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  • Associations analysis of production traits with leptin gene T3469C polymorphisms in pig
    39-43
    Views:
    137

    The aim of this study was to define the connection between the leptin (LEP) gene T3469C polymorphism and its potential association with production traits in improved hybrid pigs. The study included data from 397 gilts and barrows from 2 different sample. The polymorphism was identified by using the polymerase chain reaction-restriction fragment-length polymorphism (PCR–RFLP) method with HinfI restriction enzyme. Two alleles of LEP gene were identified: T (0.93) an C (0.07). The analysis of values of production traits, depending on LEP genotype did not reveal significant (P≤0.05) differences. In the examination the loin diameter (between the 2nd and 3rd ribs), the live weight at slaughter and the averege daily gain during fattening were higher at pigs with C allele than pigs with TT genotipe. Accordingt to our data the effect of C allele was favourable in this population, because these animals had bigger bodyweight without valuable change of lean meat percent.

  • Production and economic risk analysis of pig fattening
    171-176
    Views:
    116

    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 cost 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.