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Growth Profile of Chaetoceros Sp. and its Steady State Behaviour with Change in Initial Inoculum Size:A Modelling Approach


Affiliations
1 Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India
2 Department of Zoology, Krishna Chandra College, Hetampur 731 124, India
3 Systems Ecology & Ecological Modelling Laboratory, Department of Zoology, Visva-Bharati, Santiniketan 731 235, India
 

Monitoring and modelling of the growth profile of microalgae species should be an important tool for the hatchery industries before standardizing the best yielding and cost-effective protocol for their unit. Several factors are responsible in determining the nature of the growth profile. The most important regulator of such growth profile should be the volume of the initial inoculum. In addition, identification and determination of different phases (lag, log, stationary, etc.) of the growth curves of microalgae may be an essential part in the growth profile monitoring. Estimation of growth phases will also help the hatchery scientists in standardizing the commercial culture for industry. Moreover, the transition of different phases can be accurately identified through theoretical models, which are mostly overlooked in simple analysis. Summing up, we have two precise objectives: (1) to study the effects of choice of initial inocula levels on the time to maturity of the Chaetoceros sp., (2) to model the growth profile of the species from which we can theoretically determine its different phases, based on the optical density measurement as a proxy of the biomass. The estimated values of each phase are compared under two initial inocula levels through statistical tests. Using the conceptual approach of the proposed theoretical technique, there is scope for developing a similar model, which can be used in determining cost-effective culture protocol for commercial use.

Keywords

Cost-Effective Production, Growth Profile, Hatchery Industry, Initial Inoculum, Optical Density.
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  • Brown, M. R., Nutritional value and use of microalgae in aquaculture. Avances en Nutricion Acucola VI. Memorias del VI Simposium Internacional de Nutricion Acucola. 2002, 3, 281–292.
  • Simon, C. M., The culture of the diatom Chaetoceros gracilis and its use as a food for penaeid protozoeal larvae. Aquaculture, 1978, 14(2), 105–113.
  • Napolitano, G. E., Ackman, R. G. and Ratnayake, W. M. N., Fatty acid composition of three cultured algal species Isochrysis galbana, Chaetoceros gracilis and Chaetoceros calcitrans used as food for bivalve larvae. J. World Aquacult. Soc., 1990, 21, 122– 130.
  • Creswell, L., Phytoplankton culture for aquaculture feed. Southern Regional Aquaculture Center, SRAC Publication No. 5004, September 2010.
  • Fabregas, J. and Herrero, C., Marine microalgae as a potential source of minerals in fish diets. Aquaculture, 1986, 51(3–4), 237–243.
  • Perumal, P., Prasath, B. B., Santhanam, P., Ananth, S., Devi, A. S. and Kumar, S. D., Isolation and culture of microalgae. Workshop on Advances in Aquaculture Technology, 2012.
  • Coutteau, P. and Sorgeloos, P., The use of algal substitutes and the requirement for live algae in the hatchery and nursery rearing of bivalve molluscs: an international survey. J. Shellfish Res., 1992, 11(2), 467–476.
  • Villares, R. and Carballeira, A., Seasonal variation in the concentrations of nutrients in two green macroalgae and nutrient levels in sediments in the Ras Baixas (nw Spain). Estuar. Coast. Shelf Sci., 2003, 58(4), 887–900.
  • Biswas, H. et al., Response of a natural Phytoplankton community from the Qingdao coast (Yellow Sea, China) to variable CO2 levels over a short-term incubation experiment. Curr. Sci., 2003, 108(10), 1901–1909.
  • Collos, Y., Time-lag algal growth dynamics: biological constraints on primary production in aquatic environments. Mar. Ecol. Prog. Ser., 1986, 33, 193–206.
  • OBrien, W. J., The dynamics of nutrient limitation of phytoplankton algae: a model reconsidered. Ecology, 1974, 55(1), 135– 141.
  • Phatarpekar, P., Sreepada, R., Pednekar, C. and Achuthankutty, C., A comparative study on growth performance and biochemical composition of mixed culture of Isochrysis galbana and Chaetoceros calcitrans with monocultures. Aquaculture, 2000, 181(1), 141–155.
  • Sibly, R. M., Barker, D., Denham, M. C., Hone, J. and Pagel, M., On the regulation of populations of mammals, birds, fish, and insects. Science, 2005, 309(5734), 607–610.
  • Gupta, A., Bhattacharya, S. and Chattyopadhyay, A. K., Exploring new models for population prediction in detecting demographic phase change for sparse census data. Commun. Stat. Theory Meth., 2012, 41(7), 1171–1193.
  • Mukhopadhyay, S., Hazra, A., Bhowmick, A. R. and Bhattacharya, S., On comparison of relative growth rates under different environmental conditions with application to biological data. Metron, 2016, 74(3), 311–337.
  • Guillard, R. R. and Ryther, J. H., Studies of marine planktonic diatoms: I. cyclotella nana hustedt, and Detonula confervacea (cleve) gran. Can. J. Microbiol., 1962, 8(2), 229–239.
  • Santos-Ballardo, D. U., Rossi, S., Hernandez, V., Gomez, R. V., del Carmen Rendon-Unceta, M., Caro Corrales, J. and ValdezOrtiz, A., A simple spectrophotometric method for biomass measurement of important microalgae species in aquaculture. Aquaculture, 2015, 448, 87–92.
  • Falkowski, P. and Kiefer, D. A., Chlorophyll a fluorescence in phytoplankton: relationship to photosynthesis and biomass. J. Plankton Res., 1985, 7(5), 715–731.
  • Goswami, R., Mondal, S., Mandal, S., Padhy, P., Ray, S. and Majumder, S., Effect of temperature and arsenic on Aeromonas hydrophila growth, a modelling approach. Biologia, 2014, 69(7), 825–833.
  • Rodrigues, L. H. R., Raya-Rodriguez, M. T. and Fontoura, N. F., Algal density assessed by spectrophotometry: a calibration curve for the unicellular algae Pseudokirchneriella subcapitata. J. Environ. Chem. Ecotoxicol., 2011, 3(8), 225–228.
  • Rocha, J. M., Garcia, J. E. and Henriques, M. H., Growth aspects of the marine microalga Nannochloropsis gaditana. Biomol. Eng., 2003, 20(4), 237–242.
  • Chiu, S. Y., Kao, C. Y., Chen, C. H., Kuan, T. C., Ong, S. C. and Lin, C. S., Reduction of CO2 by a high-density culture of Chlorella sp. in a semicontinuous photobioreactor. Bioresour. Technol., 2008, 99(9), 3389–3396.
  • Bhattacharya, S., Basu, A. and Bandyopadhyay, S., Goodness-offit testing for exponential polynomial growth curves. Commun. Stat. Theory Meth., 2008, 38(3), 340–363.
  • Gompertz, B., On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies. Philos. Trans. R. Soc. Lond., 1825, 115, 513–583.
  • Gilpin, M. E. and Ayala, F. J., Global models of growth and competition. Proc. Natl. Acad. Sci., 1973, 70(12), 3590–3593.
  • Gilpin, M. E. and Case, T. J., Multiple domains of attraction in competition communities. Nature, 1976, 261(5555), 40–42.
  • Saha, B., Bhowmick, A. R., Chattopadhyay, J. and Bhattacharya, S., On the evidence of an allee effect in herring populations and consequences for population survival: a model-based study. Ecol. Modell., 2013, 250, 72–80.
  • Akaike, H., A new look at the statistical model identification. IEEE Trans. Automat. Contr., 1974, 19(6), 716–723.
  • Burnham, K. P. and Anderson, D. R., Multimodel Inference: understanding AIC and BIC in model selection. Sociol. Meth. Res., 2004, 33(2), 261–304.
  • Willmott, C. J., Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc., 1982, 63(11), 1309–1313.
  • Tabari, H., Evaluation of reference crop evapotranspiration equations in various climates. Water Resour. Manage., 2010, 24(10), 2311–2337.
  • Gundogdu, K. S. and Guney, I., Spatial analyses of groundwater levels using universal kriging. J. Earth Syst. Sci., 2007, 116(1), 49–55.
  • Zwietering, M., Jongenburger, I., Rombouts, F. and Vant Riet, K., Modeling of the bacterial growth curve. Appl. Environ. Microbiol., 1990, 56(6), 1875–1881.
  • Seber, G. and Wild, C., Nonlinear regression. 2003, 325–365.
  • Guedes, A. C. and Malcata, F. X., Nutritional value and uses of microalgae in aquaculture. InTech, 2012.
  • Havlik, I., Lindner, P., Scheper, T. and Reardon, K., On-line monitoring of large cultivations of microalgae and cyanobacteria. Trends Biotechnol., 2013, 31(7), 406–414.
  • Lu, S., Wang, J., Niu, Y., Yang, J., Zhou, J. and Yuan, Y., Metabolic profiling reveals growth related fame productivity and quality of Chlorella sorokiniana with different inoculum sizes. Biotechnol. Bioeng., 2012, 109(7), 1651–1662.

