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Assessment of internal quality attributes of mandarin fruit. 2. NIR calibration model robustness

journal contribution
posted on 06.12.2017, 00:00 by John Guthrie, D Reid, Kerry Walsh
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.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Volume

56

Issue

4

Start Page

417

End Page

426

Number of Pages

10

eISSN

0004-9409

Location

Collingwood

Publisher

CSIRO Publishing

Language

en-aus

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Department of Primary Industries; Faculty of Arts, Health and Sciences; TBA Research Institute;

Era Eligible

Yes

Journal

Australian journal of agricultural research.

Exports

CQUniversity

Keywords

Exports