Comments on the calculation of the specific growth rate in experiments with untagged individuals

  1. Lorenzo Márquez 1
  2. Gabriel A. Morales 2
  3. Miguel Sáenz de Rodrigáñez 3
  4. Eduardo Almansa 4
  5. Francisco J. Moyano
  6. Manuel Díaz 3
  1. 1 Núcleo de Investigación en Producción Alimentaria, Escuela de Acuicultura, Universidad Católica de Temuco, Avda. Rudecindo Ortega 02950, Casilla 15D, Temuco, Chile
  2. 2 Departamento de Producción Animal, Universidad de Buenos Aires, Av. San Martín 4453, Cap. Fed. C1417DSE, Buenos Aires, Argentina
  3. 3 Grupo de Nutrición y Alimentación Animal, Universidad de Almería, La Cañada de San Urbano s/n. 04120 Almería, España.
  4. 4 Centro Oceanográfico de Canarias, Instituto Español de Oceanografía, Vía Espaldón, Dársena Pesquera PCL 8, 38180 Santa Cruz de Tenerife, España.
Revue:
Scientia Marina

ISSN: 0214-8358

Année de publication: 2015

Volumen: 79

Número: 4

Pages: 505-508

Type: Article

DOI: 10.3989/SCIMAR.04303.30A DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Scientia Marina

Résumé

The specific growth rate, G, is widely used in articles dealing with the growth of aquatic organisms under experimental conditions. When individuals are untagged, the arithmetic mean of G for a group of animals must be calculated from weight geometric means, not from arithmetic means. The type of weight mean used in articles to calculate the arithmetic mean of G is usually not reported, and an extended use of weight arithmetic means is common. The arithmetic mean of G so calculated is biased according to the increment in the squared coefficient of variation of body weights. Another potential bias in the calculation of the arithmetic mean of G is size-dependent mortality; this bias cannot be avoided when individuals are untagged, but maximal and minimal values can be obtained. In summary, in view of these analytical results, it seems prudent to calculate the arithmetic mean of G for a group of untagged animals from geometric means of weights, and to estimate the maximal error due to the possibility of size-dependent mortality whenever possible