Some Questions of the Competitiveness of Hungarian Sheep-breeding

The authors did economic calculations examining the possibilities for the raise of rentability in Hungarian sheep-breeding sector. It was been counting with a flock of 300 ewes. While analysing four models were set up. The first represents the economic parameters of the present average and in a certain way traditional sheep-farming. This model, which symbolises the present situation, is able to provide maximum 47,827 HUF income for a sheperd, parallel with a loss of 843,495 HUF. The second model shows the possible production of the Hungarian merino flocks determined by its genetically limited productivity and technology. It ensures the opportunity to spend 550,000 HUF to expansion above average rental. This amount might be increased with a yearly subsidy of 450,000 HUF plus the 831,610 HUF extra EU payments. The third model is based on the results of an upgrade with prolific breeds in order to better meat performance. The possible result in this case was 1,324,412 HUF, which sum would be supplemented with the subsidies and direct EU payments. The professional management of milking stocks may raise the net income with extra 600,000 HUF. (Model number four)

Connection Between Body Composition and Milk Production of Lacaune Sheep

Five, non-related, female and male progeny groups of rams were qualified in their body composition and milk production characteristics. Body composition characteristics (fat tissue, muscle tissue and water dense substances) were examined on 38 rams-to-be in 38-48 live weight with CT. Milk production data were collected from the half-sisters (n=106). According to our judgement the influence of rams can be proven statistically in both production characteristics. As we have found close (in order: r = -0,786 and r = 0,721; P<0,05) connection between daily milk production and the areas of muscle tissue and water dense substances of the carcass measured by CT, we suggest taking the correlation between them into consideration in the selection of milk production. To get a precise prediction equation, further examinations are needed