University of Veterinary Science

About: University of Veterinary Science is a education organization based out in Pyinmana, Myanmar. It is known for research contribution in the topics: Population & Feed conversion ratio. The organization has 597 authors who have published 650 publications receiving 14262 citations.

Changes induced in newborn piglets by the trichothecene toxin T-2.

Abstract: Three pregnant sows, being in the last quarter of gestation, were used in an experiment to study the changes induced in newborn piglets by T-2 toxin. One sow was used as control (C). The other two received 24 mg (sow A) and 6 mg (sow B) T-2 toxin, respectively, mixed in the feed, daily, up to the time of farrowing. The piglets of sow A became ill by 48-72 h after birth, while the litters of sow B and C remained healthy. The clinical symptoms included faintness, diarrhoea, decreased blood glucose level, and collapse followed by death. The milk and urine of sow A and the stomach contents of affected and dead piglets contained T-2 toxin and its metabolites. Pathological changes seen at necropsy included acute enteritis, degeneration of the liver and kidneys, and oedema of the mesentery. The stomach was filled with clotted milk. Histopathological and electron-microscopic findings consisted of reduced glycogen content and pathological simple fatty infiltration of the liver cells, lymphocyte depletion and necrosis in the lymphoid follicles of the intestinal mucosa, atrophy of the thymic cortex, and hyperfunction of the adrenal and thyroid glands compared to the control.

Analysis of experimental data with repeated measurements

Abstract: Experimental data often consist of serial measurements on subjects after a treatment. Typical questions concerning such data are: (A) Do subjects really react to treatment or are the fluctuations just random? (B) What are the numerical characteristics of the response? (C) Is the response identical in all groups? Differences between the individuals in the dynamics of the reaction make it difficult to apply standard statistical procedures. This paper proposes to answer questions (A) and (B) at the individual level, then to give an answer to (C) on the basis of this information. This kind of analysis may be useful since it can separate subjects giving response from those that do not and can identify individual response patterns and compare treatments with respect to each numerical characteristic separately. To answer question (A), a permutation test is proposed and its power is evaluated by simulation.