Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 494561
Title Estimation of length and weight growth parameters in populations with a discrete reproduction characteristic
Author(s) Brinkman, A.G.
Source Wageningen : IBN-DLO (IBN research report 93/5)
Department(s) Institute for Forestry and Nature Research
Publication type Research report
Publication year 1993
Keyword(s) Mytilidae - mossels - karakteristieken - lengte - gewicht - kleur - groei - modellen - onderzoek - Mytilus edulis - Mytilidae - mussels - characteristics - length - weight - colour - growth - models - research - Mytilus edulis
Categories Mollusca
Abstract To derive the characteristic parameters from the data, the software program MUSSEL was developed. Length-frequency data are divided into maximal three size classes by the program, and average lengths of each size class, and numbers of animals that belong to each class are computed. Length-weight relationships are computed using an allometric equation. Finally, the rate of change of average lengths and the course of the animal's weight is results from subsequent samples. The existence of a discrete reproduction characteristic is essential, otherwise random sampling from a population never would yield information on growth. Mussels reproduce once a year in spring, and the method of analysis is very well applicable. In this report, the underlying computation method is explained and documented. Emphasized is the proper use of a non-linear parameter estimation technique and the computation of the confidence of the derived parameter values.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.