scholarly journals Análisis de la calidad de la leche en un modelo microeconómico multi-output: El papel de la genética

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.

2003 ◽  
pp. 293-296
Author(s):  
András Vántus

Joining the European Union Hungarian producers have advantages but they need to solve some problems too. Only those producers can compete who will be able to produce extra quality milk. However the circumstances of milk production are not up to the task.The author examined the work organization of 7 dairy farms in Hajdú-Bihar County. Data were collected about the situation of farms, equipment of barns, objets of production, work force, qualification of workers, and productivity of work. He examined the applied motivation methods at farms. He concluded that as the number of cows per farm increases work productivity increases too. From the examination it appeared that family farms applied different motivation system from bigger producer organizations. The author put forward proposals for motivation possibilities to improve milk quality, atmosphere, and general feeling of workers.


Mljekarstvo ◽  
2021 ◽  
Vol 71 (3) ◽  
pp. 194-203
Author(s):  
Khaoula Attia ◽  

In Tunisia, dairy farming faced several problems limiting the improvement of the milk sector, mostly at the level of small farmers. These difficulties are related to the milk quality affected by the feed quality distributed throughout the year. This study aimed to evaluate the effect of rations and seasons on daily individual milk production (DIMP) and some physicochemical characteristics (Fat content: FC, Protein content: PC, Urea concentration: UC, Total Solids: TS). A survey and milk samplings were performed on 135 farmers. Collected data were treated by the variance analysis using the GLM procedure of the SAS system. This study allowed to identify four types of ration: TR1: Concentrate (CC)+Green Forage(GF), TR2: CC+Dry Forage (DF), TR3: CC+GF+DF and TR4: Diet containing Silage (S), used by farmers with the frequencies of 14.82, 37.19, 44.6 and 3.38 % respectively. The highest DIMP (P<0.0001) was obtained by TR1 (17.3 kg/day) and the lowest (13.6 kg/day) by TR2. TR4 allowed FC, PC (P<0.05) and TS (P<0.01) higher (3.84, 3.14 and 12.31 % respectively) than those obtained in the other rations. The UC (P<0.0001) was the highest in TR1 and TR3 (32.05 mg/dL) followed by TR4 (28.3 mg/dL) and TR2 (26.2 mg/dL). Concerning the season effect, the highest DIMP (P<0.0001) was obtained during spring (17.7 kg/day), the lowest was during autumn (13.1 kg/day). The FC (P<0.05) was the lowest in winter (3.52 %). The PC (P<0.01) was higher during autumn and winter (averaged 3.07 %). The UC (P<0.0001) was the highest in spring (32.23 mg/dL) and the lowest in autumn (25.67 mg/dL). It was concluded that milk parameters were in the acceptable ranges comparatively to the national averages.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
S. H. Gwandu ◽  
H. E. Nonga ◽  
R. H. Mdegela ◽  
A. S. Katakweba ◽  
T. S. Suleiman ◽  
...  

Milk quality depends on the physicochemical characteristics, hygienic standards, and nutritional quality; however, animal husbandry practices, unhygienic harvesting and processing, may affect its quality. A cross-sectional study was conducted between August 2010 and July 2011 to assess the hygiene of cow milk production environment, raw cow milk physicochemical characteristics, and microbial quality and estimate the prevalence of antimicrobial residues using standard methods in Pemba Island. A total of 98 raw cow milk samples from selected smallholder dairy farms were analyzed, and the judgement on the quality used the East African Standards. Generally, the milk production chain was done under the unhygienic condition, and dirty plastic containers were used for collection and storage of milk under room temperature. Some milk samples had abnormal colour (2.1%), abnormal smell (7.1%), and pH below normal (35.7%), clotted on alcohol test (9.2%), and had the specific gravity below normal (13.3%). All the milk samples had mineral contents within the recommended range. Milk samples with butterfat below normal were 29.6%, while 14.3% had total solids below recommended values. The mean total viable count (TVC) of milk container surfaces was9.7±10.5 log CFU/100 cm2, while total coliform count (TCC) was7.8±8.5 log CFU/100 cm2. Up to 55.1% of milk had TVC beyond the recommended levels. The milk mean TVC was11.02±11.6 log CFU/ml and TCC was6.7±7.3 log CFU/ml. Up to 26.5% of milk samples had the TCC beyond levels. Results on physicochemical characteristics and nutritional analysis show that the raw cow milk in Pemba Island is of inferior quality. Microbiological results of this study imply heavy contaminations of milk. Antimicrobial residues were detected in 83% of the samples and most of them were from Wete District. Unhygienic milk production chain accelerates microbial contaminations, and antimicrobial residues in milk are a big problem that needs urgent attention from the responsible authority.


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

Author(s):  
Ni Nyoman Suryani ◽  
I Wayan Suarna ◽  
Ni Putu Sarini ◽  
I Gede Mahardika

To determine the effect of energy levels on digestible nutrient, milk production and milk quality of 7 months pregnant Bali cattle, was the purpose of this study. The study was conducted in Bali, Province of Indonesia on 12 pregnant breeding phase of pre-calving (2 months before the birth) with the parent body weight 329-340 kg/head. The treatment given is four types of Metabolizable Energy (ME) levels: 2000, 2100, 2200 and 2300/kg respectively as treatment A, B, C, and D. All ration contain 10% of crude protein. Variables measured: energy intake, digestible nutrient, milk yield, and milk quality. This research is a randomized block design. The results showed that increase energy ration until 2300 kcal ME/kg would significantly (P<0.05) increase energy intake and highest at cattle consumed ratio D is 22239.55 kcal/day. However, digestible nutrient was not affected. Milk production increased with increasing energy rations and highest (P<0.05) at cattle received treatment D is 2179.83 ml/day compared to treatment A 936.67 ml/day. Milk fat and milk lactose also highest (P<0.05) in treatment D are 8.56% and 4.76% respectively. Based on these results, it can be concluded that increase energy ration will increase energy intake, milk yield and milk fat and milk lactose of Bali cattle. 


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.


2019 ◽  
Vol 43 (3) ◽  
pp. 323-333 ◽  
Author(s):  
Nazha LAKRAM ◽  
Sana MOUTIK ◽  
Ikram MERCHA ◽  
El Haj El MAADOUDI ◽  
Rachid KABBOUR ◽  
...  

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.


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