Effect of Environmental Conditions in Milk Production Under Small-Scale and Semi-Extensive Conditions in Kosovo

10.5772/29099 ◽  
2012 ◽  
Author(s):  
Hysen Bytyqi
Keyword(s):  
Milk Production ◽  
Environmental Conditions ◽  
Small Scale

scholarly journals Foreign experience in the development of dairy cattle and directions of its use in domestic practice

2020 ◽  
pp. 36-46
Author(s):  
S. Shupyk
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Financial Incentives ◽  
Dairy Farm ◽  
Raw Milk ◽  
Government Support ◽  
Small Scale ◽  
State Support ◽  
The Government ◽  
Small Scale Farmers

The article analyzes the support for the US market, where the government has allocated almost $ 22.2 billion for the development of dairy cattle. direct and indirect subsidies to the country's dairy sector (35.02 c/l), which is equivalent to 73% of farmers' milk sales, showed relatively high domestic support, export subsidies, conservation programs, risk management programs, disaster relief programs, loan programs, crop insurance, livestock support. Surveys to support the Indian market, which ranks second in the world in raw milk production (9.5%), have shown that almost 80% of small-scale farmers are small-scale farmers. Milk collection is carried out by 130 thousand dairy cooperatives. NABARD (National Bank for Agriculture and Rural Development) under DEDS, provides for subsidies of up to 25% of costs. China is investing heavily in the construction of large dairy farms and livestock complexes with up to 100,000 cows. The Australian market produces 9.3 million tonnes of milk, of which 36% is exported and is the world's fourth exporter of dairy products (6% of the world market). Australia's dairy cattle are characterized by a small amount of direct government support. During 2015-2016, agriculture received financial and commercial assistance over $ 147 million. US in the form of payments to farms. It has been established that price forecasting plays an important role in regulating the milk market in Australia, on the basis of which the profile Ministry, taking into account world prices, generates milk price indices. Analysis of milk production in Switzerland has shown that it remains highly subsidized. In 2013, state support for milk producers amounted to CHF 1.8 billion, incl. direct subsidies are estimated at 1.5 billion Swiss francs, which is 61 thousand Swiss francs per dairy farm, or 0.41 Swiss francs per 1 liter of milk. The state support system for dairy cattle in Canada has been found to include the following instruments: import tariffs that restrict dairy imports; minimum guaranteed prices for raw milk that are set at the maximum amount of milk sold to the dairies within the quota; a system of direct payments to farmers for milk production within the quota. The amount of direct payments per 1 liter of milk is set annually by the government. In order to support Canadian producers in technological modernization aimed at improving the efficiency of milk production, a dairy farm investment program (DFIP) is implemented with state support of $ 250 million. USA According to the Organization for Economic Co-operation and Development (OECD) in Iceland, Japan, Norway and Switzerland, the level of support for dairy producers exceeds on average 70% of the gross income of farmers, in Canada, the EU, Hungary, Korea and the USA the amount of support is 40-55%. An analysis of the support for the development of dairy cattle in the EU countries showed that the following instruments are allocated for these purposes: production restrictions (milk production quotas); government interventions and storage; Establishment of product sales regulations / regulations; the dairy package (including regulating contractual relations in the dairy sector); foreign trade (import regulations, export subsidies); government subsidies. It is found that the main factor that increases the profitability of dairy production in developed countries is the improvement of quality and differentiation of the range. Major factors contributing to the successful development of dairy cattle are increased government support and economical use of resources. Also used are a set of financial incentives, including reducing the tax burden. Key words: Livestock, milk market, domestic support, development programs, cooperation, financial incentives, subsidies, import tariffs, quotas.

Revival of resource potential of cattle breeding as a competitiveness development factor for enterprises of dairy subcomplex of Ukrainian agro-industrial complex

2021 ◽  
Vol 12 (3) ◽  
Author(s):  
V. I. Yemtsev ◽  
◽  
N. M. Slobodyanyuk ◽  
Keyword(s):  
Quality Control ◽  
Milk Production ◽  
Raw Materials ◽  
Raw Milk ◽  
Global Market ◽  
Small Scale ◽  
Industrial Complex ◽  
Agricultural Enterprises ◽  
Private Households ◽  
Development Factor

