scholarly journals Development of competitiveness and its determinants in Slovak dairy farms

2014 ◽  
Vol 60 (No. 2) ◽  
pp. 82-88
Author(s):  
M. Michaličková ◽  
Z. Krupová ◽  
P. Polák ◽  
L. Hetényi ◽  
E. Krupa

The competitiveness and its determinants for Slovak dairy cattle farms during the years 2007 to 2011 was analysed. The economic database of the Research Institute for Animal Production Nitra was used as the basis. The profit in milk production with including the direct subsidies was assumed as the main parameter of the dairy farm competitiveness. The influence of the individual cost items and milk yield on the competitiveness was quantified using the multivariable linear regression model. Our results indicate that the farms were competitive in milk production only in 2007 and 2008. The highest profit (0.026 € per 1 kg of milk) was reached in 2007. It was mainly determined by the level of the milk price (+9%) and unit costs (–10%) in the evaluated period. The negative regression to the competitiveness was observed for the feed costs, labour costs, repairs and services, depreciations, other direct costs and overheads. On the other hand, the statistically positive impact of the milk yield was found. Generally, the effective utilization of the production potential of animals should be recommended as the main factor of the unit costs reduction as well as for the improvement of the dairy cattle farms profit.  

2007 ◽  
Vol 2007 ◽  
pp. 148-148
Author(s):  
A. Heravi Moussavi ◽  
M. Danesh Mesgaran ◽  
T. Vafa

Reproduction and milk production are the principal factors that are influencing dairy farm profitability. The dairy industry in Iran has changed dramatically in the last decade. The shift toward more productive cows and larger herds in Iran is associated with a decrease reproductive efficiency (Heravi Moussavi et al., 2004). Increased knowledge about the principal causes of reduced fertility is essential. The root cause of the declining fertility is probably a combination of a variety of physiological and management factors that have an additive effect on reproductive efficiency. Dairy cattle are inseminated and pregnancy is established while dairy cows are lactating. Based on the analyses of large datasets, there is clearly an antagonistic relationship between milk production and reproduction in dairy cattle (Lucy, 2001). It was shown that the hazard ratio for cumulative first 60-day milk yield and conception in high producer cows was 8 percent less than the others and also high milk yield was a risk factor for several reproductive disorders (Grohn and Rajala-Schultz, 2000). The objective of this study was to evaluate the effect of first 60-day cumulative milk yield on days open in Iranian Holstein dairy cows.


Author(s):  
Dorottya Ivanyos ◽  
László Ózsvári ◽  
István Fodor ◽  
Csaba Németh ◽  
Attila Monostori

The aim of the study was to survey the milking technology and to analyse the associations between milking parlour type, herd size, and milk production parameters on dairy cattle farms. The milking technology was surveyed by using a questionnaire in 417 Hungarian dairy herds with 177,514 cows in 2017, and it was compared with their official farm milk production data. The surveyed farms were categorized according to their size (1-50, 51-300, 301-600, and >600 cows) and to their milking parlour types (herringbone, parallel, carousel, and others). The relationships were analysed by multivariate linear models, one-way ANOVA, and Fisher’s exact test. Pairwise comparisons were performed by Tukey’s post hoc tests. The prevailing type of milking parlour was herringbone (71.0 %), but on larger farms the occurrence of parallel and carousel parlours increased (p<0.001). The number of milking stalls per farm increased with herd size (p<0.001). Farms with herringbone parlour had significantly smaller number of milking stalls than that of parallel (p=0.022) and carousel (p<0.001) parlours, and the cows were mostly milked two times, while in carousel milking parlours mostly three times a day. As the herd size increased, so did daily milk yield (p<0.001) and daily milk production per cow (p<0.001). Herd size was associated with somatic cell count (p<0.001). The type of milking parlour showed significant association with daily milk yield (p=0.039) and dairy units with herringbone milking system had the lowest milk quality. Our findings show that herd size has greater impact on milk production parameters than milking technologies.


2006 ◽  
Vol 2006 ◽  
pp. 86-86
Author(s):  
G Wellwood ◽  
J K Margerison

Mastitis is a complex disease causing inflammation of the udder, which has been estimated to cost the dairy farmer between £40-£117/cow per year (Stott et al., 2002). Economic loss occurs as a result of discarded milk, reduced milk yield and milk quality, increased vet costs and an increase in replacement costs. The objective of this study was to examine the effect of breed on the incidence of mastitis and somatic cell counts and milk production capabilities of Holstein Friesian, Brown Swiss and Brown Swiss crossbred cows.


