scholarly journals Iodine content in bulk tank milk samples in relation to dairy farm size

2014 ◽  
Vol 83 (10) ◽  
pp. S9-S13 ◽  
Author(s):  
Lenka Vorlová ◽  
Lucia Hodulová ◽  
Ivana Borkovcová ◽  
Hana Přidalová ◽  
Romana Kostrhounová ◽  
...  
Keyword(s):  
Dairy Farm ◽  
Iodine Content ◽  
Dairy Farms ◽  
Raw Milk ◽  
Farm Size ◽  
Milk Samples ◽  
Significant Difference ◽  
Organic Dairy ◽  
Bulk Tank ◽  
Organic Dairy Farms

The aim of this study was to compare the iodine content in raw milk from organic and conventional dairy farms of different sizes. Milk samples were collected between 2012 and 2013, and the iodine content was determined by a Sandell-Kolthoff reaction after dry alkaline digestion of the milk samples. Comparing the iodine content in raw milk samples from small sized dairy farms (116.76 ± 46.29 μg/l) and large sized dairy farms (173.70 ± 35.42 μg/l), a significant difference in iodine content was observed (P ≤ 0.05). The lowest values were found in small and medium dairy farms, 45.30 μg/l and 40.46 μg/l, respectively. High variability (112.92 ± 94.74 μg/l) in the iodine content was detected in raw milk from medium sized dairy farms. When considering milk samples from organic dairy farms (119.29 μg /l ± 40.37) vs. conventional dairy farms (136.55 μg/l ± 42.91), no significant difference was detected. These results indicate higher iodine content in milk from large dairy farms regardless of conventional or organic farming methods.

scholarly journals What Makes an Organic Dairy Farm Profitable in the United States? Evidence from 10 Years of Farm Level Data in Vermont

Agriculture ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Jonathan Walsh ◽  
Robert Parsons ◽  
Qingbin Wang ◽  
David Conner
Keyword(s):  
Fixed Effects ◽  
Dairy Farm ◽  
Dairy Farms ◽  
The United States ◽  
Farm Size ◽  
Key Factors ◽  
Organic Farm ◽  
Organic Dairy ◽  
Farm Profitability ◽  
Organic Dairy Farms

Many U.S. dairy farms, especially small farms, are struggling to stay in business due to difficult economic conditions. While switching to organic milk production has been identified as one way to improve farm profitability, there are very limited economic data available on organic dairy profitability and the key factors contributing to its variation among organic dairy farms. This study analyzes a 10-year longitudinal dataset of Vermont organic dairy farms (2006–2016), collected by the University of Vermont Extension, to identify key factors influencing farm profitability and quantify their impact on farm return on assets (ROA) through a multivariate fixed-effects regression model. Results suggest that significant factors for organic farm profitability measured by ROA include feeding management, farm management, farm size, milk price and input costs. Such findings may help many organic dairy farms identify potential areas for improving their profitability and conventional farms evaluate the potential financial benefits of switching to organic operation.

scholarly journals Microbiological quality of bulk tank raw milk from two dairy farms in Hajdú-Bihar County, Hungary

2018 ◽  
pp. 105-112
Author(s):  
Benjamin Kojo Woode ◽  
Flóra Petróczki ◽  
Béla Béri ◽  
Ferenc Peles
Keyword(s):  
Staphylococcus Aureus ◽  
Dairy Farms ◽  
Raw Milk ◽  
Plate Count ◽  
Milk Samples ◽  
Total Plate Count ◽  
Significant Difference ◽  
The Mean ◽  
Bulk Tank