Permanent crises in the Ukrainian economy, the devaluation of the hryvnia, decline in household income and purchasing power, increased competition in the global market, as well as the continuous rise in world prices for food and non-food items have created new realities for enterprise functioning in the dairy subcomplex of Ukrainian agro-industrial complex and cause its transformation. World milk production and consumption are increasing. However, there are opposite trends in Ukraine: in 1990, the country produced 24.5 million tons of milk and was the 6th in the world ranking of milk producing countries, in 2020 – 9.3 million tons and the 22nd place, respectively. Therefore, the study of the reasons for the existence of these trends is very relevant. The research was based on the following methods: qualitative analysis and synthesis, economic and statistical analysis, comparisons, analytical and logical generalizations, etc. At the beginning of 2021, the total number of cattle in Ukraine amounted to 2.874 million and over the past 10 years, this number has decreased by 1.952 million, including cows – by 0.958 million. Milk production remains a small-scale branch. In 2020, 9.263 million tons of milk were produced (17.66% less than in 2010). Of these, 29.8% – in agricultural enterprises and 70.2% – in private households. However, the sanitary quality control of milk is carried out only in 14.8% of private households, therefore, in 2020, the main milk supplier for processing were agricultural enterprises, which supplied 77.2% of the total amount of milk delivered for processing, thus ensuring an increase in quality and safety of milk obtained by processing enterprises. A significant reduction in the volume of milk supplies for processing led to a decrease in the number of processing enterprises by 69.14% in 2020 compared to 1990. The main factors of transformation of the dairy subcomplex of Ukraine include declining cow population, insufficient quality of raw milk and its non-compliance with the EU regulations and standards, low technological level of milk production, insufficient quality control of raw materials, lack of modern equipment, high capital and labor intensity of production processes, rising prices for energy and other resources, lower consumption of dairy products due to low purchasing ability, increased competition in global and domestic dairy markets, etc. Possible directions of small-scale milk producers’ integration need further research.

DEVELOPMENT OF MILK PRODUCTION IN UKRAINE AND ECONOMIC SUSTAINABILITY OF THE DAIRY COMPLEX

2019 ◽  
pp. 8-15
Author(s):  
Vitalii NITSENKO ◽  
Yuriy I. DANKO
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Dairy Industry ◽  
The State ◽  
Small Scale ◽  
Economic Sustainability ◽  
Scale Production ◽  
Economic Stability ◽  
Cattle Breeding ◽  
Starting Point

The aim of the study was to develop theoretical, methodological and practical foundations for achieving the economic sustainability of dairy products by enterprises. The structure of the dairy subcomplex in terms of supply chain management is disclosed. This methodological approach made it possible to outline the external environment of the milk production and the dairy industry as a whole. We consider the category «economic sustainability» as the system ability to maintain its working condition in order to achieve the planned results in the presence of various perturbation effects (destabilizing internal and external factors). The starting point was the hypothesis that the economic sustainability of the dairy subcomplex as a whole depends on the economic sustainability of milk production entities (agricultural enterprises and households). Comparing the profitability level that has the potential to provide dynamic economic stability with the average in the dairy industry proves - without active state support the dairy industry in Ukraine is in danger of phasing out. The analysis of economic practices in Ukraine (in particular, data of the State Statistics Service) allowed to formulate the author's vision of the directions of achieving the dairy sub-sector of the state of dynamic economic stability. They include: the development of industrial dairy cattle as opposed to the dominance of small-scale production; changes in pricing policy, as well as the calculation of government subsidies by reformatting approaches to determining the cost of milk production, which will allow to adjust the reproduction system of own livestock and will increase the profitability of the dairy industry; achievement of higher quality of dairy raw materials by means of logistical re-equipment of farms, improvement of personnel qualification, provision of high sanitary standards, improvement of veterinary services; diversification of milk distribution channels in order to reduce the market power of the processing industry enterprises. Key words: milk production, economic sustainability, dairy subcomplex, industrial cattle breeding, dairy cattle breeding.

scholarly journals Effect of the scale of production on the cost-effectiveness of milk production systems belonging to the “Balde Cheio” program

2018 ◽  
Vol 39 (3) ◽  
pp. 1211
Author(s):  
Flávio De Moraes ◽  
Marcos Aurélio Lopes ◽  
Francisval De Melo Carvalho ◽  
Afonso Aurélio de Carvalho Peres ◽  
Fábio Raphael Pascoti Bruhn ◽  
...  
Keyword(s):  
Cost Effectiveness ◽  
Labor Force ◽  
Milk Production ◽  
Large Scale ◽  
Unit Cost ◽  
Small Scale ◽  
Total Cost ◽  
Medium Scale ◽  
Return On Capital ◽  
The Cost

This study investigates the cost-effectiveness of 20 demonstration units (DUs) belonging to the "Balde Cheio" program. The units in question are from the state of Rio de Janeiro, Brazil, dating from January to December 2011, and are sorted according to the scale of production (small, medium and large). The data were analyzed using Predictive Analytical software (PASW) 18.0. The scale of production influenced the total cost of milk production, and therefore profitability and cost-effectiveness. The large-scale stratum showed the lowest total unit cost. The positive results in medium and large scales in milk production lead to optimal conditions for long-term production, with the capitalization of cowmen. The items regarding the effective operating cost (EOC) with the biggest influence on the costs of dairy activity in the small scale stratum were food, energy and miscellaneous expenses. In the medium scale, these were food, labor force, and miscellaneous expenses. Finally, in the large scale, they were food, labor force and energy. In the small and large scale, the items regarding the total cost with the biggest influence on the costs of dairy activity were food, labor force, and return on capital, while in the medium scale, they were food, return on capital, and labor force. The average break-even point of 14 of the DUs was higher than the average daily production.

