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Non-destructive quality phenotyping of mandarins

Non destructive phenotyping of mandarin fruits qualitaty using Near Infrared Spectroscopy.

Plant Ecophysio/architecture/phenotyping Climat Fruit quality Method/tool/technic Phenotoping Spectroscopy Citrus Mediterrannea
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Abstract

This study had as main objective the nondestructive phenotyping of mandarins quality by near infrared spectroscopy.
The specific objectives of the project were: 1) Define the protocol for measuring spectral reflectance of whole mandarins using a spectrometer ultra-portable Phazir 1018 (Polychromix, Thermo Fisher Scientific, 2 Radcliff Road, Tewksbury, MA 01876, USA ) 2) Develop calibration equations for Brix and acidity contents.
In a first step, a precise measurement protocol was established to ensure taking a spectrum representative of the whole fruit and repeatable.
During the two years of the project, 1158 fruits at various stages of maturity from Morocco (487 fruits) and Corsica (671 fruits) were analyzed for their infrared spectra and their Brix and acidity contents. Some of the fruits analyzed were also subjected to water stress, allowing extending the range of Brix and acidity concentrations on the basis of a natural phenomenon and thus increasing the spectral variability and thus the robustness of the database.
On the basis of these analyzes, predictive models have been developed and validated. These models whose performance for the determination of Brix (R ² = 0.93 and prediction error = 0.8) allow precise sorting of mandarins during maturation. The models developed for fruit acidity (R ² = 0.78 and prediction error of 0.11) were less efficient, but were applicable to rapid screening of fruits based on low or high levels of acidity which is a good maturity marker depending on the variety

Perspectives

The calibration equations obtained can be used in breeding programs to monitor fruits maturation in the fields. Quality control of the fruits during development may be realized in the field in a non-destructive way, this quality control will then be confirmed throughout the chain of packaging and marketing. The use of spectral fingerprint must be applied to other fruit quality criteria such as the hardness, the thickness of the skin, the color, the peel strength ...
The transfer of calibration equations on different types of spectrometers have to be examined and validated.

Project Number : 0901-006

Year : 209

Type of funding : AAP

Project type : AAP

Start date :
01 Sep 2009

End date :
31 Dec 2012

Flagship project :
Non

Project leader :
Fabrice Davrieux

Project leader's institution :
CIRAD

Project leader's RU :
QUALISUD

Budget allocated :
31200 €

Total budget allocated ( including co-financing) :
31200 €

Funding :
RTRA