[An attempt to create a factorial model of the epizootic process in sheep infected with S. abortus ovis].
K Vodas, P Elitsina, M Paranzhilova
Abstract
K Vodas, P Elitsina, M Paranzhilova
Abstract
Experiments were carried out to build up a factorial model with a group of sheep at different age in an infected region. Studied were the aspects of the disease as caused by Salmonella abortus ovis alone and in combination with Chl. ps. var. ovis. It was found that the factorial model can explain sufficiently well (77.22 per cent) the discussed system--the epizootic process with year-old females and sheep affected with pure and mixed infection. The epizootic process with a mixed infection in these animals ran its course at high intensity. In the case of a pure infection the process was more intensive with young females. With lambs it showed higher intensity when a mixed infection was present.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Experiments were carried out to build up a factorial model with a group of sheep at different age in an infected region. Studied were the aspects of the disease as caused by Salmonella abortus ovis alone and in combination with Chl. ps. var. ovis. It was found that the factorial model can explain sufficiently well (77.22 per cent) the discussed system--the epizootic process with year-old females and sheep affected with pure and mixed infection. The epizootic process with a mixed infection in these animals ran its course at high intensity. In the case of a pure infection the process was more intensive with young females. With lambs it showed higher intensity when a mixed infection was present.
Key concepts: Epizootic, Ovis, Biology, Factorial experiment, Veterinary medicine, Factorial, Animal science, Virology