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Article << Previous     |              Online Early    

A novel method for the age estimation of Saddletail snapper (Lutjanus malabaricus) using Fourier Transform-near infrared (FT-NIR) spectroscopy

B. B. Wedding A , A. J. Forrest B D , C. Wright C , S. Grauf A , P. Exley B and S. E. Poole B

A Rapid Assessment Unit, Crop and Food Science, Department of Agriculture, Fisheries and Forestry, Cairns, Qld 4870, Australia.
B Crop and Food Science, Department of Agriculture, Fisheries and Forestry, Coopers Plains, Qld 4108, Australia.
C Rapid Assessment Unit, Horticulture and Forestry Science, Department of Agriculture, Fisheries and Forestry, Mareeba, Qld 4880, Australia.
D Corresponding author. Email: andrew.forrest@qld.gov.au

Marine and Freshwater Research - http://dx.doi.org/10.1071/MF13244
Submitted: 16 September 2013  Accepted: 15 January 2014   Published online: 4 July 2014


 
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Abstract

Near infrared (NIR) spectroscopy was investigated as a potential rapid method of estimating fish age from whole otoliths of Saddletail snapper (Lutjanus malabaricus). Whole otoliths from 209 Saddletail snapper were extracted and the NIR spectral characteristics were acquired over a spectral range of 800–2780 nm. Partial least-squares models (PLS) were developed from the diffuse reflectance spectra and reference-validated age estimates (based on traditional sectioned otolith increments) to predict age for independent otolith samples. Predictive models developed for a specific season and geographical location performed poorly against a different season and geographical location. However, overall PLS regression statistics for predicting a combined population incorporating both geographic location and season variables were: coefficient of determination (R2) = 0.94, root mean square error of prediction (RMSEP) = 1.54 for age estimation, indicating that Saddletail age could be predicted within 1.5 increment counts. This level of accuracy suggests the method warrants further development for Saddletail snapper and may have potential for other fish species. A rapid method of fish age estimation could have the potential to reduce greatly both costs of time and materials in the assessment and management of commercial fisheries.

Additional keywords: Arafura Sea, fish ageing, otolith increments, saddletail snapper.


References

Bailleres, H., Davrieux, F., and Ham-Pichavant, F. (2002). Near infrared analysis as a tool for rapid screening of some major wood characteristics in a eucalyptus breeding program. Annals of Forest Science 59, 479–490.
CrossRef |

Beamish, R. J. (1979). New Information on the Longevity of Pacific Ocean Perch (Sebastes alutus). Journal of the Fisheries Research Board of Canada 36, 1395–1400.
CrossRef |

Bobelyn, E., Serban, A.-S., Nicu, M., Lammertyn, J., Nicolai, B. M., and Saeys, W. (2010). Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance. Postharvest Biology and Technology 55, 133–143.
CrossRef | CAS |

Boehlert, G. W., and Yokavich, M. M. (1984). Variability in age estimates in Sebastes as a function of methodology, different readers, and different laboratories. California Fish and Game 70, 210–224.

Campana, S. E. (1999). Chemistry and composition of fish otoliths: pathways, mechanisms and applications. Marine Ecology Progress Series 188, 263–297.
CrossRef | CAS |

Campana, S. E. (2001). Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. Journal of Fish Biology 59, 197–242.
CrossRef |

Campana, S. E., and Thorrold, S. R. (2001). Otoliths, increments, and elements: keys to a comprehensive understanding of fish populations. Canadian Journal of Fisheries and Aquatic Sciences 58, 30–38.
CrossRef |

Cardinale, M., Arrhenius, F., and Johnsson, B. (2000). Potential use of otolith weight for the determination of age-structure of Baltic cod (Gadus morhua) and plaice (Pleuronectes platessa). Fisheries Research 45, 239–252.
CrossRef |

Chang, M.-Y., and Geffen, A. J. (2013). Taxonomic and geographic influences on fish otolith microchemistry. Fish and Fisheries 14, 458–492.
CrossRef |

Fisheries-Queensland (2009). Fisheries Long Term Monitoring Program Sampling Protocol – Fish Ageing: Section 2: Snapper. Department of Employment, Economic Development and Innovation, Queensland Government, Brisbane. Available from: http://www.daff.qld.gov.au/fisheries/monitoring-our-fisheries/commercial-fisheries/species-specific-programs/sampling-protocols/fish-ageing

Folkestad, A., Wold, J. P., Rørvik, K.-A., Tschudi, J., Haugholt, K. H., Kolstad, K., and Mørkøre, T. (2008). Rapid and non-invasive measurements of fat and pigment concentrations in live and slaughtered Atlantic salmon (Salmo salar L.). Aquaculture 280, 129–135.
CrossRef | CAS |

Forrest, A., Poole, S., Exley, P., Mayze, J., and Paulo, C. (2010). Improving profitability to Industry through the identification and management of ‘tough’ fish syndrome in tropical Saddletail snapper (Lutjanus malabaricus). Innovative Food Technologies, Department of Employment, Economic Development and Innovation, Queensland, Brisbane.

FRDC (2013). Revolutionising fish ageing – milestone report 4. In ‘FRDC Project 2012/011’. (Ed. J Robbins). (Commomwealth Fisheries Research and Development Corporation: Canberra).

