjab, India

2021 ◽  
pp. 1-10
Author(s):  
H. Thukral ◽  
P. Dhaka ◽  
J. Singh Bedi ◽  
R. Singh Aulakh
Keyword(s):  
Risk Factors ◽  
European Union ◽  
Bovine Milk ◽  
Dairy Farms ◽  
Buffalo Milk ◽  
Cow Milk ◽  
Milk Samples ◽  
Significant Difference ◽  
Associated Risk Factors ◽  
Mean Concentration

Aflatoxin M1 (AFM1) contamination in milk and milk products may pose a major public health concern. The present cross-sectional study was aimed to estimate the prevalence of AFM1 in bovine milk across all districts of Punjab, India and to identify the associated animal and farm level risk factors. A total of 402 milk samples (266 cow milk and 136 buffalo milk) were analysed using commercial ELISA and representative samples were confirmed using HPLC-FLD. The results revealed that 56.2 and 13.4% of the milk samples exceeded the maximum levels of the European Union, i.e. 0.05 μg/l and Food Safety and Standards Authority of India (FSSAI), i.e. 0.5 μg/l for AFM1 in milk, respectively. On analysis of species variation, buffalo milk (prevalence: 56.6%; mean concentration: 0.42±0.9 μg/l) was found to have higher AFM1 levels than cow milk (prevalence: 56.0%; mean concentration: 0.19±0.3 μg/l), with statistically significant difference between mean concentrations (P<0.01) and non-significant difference between AFM1 prevalence (P=0.91). Furthermore, milk from commercial dairy farms (prevalence: 64.7%; mean concentration: 0.34±0.65 μg/l) was found to be more contaminated than from household dairy establishments (prevalence: 47.8%; mean concentration: 0.19±0.65 μg/l). The risk factors ‘above average milk yield/day’ (odds ratio (OR): 2.4) and ‘poor animal hygiene’ (OR: 1.9) were identified at animal level, and ‘intensive dairy farming’ (OR: 3.1) and ‘animal feed without aflatoxin binder’ (OR: 4.7) as farm level risk factors for AFM1 excretion above maximum levels of European Union in milk. Among cow breeds, the milk from ‘non-descript’ breed (OR: 11.5) was found to be most contaminated with AFM1 and the least from Jersey breed (OR: 1.0). The present study highlighted the presence of AFM1 in milk samples; therefore, regular monitoring of AFM1 in milk is required so that high risk regions and associated risk factors can be addressed appropriately.

scholarly journals Análisis de la calidad de la leche en un modelo microeconómico multi-output: El papel de la genética

2011 ◽  
Vol 5 (10) ◽  
pp. 3 ◽  
Author(s):  
Antonio Álvarez ◽  
Carlos Arias ◽  
David Roibás
Keyword(s):  
Panel Data ◽  
Milk Production ◽  
Distance Function ◽  
Dairy Farms ◽  
Milk Quality ◽  
Production Model ◽  
Genetic Traits

In this paper we analyze the influence of genetics on milk quality. For that purpose, we use a multi-output production model in which milk quality is included as an additional output in milk production. A distance function is used to estimate empirically the contribution of genetics to milk quality. For that purpose, we use a panel data of 96 dairy farms in Asturias. This dataset contains indexes measuring the genetic traits of the herd.

Effect of feeding oat and vetch forages on milk production and quality in smallholder dairy farms in Central Kenya

2018 ◽  
Vol 50 (5) ◽  
pp. 1051-1057 ◽  
Author(s):  
Solomon W. Mwendia ◽  
Chris M. Mwungu ◽  
Stanley Karanja Ng’ang’a ◽  
David Njenga ◽  
An Notenbaert
Keyword(s):  
Milk Production ◽  
Dairy Farms ◽  
Smallholder Dairy ◽  
Effect Of Feeding ◽  
Central Kenya ◽  
Smallholder Dairy Farms

scholarly journals Variation in the carbon footprint of milk production on smallholder dairy farms in central Kenya