Two main channels have been identified to be responsible for microbiological contamination of raw milk and milk products. Firstly, contamination has occurred due to udder infection from the cow or the blood which harbours most bacteria that come in contact with the raw milk. Secondly, via external factors (may include faeces, skin, contaminated water, environment etc.) which are associated with the operation of milking. There is direct contact with the milk and/or surfaces before, during or after the milking, posing public health risk and economic decline. The aim of this study was to examine the bacteriological quality of bulk tank raw milk samples collected from two different size dairy farms (Farm 1 and Farm 2) of different housing forms (cubicle loose and deep litter) in Hajdú-Bihar County, Hungary in July, 2017. Three samples were taken from each farm, and the total plate count, coliform count, Escherichia coli count, Staphylococcus aureus count, and yeast and mould count were determined in them. The results clearly showed low level of all measured bacteria group load in Farm 1 samples in comparison to Farm 2 with the exception of coagulase-negative Staphylococcus (CNS) which represented high level in general, indicating significant difference (P<0.05). The mean value of total plate count in Farm 2 samples was higher (1.0 × 105 CFU/mL) than Farm 1 samples (2.8 × 104 CFU/mL). There was a significant difference (P<0.05) in mean count of coliforms in raw milk samples between Farm 1 and Farm 2. Similarly, results of E. coli were significantly different (P<0.05) with mean count of 1.44 × 102 CFU/mL and 2.02 × 103 CFU/mL for Farm 1 and Farm 2 respectively. Results of Staphylococcus aureus also showed significant difference (P<0.05) with mean count of 9.7 × 101 CFU/mL for Farm 1 and 6.28 × 102 CFU/mL for Farm 2. The mean of mould count recorded was 1.07 × 102 CFU/mL and 4.93 × 102 CFU/mL for Farm 1 and Farm 2 respectively. The recorded mean of yeast count was 1.68 × 103 CFU/mL and 3.41 × 103 CFU/mL for Farm 1 and Farm 2 respectively; however, both farms showed no significant difference (P>0.05) in terms of mean of mould and yeast count. Although Farm 2 produced six times lower milk quantity than Farm 1, the measured microbial parameters were high. Both farms’ microbiological numbers were higher above the permitted limit values as stated by Regulation (EC) No 853/2004, Hungarian Ministry of Health (MoH) 4/1998 (XI. 11.). This could be an indication of non-conformance to effective GMP, ineffective pre–milking disinfection or udder preparation, poor handling and storage practice, time and temperature abuse and inadequate Food Safety Management System Implementation. Therefore, our recommendation is as follows; establish control measures for pre- and postharvest activities involved in the milking process which would be an effective approach to reduce contamination of the raw milk by pathogenic microorganisms from these farms, strict sanitation regime and hygiene protocol be employed and applied to cows, all equipment, contact surfaces and minimize handling of the milk prior, during and after milking. This will also serve as scientific information to the producers for continual improvement in their operations.

scholarly journals Composition of raw milk from conventional and organic dairy farming

2016 ◽  
Vol 32 (2) ◽  
pp. 133-143 ◽  
Author(s):  
Denis Kucevic ◽  
Snezana Trivunovic ◽  
Vladan Bogdanovic ◽  
Ksenija Cobanovic ◽  
Dobrila Jankovic ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Raw Milk ◽  
Farming System ◽  
Dairy Farming ◽  
Milk Samples ◽  
High Statistical Significance ◽  
Significant Difference ◽  
Organic Dairy ◽  
One Year ◽  
The Impact

Possible differences between composition of raw milk due to dairy farming system (organic vs conventional) as well as seasonal variations were investigated. The samples were analysed during one year. A total of 6.782 samples of raw milk were collected (4.496 from organic farming). Dairy farms were located in the northern part of Republic of Serbia (Province of Vojvodina). The principle of analysis of raw milk samples was in accordance with the methodology by midinfrared spectrometry and flow cytometry. The fixed effect of system of farming and season (winter, spring, summer and fall) have shown a high statistical significance (P < 0.01) on all examined milk parameters except fat, total solids and somatic cell count, where the impact was slightly lower (P < 0.05). Significant difference wasn't found in number of bacterial colonies (P > 0.05). Composition of milk is also affected by a number of other factors, therefore it is recommended to involve factors such as nutrition of dairy cows, breed and farm management.

scholarly journals The examination of presumed Escherichia coli count of raw milk samples on several milk production farms

