Factorial experimental designs as tools to optimize rearing conditions of fish larvae

Nicolaisen, Ove; Cuny, Maximilien A. C.; Bolla, Sylvie

doi:10.1016/j.aquaculture.2013.12.018

Cited by 9 publications

(12 citation statements)

References 41 publications

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“…Most of the earlier reports testing the effect of abiotic factors on the hatching process of Artemia were unifactorial experiments1. However, it is evident from the present study that the factors (such as temperature, photoperiod or salinity) would interact with one another and in turn affect the hatching percentage differently.…”

Section: Discussioncontrasting

confidence: 50%

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Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology

Arun

Saharan

Ramasubramanian

et al. 2017

Sci Rep

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A novel method, BBD-SSPD is proposed by the combination of Box-Behnken Design (BBD) and Split-Split Plot Design (SSPD) which would ensure minimum number of experimental runs, leading to economical utilization in multi- factorial experiments. The brine shrimp Artemia was tested to study the combined effects of photoperiod, temperature and salinity, each with three levels, on the hatching percentage and hatching time of their cysts. The BBD was employed to select 13 treatment combinations out of the 27 possible combinations that were grouped in an SSPD arrangement. Multiple responses were optimized simultaneously using Derringer’s desirability function. Photoperiod and temperature as well as temperature-salinity interaction were found to significantly affect the hatching percentage of Artemia, while the hatching time was significantly influenced by photoperiod and temperature, and their interaction. The optimum conditions were 23 h photoperiod, 29 °C temperature and 28 ppt salinity resulting in 96.8% hatching in 18.94 h. In order to verify the results obtained from BBD-SSPD experiment, the experiment was repeated preserving the same set up. Results of verification experiment were found to be similar to experiment originally conducted. It is expected that this method would be suitable to optimize the hatching process of animal eggs.

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Section: Discussioncontrasting

confidence: 50%

“…the effect of a single factor (e.g. photoperiod, temperature or salinity) is studied at a time keeping other factors constant1. However, aquatic organisms live in a complex environment where multiple factors interact with one another, affecting their survival and growth.…”

mentioning

confidence: 99%

Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology

Arun

Saharan

Ramasubramanian

et al. 2017

Sci Rep

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“…Third, long‐term designs are not well suited to uncover stage‐specific needs in the rapidly developing larvae (Nicolaisen et al . ), but primarily estimate global effects of the applied treatment throughout the experimental period.…”

Section: Discussionmentioning

confidence: 99%

“…Second, in case of repeated sampling the input of eggs or larvae must increase which subsequent increase in scale, workload and costs. Third, long-term designs are not well suited to uncover stage-specific needs in the rapidly developing larvae (Nicolaisen et al 2014), but primarily estimate global effects of the applied treatment throughout the experimental period.…”

Section: Experimental Designsmentioning

confidence: 99%

Issues of aquatic experimentation in research on marine finfish larval production in Europe and North America

Nicolaisen

2017

Reviews in Aquaculture

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The aim of this review was to examine practices in academic research focusing on production of larvae of European marine fish species. The literature spanned peer‐reviewed articles over the years 1977–2014 for the main commercially produced marine species: Atlantic cod, halibut, sea bream, sea bass and turbot. Search hits were categorized into the main themes basic biology, natural habitat studies and aquaculture, and the latter theme further subdivided into nutrition, health, reproduction and production factor studies. In total, 74 of the production factor studies were thoroughly examined in terms of overall research structure, study designs, methods, analyses and reporting practices. A picture of a fragmented whole with many isolated contributors and limited cooperation appeared, and despite the multivariate nature and high complexity of the area, isolated and low replicated studies focusing on one variable at the time dominated. Randomization and blinding procedures were rarely accounted for, and a need to standardize practical conduct of research in terms of physical infrastructure, biological material used, control of tank environment, sampling, tank tending and response measurements appeared. Issues of statistical analysis were also apparent, spanning the choice of main techniques and follow‐up contrast procedures and Pseudoreplication. Additionally, the reporting of designs, analyses and results was often incomplete. Consequences of the different issues are discussed, and possible remedies proposed. The findings are in accordance with conclusions from contemporary studies addressing scientific quality and methodological issues at other areas of research.

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“…As marine larvae undergo extensive ontogenetic changes in visual capacity during the larval period, (Blaxter ; Hunt von Herbing, Boutilier, Miyake & Hall ), both experiments were carried out as series of discrete short‐term trials at different larval ages/sizes to assess effects relative to larval developmental stage (cf. Nicolaisen, Cuny & Bolla, ).…”

Section: Introductionmentioning

confidence: 99%

Behavioural responses to visual environment in early stage Atlantic codGadus morhuaL. larvae

Nicolaisen

Bolla

2014

Aquac Res

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Marine fish larvae exhibit species-specific sensitivity to light, which changes during ontogeny. Our aim was to explore how visual environment, characterized by light intensity, microalgae addition and wall colour, affects spatial distribution of Atlantic cod larvae. We applied two different small-scale factorial designs, each of them as a series of independent short-term trials at fixed larval ages from 5 to 35 days post hatch (DPH). Positive phototaxis increased in larvae from 5 to %24 DPH, followed by reduced response at later ages. Effects from the experimental factors on larval behaviour changed with age, and significant interactions between factors were present. Algae significantly affected larvae only at 5 DPH, increasing phototactic response. White wall colour induced distribution of larvae close to the tank walls at all ages. The experimental approach demonstrated clear effects from visual environment on larval distribution, and revealed both relative importance of individual factors, interactive effects and temporal changes due to larval ontogeny. Our results suggest that by fine-tuning the visual environment in tanks, the larval distribution may be managed to improve overall rearing conditions through a more even distribution with reduced closeness to tank walls.

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Factorial experimental designs as tools to optimize rearing conditions of fish larvae

Cited by 9 publications

References 41 publications

Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology

Multi-response optimization of Artemia hatching process using split-split-plot design based response surface methodology

Issues of aquatic experimentation in research on marine finfish larval production in Europe and North America

Behavioural responses to visual environment in early stage Atlantic codGadus morhuaL. larvae

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