Articles

NIR CASE DEVICE USE IN A PACKING HOUSE AND THE PREDICTION OF POSTHARVEST QUALITY OF ‘ROCHA’ PEAR AND ‘GALA’ APPLE

Article number
934_21
Pages
177 – 181
Language
English
Abstract
In a packinghouse situation, the information on the performance of commercial near infrared (NIR) spectroscopy is limited.
Among other criteria, fruit size and soluble solids content (SSC) differentiate producer’s payment.
Non-destructive technology has been implemented to assess fruit internal quality, though, for some fruit quality attributes, the validity of this technology may be questionable.
The prediction of three quality parameters (fruit firmness, SSC and dry matter) in ‘Rocha’ pear and ‘Gala’ apple by the NIR CASE (NIRS) was investigated.
In 2008 and 2009, 450 and 320 fruits of ‘Gala’ and 450 and 320 of ‘Rocha’ pear were tested, using destructive methods to validate NIR CASE predicted values and to calibrate the model.
These fruits were from different growers, orchards, picking date, stages of maturation and storage conditions.
Poor correlations were obtained between NIR CASE measurements and analytical data for pear and apple firmness in both years (R2=0.01 to 0.53, bias=-4.82 to 8.98 and ME=-2.55 to 0.11 for ‘Rocha’ pear and R2=0.1 to 0.69, bias=-4.40 to 6.55 and ME=-3.25 to 0.60 for ‘Gala’ apple). Better correlations of prediction were obtained between SSC predicted and analytical values for pear (R2=0.69 to 0.90 and ME>0.70) and apple (R2=0.63 to 0.81 and ME>0.45) in both years.
Excellent predictions of DM (%) were obtained (R2>0.7 and ME>0.86) in ‘Rocha’ pear in both years and in ‘Gala’ apple in 2009 (R2>0.7 and ME>0.64). ‘Rocha’ pear and ‘Gala’ apple data from 2008 and 2009 seasons confirm accurate prediction of NIR CASE models for SSC and DM. However, predicted values for firmness demonstrate that the models based on NIRS spectrometry were not accurate.

Publication
Authors
M.L. Carvalho, D.P.F. Almeida , J. Cardoso , P. Santos , D. Fialho, C.M. Oliveira
Keywords
firmness, fruit quality, Malus ×domestica, NIR technologies, prediction model, Pyrus communis, SSC
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