Shrimp growth functions and their economic implications

Xijun Tian*, Ping Sun Leung, Eithan Hochman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

Obtaining a reliable growth function is an integral part of deriving the optimal harvesting strategy for any aquaculture operation. This paper examines the common functional forms of fitting growth equations for fish and shrimps. The following functional forms are considered: linear, polynomial, log reciprocal, Von Bertalanffy, Gompertz, logistic and exponential. Results of fitting these various functional forms with experimental data for Penaeus vannamei are compared and evaluated using standard statistical goodness-of-fit tests. The implications of these estimated growth functions in determining the optimal harvest schedule is compared and discussed. Results indicate that Gompertz and Von Bertalanffy functions are statistically the best fit to the experimental data and the harvesting schedule calculated based on these two functions well reflect the actual shrimp farm operation. Therefore, the Gompertz and Von Bertalanffy function may be the best functions describing shrimp biological growth and hence might be useful for economic evaluation.

Original languageEnglish
Pages (from-to)81-96
Number of pages16
JournalAquacultural Engineering
Volume12
Issue number2
DOIs
StatePublished - 1993

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