חיפוש מתקדם
Postharvest Biology and Technology
Ben-Zvi, R., Zemach Regional Center for Agricultural Research and Services, Jordan Valley, Israel
Ignat, T., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Hoffman, A., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Borochov-Neori, H., Southern Arava R&D, Hevel Eilot, Israel
Immerman, A., Kibbutz Yahel, Hevel Eilot, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
In Israel, ‘Medjhool’ has become the major date fruit variety. In a certain ripeness stage they become super succulent, juicy, tasty (“Super Fresh” ‘Medjhool’) and have a high market value compared to regular ‘Medjhool’ dates. At this particular stage, the dates are very difficult to handle (picking up, removing etc.). Harvesting of ‘Medjhool’ dates after having matured but before ripening (Khalal ‘Medjhool’) followed by suitable postharvest treatment to enforce ripening, might provide farmers a method to produce a high quality product. At this pre-ripe stage, dates' total soluble solid (TSS) content varies considerably. The objectives of this study were to find an appropriate post-harvest treatment to produce “Super Fresh” ‘Medjhool’ dates from the Khalal fruits and to develop a method for online sorting of Khalal ‘Medjhool’ dates according to their TSS content using a mini NIR spectrometer. A cells' conveyor, an automatic sorting apparatus and a NIR (850–1880 nm) scanning device were designed and constructed, simulating a real sorting operation. Spectral models for TSS prediction were developed, based on Partial Least Squares regression. The root mean square prediction error of TSS was in the range of 0.9–1.6% in the different prediction models. This study establishes the basis for sorting dates for consequent postharvest treatment, using NIR spectroscopy, in the production process of “Super Fresh” ‘Medjhool’ dates. © 2016 Elsevier B.V.
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הספר "אוצר וולקני"
אודות
תנאי שימוש
New post-harvest aproach for high quality fresh ‘Medjhool’ date
124
Ben-Zvi, R., Zemach Regional Center for Agricultural Research and Services, Jordan Valley, Israel
Ignat, T., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Alchanatis, V., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Hoffman, A., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
Borochov-Neori, H., Southern Arava R&D, Hevel Eilot, Israel
Immerman, A., Kibbutz Yahel, Hevel Eilot, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, Volcani Center, Agricultural Research Organization, Bet Dagan, Israel
New post-harvest aproach for high quality fresh ‘Medjhool’ date
In Israel, ‘Medjhool’ has become the major date fruit variety. In a certain ripeness stage they become super succulent, juicy, tasty (“Super Fresh” ‘Medjhool’) and have a high market value compared to regular ‘Medjhool’ dates. At this particular stage, the dates are very difficult to handle (picking up, removing etc.). Harvesting of ‘Medjhool’ dates after having matured but before ripening (Khalal ‘Medjhool’) followed by suitable postharvest treatment to enforce ripening, might provide farmers a method to produce a high quality product. At this pre-ripe stage, dates' total soluble solid (TSS) content varies considerably. The objectives of this study were to find an appropriate post-harvest treatment to produce “Super Fresh” ‘Medjhool’ dates from the Khalal fruits and to develop a method for online sorting of Khalal ‘Medjhool’ dates according to their TSS content using a mini NIR spectrometer. A cells' conveyor, an automatic sorting apparatus and a NIR (850–1880 nm) scanning device were designed and constructed, simulating a real sorting operation. Spectral models for TSS prediction were developed, based on Partial Least Squares regression. The root mean square prediction error of TSS was in the range of 0.9–1.6% in the different prediction models. This study establishes the basis for sorting dates for consequent postharvest treatment, using NIR spectroscopy, in the production process of “Super Fresh” ‘Medjhool’ dates. © 2016 Elsevier B.V.
Scientific Publication
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