4.5 Article

Quantifying key parameters related to the life cycle of Caligus rogercresseyi

期刊

JOURNAL OF FISH DISEASES
卷 45, 期 1, 页码 219-224

出版社

WILEY
DOI: 10.1111/jfd.13535

关键词

Caligus rogercresseyi; life cycle; population dynamics; salmon farms; sea lice

资金

  1. Programa para la Gestion Sanitaria de la Acuicultura
  2. Universidad de Concepcion
  3. ANID-Chile

向作者/读者索取更多资源

The salmon louse C. rogercresseyi is a common ectoparasite of farmed salmonids in Chile, and further research is required to adequately model its complete population dynamics and support effective control and mitigation on Chilean salmon farms.
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 (Kroyer, 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.

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