Description of olive morphological parameters by using open access software
Abstract Background The morphological analysis of olive leaves, fruits and endocarps may represent an efficient tool for the characterization and discrimination of cultivars and the establishment of relationships among them. In recent years, much attention has been focused on the application of mole...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2017-12-01
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| Series: | Plant Methods |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13007-017-0261-8 |
| _version_ | 1819198611966132224 |
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| author | Konstantinos N. Blazakis Maria Kosma George Kostelenos Luciana Baldoni Marina Bufacchi Panagiotis Kalaitzis |
| author_facet | Konstantinos N. Blazakis Maria Kosma George Kostelenos Luciana Baldoni Marina Bufacchi Panagiotis Kalaitzis |
| author_sort | Konstantinos N. Blazakis |
| collection | DOAJ |
| description | Abstract Background The morphological analysis of olive leaves, fruits and endocarps may represent an efficient tool for the characterization and discrimination of cultivars and the establishment of relationships among them. In recent years, much attention has been focused on the application of molecular markers, due to their high diagnostic efficiency and independence from environmental and phenological variables. Results In this study, we present a semi-automatic methodology of detecting various morphological parameters. With the aid of computing and image analysis tools, we created semi-automatic algorithms applying intuitive mathematical descriptors that quantify many fruit, leaf and endocarp morphological features. In particular, we examined quantitative and qualitative characters such as size, shape, symmetry, contour roughness and presence of additional structures such as nipple, petiole, endocarp surface roughness, etc.. Conclusion We illustrate the performance and the applicability of our approach on Greek olive cultivars; on sets of images from fruits, leaves and endocarps. In addition, the proposed methodology was also applied for the description of other crop species morphologies such as tomato, grapevine and pear. This allows us to describe crop morphologies efficiently and robustly in a semi-automated way. |
| first_indexed | 2024-12-23T03:03:12Z |
| format | Article |
| id | doaj.art-523253928ec141d18a4c405ca318d322 |
| institution | Directory Open Access Journal |
| issn | 1746-4811 |
| language | English |
| last_indexed | 2024-12-23T03:03:12Z |
| publishDate | 2017-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Plant Methods |
| spelling | doaj.art-523253928ec141d18a4c405ca318d3222022-12-21T18:02:23ZengBMCPlant Methods1746-48112017-12-0113111510.1186/s13007-017-0261-8Description of olive morphological parameters by using open access softwareKonstantinos N. Blazakis0Maria Kosma1George Kostelenos2Luciana Baldoni3Marina Bufacchi4Panagiotis Kalaitzis5Department of Horticultural Genetics and Biotechnology, Mediterranean Agronomic Institute of Chania (MAICh)Department of Horticultural Genetics and Biotechnology, Mediterranean Agronomic Institute of Chania (MAICh)Kostelenos Olive NurseriesItalian National Research Council, Institute of Biosciences and Bio-Resources (CNR-IBBR)Italian National Research Council, Institute for Agriculture and Forest Systems in the Mediterranean (CNR-ISAFOM)Department of Horticultural Genetics and Biotechnology, Mediterranean Agronomic Institute of Chania (MAICh)Abstract Background The morphological analysis of olive leaves, fruits and endocarps may represent an efficient tool for the characterization and discrimination of cultivars and the establishment of relationships among them. In recent years, much attention has been focused on the application of molecular markers, due to their high diagnostic efficiency and independence from environmental and phenological variables. Results In this study, we present a semi-automatic methodology of detecting various morphological parameters. With the aid of computing and image analysis tools, we created semi-automatic algorithms applying intuitive mathematical descriptors that quantify many fruit, leaf and endocarp morphological features. In particular, we examined quantitative and qualitative characters such as size, shape, symmetry, contour roughness and presence of additional structures such as nipple, petiole, endocarp surface roughness, etc.. Conclusion We illustrate the performance and the applicability of our approach on Greek olive cultivars; on sets of images from fruits, leaves and endocarps. In addition, the proposed methodology was also applied for the description of other crop species morphologies such as tomato, grapevine and pear. This allows us to describe crop morphologies efficiently and robustly in a semi-automated way.http://link.springer.com/article/10.1186/s13007-017-0261-8Morphological analysisImage analysisOliveFruitLeafEndocarp |
| spellingShingle | Konstantinos N. Blazakis Maria Kosma George Kostelenos Luciana Baldoni Marina Bufacchi Panagiotis Kalaitzis Description of olive morphological parameters by using open access software Plant Methods Morphological analysis Image analysis Olive Fruit Leaf Endocarp |
| title | Description of olive morphological parameters by using open access software |
| title_full | Description of olive morphological parameters by using open access software |
| title_fullStr | Description of olive morphological parameters by using open access software |
| title_full_unstemmed | Description of olive morphological parameters by using open access software |
| title_short | Description of olive morphological parameters by using open access software |
| title_sort | description of olive morphological parameters by using open access software |
| topic | Morphological analysis Image analysis Olive Fruit Leaf Endocarp |
| url | http://link.springer.com/article/10.1186/s13007-017-0261-8 |
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