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The use of Artemia biomass sampling to predict cyst yields in culture ponds
Baert, P.; Anh, N.T.N.; Burch, A.; Sorgeloos, P. (2002). The use of Artemia biomass sampling to predict cyst yields in culture ponds. Hydrobiologia 477(1-3): 149-153. dx.doi.org/10.1023/A:1021025402584
In: Hydrobiologia. Springer: Berlin. ISSN 0018-8158
Peer reviewed article

Ook gepubliceerd als
  • Baert, P.; Anh, N.T.N.; Burch, A.; Sorgeloos, P. (2002). The use of Artemia biomass sampling to predict cyst yields in culture ponds, in: (2002). VLIZ Coll. Rep. 32(2002). VLIZ Collected Reprints: Marine and Coastal Research in Flanders, 32: pp. chapter 2 [Subsequent publication], meer

Beschikbaar in Auteurs 
    Vlaams Instituut voor de Zee: Open Repository 98821 [ download pdf ]

Trefwoorden
    Bemonstering; Monstername; Biomassa; Cysts; Opbrengst; Aanbod; Artemia franciscana Kellog, 1906 [WoRMS]; Artemia Leach, 1819 [WoRMS]; Marien; Brak water
Author keywords
    Artemia sp.; biomass; sampling; volume; cyst yield

Auteurs  Top 
  • Baert, P.
  • Anh, N.T.N.
  • Burch, A.
  • Sorgeloos, P.

Abstract
    The possibility of using biomass volume (= mean biomass present in the pond.week-1) to predict the total amount of harvestable cysts (= kg wet weight collected. week-1) produced in a culture pond by an Artemia franciscana population using a mixed model regression was evaluated for two different sampling methods; horizontal transects and vertical point samples. For transects, the following equation was found: `log (0.01 + cyst yields) = -2.05 + 0.025*(biomass volume)' with F(1,4.87) = 8.83 and p = 0.032. For the point samples, the regression was also significant with F(1,55.2) = 13.62 and p = 0.0005 for following equation: `log (0.01 + cyst yield) = -3.613 + 0.021*(biomass volume). As pond effect and interaction terms did not significantly explain a significant portion of the variance for either of the sampling methods (Transects: pond: F(3,14.3) = 2.48; p = 0.103; pond*biomass volume: F(3,3.61) = 4.63; p = 0.0976; Point samples: pond: F(3,44.5) = 0.00; p = 0.999; pond*biomass volume: F(3,44.2) = 0.11; p = 0.954), the variable pond (repeated measurement factor) was not included in the final calculations for the regression equations. Although a combination of factors influences the equation, the high significance levels of the regression indicate biomass volume can be safely used to predict production trends. The low investment requirements of this method make it especially attractive for on farm use, where correctly determining the point of cyst decline will help farmers to allocate resources where needed.

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