scholarly journals EC Milk Production Control Policies and Its Effect to Dairy Farms in Selected Member Countries

1994 ◽  
Vol 30 (3) ◽  
pp. 112-120
Author(s):  
Kohei Kobayashi
1983 ◽  
Vol 1 (3) ◽  
pp. 201-213 ◽  
Author(s):  
J.P.T.M. Noordhuizen ◽  
A. Brand ◽  
P. Dobbelaar ◽  
H. Wilbrink

2007 ◽  
Vol 22 (1) ◽  
pp. 50-60 ◽  
Author(s):  
Marek Wroński ◽  
Marek Cichocki ◽  
Katarzyna Borkowska ◽  
Jan Redmer

Author(s):  
Sylwia Małażewska ◽  
Edyta Gajos

The aim of the article was to present the changes in the profitability of milk production in farms associated in EDF and situated in Poland and selected European countries in 2006–2012. It was found that after the Polish accession to the EU, the situation has improved for milk producers – economic and production results have risen. In 2008–2009, there was a significant deterioration in the profitability of milk production due to, among others, significant declines in milk prices. Since 2010, gradual improvement of the situation is observed. Similar changes occur in dairy farms in other European countries, such as Germany, France and the United Kingdom. This shows how big the interconnectedness between countries is and that the situation of agricultural producers in Poland does not depend only on the local and national market fluctuations, but primarily on fluctuations in the European and global markets.


2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Lelia Murgia ◽  
Giuseppe Todde ◽  
Maria Caria ◽  
Antonio Pazzona

Dairy farming is constantly evolving towards more intensive levels of mechanization and automation which demand more energy consumption and result in higher economic and environmental costs. The usage of fossil energy in agricultural processes contributes to climate change both with on-farm emissions from the combustion of fuels, and by off-farm emissions due to the use of grid power. As a consequence, a more efficient use of fossil resources together with an increased use of renewable energies can play a key role for the development of more sustainable production systems. The aims of this study were to evaluate the energy requirements (fuels and electricity) in dairy farms, define the distribution of the energy demands among the different farm operations, identify the critical point of the process and estimate the amount of CO2 associated with the energy consumption. The inventory of the energy uses has been outlined by a partial Life Cycle Assessment (LCA) approach, setting the system boundaries at the farm level, from cradle to farm gate. All the flows of materials and energy associated to milk production process, including crops cultivation for fodder production, were investigated in 20 dairy commercial farms over a period of one year. Self-produced energy from renewable sources was also accounted as it influence the overall balance of emissions. Data analysis was focused on the calculation of energy and environmental sustainability indicators (EUI, CO2-eq) referred to the functional units. The production of 1 kg of Fat and Protein Corrected Milk (FPCM) required on average 0.044 kWhel and 0.251 kWhth, corresponding to a total emission of 0.085 kg CO2-eq). The farm activities that contribute most to the electricity requirements were milk cooling, milking and slurry management, while feeding management and crop cultivation were the greatest diesel fuel consuming operation and the largest in terms of environmental impact of milk production (73% of energy CO2-eq emissions). The results of the study can assist in the development of dairy farming models based on a more efficient and profitable use of the energy resources.


2011 ◽  
Vol 5 (10) ◽  
pp. 3 ◽  
Author(s):  
Antonio Álvarez ◽  
Carlos Arias ◽  
David Roibás

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.


Management ◽  
2016 ◽  
Vol 20 (2) ◽  
pp. 473-486
Author(s):  
Marta Guth

Summary The main aim of the considerations was to determine the factors determining the variability of milk production in selected macroregions of the European Union. The regions were selected on the basis of the analysis of the diversity of dairy farms FADN in the regions of the European Union, which was determined by the agglomeration cluster analysis using Ward method. In order to highlight the determinants of production there was factor analysis made. On the basis of the results of factor analysis there were factors that have a decisive impact on milk production in dairy farms from areas with a predominance of intensive production identified, and there was a possibility to find out which macro-regions of the European Union reached a relatively best and worst performance in terms of the distinguished factors.


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