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Growth acceleration is the key for identifying the most favorable food concentration of Artemia sp

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  • Kundu, Sayani
  • Dasgupta, Nirjhar
  • Chakraborty, Bratati
  • Paul, Ayan
  • Ray, Santanu
  • Bhattacharya, Sabyasachi

Abstract

Increasing demand for Artemia sp. as a nutritive food for shrimp and fish drives hatcheries to culture the species in fulfilling market requirements. The goal is to optimize food concentration for Artemia sp. by performing laboratory experiments. Six different amounts viz. 1 mg, 5 mg, 10 mg, 15 mg, 25 mg, and 45 mg of Chaetoceros sp. are used as food to the experiment. The variation in food concentrations has a significant impact on the species’ internal growth mechanism, which produces disparity in the species growth trait phenotype. These phenotypic growth deviations can be well understood through the species growth trajectories, which are governed by the physical laws of Newtonian mechanics. The optimization of food concentration involves several iterations of conventional experiments, which are not time and cost-effective. Biologists have a strong desire to resolve the issue through alternative theoretical approaches. The basic concept of geometry and Newtonian mechanics are applied to the size profile of Artemia sp. to determine the level of food concentration at which it gains the maximum maturity size. We also provide simulation-based theoretical modeling, which would help to optimize the food concentration of the Artemia sp. We conclude that growth acceleration and jerk of Newtonian mechanics is the key regulator for this optimization game.

Suggested Citation

  • Kundu, Sayani & Dasgupta, Nirjhar & Chakraborty, Bratati & Paul, Ayan & Ray, Santanu & Bhattacharya, Sabyasachi, 2021. "Growth acceleration is the key for identifying the most favorable food concentration of Artemia sp," Ecological Modelling, Elsevier, vol. 455(C).
    • Handle: RePEc:eee:ecomod:v:455:y:2021:i:c:s030438002100199x
    DOI: 10.1016/j.ecolmodel.2021.109639
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    References listed on IDEAS

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    1. Soumalya Mukhopadhyay & Arnab Hazra & Amiya Ranjan Bhowmick & Sabyasachi Bhattacharya, 2016. "On comparison of relative growth rates under different environmental conditions with application to biological data," METRON, Springer;Sapienza Università di Roma, vol. 74(3), pages 311-337, December.
    2. Bhowmick, Amiya Ranjan & Saha, Bapi & Chattopadhyay, Joydev & Ray, Santanu & Bhattacharya, Sabyasachi, 2015. "Cooperation in species: Interplay of population regulation and extinction through global population dynamics database," Ecological Modelling, Elsevier, vol. 312(C), pages 150-165.
    3. Paul, Ayan & Reja, Selim & Kundu, Sayani & Bhattacharya, Sabyasachi, 2021. "COVID-19 pandemic models revisited with a new proposal: Plenty of epidemiological models outcast the simple population dynamics solution," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
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    Cited by:

    1. Roy, Trina & Ghosh, Sinchan & Bhattacharya, Sabyasachi, 2022. "A new growth curve model portraying the stress response regulation of fish: Illustration through particle motion and real data," Ecological Modelling, Elsevier, vol. 470(C).

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