2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 20-20
Author(s):  
Micheal J Brouk

Abstract Dairy farm margin has continued to be a challenge for the dairy industry. Several years of challenging milk prices with limited relief from high feed costs and increasing production cost have continued to erode the net margin of US dairy farms. As dairy producers continue to operate in a challenging economic environment, discoveries are being made in various farm efficiencies to improve farm margin. Increased management intensity on all aspects of the dairy farm is resulting in the discover of and improvement of many individual efficiency factors. Key areas of economic efficiency include feed, animal reproduction, replacement animals, labor and resource allocation. Often the answer to improved efficiency involves more than just reduced production cost, but also in the improvement of production to reduce the cost per unit of milk produced. Identifying and focusing on the important factors that can improve overall farm efficiency will enable producers to weather the economic challenges. For dairy producers, one of the complications is the biology of the dairy cow and understanding how to utilize the biology correctly for improved efficiency of milk production. Improved efficiency of milk production requires attention to details in many areas of the dairy. Identifying the correct areas of deficiencies, establishing corrective plans of action and then careful evaluation of the impact of changes are all key to the overall success of improving dairy farm margins and efficiencies.


2021 ◽  
Vol 9 (08) ◽  
pp. 723-728
Author(s):  
Heman Sarmah ◽  
◽  
Jnanashree Borah ◽  
Tirthankar Sarma ◽  
◽  
...  

The production of milk is conceived of several factors and a very multifarious process. The knowledge of relative importance of the resource inputs influencing in milk production is essential for the dairy farmer for introducing desirable change in his operation at micro level and for the policy maker for formulating plans for improvements in dairy cattle productivity based on sound economic principles at the macro level (Rao, 1985).The income level of the dairy household is determined by the production of milk they produce at their farms. Generally, the income of the dairy household increases when the milk production cost decreases or when the milk production increases .For this it is essential to study the factors which directly or indirectly effect the milk production. Household samples have been selected both from the municipal wards of Guwahati Municipal Corporation area. Out of 672 dairy farming households, 201 household have been selected for the survey. Regression analysis has been used for the study of factors affecting milk production in greater Guwahati region of Assam.


Author(s):  
S. Shupyk

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.


2002 ◽  
Vol 2002 ◽  
pp. 126-126
Author(s):  
H.C.F. Wicks ◽  
J.D. Leaver

The selection of dairy cattle for high milk production is thought to be linked to increased problems with fertility. Most research has concentrated on the influence of actual yields rather than the effect of genetic merit on fertility. It has also been reported that by maintaining a high level of herd management the reproductive efficiency problems associated with high milk production can be removed (Nebel and Gilliard, 1993). The current work estimated the influence of genetic merit (defined as PIN95), 90-day daily milk yield, deviation from herd mean 305-day milk yield and body condition score on fertility, in an attempt to assess whether actual yield has more effect than potential yield as indicated by genetic merit.


1992 ◽  
Vol 72 (2) ◽  
pp. 227-236 ◽  
Author(s):  
S. Wang ◽  
G. L. Roy ◽  
A. J. Lee ◽  
A. J. McAllister ◽  
T. R. Batra ◽  
...  

Early first lactation data from 2230 cows of five research herds of Agriculture Canada were used to study the interactions of genetic line by concentrate level, and sire by concentrate level and to estimate breeding values of sires. The genetic lines were defined as Holstein (H), Ayrshire (A), and H × A or A × H (C). The interactions of sire by concentrate level were studied separately using progeny of five different mating groups: G1, H sires mated to H cows; G2, H sires mated to H, A and C cows; G3, A sires mated to A cows; G4, A sires mated to H, A and C cows; and G5, C sires mated to C cows. The interactions of genetic line by concentrate were significant (P < 0.05) for 56- to 112-d milk yield (MY112), corrected 56-to 112-d milk yield (CMY112) and feed efficiency (EFMY112 = MY112/TDN consumption). H and C cows produced more milk and were more efficient than A cows when fed high levels of concentrate. The H cattle possess a greater capacity to convert the concentrate into milk, while A cattle reach maximum milk production earlier than H cattle. The interactions of sire by concentrate were statistically significant for MY112, EFMY112 and CMY112 in G1 (P < 0.01), and G2 (P < 0.01). The breeding values of sires for MY112 were estimated using BLUP for all of the H line (BLUP-T), for half of the population consuming low amounts of concentrate (BLUP-L) and for the other half consuming high amounts (BLUP-H). A significant reranking of sires was found among the three groups. Key words: Genotype × environment interaction, milk production, efficiency, breeding value, dairy cattle


2007 ◽  
Vol 6 (sup1) ◽  
pp. 153-155
Author(s):  
N. P. P. Macciotta ◽  
F. Miglior ◽  
A. Cappio-Borlino ◽  
L. R. Schaeffer

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