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;