Assessment of internal quality attributes of mandarin fruit. 2. NIR calibration model robustness
J. A. Guthrie A B C , D. J. Reid A and K. B. Walsh BA Delivery, Queensland Department of Primary Industries and Fisheries, PO Box 6014, CQ Mail Centre, Rockhampton, Qld 4702, Australia.
B Plant Sciences Group, Central Queensland University, Rockhampton, Qld 4702, Australia.
C Corresponding author. Email: john.guthrie@dpi.qld.gov.au
Australian Journal of Agricultural Research 56(4) 417-426 https://doi.org/10.1071/AR04299
Submitted: 2 December 2004 Accepted: 23 February 2005 Published: 26 April 2005
Abstract
The robustness of multivariate calibration models, based on near infrared spectroscopy, for the assessment of total soluble solids (TSS) and dry matter (DM) of intact mandarin fruit (Citrus reticulata cv. Imperial) was assessed. TSS calibration model performance was validated in terms of prediction of populations of fruit not in the original population (different harvest days from a single tree, different harvest localities, different harvest seasons). Of these, calibration performance was most affected by validation across seasons (signal to noise statistic on root mean squared error of prediction of 3.8, compared with 20 and 13 for locality and harvest day, respectively). Procedures for sample selection from the validation population for addition to the calibration population (‘model updating’) were considered for both TSS and DM models. Random selection from the validation group worked as well as more sophisticated selection procedures, with approximately 20 samples required. Models that were developed using samples at a range of temperatures were robust in validation for TSS and DM.
Additional keyword: non-invasive.
Acknowledgments
Funding support was received from Horticulture Australia (Citrus Marketing and Development Group) and Central Queensland University – Research Training Scheme. Fruit was supplied by Steve Benham of Joey Citrus, Munduberra, and by Jim and Deslea Yeldham, Citrus Farm, Dululu, Qld. This manuscript represents an extension of work reported at the 10th International Conference of Near Infrared Spectroscopy, Konju, Korea, June 2001.
Fearn T
(1996) Comparing standard deviations. NIR News 7, 5–6.
Golic M,
Walsh KB, Lawson P
(2003) Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature. Applied Spectroscopy 57, 139–145.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Greensill CV, Walsh KB
(2000) A remote acceptance probe and illumination configuration for spectral assessment of internal attributes of intact fruit. Measurement Science & Technology 11, 1674–1684.
| Crossref | GoogleScholarGoogle Scholar |
Greensill CV, Walsh KB
(2002) Calibration transfer between miniature photodiode array-based spectrometers in the near infrared assessment of mandarin soluble solids content. Journal of Near Infrared Spectroscopy 10, 27–35.
Guthrie JA, Walsh KB
(2001) Assessing and enhancing near infrared calibration robustness for soluble solids content in mandarin fruit. ‘10th International Conference on Near Infrared Spectroscopy’. Kyonjgu, Korea. (Ed. AMC Davies ,
RK Cho )
pp. 151–154. (NIR Publications: Chichester, UK)
Guthrie JA,
Walsh KB,
Reid DJ, Liebenberg CJ
(2005) Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development. Australian Journal of Agricultural Research 56, 405–416.
Kawano S,
Abe H, Iwamoto M
(1995) Development of a calibration equation with temperature compensation for determining the brix value in intact peaches. Journal of Near Infrared Spectroscopy 3, 211–218.
Mahalanobis PC
(1936) On the generalized distance in statistics. Proceedings of the National Institute of Science of India 2, 541–588.
McGlone VA,
Fraser DG,
Jordan RB, Kunnemeyer R
(2003) Internal quality assessment of mandarin fruit by vis/NIR spectroscopy. Journal of Near Infrared Spectroscopy 11, 323–332.
Miyamoto K, Kitano Y
(1995) Non-destructive determination of sugar content in satsuma mandarin fruit by near infrared transmittance spectroscopy. Journal of Near Infrared Spectroscopy 3, 227–237.
Ou AS,
Lin S,
Lin T,
Wu S, Tiarn M
(1997) Studies on the determination of quality-related constituents in Ponkan Mandarin by near infrared spectroscopy. Journal of the Chinese Agricultural Chemical Society 35, 462–474.
Peiris KHS,
Dull GG,
Leffler RG, Kays SJ
(1998) Near-infrared spectroscopic method for non-destructive determination of soluble solids content of peaches. Journal of the American Society for Horticultural Science 123, 898–905.
Roger J-M,
Chauchard F, Bellon-Maurel V
(2003) EPO and PLS external parameter orthogonalisation of PLS—application to temperature independent measurement of sugar content of intact fruits. Chemometric and Intelligent Laboratory Systems 66, 191–204.
Sanchez HN,
Lurol S,
Roger JM, Bellon-Maurel V
(2003) Robustness of models based on NIR spectra for sugar content prediction in apples. Journal of Near Infrared Spectroscopy 11, 97–107.
Shenk JS, Westerhaus MO
(1991) Population definition, sample selection, and calibration procedures for near infrared reflectance spectroscopy. Crop Science 31, 469–474.
Wang Y,
Veltkamp DJ, Kowalski BR
(1991) Multivariate instrument standardization. Analytical Chemistry 63, 2750–2756.
| Crossref | GoogleScholarGoogle Scholar |
Westerhaus MO
(1991) Improving repeatability of calibrations across instruments. ‘Proceedings of 3rd International Conference on Near Infrared Spectroscopy’. Gembloux, Belgium. (Ed. R Biston ,
N Bartiaux-Thill )
pp. 671–674. (NIR Publications: Chichester, UK)
Williams PC, Sobering DC
(1993) Comparison of commercial near infrared transmittance and reflectance instruments for analysis of whole grains and seeds. Journal of Near Infrared Spectroscopy 1, 25–32.
Wortel VAL,
Hansen WG, Wiedemann SCC
(2001) Optimising multivariate calibration by robustness criteria. Journal of Near Infrared Spectroscopy 9, 141–151.