scholarly journals DAIRY INDUSTRY IN KRASNODAR TERRITORY: ASSESSMENT AND DEVELOPMENT PROSPECTS

2019 ◽  
Vol 51 (3) ◽  
pp. 64-69
Author(s):  
V.A. Taranenko ◽  
◽  
S.N. Kosnikov ◽  
Keyword(s):  
Dairy Products ◽  
High Efficiency ◽  
Dairy Industry ◽  
Milk Processing ◽  
Management Technology ◽  
Livestock Products ◽  
Animal Sciences ◽  
Development Prospects ◽  
Different Levels ◽  
Main Factor

Krasnodar territory is a key supplier of livestock products. The share of the livestock industry is 26 % of the gross agricultural production of Krasnodar Territory. The dairy industry should maximize the achievements of both veterinary and animal sciences, as well as of advanced forms, methods, techniques and management technology. The main factor hindering the high efficiency of the industry is the high costs associated with transporting dairy products. The problem can be solved through developing autonomous modular workshops on dairy farms. The proper use of the workshop can lengthen the service life of the equipment up to 12 to 13 years. The modular workshop contains the necessary equipment for launch and installation of facilities, which is included in the project cost. The farm will need relatively little investment to introduce a mini-plant for milk processing. The advantage of this project is that it is suitable for enterprises with different levels of income. The project implementation will reduce the milk processing and packaging costs and actively place dairy products on the market.

scholarly journals Localization of enterprises for primary processing of milk in Almaty region

2021 ◽  
Vol 3 ◽  
pp. 13-23
Author(s):  
G.U. Akimbekova ◽  
◽  
A.B. Baymuhanov ◽  
U.R. Kaskabaev ◽  
◽  
...  
Keyword(s):  
Dairy Products ◽  
Dairy Industry ◽  
Raw Material ◽  
Agricultural Cooperatives ◽  
Milk Processing ◽  
Existing Problems ◽  
Technological Chain ◽  
The Republic ◽  
Production Capacities ◽  
Potential Reserve

The purpose-on the basis of the analysis of the current state and location of enterprises in the dairy industry of the republic and Almaty region, in particular, to identify the main factors that hinder its development, to develop recommendations for solving the existing problems. Methods - monographic, computational-constructive, analytical, economic-statistical, logical generalization. Results - research confirms the underdevelopment of the infrastructure for effective promotion of dairy products from producer to consumer along the production-processing-sale technological chain, especially primary milk processing; often there is a discrepancy between the required proportions between the existing production capacities of milk processing enterprises and the level of development of their raw material zones. Based on production potential of each district of a specific region and calculation of the population's demand for dairy products, a forecast for creation of agricultural cooperatives (APC) of dairy direction for purification of milk from mechanical impurities, cooling, storage and transportation in the context of districtsis presented. It is necessary to create 77 APC for the period 2021-2022, incl. 64 cooperatives for primary milk processing. Conclusions - it is recommended to merge small farms into agricultural cooperatives. The economic efficiency of organizing a cooperative milk collection point at the district level has been justified. Based on the study of the existing schemes for location of milk processing enterprises, proposals have been developed for the localization of new cooperative milk collection points in the territorial units of the region. Dairy industry enterprises need investments to renew their fixed assets. The authors note that the possibilities and advantages of cooperative principles and the potential reserve of agricultural cooperation are not yet fully realized.

Strategic issues facing the european dairy industry post 1992

1992 ◽  
Vol 1992 ◽  
pp. 53-53
Author(s):  
C. J. Doyle
Keyword(s):  
European Community ◽  
Milk Production ◽  
Dairy Products ◽  
Dairy Industry ◽  
Future Market ◽  
Processing Capacity ◽  
Strategic Issues ◽  
Milk Processing ◽  
Production And Consumption ◽  
Milk Market

Much has been written about the changing structure of dairy farming in Europe in the last decade, but comparatively little has been said about the processing sector. Yet the future market for milk largely depends on the success of the dairy trade in adapting to the new market environment. Accordingly, this paper concentrates on the pressures and strategic issues facing the milk processing sector in Europe. Certainly, in recent years it has had to cope with radical changes in both the production and consumption of dairy products. After several decades of uncontrolled expansion in milk production, the introduction of milk quotas by the European Community in 1984 was a rude shock. In general, the industry was still geared to an expanding milk market. Almost overnight, it was faced with the problem of excess processing capacity.

