Use of NIR spectroscopy in an apple breeding program for quality and nutritional parameters
2013
Pissard, A. | Bastiaanse, H. | Baeten, V. | Sinnaeve, G. | Romnee, J.M. | Dupont, P. | Mouteau, A. | Lateur, M.
Antioxidants are of great interest because they are known to have many health benefits. Our current apple breeding program aims to create and select new apple cultivars presenting a differentiated quality (high antioxidant content combined with scab tolerance and high fruit quality). This work investigated the use of NIR spectroscopy as a rapid and non-destructive tool which could be applied in breeding programs to determine, in addition to the traditional quality characteristics, the vitamin C and polyphenol content. After NIR measurements and reference analyses of quality parameters, the PLS regression was used to create calibration models. The best results were obtained for the determination of sugar, acidity and total polyphenol content. The calibration models presented good precision of prediction and the Ratio of Prediction to Deviation (RPD values) obtained showed that almost three groups of values (low, medium and high) could be created when apples are analyzed for breeding purposes. The performance of the calibration models were less for the determination of maturity, firmness and vitamin C content. These results suggest that NIR is a potential powerful tool for breeding programs. It allows the prediction with good precision of quality parameters of apples and allows sorting of fruits according to their contents. This is of great importance for breeders, who are more interested in classifying cultivars to a range of concentrations rather than determining precisely the concentration. Further work will be necessary to improve the precision of prediction of the vitamin C content.
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