Effect of timing of count events on estimates of sea lice abundance and interpretation of effectiveness following bath treatments

Gautam, R and Vanderstichel, R and Boerlage, A S and Revie, C W and Hammell, K L (2017) Effect of timing of count events on estimates of sea lice abundance and interpretation of effectiveness following bath treatments. Journal of fish diseases, 40 (3). pp. 367-375. ISSN 0140-7775

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    Abstract

    Effectiveness of sea lice bath treatment is often assessed by comparing pre- and post-treatment counts. However, in practice, the post-treatment counting window varies from the day of treatment to several days after treatment. In this study, we assess the effect of post-treatment lag time on sea lice abundance estimates after chemical bath treatment using data from the sea lice data management program (Fish-iTrends) between 2010 and 2014. Data on two life stages, (i) adult female (AF) and (ii) pre-adult and adult male (PAAM), were aggregated at the cage level and log-transformed. Average sea lice counts by post-treatment lag time were computed for AF and PAAM and compared relative to treatment day, using linear mixed models. There were 720 observations (treatment events) that uniquely matched pre- and post-treatment counts from 53 farms. Lag time had a significant effect on the estimated sea lice abundance, which was influenced by season and pre-treatment sea lice levels. During summer, sea lice were at a minimum when counted 1 day post-treatment irrespective of pre-treatment sea lice levels, whereas in the spring and autumn, low levels were observed for PAAM over a longer interval of time, provided the pre-treatment sea lice levels were >5-10.

    Author(s):Gautam, R, Vanderstichel, R, Boerlage, A S, Revie, C W ORCID logoORCID: https://orcid.org/0000-0002-5018-0340 and Hammell, K L
    Item type:Article
    ID code:64880
    Notes:© 2016 John Wiley & Sons Ltd.
    Keywords:animals, aquaculture, copepoda, ectoparasitic infestations, female, fish diseases, male, New Brunswick, population density, salmon, Aquaculture. Fisheries. Angling, veterinary (miscalleneous), Aquatic Science
    Subjects:Agriculture > Aquaculture. Fisheries. Angling
    Department:Faculty of Science > Computer and Information Sciences
    Depositing user: Pure Administrator
    Date deposited:26 Jul 2018 14:03
    Last modified:15 Jan 2020 04:36
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/64880
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