Identification of L. casei and L. rhamnosus in the dairy products using Real-Time PCR assay

2015 ◽  
Vol 4 (5) ◽  
pp. 222-225
Author(s):  
K. G. Li ◽  
G. P. Pogossian ◽  
A. K. Moldagulova ◽  
E. E. Bekenova ◽  
A. Abdikadirova ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Dairy Products ◽  
Production Control ◽  
High Efficiency ◽  
High Specificity ◽  
Industrial Test ◽  
Fermented Dairy Products ◽  
Species Specific ◽  
Fermented Dairy

  Lactobacilli are essential and important biological objects used in food pro-duction and medicine. One of the sufficient problems is fast, reliable and highly specific identification of lactobacilli in the scientific research and cur-rent production control. We represent two species-specific real-time PCR in the present study to discriminate L. rhamnosus and L. casei basing on the unique peptidoglycan-hydrolase genes p40 and p75 respectively. PCR pri-mers and probes were designed to provide high specificity discrimination via high temperature of PCR annealing stage. High efficiency of the reactions is provided by the size of amplified DNA fragments minimization. Reliable re-producibility of the target sequences amplification and fluorescence detec-tion provide a basis for the future creation of industrial test-systems for op-erational control in the production of fermented dairy products.

How does the nature of forages and pasture diversity influence the sensory quality of dairy livestock products?

2005 ◽  
Vol 2005 ◽  
pp. 245-245
Author(s):  
B. Martin ◽  
I. Verdier-Metz ◽  
S. Buchin ◽  
C. Hurtaud ◽  
J. B. Coulon
Keyword(s):  
Dairy Products ◽  
Sensory Quality ◽  
Health And Nutrition ◽  
Production Factors ◽  
Microbiological Characteristics ◽  
Nutritional Characteristics ◽  
Sensory Qualities ◽  
Livestock Products ◽  
Basic Link

The characteristics of dairy products depend on both the processing technology and the chemical and microbiological characteristics of milk. The milk properties depend themselves on a number of production factors linked to animals (genetic and physiology) or feeding. Some of these factors, the way animal are fed in particular, are increasingly becoming the focus of consumers’ concern. In particular, grass-based diets are sensitive because grass carries a positive image that can be attractive to some, because it may confer special nutritional characteristics to the products and also because grass feeding is part of the basic link between products and their original land which is important in the case of labelled products (Protected Denomination of Origin [PDO]). The aim of this text is to take stock of the recent studies (Coulon et al., 2004), which have studied the effect of grass on the sensory qualities of cheeses and butter. Other dimensions of quality. i.e., health and nutrition, are not investigated.

scholarly journals Value chain, productivity and trade performance in the dairy industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gladys Kemitare ◽  
Frank Kabuye ◽  
Anthony Moni Olyanga ◽  
Nichodemus Rudaheranwa
Keyword(s):  
Value Chain ◽  
Policy Development ◽  
Dairy Products ◽  
Dairy Industry ◽  
Correlation Coefficients ◽  
Business Community ◽  
Hierarchical Regression ◽  
Cross Sectional ◽  
Content Type ◽  
Trade Performance

PurposeThe purpose of this paper was to establish the contribution of value chain and productivity to trade performance in the dairy industry using evidence from Uganda.Design/methodology/approachThis study research design is cross-sectional and correlational. Data were collected through a questionnaire survey of 108 dairy farmers, processors and exporters. Data were analysed through correlation coefficients and linear regression using Statistical Package for Social Sciences.FindingsHierarchical regression results indicate that value chain and productivity contribute significantly to variances in trade performance of dairy products. Therefore, appropriate value chain processes and high levels of productivity lead to increased trade performance in the dairy industry.Research limitations/implicationsThis study focusses on trade performance of dairy products in Uganda. These research findings are useful for informing the deliberations of academicians, regulators and the business community. The results are applicable to all countries that carry out trade specifically in dairy products.Practical implicationsThe results are important for trade policy development in the dairy industry. For example, this study informs farmers, processors and exporters of dairy products how value chain activities in dairy farming can be re-aligned to achieve better quality and productivity for exportation. Similarly, the current study provides policy guidance for the relevant ministries such as ministry of trade and other players to come up with holistic policy actions aimed at improving the trade performance of dairy products in the country.Originality/valueTo the researchers' knowledge, this is the first study that provides an initial empirical evidence on the contribution of value chain and productivity on trade performance of dairy products in Uganda.

scholarly journals High-Efficiency Simulation Framework to Analyze the Impact of Exhaust Air from COVID-19 Temporary Hospitals and its Typical Applications

2020 ◽  
Vol 10 (11) ◽  
pp. 3949 ◽  
Author(s):  
Donglian Gu ◽  
Zhe Zheng ◽  
Pengju Zhao ◽  
Linlin Xie ◽  
Zhen Xu ◽  
...  
Keyword(s):  
High Efficiency ◽  
Adverse Impact ◽  
Simulation Framework ◽  
Levels Of Detail ◽  
Surrounding Environment ◽  
Building Information ◽  
Simulation Results ◽  
Medical Infrastructure ◽  
The Impact ◽  
Different Levels

