کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4517679 1624971 2017 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
On the validation of improved quality-decay models of potted plants
ترجمه فارسی عنوان
در اعتبار سنجی بهبود مدل کیفیت واپاشی گیاهان گلدانی
کلمات کلیدی
اعتبار سنجی؛ مدل؛ پوسیدگی کیفیت؛ گیاهان گلدانی؛ حمل و نقل؛ ذخیره سازی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی


• Quality-decay models of potted plants were improved.
• The improved models were validated both in time (year) and in origin (grower).
• The behaviour of Anthurium ‘Arion’ was well predicted.
• For Phalaenopsis the quality-decay models performed less.
• It was concluded that validation indeed is necessary.

Storage experiments were carried out with potted plants: two Phalaenopsis cultivars and one Anthurium cultivar. The plants were stored in the dark for different storage times at different temperatures, to mimick a transport phase. Different quality aspects were scored immediately after the transport phase and after a subsequent display phase of 7 and 14 days at in-store conditions. Improved quality decay models compared to previous work were designed to quantify the effect of transport on the shelf life of potted plants.Of each cultivar, plants were obtained from two commercial growers in the Netherlands. Only the data from the first grower were used for improving the quality-decay models. The models were subsequently validated using the data from the second grower, as well as data from the first grower from year 2013 instead of 2015. So validation took place both in origin (a different grower) and in time (a different year).The validation showed that the behaviour of Anthurium ‘Arion’ was well predicted by the previously designed quality-decay models. For Phalaenopsis the performance of the quality-decay models differed per storage temperature. It was concluded that a quality-decay model first needs to be validated before it can be applied to predict the quality decay of a different production batch.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Postharvest Biology and Technology - Volume 123, January 2017, Pages 119–127
نویسندگان
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