Literature DB >> 30878082

Patent infections with Fasciola hepatica and paramphistomes (Calicophoron daubneyi) in dairy cows and association of fasciolosis with individual milk production and fertility parameters.

Katharina May1, Kerstin Brügemann2, Sven König2, Christina Strube3.   

Abstract

Infections with the liver fluke Fasciola hepatica may result in considerable economic losses in the dairy livestock industry worldwide. Infections have been associated with detrimental impacts on milk production and milk quality as well as reduced fertility. However, most related data rely on examinations on herd level and the rather few studies on individual cow level are based solely on antibodies as measure for F. hepatica infections. This entails the risk of including false-positives as anti-F. hepatica antibodies persist for months even if the infection is cleared. Therefore, the presented study aimed to overcome this issue by assessing the association between F. hepatica infections measured via faecal egg counts (FEC) and milk production as well as fertility parameters in individual dairy cows. In total, 2006 faecal samples from 1166 Black and White dairy cows from 17 small and medium-sized German grassland farms were examined in July and September 2015. The relationship between patent F. hepatica infections and the milk production parameters milk yield, milk protein content, milk fat content and somatic cell score (SCS) was assessed in a linear mixed model using test-day records of individual cows. Patent F. hepatica infections were found on 35.3% (7/17) of farms with an individual cow prevalence of 10.1% (97/963) in July and 9.1% (95/1036) in September. Patent rumen fluke infections were detected on 17.6% (3/17) farms with an individual cow prevalence of 0.4% (4/963) in July and 0.7% (9/1036) in September. No significant association was found between F. hepatica infection status and either SCS as an indicator of udder health or milk production parameters, despite 0.06 and 0.10% lower values for milk protein and fat content in patently infected cows. Linear mixed models and generalized linear mixed models were established to estimate the impact of fasciolosis on the fertility parameters calving to first service (CTFS), calving interval (CI), success in first insemination (SFI) and 56-day nonreturn rate (NRR56). A significantly higher average CTFS of 4.69 days was detected in F. hepatica infected cows (P = 0.025), but no significant relationship was found for the other fertility parameters.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Calicophoron daubneyi; Dairy cows; Fasciola hepatica; Fertility; Liver fluke; Milk production; Rumen fluke; Somatic cell count

Mesh:

Year:  2019        PMID: 30878082     DOI: 10.1016/j.vetpar.2019.01.012

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


  6 in total

1.  Pathogenicity and virulence of the liver flukes Fasciola hepatica and Fasciola Gigantica that cause the zoonosis Fasciolosis.

Authors:  Richard Lalor; Krystyna Cwiklinski; Nichola Eliza Davies Calvani; Amber Dorey; Siobhán Hamon; Jesús López Corrales; John Pius Dalton; Carolina De Marco Verissimo
Journal:  Virulence       Date:  2021-12       Impact factor: 5.882

2.  DNA barcoding of rumen flukes (Paramphistomidae) from bovines in Germany and Austria.

Authors:  Sandra Wiedermann; Josef Harl; Hans-Peter Fuehrer; Sandra Mayr; Juliane Schmid; Barbara Hinney; Steffen Rehbein
Journal:  Parasitol Res       Date:  2021-10-18       Impact factor: 2.289

3.  Rumen and Liver Fluke Infections in Sheep and Goats in Northern and Southern Germany.

Authors:  Uta Alstedt; Katja Voigt; Miriam Carmen Jäger; Gabriela Knubben-Schweizer; Yury Zablotski; Christina Strube; Christoph Wenzel
Journal:  Animals (Basel)       Date:  2022-03-30       Impact factor: 2.752

4.  Estimating the burden of multiple endemic diseases and health conditions using Bayes' Theorem: A conditional probability model applied to UK dairy cattle.

Authors:  Philip Rasmussen; Alexandra P M Shaw; Violeta Muñoz; Mieghan Bruce; Paul R Torgerson
Journal:  Prev Vet Med       Date:  2022-03-28       Impact factor: 3.372

5.  A machine learning approach using partitioning around medoids clustering and random forest classification to model groups of farms in regard to production parameters and bulk tank milk antibody status of two major internal parasites in dairy cows.

Authors:  Andreas W Oehm; Andrea Springer; Daniela Jordan; Christina Strube; Gabriela Knubben-Schweizer; Katharina Charlotte Jensen; Yury Zablotski
Journal:  PLoS One       Date:  2022-07-11       Impact factor: 3.752

6.  Pasture rewetting in the context of nature conservation shows no long-term impact on endoparasite infections in sheep and cattle.

Authors:  Katharina May; Katharina Raue; Katrin Blazejak; Daniela Jordan; Christina Strube
Journal:  Parasit Vectors       Date:  2022-01-21       Impact factor: 3.876

  6 in total

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