The outbreak of COVID-19 resulted in severe pressure on the existing medical infrastructure in China. Several Chinese cities began to construct temporary hospitals for the centralized treatment of COVID-19 patients. The harmful exhaust air from the outlets of these hospitals may have a significant adverse impact on the fresh-air intakes and surrounding environment. Owing to the need to rapidly construct these hospitals within 6–10 days, just a few hours are allowed for the analysis of the impact of this exhaust air on the environment. To overcome this difficulty, a high-efficiency simulation framework is proposed in this study. Based on the open-source computational fluid dynamics software, FDS, the proposed framework is adaptive and incorporates building information with different levels of detail during various design phases of the hospital, and has been applied in the design of the Wuhan Huoshenshan Hospital, the first typical COVID-19 temporary hospital in China. According to the simulation results, neither the fresh-air intakes nor the surrounding buildings would be polluted by the harmful air discharged from the air outlets of the Huoshenshan hospital. The proposed simulation framework can provide a reference for the design and overall planning of similar hospitals in China and other affected countries.

scholarly journals Increasing of competitiveness of dairy products in Slovakia through the application of information systems

2009 ◽  
Vol 55 (No. 8) ◽  
pp. 384-391
Author(s):  
A. Látečková ◽  
M. Kučera ◽  
K. Brédová
Keyword(s):  
Information Systems ◽  
National Economy ◽  
Dairy Products ◽  
World Economy ◽  
Dairy Industry ◽  
Current Situation ◽  
Dairy Production ◽  
Global Trends ◽  
National Market

Global trends in world economy intervene into each sector of national economy. In the article, we focused on the dairy industry. The research was oriented at the national market of dairy products with the goal to assess the current situation on the market with these commodities. According to the acquired data, we compiled an overview of the current situation in the market and we pointed out the direction that should be followed by producers. The implementation of information systems is a necessary requirement to increase competitiveness in accordance with the specifics of dairy production.

scholarly journals Overview of the Potential Impacts of Climate Change on the Microbial Safety of the Dairy Industry

Foods ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 1794
Author(s):  
Rodney J. Feliciano ◽  
Géraldine Boué ◽  
Jeanne-Marie Membré
Keyword(s):  
Climate Change ◽  
Supply Chain ◽  
Dairy Products ◽  
Dairy Industry ◽  
Mitigation Strategies ◽  
Raw Material ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Safety ◽  
Microbial Infection ◽  
The Impact

Climate change is expected to affect many different sectors across the food supply chain. The current review paper presents an overview of the effects of climate change on the microbial safety of the dairy supply chain and suggest potential mitigation strategies to limit the impact. Raw milk, the common raw material of dairy products, is vulnerable to climate change, influenced by changes in average temperature and amount of precipitation. This would induce changes in the microbial profile and heat stress in lactating cows, increasing susceptibility to microbial infection and higher levels of microbial contamination. Moreover, climate change affects the entire dairy supply chain and necessitates adaptation of all the current food safety management programs. In particular, the review of current prerequisite programs might be needed as well as revisiting the current microbial specifications of the receiving dairy products and the introduction of new pretreatments with stringent processing regimes. The effects on microbial changes during distribution and consumer handling also would need to be quantified through the use of predictive models. The development of Quantitative Microbial Risk Assessment (QMRA) models, considering the whole farm-to-fork chain to evaluate risk mitigation strategies, will be a key step to prioritize actions towards a climate change-resilient dairy industry.

scholarly journals Comparing Three Lane Merging Schemes for Short-Term Work Zones: A Simulation Study

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Rami Harb ◽  
Essam Radwan ◽  
Vinayak V. Dixit
Keyword(s):  
Traffic Safety ◽  
Compliance Rate ◽  
Simulation Models ◽  
Work Zone ◽  
Highway Traffic ◽  
Work Zones ◽  
Short Term ◽  
Management Technology ◽  
Traffic Composition ◽  
Different Levels

Traffic safety and mobility of roadway work zones have been considered to be one of the major concerns in highway traffic safety and operations in Florida. Dynamic lane merging (DLM) systems—ITS-based lane management technology—were introduced by several states in an attempt to enhance both safety and mobility of roadway work zones. Two forms of lane merging, namely, the early merge and the late merge were designed to advise drivers on definite merging locations. Up to date, there are no studies that contrast both merging schemes under matching work zone settings. This study simulates a two-to-one work zone lane closure configuration under three different Maintenance of Traffic (MOT) plans in VISSIM. The first MOT is the conventional plans used in Florida’s work zones, the second MOT is a simplified dynamic early merging system (early SDLMS), and the third MOT is a simplified dynamic late merging systems (late SDLMSs). Field data was collected to calibrate and validate the simulation models. Simulation results indicated that overall, under different levels of drivers’ compliance rate and different percentages of trucks in the traffic composition, the early SLDMS outperformed the conventional MOT and the late SDLMS in terms of travel times and throughputs.

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