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• Analytical overview of dairy industry in the Poltava region, Ukraine

  47-51

  Anna Gereles

  Views:

  136

  The author presents essential characteristics of the state and place of Poltava region in it. The study aims at identification and description of latest trends in Ukraine’s and Poltava’s dairy industry. The author stresses an important place of the dairy industry in the agriculture of Ukraine, and particularly in the Poltava region. This article also presents the information of main indicators of dairy industry of Ukraine in the comparison with other countries of the World. It describe sources of forming the main agricultural products and directions of their use for the calendar year, data on per capita consumption of main dairy products in Ukraine and the Poltava Region and per capita average daily consumption of basic micro- and macro elements in foods. The study contains basic indicators which characterize the social and economic state of agriculture in Ukraine and its regions for 1990–2012. There are also the data of gross production and main kinds of dairy products per capita and as well as some indicators of livestock’s productivity and so on.

  The goal of the article is to describe the complex evaluation of the achieved level of milk production, consumption of milk and dairy products in Ukraine and the Poltava Region, to show the specifics of the national dairy cattle breeding, identifying the main challenges in it.

• Upgrading breeding value estimation in beef cattle

  451-458

  Ferenc Szabó

  Márton Szűcs

  Károly Tempfli

  Berry Donagh

  Views:

  240

  This paper gives a summary of the possibility for applying genomic information for breeding value estimation in beef cattle breeding. This process is called genomic prediction and is now widely used in dairy cattle globally as well as in some beef and sheep populations. The advantage of genomic prediction is a more accurate estimate of the genetic merit of an individual at a young age thereby facilitating greater annual genetic gain, predominantly through shorter generation intervals. Genomic predictions are more advantageous for sex-linked (e.g., milk yield), low heritability (e.g., fertility) and difficult-to-measure (e.g., feed intake) traits. The larger the reference population, on average, the more accurate the genomic predictions; additionally, the closer genetically the reference population is to the candidate population, the greater the accuracy of genomic predictions. Research is continuing on strategies to generate accurate genomic predictions using a reference population consisting of multiple breeds (and crossbred). Retrospective analysis of real-life data where genomic predictions have been operation for several years clearly shows a benefit of this technology.

• Effect of the claw disorders on production performance in dairy cattle

  15-19

  Michal Vlček

  Radovan Kasarda

  Views:

  209

  The aim of the study was the influence of claw disorders on production traits in dairy cattle. Observed were claw traits as claw angle, claw length, heel index, claw height, claw diagonal and claw width. Right hind claw after functional trimming was evaluated. Occurrence of claw disorders like interdigital dermatitis and heel erosion (IDHE), digital dermatitis (DD) and sole ulcer (SV) as well as the progress of disease were observed. Basic summary and variation statistics was performed by the SAS software. Two herds were included in the study. Holstein dairy cows (n=101) produced 11 875 kg of milk, 468 kg (3.94%) of fat and 396 kg (3.34%) of proteins. Holstein cows were affected with IDHE in 22 cases, with DD in 6 cases and with sole ulcer in 10 cases. Slovak Simmental dairy cows (n=101) produced 5834 kg of milk, 258 kg (4.44%) of fat and 209 kg (3.59%) of proteins. Slovak Simmental cows were affected with IDHE in 8 cases, with DD in 5 cases and with sole ulcer in 19 cases. Observed was that claw disorders caused deviations of milk production.

• Analyzing the Efficiency of Dairy Farms by Using the Method of Data Envelopment Analysis (DEA)

  17-21

  Tímea Gál

  Gábor Grasselli

  István Komlósi

  Views:

  116

  In Hungary the dairy sector is in a long-term critical period, the stock has been in constant decline. The consumption of milk and dairy products in Hungary is slightly rising compared to the world tendency, and it is fallen behind the level in 1990. The milk consumption per capita in 2006 was with 75 liters less than the EU-15 average. Dairy enterprise is a very risky activity: the profitability of the enterprise is affected by the fluctuation of feed and animal health products prices from the side of inputs, and by the fluctuation of end-product prices. Under these circumstances it is vital for the
  cattle breeders, in order to survive, to harness the reserves in the breeding as effectively as possible. In our research we made a multi-faceted efficiency analysis of an agricultural holding’s three dairy farms. The chosen method for the analysis was Data Envelopment Analysis (DEA). The
  selection of the method is justified by the fact that there is not such a reliable database by which we could define production functions, and that DEA makes possible to manage several inputs and outputs, i.e. multiple decision problems, simultaneously. By using DEA the sources that causes shortfalls can be identified, analyzed and quantified on farms that does not operate efficiently, thus it can help the corporate decision support successfully. In the model inputs are the cost data per one liter milk – feed, medicinal product use, logistic costs -, and the main parameters
  concerning the keeping and rearing. Outputs are indicators concerning milk production, milk quality and others. We prepared the model in MS Excel, the linear programming model series were programmed by Visual Basic. After solving the model, in light of the shadow prices we can determine why either of the farms is not efficient.

• Correlation between body condition change and reproduction parameters of Holstein-Frisian cows after calving

  49-52

  Edit M. J. Jónás

  Imre Mucsi

  István Komlósi

  Views:

  125

  The authors examined the body condition with relation to reproduction of Holstein-Friesian cows on three dairy farms in the South Plain region. During the examination they analyzed the data of 516 births of 494 Holstein-Friesian cows. They were trying to find correlation between the first service, the service period and the service rates. The examinations with regard to the correlations were different from the ones published in the professional literature. The body condition at the time of calving affected the interval from calving to the first service but not the conception
  rates or the service period. The examinations did not prove any correlations between body condition changes and reproduction.

• The trend of cowmilk yield, its compostion and the body condition during the lactation

  69-73

  Edit Mikó Józsefné Jónás

  Imre Mucsi

  István Komlósi

  Views:

  144

  The authors examined the data of 2767 trial milkings andthe months Body Condition Scores of 479 Holstein dairy cows. The condition loss was significant between the 30-60th days. The improvement of BCS begins only after the 120th day. The change in the milk protein and milk fat content were close after the condition changing. In each period of the lactation the closeness of the relationship among the condition, the milk quantity and the milk composition were different. In the aspect of the milk quantity the most significant difference was between the 2.5 and 4 BCS cows (6.68 kg) in the last period of the lactation.