Barley varieties discriminated by the near infrared hyperspectral imaging technique
- Vermeulen, P. , Buhigiro, T. , Herman, J. , Lecler, B. , Mouteau, A. , Sinnaeve, G. , Baeten, V. , Dardenne, P. & Fernández Pierna, J.A. (2007). Barley varieties discriminated by the near infrared hyperspectral imaging technique. Poster in: 13th International Conference on Near Infrared Spectroscopy, UMEA - Sweden, 15-21 June 2007.
| Type | Poster |
| Year | 2007 |
| Title | Barley varieties discriminated by the near infrared hyperspectral imaging technique |
| Event name | 13th International Conference on Near Infrared Spectroscopy |
| Event location | UMEA - Sweden |
| Label | U15-1038 |
| Recnumber | 539 |
| Event date | 15-21 June 2007 |
| Endnote keywords | imagerie spectrale |
| Endnote Keywords | grain|kernel|NIR hyperspectral imaging|variety discrimination|barley| |
| Abstract | In order to identify and assess the barley varieties, a large number of analytical methods have been developed: visual examination of the kernel morphology, simple laboratory tests and measures, more elaborated and slower methods as protein or DNA detection and non destructive and rapid methods. The trials for barley registration on the Belgium catalog studied at the CRA-W offered a real opportunity for a variety discrimination study. Three hundred seventy-eight barley samples are available. They are issued from different trials planned on three years and from seven Belgium locations. The varieties tested are winter and spring barley, 2 and 6 rows barley including malting and feed grade barleys. These samples have been selected in such a way that any variation due to climate, geographical location or agronomy in Belgium is included. All those varieties were first observed in the field and then the samples were analysed at the laboratory. Information regarding diseases, height, earliness, yield and component yield, have been collected as well as technological analyses by using reference methods and spectroscopic methods. Beside those classical analyses, a recent and more sophisticated technique is also applied: the kernel by kernel analysis using the NIR imaging method. The objective of this study is to propose a fast and reliable method for the discrimination of varieties. This is essential for establishing an efficient system for the traceability and quality control required in the seed sector as well as in the food and feed sectors. This work is partly undertaken in the framework of the FP6 CO-EXTRA project and the first results of the researches undertaken by the CRA-W allow to define the potential ability in variety discrimination by analysing kernel by kernel using NIR hyperspectral imaging spectrometers. |
| Author address | Vermeulen Philippe, Quality Department of Agro-food Products, Walloon Agricultural Research Centre (CRA-W), Chaussée de Namur, 24, B-5030 Gembloux, vermeulen@cra.wallonie.be |
| Fichier | |
| Caption | U15-1038-vermeulen-2007.pdf |
| Lien | http://www.nir2007.com/abstracts/system/poster_c/C-47_266.pdf |
| Authors | Vermeulen, P., Buhigiro, T., Herman, J., Lecler, B., Mouteau, A., Sinnaeve, G., Baeten, V., Dardenne, P., Fernández Pierna, J.A. |
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