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Changes in kernel chemical composition during nut development of three Italian hazelnut cultivars
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References
2015
Year
\n Introduction. This research focused on the variation of the kernel and\n pellicle (seed coat) constituents during nut growth, from early development to maturity.\n Material and methods. Nuts of three hazelnut cultivars widely grown in\n Italy: ‘Tonda Gentile Romana’, ‘Tonda di Giffoni’ and ‘Nocchione’. were randomly sampled\n weekly, from the same trees, starting from the first week of July 2007 (day of the year:\n DOY = 186) until the\n beginning of September (DOY =\n 249), at harvest time. Results and discussion. Oil content increased\n continuously during the development of the kernel, from 30–35 g 100 g-1 dry weight (DW) at the\n beginning of July, to 61–68 g 100 g-1 DW in the first week of September. Total\n monounsaturated fatty acids were the main group of fatty acids in the oil and oleic acid\n was the most predominant one, showing slight variations depending on the cultivar and\n kernel growth stage. Nitrogen content in the kernel decreased continuously during\n development, from 4.2 g 100 g-1 DW to 2.9 g 100 g-1 DW on average among the\n cultivars. Soluble sugars, mainly sucrose, showed a wide fluctuation until late July, and\n the content observed in the mature seed was about 5 g 100 g-1 DW in all cultivars. The\n organic acids, mainly represented by malic acid, showed a large decrease during the early\n stages (July), and reached on average a content of about 0.3–0.4 g 100 g-1 DW at the mature stage. Starch\n content for all cultivars was highest at the first sampling date, then decreased rapidly,\n coinciding with the initial kernel expansion stage. Starch levels then increased to a\n second peak in early August, then rapidly decreased again, followed by a gradual decline\n up to the time of nut ripening. The total phenol content was mainly concentrated in the\n pellicle and showed wide variation during the nut development both in the kernel and\n pellicle. Conclusion. The complexity of these dynamics can explain the\n different kernel taste in immature and mature states, and highlights the possibilities of\n optimizing the orchard management and harvesting time. \n
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