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Discriminating power of selected physical properties of seeds of various rapeseed ( Brassica napus L.) cultivars
- Source :
- Journal of Cereal Science. 73:62-67
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- In this study, the seeds of open-pollinated winter rapeseed cultivars, hybrid winter rapeseed cultivars, open-pollinated spring rapeseed cultivars and hybrid spring rapeseed cultivars were investigated. The physical, optical, mechanical, geometric and image texture properties of rapeseeds were compared. Statistical models were developed based on the analyzed parameters to discriminate between seed groups. Most parameters effectively discriminated between cultivars of winter and spring rapeseed, including true density, porosity, L* , a* , b* , and spectral values at 400 nm, 470 nm, 500–530 nm, 560–620 nm, 640–650 nm and 690 nm. Four homogeneous groups were identified based on linear dimensions: F (surface area), S (width) and shape factors W 6 (circularity ratio), Rb (Blair-Bliss coefficient) and W 13 (roundness). No statistically significant differences in the mean values of hardness or area under the force-displacement graph were observed between seed groups. The model developed based on image texture variables from channel Y (luminance) was characterized by the highest discrimination accuracy of 82–87%. The experimental groups were classified with 89–92% accuracy in the model combining the best variables from each group of physical parameters. Total classification accuracy in neural networks reached 75% for a validation set comprising geometric properties and 91–92% for a validation set containing physical characteristics.
- Subjects :
- 0106 biological sciences
Rapeseed
biology
Brassica
04 agricultural and veterinary sciences
biology.organism_classification
01 natural sciences
Biochemistry
Roundness (object)
Horticulture
Image texture
Homogeneous
Botany
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Cultivar
Particle density
Shape factor
010606 plant biology & botany
Food Science
Mathematics
Subjects
Details
- ISSN :
- 07335210
- Volume :
- 73
- Database :
- OpenAIRE
- Journal :
- Journal of Cereal Science
- Accession number :
- edsair.doi...........64712a68b1e2a0ab8e2e9f6074fedaa3