Gaffey, S. (1986). Spectral reflectance of carbonate minerals in the visible and near infrared (0.35–2.55 microns: calcite, aragonite, and dolomite. The American Mineralogist 71, 151–162.
| CAS |

Golic, M., and Walsh, K. B. (2006). Robustness of calibration models based on near infrared spectroscopy for the in-line grading of stonefruit for total soluble solids content. Analytica Chimica Acta 555, 286–291.
CrossRef | CAS |

Hunt, R. (1977). Spectral signatures of particulate minerals in the visible and near infrared. Geophysics 42, 501–513.
CrossRef | CAS |

Liu, Y., and Ying, Y. (2005). Use of FT-NIR spectrometry in non-invasive measurements of internal quality of `Fuji’ apples. Postharvest Biology and Technology 37, 65–71.
CrossRef | CAS |

McClure, W. F., Crowell, B., Stanfield, D. L., Mohapatra, S., Morimoto, S., and Batten, G. (2002). Near infrared technology for precision environmental measurements: part 1. Determination of nitrogen in green- and dry-grass tissue. Journal of Near Infrared Spectroscopy 10, 177–185.
CrossRef | CAS |

McGlone, V. A., and Kawano, S. (1998). Firmness, dry-matter and soluble-solids assessment of postharvest kiwifruit by NIR spectroscopy. Postharvest Biology and Technology 13, 131–141.
CrossRef |

Moron, A., and Cozzolino, D. (2003). Exploring the use of near infrared reflectance spectroscopy to study physical properties and microelements in soils. Journal of Near Infrared Spectroscopy 11, 145–154.
CrossRef | CAS |

Murray, I., and Williams, P. (1987). Chemical principles of near-infrared technology. In ‘Near infrared technology in the agricultural and food industries’. (Eds P. Williams and K. H. Norris.) pp. 330. (American Association of Cereal Chemists and The University of Wisconsin, Madison, WI.)

Newman, S. J. (2002). Growth rate, age determination, natural mortality and production potential of the scarlet seaperch, Lutjanus malabaricus Schneider 1801, off the Pilbara coast of north-western Australia. Fisheries Research 58, 215–225.
CrossRef |

Nilsen, H., Esaiassen, M., Heia, K., and Sigernes, F. (2002). Visible/Near-Infrared Spectroscopy: A New Tool for the Evaluation of Fish Freshness. Journal of Food Science 67, 1821–1826.
CrossRef | CAS |

OTO. (2007). Otolith Training Online. Marine Institute Fisheries Science Services. Available from: http://www.marine.ie/oto/overview/index.htm

Parmentier, E., Cloots, R., Warin, R., and Henrist, C. (2007). Otolith crystals (in Carapidae): Growth and habit. Journal of Structural Biology 159, 462–473.
CrossRef | CAS | PubMed |

Payan, P., Edeyer, A., De Pontual, H., Borelli, G., Boeuf, G., and Mayer-Gostan, N. (1999). Chemical composition of saccular endolymph and otolith in fish inner ear: lack of spatial uniformity. American Journal of Physiology. Regulatory, Integrative and Comparative Physiology 277, R123–R131.
| CAS |

Radtke, R. L., and Shafer, D. J. (1992). Environmental sensitivity of fish otolith microchemistry. Australian Journal of Marine and Freshwater Research 43, 935–951.
CrossRef | CAS |

Secor, D. H., Dean, J. M., and Campana, S. E. (1995). Recent developments in otolith research. In ‘The Belle W. Baruch Library in Marine Science’. (Ed. S. E. Campana.). (University of South Carolina Press: Columbia, SC.)

Sohn, D., Kang, S., and Kim, S. (2005). Stock identification of chum salmon (Oncorhynchus keta) using trace elements in otoliths. Journal of Oceanography 61, 305–312.
CrossRef | CAS |

Solberg, C., Saugen, E., Swenson, L.-P., Bruun, L., and Isaksson, T. (2003). Determination of fat in live farmed Atlantic salmon using non-invasive NIR techniques. Journal of the Science of Food and Agriculture 83, 692–696.
CrossRef | CAS |

Tabouret, H., Lord, C., Bareille, G., Pecheyran, C., Monti, D., and Keith, P. (2011). Otolith microchemistry in Sicydium punctatum: indices of environmental condition changes after recruitment. Aquatic Living Resources 24, 369–378.
CrossRef |

Thomas, D., McGoverin, C., Chinsamy, A., and Manley, M. (2011). Near infrared analysis of fossil bone from the Western Cape of South Africa. Journal of Near Infrared Spectroscopy 19, 151–159.
CrossRef | CAS |

Wedding, B. B., White, R. D., Grauf, S., Tilse, B., and Gadek, P. A. (2009). Near infrared spectroscopy as a rapid, non-invasive method for sandalwood oil determination. SABRAO Journal of Breeding and Genetics 41. http://eprints.jcu.edu.au/5545/

Wedding, B. B., White, R. D., Grauf, S., Wright, C., Tilse, B., Hofman, P., and Gadek, P. A. (2011). Non-destructive prediction of ‘Hass’ avocado dry matter via FT-NIR spectroscopy. Journal of the Science of Food and Agriculture 91, 233–238.
CrossRef | CAS | PubMed |

Williams, P. (2004). ‘Near-Infrared Technology: Getting the Best Out of Light.’ (Value Added Wheat CRC, Limited: Nanaimo, Canada)

Wold, J. P., and Isaksson, T. (1997). Non-destructive determination of fat and moisture in whole Atlantic salmon by near-infrared diffuse spectroscopy. Journal of Food Science 62, 734–736.
CrossRef | CAS |

Wold, J. P., Jakobsen, T., and Krane, L. (1996). Atlantic salmon average fat content estimated by near-infrared transmittance spectroscopy. Journal of Food Science 61, 74–77.
CrossRef | CAS |


   
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