MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1111/j.1751-0813.1990.tb07746.x

Медицинская библиотека · Australian veterinary journal · 1990

An assessment of a composite sampling method for counting strongyle eggs in sheep faeces.

Baldock F C, Lyndal-Murphy M, Pearse B

Сравнительное исследованиеСтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

The conventional method for estimating the average strongyle egg count for a group of sheep was compared with a single count from a group composite faecal sample. Sixty-one groups of field samples were used. Composite samples were prepared in the laboratory by pooling equal amounts of faeces from individual samples. Data were logtransformed for analysis to meet the assumption of normality. There were no significant differences in the variances and overall mean counts obtained by the 2 methods. The regression line of log (composite count) on log (group arithmetic mean) did not differ significantly from the line of identity. When untransformed egg count data were categorised as low, moderate and high, the 2 methods were in agreement for 53 of the 61 groups. The mixing and counting process used for both methods (modified McMaster technique) gave highly repeatable results (repeatability = 0.94). The composite method was a quicker and valid alternative to the conventional method for monitoring helminthosis in sheep flocks.

Для цитирования: Baldock F C, Lyndal-Murphy M, Pearse B. An assessment of a composite sampling method for counting strongyle eggs in sheep faeces.. Australian veterinary journal. 1990. DOI: 10.1111/j.1751-0813.1990.tb07746.x.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.