2006 ◽  
pp. 31-37
Author(s):  
Ferenc Peles ◽  
András Szabó ◽  
Béla Béri ◽  
Péter Keresztúri
Keyword(s):  
Escherichia Coli ◽  
Raw Milk ◽  
Coliform Bacteria ◽  
Farm Size ◽  
Small Farms ◽  
Bulk Tank Milk ◽  
E Coli ◽  
Significant Difference ◽  
Bulk Tank ◽  
Large Farms

For dairy farms, it is of great importance to insure the appropriate hygienic status of milk and to examine it regularly. Escherichia coli, belonging to the coliform bacteria type of, is a good indicator of contamination, and therefore suitable for characterising the hygienic condition of milk production.The aim of our research was to examine the connection between the Escherichi coli count in bulk tank milk and housing and milking technologies of different-sizes farms. We examined the relation using various statistical methods.Analysing the connection between the E. coli count and the farm size we found no significant difference between the farms. On the basis of the mean values of the E. coli count, we can say that the hygienic conditions are appropriate for mid-sized farms, and tolerable for large farms. We found differences in the hygienic status among the small farms. Half of the eight small farms, had no adequate hygiene. The results of the analysis of the quality categories show that the probability of inadequate quality milk was the largest on small farms (37.5%).Comparing the various housing and milking methods with each other, there were numerical differences in the E. coli count, but these differences were not significant. We got higher E. coli count values on those farms using tied stall barn and bucket milking installation. The reason for this could be that in cases of farms using bucket milking installation, it is harder to meet the requirements.After forming groups by farm size, housing and milking methods, we found that the E. coli counts are adequate on mid-size farms using various housing and milking methods; and tolerable on those large farms using loose housing stable and a milking parlour. At the same time, we found inadequate E. coli counts on the smaller farms using tied stall barns and bucket milking installation.The results show that if there is suitable attention, independent of farm size, housing and milking procedure, it is possible to produce milk with low E. coli counts, and to insure appropriate hygienic conditions.Further detailed examinations are needed to decide which factors of housing and milking technologies influence the E. coli count of bulk tank milk.

scholarly journals Pseudomonas spp. and P. fluorescens: population in refrigerated raw milk

2017 ◽  
Vol 47 (1) ◽  
Author(s):  
Kelly Molin de Almeida ◽  
Samera Rafaela Bruzaroski ◽  
Daniel Zanol ◽  
Marcela de Melo ◽  
Joice Sifuentes dos Santos ◽  
...  
Keyword(s):  
Titratable Acidity ◽  
Dairy Farms ◽  
Raw Milk ◽  
Quality Parameters ◽  
Pseudomonas Spp ◽  
Psychrotrophic Bacteria ◽  
Milk Samples ◽  
Bulk Milk ◽  
Colony Forming Units ◽  
Bulk Tank

ABSTRACT: Raw milk samples were collected from cooling tanks (after they cooled for 48 h) in five dairy farms and the corresponding bulk tank (bulk milk transportation, BMT) when they arrived to the industry. Routine physical chemical analyzes and quantification of psychrotrophic ( Pseudomonas spp. and P. fluorescens ) and aerobic mesophilic (AM) populations were performed. Only relative density and titratable acidity values for samples of milk from three farms were in agreement to the quality parameters required by law. In the BMT, only the protein content has not reached the minimum value established by law, and counting was performed for AM (>105 colony forming units (CFU) mL-1) and psychrotrophic bacteria (2.8x106CFU mL-1). Pseudomonas spp. counting corresponded to 17.9% of the psychrotrophic population, and P. fluorescens was 3.4% of Pseudomonas spp . count. In milk samples from dairy farms, counts were variable for AM (3.4x105 to 3.7 x107CFU mL-1), psychrotrophic (4.0x104 to 3.1x106CFU mL-1), Pseudomonas spp. (2.3x104 to 1.8x105CFU mL-1), and P. fluorescens (62 to 8.4x103CFU mL-1). For the populations studied, no statistical difference (P>0.05) was observed between counts reported in milk samples collected in dairy farms (cooling tanks) and BMT. Therefore, the genera Pseudomonas spp. and P. fluorescens were not the most frequent psychrotrophic bacteria in this studied milk transportation line.

