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| Kovacs, Sandor; Ertsey, Imre; Balogh, Peter. |
| In order to analyse risks and to choose from different decision-making strategies simulation models are often applied in several areas of animal breeding. We developed an improved Monte Carlo model for analysing laying hen breeding combined with Bayes statistics. On the basis of data from a company breeding broiler parents, our paper examines the technological and economic risks of breeding a laying-hen stock with a simulation program developed by our team. During modelling we take individual cost elements and the most significant factors (different forage costs, price of sold eggs, unsuitable eggs, installing day-old chicks and old animals) affecting returns into consideration. The results can be presented in tables and graphs for both sexes as well.... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Monte Carlo; Risk analysis; Chicken production; Bayessian statistics; Foraging; Livestock Production/Industries. |
| Ano: 2007 |
URL: http://purl.umn.edu/7798 |
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