| Eintrag |
Autor  |
Pauly, D.; Prein, M.; Hopkins, K. D. |
| Titel |
Multiple regression analysis of aquaculture experiments based on the “extended gulland-and-holt plot”: Model derivation, data requirements and recommended procedures |
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Zeitschrift, Artikel |
| Jahr |
1993 |
Publikation |
Iclarm Stud. Rev. |
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| Band |
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Ausgabe |
20 |
Seiten |
13-23 |
| Schlüsselwörter |
fish-culture; freshwater-aquaculture; Oreochromis-; multivariate-analysis |
| Zusammenfassung |
A method for the multivariate analysis of fish growth in aquaculture is presented. It is derived from a linearized version of the von Bertalanffy growth function (VBGF), which, in its original form, is a bivariate regression termed the Gulland-and-Holt plot. Here, a version in form of a multiple regression equation is presented. The “extended Gulland-and-Holt plot” permits to identify and quantify the key variables controlling fish growth and permits the inclusion of these environmental and treatment variables to explain variance in growth of fish. Von Bertalanffy growth parameters K and L sub( arrow left ) are obtained, which contain the combined environmental effects on fish growth and reflect the range of culture conditions. By computing the index of growth performance ( Phi '), the obtained regression models can be used for growth prediction and decisionmaking in fish farm management and production under a wide range of environmental and management conditions. Recommendations for the design of experiments, preparation of data for analysis and actual analysis procedures are given. |
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Signatur |
1257 |
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