scholarly journals Variávéis relacionadas ao teor de extrato seco desengordurado em amostras de leite de tanques de resfriamento de estabelecimentos rurais

2019 ◽  
Vol 40 (1) ◽  
pp. 203
Author(s):  
Luis Carlos Arruda Junior ◽  
Adriana Hauser ◽  
Dileta Regina Moro Alessio ◽  
Deise Aline Knob ◽  
Marciel França ◽  
...  
Keyword(s):  
Dairy Farm ◽  
Dairy Farms ◽  
Bacterial Count ◽  
Raw Milk ◽  
Lower Percentage ◽  
Total Bacterial Count ◽  
Production Volume ◽  
Explanatory Variables ◽  
Milk Samples ◽  
Milk Volume

The defatted dry extract (DDE) comprises of the solid constituents of the milk, except for the fat, and must have a minimum established content of 8.4% for raw milk in Brazil. The objective was to evaluate the effects of commercialized milk volume, somatic cell count (SCC) and total bacterial count (TBC) on the DDE content of dairy farm milk samples. The sampling included data from monthly milk analyzes of dairy farms, which supply four dairy industries located in the state of Santa Catarina, Paraná and Rio Grande do Sul, and comprised of 106.470 observations sampled in 2015.The data were submitted to variance and regression analysis. To evaluate the influence of the volume of milk commercialized by the farmers, the SCC and TBC levels, and the levels of DDE, the values of these explanatory variables were stratified in quintiles. The mean DDE was 8.55%, with 25.6% of the samples being below the established minimum. In regard to the volume of milk marketed by the farmers, seasonal variations were observed in all quintiles of dairy farms analyzed, but with lower levels of DDE in milk samples from small farms throughout the year. Samples of milk with high TBC and, especially high SCC, presented lower percentage of DDE during the year. It is concluded that the DDE content of milk is related to the season of the year, the production volume per dairy, SCC and TBC.

scholarly journals Aflatoxin M1 Contamination in Raw Cow Milk of Dairy Farms in Behbahan area, Khuzestan province, Iran

2019 ◽  
Author(s):  
Seyedeh Ommolbanin Ghasemian
Keyword(s):  
Dairy Farms ◽  
Raw Milk ◽  
Cow Milk ◽  
Aflatoxin M1 ◽  
Natural Occurrence ◽  
Environmental Chemical ◽  
Khuzestan Province ◽  
Milk Samples ◽  
Significant Difference ◽  
Southwest Of Iran

Introduction: Mycotoxins are among the environmental chemical agents with toxic effects on animals and humans. Aflatoxins (AF) are a major group of mycotoxins produced following the growth of some species of Aspergillus flavus and Aspergillus parasiticus, particularly in agricultural products. Aflatoxin M1 (AFM1) is secreted to milk and remains there since the process of pasteurization and sterilization has little effect on this metabolite. The aim of this study was to investigate the natural occurrence of AFM1 in raw milk in Behbahan area, which is an area of high-density livestock production in southwest of Iran. The other aim was to compare these obtained levels with the accepted level recommended by the European community (50 ng/L). Methods: In the present study, 90 samples of raw milk were collected from five dairy farms in Behbahan region, Khuzestan province, Iran. The AFM1 was analyzed using the Enzyme Linked Immune Sorbent Assay (ELISA) method by ELISA kits from Euro Clone, Italy.  Data were analyzed by ANOVA and the results were reported as mean ± SE. The significant level was set at p ≤ 0.05.  Results: The concentration of aflatoxin M1 in (15)16.54% of raw milk was higher than maximum tolerance limit accepted by European Union /Codex Alimentarius Commission (50 ng/l). The results of this study showed that all 90 investigated raw milk samples were contaminated with AFM1 (100%). Conclusion: A significant difference was observed between concentration means of AFM1 in various studied farms at P < 0.05. Consequently, high occurrence of AFM1 in raw milk samples was considered as a possible hazard for human health. However, further longitudinal studies are required on milk samples and other dairy products in Behbahan as well as other regions of Iran to estimate the representative intake of AFM1 in Iran.