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  • Growth Profile of Chaetoceros Sp. and its Steady State Behaviour with Change in Initial Inoculum Size:A Modelling Approach

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Authors

Sayani Kundu
Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India
Joyita Mukherjee
Department of Zoology, Krishna Chandra College, Hetampur 731 124, India
Farhana Yeasmin
Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India
Samarpita Basu
Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India
Joydev Chattopadhyay
Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India
Santanu Ray
Systems Ecology & Ecological Modelling Laboratory, Department of Zoology, Visva-Bharati, Santiniketan 731 235, India
Sabyasachi Bhattacharya
Agricultural and Ecological Research Unit, Indian Statistical Institute, Kolkata 700 108, India

Abstract


Monitoring and modelling of the growth profile of microalgae species should be an important tool for the hatchery industries before standardizing the best yielding and cost-effective protocol for their unit. Several factors are responsible in determining the nature of the growth profile. The most important regulator of such growth profile should be the volume of the initial inoculum. In addition, identification and determination of different phases (lag, log, stationary, etc.) of the growth curves of microalgae may be an essential part in the growth profile monitoring. Estimation of growth phases will also help the hatchery scientists in standardizing the commercial culture for industry. Moreover, the transition of different phases can be accurately identified through theoretical models, which are mostly overlooked in simple analysis. Summing up, we have two precise objectives: (1) to study the effects of choice of initial inocula levels on the time to maturity of the Chaetoceros sp., (2) to model the growth profile of the species from which we can theoretically determine its different phases, based on the optical density measurement as a proxy of the biomass. The estimated values of each phase are compared under two initial inocula levels through statistical tests. Using the conceptual approach of the proposed theoretical technique, there is scope for developing a similar model, which can be used in determining cost-effective culture protocol for commercial use.

Keywords


Cost-Effective Production, Growth Profile, Hatchery Industry, Initial Inoculum, Optical Density.

References





DOI: https://doi.org/10.18520/cs%2Fv115%2Fi12%2F2275-2286