2020 ◽  
Vol 265 ◽  
pp. 121780
Author(s):  
Andreas Wilkes ◽  
Shimels Wassie ◽  
Charles Odhong’ ◽  
Simon Fraval ◽  
Suzanne van Dijk
Keyword(s):  
Milk Production ◽  
Carbon Footprint ◽  
Dairy Farms ◽  
Smallholder Dairy ◽  
Central Kenya ◽  
Smallholder Dairy Farms

scholarly journals Effects of Calliandra and Sesbania on Daily Milk Production in Dairy Cows on Commercial Smallholder Farms in Kenya

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
D. N. Makau ◽  
J. A. VanLeeuwen ◽  
G. K. Gitau ◽  
S. L. McKenna ◽  
C. Walton ◽  
...  
Keyword(s):  
Milk Production ◽  
Dairy Farms ◽  
Protein Supplementation ◽  
Smallholder Farms ◽  
Study Objective ◽  
Final Model ◽  
Smallholder Dairy ◽  
Daily Milk Production ◽  
Daily Milk ◽  
Smallholder Dairy Farms

There is a growing interest in protein supplementation of dairy-cow diets using leguminous shrubs. The study objective was to ascertain the association between diet supplementation with Calliandra calothyrsus and Sesbania sesban and milk production in dairy cattle on commercial smallholder farms. This trial involved 235 cows from 80 smallholder dairy farms in Kenya randomly allocated to 4 intervention groups: (1) receiving Calliandra and Sesbania and nutritional advice; (2) receiving reproductive medicines and advice; (3) receiving both group 1 and 2 interventions; and (4) receiving neither intervention. Farm nutritional practices and management data were collected in a questionnaire, and subsequent physical examinations, mastitis tests, and milk production of cows on the farm were monitored approximately monthly for 16 months. Descriptive and univariable statistical analyses were conducted, and multivariable mixed-model regression was used for identification of factors associated (P<0.05) with daily milk production. The mean milk production was 6.39 liters/cow/day (SD = 3.5). Feeding Calliandra/Sesbania to cows was associated (P<0.0005) with an increase in milk produced by at least 1 liter/cow/day with each kg fed. Other variables positively associated with ln daily milk production in the final model included feeding of Napier grass, amount of silage and dairy meal fed, body condition score, and appetite of the cow. Other variables negatively associated with ln daily milk production in the final model included amount of maize germ fed, days in milk, sudden feed changes, pregnancy, and subclinical mastitis. In conclusion, our field trial data suggest that use of Calliandra/Sesbania through agroforestry can improve milk production in commercial smallholder dairy farms in Kenya. Agroforestry land use systems can be adopted as a way for dairy farmers to cope with feed shortages and low crude protein in farm-available feeds for their cows.

scholarly journals Study on the Work Organization at Dairy Farms

2003 ◽  
pp. 293-296
Author(s):  
András Vántus
Keyword(s):  
European Union ◽  
Milk Production ◽  
Work Organization ◽  
Work Productivity ◽  
Work Force ◽  
Dairy Farms ◽  
Milk Quality ◽  
The European Union ◽  
Family Farms ◽  
General Feeling

Joining the European Union Hungarian producers have advantages but they need to solve some problems too. Only those producers can compete who will be able to produce extra quality milk. However the circumstances of milk production are not up to the task.The author examined the work organization of 7 dairy farms in Hajdú-Bihar County. Data were collected about the situation of farms, equipment of barns, objets of production, work force, qualification of workers, and productivity of work. He examined the applied motivation methods at farms. He concluded that as the number of cows per farm increases work productivity increases too. From the examination it appeared that family farms applied different motivation system from bigger producer organizations. The author put forward proposals for motivation possibilities to improve milk quality, atmosphere, and general feeling of workers.

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