Vol. 29 No. 1 (2015)
Articles

Innovative application of NIR-AOTF and MRI to study water behaviour in cut flower

A. Bellincontro
DIPAF, Università della Tuscia, Via De Lellis, 01100 Viterbo
Massimiliano Valentini
CRA, Centro di ricerca per lo studio delle relazioni tra pianta e suolo, Azienda Sperimentale di Tor Mancina, Strada della Neve km 1, 00015 Monterotondo (RM)
Roberto Forniti
DIPAF, Università della Tuscia, Via De Lellis, 01100 Viterbo
Fabio Mencarelli
DIPAF, Università della Tuscia, Via De Lellis, 01100 Viterbo
Published March 31, 2015
Keywords
  • dry matter,
  • flower,
  • image software,
  • MRI,
  • NIR-AOTF,
  • plugging
  • ...More
    Less
How to Cite
Bellincontro, A., Valentini, M., Forniti, R., & Mencarelli, F. (2015). Innovative application of NIR-AOTF and MRI to study water behaviour in cut flower. Advances in Horticultural Science, 29(1), 30-36. https://doi.org/10.13128/ahs-21302

Abstract

In order to study the water status of cut flowers, a comparison study was made between flowers stored in water and flowers stored «dry pack», by using a portable NIR (near infrared)-AOTF(acousto-optical tunable filter) instrument and MRI (magnetic resonance imaging). As model flower, Zantedeschia aethiopica (commercially known as Calla lily) was used. To predict the weight loss and water content by NIR-AOTF, cut flowers were dried in a cold room at 10°C (±1°C) and 85% (±5%) relative humidity (RH), and measured for weight loss. For MRI application, 4 and 20°C storage temperatures were used for flowers kept in water or dry; two stem sections, basal and middle, were measured. Significant correlation results for weight loss and water content ( R2 in calibration = 0.98 for estimated % of water loss and 0.96 for % of water content; R2 cv = 0.95 and 0.90) were obtained by NIR-AOTF spectra acquisitions. MRI detected vessel degradation in the stem of the water-stored flowers at 4°C but at 20°C in dry storage no vessel degradation appeared and images were correlated with dry matter values. The use of image software allowed the transformation of images in normalized population and pixel intensity, which gave hints about the potential use of these data to combine with NIR-AOTF data. NIR-AOTF, an easy-to-use and non destructive instrument, can be used to predict the vase life of cut flowers by measuring water content or weight loss. MRI is a powerful tool to identify the plugging of vessels but it is destructive; the image software used represents a useful tool to correlate MRI with NIR-AOTF to predict vessel plugging.

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