Quantifying key parameters related to the life cycle of Caligus rogercresseyi
Jeong, Jaewoon and McEwan, Gregor F. and Arriagada, Gabriel and Gallardo‐Escárate, Cristian and Revie, Crawford W. (2022) Quantifying key parameters related to the life cycle of Caligus rogercresseyi. Journal of Fish Diseases, 45 (1). pp. 219-224. ISSN 0140-7775 (https://doi.org/10.1111/jfd.13535)
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Abstract
The salmon louse Caligus rogercresseyi (Boxshall and Bravo 2000) is a common ectoparasite of farmed salmonids in Chile. Sea lice can negatively impact the growth of hosts, adversely affecting aquaculture productivity. Unlike Lepeophtheirus salmonis (Krøyer, 1838), whose life cycle parameters have been well studied due to its importance in the Northern Hemisphere, for C. rogercresseyi no single source exists that quantifies the parameters required to model this ectoparasite's life cycle. Given that different species of sea lice have substantially different biological characteristics, it is important to parameterize the life cycle of C. rogercresseyi using appropriate observational data, rather than simply trying to adapt parameters developed for L. salmonis. Using data from existing literature, we quantified the development and survival rates for each stage in the C. rogercresseyi life cycle. We illustrate how development rates are affected by water temperature and explore the important impacts of salinity on rates of survival. We present equations that can be used to model development periods and survival proportions given certain water temperature and salinity profiles. While key parameters to quantitatively model the life cycle of C. rogercresseyi are presented, further research is required to adequately model the complete population dynamics of this ectoparasite on Chilean salmon farms and consequently to support decision-making to achieve effective control and mitigation.
ORCID iDs
Jeong, Jaewoon, McEwan, Gregor F., Arriagada, Gabriel, Gallardo‐Escárate, Cristian and Revie, Crawford W. ORCID: https://orcid.org/0000-0002-5018-0340;-
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Item type: Article ID code: 77979 Dates: DateEvent31 January 2022Published22 September 2021Published Online13 September 2021AcceptedSubjects: Agriculture > Aquaculture. Fisheries. Angling
Science > MathematicsDepartment: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 01 Oct 2021 13:58 Last modified: 11 Nov 2024 13:15 URI: https://strathprints.strath.ac.uk/id/eprint/77979