Non-invasive assessment of internal quality attributes of whole avocado fruit by NIRS
Wedding, B.B., White, R.D., Grauf, S., Tilse, B., Hofman, P., and Gadek, P.A. (2009) Non-invasive assessment of internal quality attributes of whole avocado fruit by NIRS. SABRAO Journal of Breeding and Genetics. 14th APBC Conference and 11th Congress of SABRAO , 10-14 August 2009, Cairns, NQ, Australia .
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The utility of Fourier Transform (FT) - near infra-red spectroscopy (NIRS) was investigated as a non-invasive technique for estimating percentage dry matter (%DM) of whole intact ‘Hass’ avocado fruit. Partial least square (PLS) regression models were developed from the diffuse reflectance spectra to predict %DM, taking into account effects of intra-seasonal variation and orchard conditions. The study found that combining three harvests (early, mid and late seasons) yielded a predictive model for %DM with Rv 2=0.86, root mean square error of prediction (RMSEP)=1.18% for the DM in the range 18.2 – 35.0%. These results indicate the potential of FT-NIRS, in diffuse reflectance mode to non-invasively predict the %DM (and thus internal fruit quality) of whole ‘Hass’ avocado fruit.
|Item Type:||Conference Item (Refereed Research Paper - E1)|
This volume is "Volume 41 Special Supplement."
|Keywords:||fruit, avocado, dry matter, maturity, near infrared spectroscopy, eating quality, tropical biology|
|FoR Codes:||07 AGRICULTURAL AND VETERINARY SCIENCES > 0706 Horticultural Production > 070605 Post Harvest Horticultural Technologies (incl Transportation and Storage) @ 100%|
|SEO Codes:||82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8202 Horticultural Crops > 820214 Tropical Fruit @ 50%|
82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8299 Other Plant Production and Plant Primary Products > 829902 Plant Product Traceability and Quality Assurance (excl. Forest Products) @ 50%
|Deposited On:||05 Jan 2010 14:31|
|Last Modified:||13 Feb 2011 04:50|
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