scholarly journals Arcobacter spp. in raw milk from vending machines in Piedmont and occurrence of virulence genes in isolates

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Amaranta Traversa ◽  
Silvia Gallina ◽  
Francesca Martucci ◽  
Cvetelina Boteva ◽  
Elisa Baioni ◽  
...  
Keyword(s):  
Virulence Genes ◽  
Foodborne Pathogen ◽  
Dairy Farms ◽  
Raw Milk ◽  
Human Consumption ◽  
Bulk Tank Milk ◽  
Milk Samples ◽  
Vending Machines ◽  
Bulk Tank ◽  
P Type

Arcobacter spp. has been recognized as an emerging foodborne pathogen and a hazard to human health. In the dairy chain, it has been isolated from different sources, nevertheless data on Arcobacter occurrence in raw milk provided by vending machines are few. This study aimed to identify potentially pathogenic Arcobacter spp. in raw milk intended for human consumption sold through vending machines located in Piedmont. In an 8-month period, 37 raw milk samples were collected from 24 dairy farms: 12 (32,4%) were collected directly in farm from bulk tank milk and 25 (67,6%) from vending machines. Eight (21,6%) out of the 37 milk samples and 7 (29,2%) out of the 24 dairy farms were positive for Arcobacter spp. by culture examination. Four (16%) out of the 25 samples from vending machines and 4 (33,3%) out of the 12 samples from bulk tank milk were positive. All 8 isolates were identified as A. butzleri both by MALDI-TOF MS and multiplex end-point PCR. According to the detection of virulence genes, a total of four Patho-types were highlighted: 5 isolates in P-type 1 and only one isolate for each of the P-types 2-3-4. A. butzleri isolates carrying encoding virulence factors genes were isolated from raw milk intended for human consumption: these findings strengthen the compulsory consumption after boiling as required by current legislation and suggest the need of enlarging the analytical investigations to other microorganisms not yet included in the food safety criteria.

Nutrient budgets of Ontario organic dairy farms

2008 ◽  
Vol 88 (1) ◽  
pp. 107-113 ◽  
Author(s):  
C J Roberts ◽  
D H Lynch ◽  
R P Voroney ◽  
R C Martin ◽  
S D Juurlink
Keyword(s):  
Nutrient Management ◽  
Weighted Average ◽  
Dairy Farms ◽  
Nutrient Status ◽  
The United States ◽  
Environmental Benefits ◽  
Farm Size ◽  
Management Approach ◽  
Organic Dairy ◽  
Organic Dairy Farms

The sustainability of organic dairying in Canada, with respect to nutrients, remains unexamined. To assess how management affects nutrient status, we documented whole farm nutrient (NPK) budgets over 2 yr (2003 to 2005) and soil (0 to 15 cm) P and K status on 15 long-term Ontario organic dairy farms. Farm size, livestock density and herd productivity averaged 110 ha, 1.00 livestock units ha-1 and 5656 kg milk cow-1 yr-1, respectively. Annual farm nutrient surpluses of 75 (N), 1 (P) and 11 (K) kg ha-1 yr-1 were lower than those reported for confinement-based dairy farms in the United States, pointing to possible environmental benefits from reduced off farm impacts on air and water quality. Weighted average soil test P levels were low (< 10 mg kg-1) on approximately 50% of farms, while exchangeable K levels were moderate to high (76 to 160 mg kg-1) on all farms. Four farms adopting a "self-sufficient" approach, producing most feed on-farm, imported little P as feed (1.37 to 1.90 kg P ha-1 yr-1) and had negative average farm P balances (avg. -1.54 kg P ha-1 yr-1). An integrated nutrient management approach, along with a flexible feed import strategy, fosters the sustainability of organic dairying systems. Key words: Organic dairying, nutrient budget, nitrogen, potassium, phosphorus, soil fertility

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