Literature DB >> 29559160

A multivariate approach to the diagnosis of gastrointestinal infection in ewes.

Josiel Borges Ferreira1, Renato Diógenes Macedo Paiva2, Ana Carla Diógenes Suassuna Bezerra3, José Ernandes Rufino de Sousa3, Débora Andréa Evangelista Façanha3.   

Abstract

Diagnosing the effects of helminth infections is an efficient way to manage the problem in ruminant production systems. Selection of animals in a flock that are infected with Haemonchus has traditionally involved differential packed cell volume measurements (PCV), and in recent years, the FAMACHA© system has been used. However, few small analytical changes have been made. The objective of this study was to examine the influence of different diagnoses linked to packed cell volume (PCV) and FAMACHA© system scores in native ewes, using a multivariate approach. Ewes were classified into three categories according to their score in the FAMACHA© system (FS) and their packed cell volumes (PCV) as follows: Group AG (FS between 1 and 2 and PCV ≥ 30%); Group BG (FS score of 3 and PCV between 21 and 29%); Group CG (FS between 4 and 5 and PCV ≤ 20%). The animals were evaluated using performance characteristics, parasitological examinations, blood values and serum biochemistry. The data show that the use of a multivariate approach for different diagnoses using the FAMACHA© system and PCV measurements gives similar results, although they have particular pathophysiological indicator patterns.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Adaptation; FAMACHA(©)system; Native sheep; Pathophysiological indicators; Principal components analysis

Mesh:

Year:  2018        PMID: 29559160     DOI: 10.1016/j.vetpar.2018.02.015

Source DB:  PubMed          Journal:  Vet Parasitol        ISSN: 0304-4017            Impact factor:   2.738


  1 in total

1.  Adaptive profile of dairy cows in a tropical region.

Authors:  Angela Maria de Vasconcelos; Cleverton Caçula de Albuquerque; Jefferson Ferreira de Carvalho; Débora Andréa Evangelista Façanha; Fátima Révia Granja Lima; Robson Mateus Freitas Silveira; Josiel Ferreira
Journal:  Int J Biometeorol       Date:  2019-09-04       Impact factor: 3.787

  1 in total

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