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Temperature tolerance and the final preferendum—rapid methods for the assessment of optimum growth temperatures
Abstract
The relationship between the temperature requirements of some fish species, using published data for growth optima, final preferences and lethal limits were examined. A good correlation was found and it is suggested that the data established gives a good estimate of the temperature promoting maximum growth. Determinations of final preferenda are easily conducted in the laboratory and could therefore be used to give rapid assessments of optimum growth temperatures of potential culture species. The practical application of such measurements is discussed.
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Citations
Cited by
A review of size dependant survival during pre-recruit stages of fishes in relation to recruitment
Anderson, J. T. (1988) · Journal of Northwest Atlantic Fishery Science · doi:10.2960/j.v8.a6 · Cited by 714
Buentello, J. A., Gatlin, D. M., & Neill, W. H. (2000) · Aquaculture · doi:10.1016/s0044-8486(99)00274-4 · Cited by 313
Cardiac plasticity in fishes: environmental influences and intraspecific differences
Gamperl, A. K., & Farrell, A. P. (2004) · Journal of Experimental Biology · doi:10.1242/jeb.01057 · Cited by 285
Sundby, S., & Nakken, O. (2008) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsn085 · Cited by 236
Koskela, J., Pirhonen, J., & Jobling, M. (1997) · Aquaculture International · doi:10.1023/a:1018316224253 · Cited by 95
Self-citation
Metadata
- Authors
- Jobling, M.
- Venue
- Journal of Fish Biology
- Publisher
- Wiley
- Published
- 1981-10
- Volume
- 19
- Issue
- 4
- Pages
- 439-455
- ISSN
- 0022-1112 (ISSN-L)
- 1095-8649
- OpenAlex
- W2084620006
- Cited by
- 524
- References
- 0
- FWCI
- 1.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jobling, M. (1981). Temperature tolerance and the final preferendum—rapid methods for the assessment of optimum growth temperatures. Journal of Fish Biology. https://doi.org/10.1111/j.1095-8649.1981.tb05847.x
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
