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Grape colour phenotyping: development of a method based on the reflectance spectrum
Laura Rustioni1, Roberto Basilico, Simone Fiori
1Università degli Studi di Milano, CIRIVE - Centro Interdipartimentale di ricerca per l'innovazione in Viticoltura ed Enologia, via Celoria 2, I-20133, Milano, Italy.
Objective fruit color evaluation is crucial for grape classification and breeding. This study developed a fast, non-destructive method using reflectance spectra for reliable grape color phenotyping.
Area of Science:
- Plant science
- Agricultural science
- Genetics
Background:
- Fruit color is a key quality trait for cultivar classification and phenotyping.
- Traditional visual evaluation of fruit color is subjective.
- Objective, non-destructive methods are needed for accurate color assessment.
Purpose of the Study:
- To develop an objective, fast, and non-destructive method for evaluating grape color.
- To support grape breeding programs, germplasm evaluation, and biodiversity preservation.
- To provide a reliable tool for characterizing grape plant traits.
Main Methods:
- Utilized reflectance spectra to analyze the colors of 120 grape varieties.
- Employed cluster and discriminant analysis for color classification.
- Compared berry surface reflectance with skin extract absorption properties.
Main Results:
- Developed a reliable phenotyping method based on reflectance spectra for grape color classification.
- Obtained a cultivar-independent index for evaluating pigment content.
- Demonstrated the effectiveness of spectral analysis for objective color assessment.
Conclusions:
- Successfully classified berry color using an objective, non-destructive method.
- Spectral analysis provides a robust approach for grape color phenotyping.
- This method aids in objective cultivar characterization and breeding efforts.
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