Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model
Abstract Premise Plant leaves are one of the most important organs for plant identification due to their variability across different taxonomic groups. While traditional morphometrics has contributed tremendously to reducing the problems accompanying plant identification and morphology‐based species...
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| Format: | Article |
| Language: | English |
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Wiley
2021-09-01
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| Series: | Applications in Plant Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aps3.11448 |
| _version_ | 1818716925319970816 |
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| author | Oluwatobi A. Oso Adeniyi A. Jayeola |
| author_facet | Oluwatobi A. Oso Adeniyi A. Jayeola |
| author_sort | Oluwatobi A. Oso |
| collection | DOAJ |
| description | Abstract Premise Plant leaves are one of the most important organs for plant identification due to their variability across different taxonomic groups. While traditional morphometrics has contributed tremendously to reducing the problems accompanying plant identification and morphology‐based species delimitation, image‐analysis digital solutions have made it easy to detect more characters to complement existing leaf data sets. Methods Here, we apply MorphoLeaf to generate a morphometric data set from 140 leaf specimens of seven Cucurbitaceae species via landmark extraction, the reparameterization of leaf contours, and data quantification and normalization. A statistical analysis was performed on the resulting data set. Results A principal component analysis revealed that leaf blade area, blade perimeter, tooth area, tooth perimeter, the measure of the distance from tooth position to the tip, and the measure of the distance from tooth position to the base are important and informative landmarks that contribute to the variation within the species studied. Discussion MorphoLeaf can be applied to quantitatively track leaf diversity, thereby functionally integrating morphometrics and shape visualization into the digital identification of plants. The success of digital morphometrics in leaf outline analyses presents researchers with opportunities to carry out more accurate image‐based research in areas such as plant development, evolution, and phenotyping. |
| first_indexed | 2024-12-17T19:27:00Z |
| format | Article |
| id | doaj.art-91919070589f4ac2ae221135dc81bc58 |
| institution | Directory Open Access Journal |
| issn | 2168-0450 |
| language | English |
| last_indexed | 2024-12-17T19:27:00Z |
| publishDate | 2021-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applications in Plant Sciences |
| spelling | doaj.art-91919070589f4ac2ae221135dc81bc582022-12-21T21:35:22ZengWileyApplications in Plant Sciences2168-04502021-09-0199-10n/an/a10.1002/aps3.11448Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a modelOluwatobi A. Oso0Adeniyi A. Jayeola1Plant Anatomy Laboratory, Department of Botany University of Ibadan Oyo State NigeriaPlant Anatomy Laboratory, Department of Botany University of Ibadan Oyo State NigeriaAbstract Premise Plant leaves are one of the most important organs for plant identification due to their variability across different taxonomic groups. While traditional morphometrics has contributed tremendously to reducing the problems accompanying plant identification and morphology‐based species delimitation, image‐analysis digital solutions have made it easy to detect more characters to complement existing leaf data sets. Methods Here, we apply MorphoLeaf to generate a morphometric data set from 140 leaf specimens of seven Cucurbitaceae species via landmark extraction, the reparameterization of leaf contours, and data quantification and normalization. A statistical analysis was performed on the resulting data set. Results A principal component analysis revealed that leaf blade area, blade perimeter, tooth area, tooth perimeter, the measure of the distance from tooth position to the tip, and the measure of the distance from tooth position to the base are important and informative landmarks that contribute to the variation within the species studied. Discussion MorphoLeaf can be applied to quantitatively track leaf diversity, thereby functionally integrating morphometrics and shape visualization into the digital identification of plants. The success of digital morphometrics in leaf outline analyses presents researchers with opportunities to carry out more accurate image‐based research in areas such as plant development, evolution, and phenotyping.https://doi.org/10.1002/aps3.11448botanical digitizationgeomorphometricslandmarksleaf outline analysisMorphoLeafshape visualization |
| spellingShingle | Oluwatobi A. Oso Adeniyi A. Jayeola Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model Applications in Plant Sciences botanical digitization geomorphometrics landmarks leaf outline analysis MorphoLeaf shape visualization |
| title | Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model |
| title_full | Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model |
| title_fullStr | Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model |
| title_full_unstemmed | Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model |
| title_short | Digital morphometrics: Application of MorphoLeaf in shape visualization and species delimitation, using Cucurbitaceae leaves as a model |
| title_sort | digital morphometrics application of morpholeaf in shape visualization and species delimitation using cucurbitaceae leaves as a model |
| topic | botanical digitization geomorphometrics landmarks leaf outline analysis MorphoLeaf shape visualization |
| url | https://doi.org/10.1002/aps3.11448 |
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