RESEARCH ARTICLE


New Perspectives for Seed Germination Testing Through Digital Imaging Technology



Antonio Dell’Aquila
Institute of Plant Genetics-CNR, Via G. Amendola 165/a, 70126, Bari, Italy


Article Metrics

CrossRef Citations:
0
Total Statistics:

Full-Text HTML Views: 2160
Abstract HTML Views: 2084
PDF Downloads: 1856
Total Views/Downloads: 6100
Unique Statistics:

Full-Text HTML Views: 890
Abstract HTML Views: 1210
PDF Downloads: 1333
Total Views/Downloads: 3433



Creative Commons License
© 2009 Dell’Aquila et al.;

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Via Abate Gimma 247-70122 Bari, Italy; E-mail: dellaquilaantonio@tiscali.it, antonio.dellaquila@igv.cnr.it§ Formerly Senior Scientist of the CNR, Italy.


Abstract

A digital image of a plant seed can be regarded as a two-dimensional object which can be measured in size, shape and color density during the development stage of germination by computer image analysis technology. Seed changes its biological structure passing from a quiescent stage to a proliferating one, and any morphological variation can be associated with the corresponding variation of seed geometry and color space components. Future perspectives are addressed to design comprehensive biological models that may contribute to studying seed quality patterns possibly integrated with those proposed for other biological systems.

Keywords: Computer image analysis, seed geometry, information technology, crop seeds.