scholarly journals A Novel Self-Deployable Solar Sail System Activated by Shape Memory Alloys

Aerospace ◽  
2019 ◽  
Vol 6 (7) ◽  
pp. 78 ◽  
Author(s):  
Gianluigi Bovesecchi ◽  
Sandra Corasaniti ◽  
Girolamo Costanza ◽  
Maria Elisa Tata
Keyword(s):  
Shape Memory Alloys ◽  
Shape Memory ◽  
Environmental Conditions ◽  
Solar Sail ◽  
Operating Conditions ◽  
Small Scale ◽  
Space Vehicles ◽  
Solar Sails ◽  
Suitable Material ◽  
Transfer Mechanisms

This work deals with the feasibility and reliability about the use of shape memory alloys (SMAs) as mechanical actuators for solar sail self-deployment instead of heavy and bulky mechanical booms. Solar sails exploit radiation pressure a as propulsion system for the exploration of the solar system. Sunlight is used to propel space vehicles by reflecting solar photons from a large and light-weight material, so that no propellant is required for primary propulsion. In this work, different small-scale solar sail prototypes (SSP) were studied, manufactured, and tested for bending and in three different environmental conditions to simulate as much as possible the real operating conditions where the solar sails work. Kapton is the most suitable material for sail production and, in the space missions till now, activated booms as deployment systems have always been used. In the present work for the activation of the SMA elements some visible lamps have been employed to simulate the solar radiation and time-temperature diagrams have been acquired for different sail geometries and environmental conditions. Heat transfer mechanisms have been discussed and the minimum distance from the sun allowing the full self-deployment of the sail have also been calculated.

Milk production and estimated enteric methane emission from cows grazing ryegrass pastures in small-scale dairy systems in Mexico

2020 ◽  
Vol 52 (6) ◽  
pp. 3609-3619
Author(s):  
Sirley Carrillo-Hernández ◽  
Felipe López-González ◽  
Julieta Gertrudis Estrada-Flores ◽  
Carlos Manuel Arriaga-Jordán
Keyword(s):  
Milk Production ◽  
Methane Emission ◽  
Small Scale ◽  
Enteric Methane ◽  
Dairy Systems ◽  
Small Scale Dairy

Milk production and fatty acid profile of dairy cows grazing four grass species pastures during the rainy season in small-scale dairy systems in the highlands of Mexico

2018 ◽  
Vol 50 (8) ◽  
pp. 1797-1805 ◽  
Author(s):  
D. A. Plata-Reyes ◽  
E. Morales-Almaraz ◽  
C. G. Martínez-García ◽  
G. Flores-Calvete ◽  
F. López-González ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Dairy Cows ◽  
Fatty Acid Profile ◽  
Milk Production ◽  
Rainy Season ◽  
Grass Species ◽  
Small Scale ◽  
Dairy Systems ◽  
Small Scale Dairy

scholarly journals Body Condition Score and Milk Production on Conception Rate of Cows under a Small-Scale Dairy System

Animals ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 800
Author(s):  
Luis Javier Montiel-Olguín ◽  
Felipe J. Ruiz-López ◽  
Miguel Mellado ◽  
Eliab Estrada-Cortés ◽  
Sergio Gómez-Rosales ◽  
...  
Keyword(s):  
Milk Production ◽  
Body Condition ◽  
Body Condition Score ◽  
Metabolic Stress ◽  
Dairy Farms ◽  
Conception Rate ◽  
Small Scale ◽  
Condition Score ◽  
The Impact ◽  
Small Scale Dairy

Management and production characteristics impact conception rate to first service (CR1S) in small-scale dairy farms, but the impact of body condition score (BCS) and milk production levels on cows’ fertility is unknown. Our objective is to determine the effect of BCS and milk production on CR1S in small-scale dairy farms of western Mexico. Logistic regression models are used to determine the effect of BCS (at calving and first service), 60-d and 305-d milk production, protein and fat production, lactation number, and days at first service on CR1S. BCS at calving does not affect CR1S in cows with three or more lactations (39.5%; p > 0.1). However, first-lactation cows with BCS < 3.0 at calving and second lactation cows with BCS ≤ 2.5 at calving have higher CR1S (63.2 and 67.9%, respectively; p < 0.1). This result is perhaps due to reduced milk production, which leads to lower metabolic stress. BCS ≤ 2.5 at calving is associated (p < 0.05) with a reduced milk yield, explaining partially the observed higher CR1S in these groups. Cows with BCS ≤ 2.5 at first service in the higher quartile of 60-d milk production (≥ 28kg/day) show lower CR1S (23.9 and 51.1%, respectively; p < 0.01). In conclusion, BCS at calving and at first service, 60-d milk production, and lactation number are factors associated with CR1S.

