...5); font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial;">The paper studies two nucleus pig farms in the Great Plain region of Hungary which have same management, same feeding system but different breeding technology (Farm A had solid floor with straw and Farm B had slatted floor without straw). The genetics of sows were crossbred Dutch Large White and Dutch Landrace. The comparative examination was based on the causes of culling according to the different floor type. To the analysis of culling reasons was applied the methods of survival analysis.
I prepared a “model farm” producing fattening pigs in order to examine the main risk of production and market factors affecting the profitability of fattening pig production. Values of body weight (at the beginning of fattening and at the end of fattening), mortality rate, feed conversion ratio (FCR) of fattening pig as well as the main cos...t and price data were recorded as the input data of the model. Production value per unit, production cost per unit and income per unit were used as output. The Monte-Carlo simulation was used in the model for risk assessment. Based on the results of the analysis, it was concluded that the production value per unit was most affected by the selling price of fattening pig (ß=0.972), the production cost per unit were most influenced by the body weight at the beginning of fattening (ß=0.567) and the feed conversion ratio (ß=0.537), in addition, the change of the income per unit was most determined by the previously factors.
Sow longevity plays an important role in economically efficient piglet production. Improving sow longevity results increase in the productivity and profitability of a sow herd. Longevity is a complex trait with many factors that can contribute to a sow having a long and productive life. Not only the sow’s genetics, but also nutrition, environ...ment and the management policies are important. In addition, the removal of non-productive sows along with the introduction of replacement gilts is an essential part of maintaining herd productivity at a constantly high level. The objective of this paper was to summarize the current knowledge about the sow longevity and lifetime performance values, as well as, discusses the survival analysis methods for sow longevity traits. This method can estimate the hazard rate indicating proportional risk of sows being culled at any given time, in addition, it is able to investigate the effects of different factors on longevity. Identifying factors that influence the longevity could assist many commercial pig producers in becoming more efficient.