scholarly journals Simulating the effect of climate on star grass growth and quality and its capacity to support milk production in the tropical regions of Mexico

2014 ◽  
Vol 44 (8) ◽  
pp. 1486-1493 ◽  
Author(s):  
Gilberto Yong Angel ◽  
Vicente Celestino Pires Silveira ◽  
Francisca Avilés Nova ◽  
Octavio Alonso Castelán Ortega
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Production Systems ◽  
Growth And Yield ◽  
Small Scale ◽  
Data Set ◽  
Tropical Regions ◽  
Concentrate Supplementation ◽  
Positive Effects ◽  
Grass Growth

The objective of the present study was to simulate the effect of the seasonal variation of climate on the nutritional value and dry matter yield of star grass and its capacity to support milk production alone or with concentrate supplementation in small-scale milk production systems in the tropical regions of Mexico. Two mathematical simulation models were used, the first model simulates the growth and yield of star grass (Cynodon plectostachyus), and the second model simulates the productive performance of dairy cows. Both models were integrated in a decision-making support system (DSSTROP). Model's predictions were validated by a calibration exercise for each data set from three experiments on the effect of concentrate supplementation on milk yield. The DSSTROP predictions and the results from the experiments were compared by regression analysis. The results suggest that the DSSTROP adequately predicts milk production (R2=0.74). The DSSTROP predictions suggest that milk production based solely on star grass may occur only between June to August. The highest milk yield (8.5kg cow-1 day-1) sustained solely on grass was achieved in June, followed by lower yields of <5kg cow-1 day-1 in July and August. Milk production without concentrates can be explained by the positive effects of the rain observed during June to August on grass growth, and to the fact that grass quality is best at the beginning of the rainy season. It is concluded that June to August is the best time of the year for milk production base solely on grass. It also was concluded that the use of large quantities of concentrates by farmers may be justified because milk production with star grass alone may not be possible especially during the dry season.

USING A SOCIO-PSYCHOLOGICAL MODEL TO IDENTIFY AND UNDERSTAND FACTORS INFLUENCING THE USE AND ADOPTION OF A SUCCESSFUL INNOVATION BY SMALL-SCALE DAIRY FARMERS OF CENTRAL MEXICO

2016 ◽  
Vol 54 (1) ◽  
pp. 142-159 ◽  
Author(s):  
CARLOS GALDINO MARTÍNEZ-GARCÍA ◽  
CARLOS MANUEL ARRIAGA-JORDÁN ◽  
PETER DORWARD ◽  
TAHIR REHMAN ◽  
ADOLFO ARMANDO RAYAS-AMOR
Keyword(s):  
Milk Production ◽  
Family Income ◽  
Reasoned Action ◽  
Rank Order ◽  
New Technology ◽  
Social Pressure ◽  
Small Scale ◽  
Intention To Use ◽  
Advantages And Disadvantages ◽  
Negative Beliefs

SUMMARYThis paper seeks to make an exploratory investigation regarding farmers who have been using an innovation for a relatively long period (established users), compared to farmers who have only recently started (recent users). Therefore, the aims of this research were to identify (i) the extent to which intentions, attitudes and social pressure are similar or different between these two groups and (ii) whether comparison of the groups can improve academic understanding and provide insights into what is influencing the uptake of innovations. The study was conducted with 80 farmers who are already engaged with the use of improved grassland. In order to develop an understanding of the differences in drivers of the adoption of new technology, the sample was divided into established users and recent users of the innovation. To identify differences between groups regarding farmer and farm characteristics, 11 quantitative variables were analysed through a dependent t-test. The theory of reasoned action (TRA) was used as a theoretical framework and the Spearman rank-order correlation was used in data analyses. To identify differences in farmers’ perceptions of the components of the TRA, we used the Mann–Whitney U test. The results showed that established users had stronger intention to use improved grassland in the next 12 months, which would be attributed to activity based on milk production as a main source of family income. Advantages of improved grassland included lower animal feeding expenses; increases in quantity, quality and availability of fodder production and increases in milk production. We concluded that established and recent users’ intention to use improved grassland over the 12 months was influenced in different ways. Established users’ intention to adopt was strongly influenced by normative beliefs, i.e. social pressure from salient referents, where the father, uncle and veterinarian played the most important role, whereas recent users’ intention was mainly influenced by behavioural beliefs (positive and negative beliefs regarding the innovation) and the variables that describe the farm characteristics, i.e. the advantages and disadvantages that farmers perceive of the use of improved grassland on their farms, which were also considered as drivers of adoption.

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