To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?
The utilization of high-throughput in-field phenotyping systems presents new opportunities for evaluating crop stress. However, existing studies have primarily focused on individual stresses, overlooking the fact that crops in field conditions frequently encounter multiple stresses, which can displa...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2023-01-01
|
| Series: | Plant Phenomics |
| Online Access: | https://spj.science.org/doi/10.34133/plantphenomics.0083 |
| _version_ | 1827820830712659968 |
|---|---|
| author | Alexis Carlier Sebastien Dandrifosse Benjamin Dumont Benoît Mercatoris |
| author_facet | Alexis Carlier Sebastien Dandrifosse Benjamin Dumont Benoît Mercatoris |
| author_sort | Alexis Carlier |
| collection | DOAJ |
| description | The utilization of high-throughput in-field phenotyping systems presents new opportunities for evaluating crop stress. However, existing studies have primarily focused on individual stresses, overlooking the fact that crops in field conditions frequently encounter multiple stresses, which can display similar symptoms or interfere with the detection of other stress factors. Therefore, this study aimed to investigate the impact of wheat yellow rust on reflectance measurements and nitrogen status assessment. A multi-sensor mobile platform was utilized to capture RGB and multispectral images throughout a 2-year fertilization-fungicide trial. To identify disease-induced damage, the SegVeg approach, which combines a U-NET architecture and a pixel-wise classifier, was applied to RGB images, generating a mask capable of distinguishing between healthy and damaged areas of the leaves. The observed proportion of damage in the images demonstrated similar effectiveness to visual scoring methods in explaining grain yield. Furthermore, the study discovered that the disease not only affected reflectance through leaf damage but also influenced the reflectance of healthy areas by disrupting the overall nitrogen status of the plants. This emphasizes the importance of incorporating disease impact into reflectance-based decision support tools to account for its effects on spectral data. This effect was successfully mitigated by employing the NDRE vegetation index calculated exclusively from the healthy portions of the leaves or by incorporating the proportion of damage into the model. However, these findings also highlight the necessity for further research specifically addressing the challenges presented by multiple stresses in crop phenotyping. |
| first_indexed | 2024-03-12T01:33:40Z |
| format | Article |
| id | doaj.art-dbfb08fcf4d543e296c50e0a4b14122e |
| institution | Directory Open Access Journal |
| issn | 2643-6515 |
| language | English |
| last_indexed | 2024-03-12T01:33:40Z |
| publishDate | 2023-01-01 |
| publisher | American Association for the Advancement of Science (AAAS) |
| record_format | Article |
| series | Plant Phenomics |
| spelling | doaj.art-dbfb08fcf4d543e296c50e0a4b14122e2023-09-11T14:15:59ZengAmerican Association for the Advancement of Science (AAAS)Plant Phenomics2643-65152023-01-01510.34133/plantphenomics.0083To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status?Alexis Carlier0Sebastien Dandrifosse1Benjamin Dumont2Benoît Mercatoris3Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.Plant Sciences, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.Biosystems Dynamics and Exchanges, TERRA Teaching and Research Center, Gembloux Agro-Bio Tech, University of Liège, 5030 Gembloux, Belgium.The utilization of high-throughput in-field phenotyping systems presents new opportunities for evaluating crop stress. However, existing studies have primarily focused on individual stresses, overlooking the fact that crops in field conditions frequently encounter multiple stresses, which can display similar symptoms or interfere with the detection of other stress factors. Therefore, this study aimed to investigate the impact of wheat yellow rust on reflectance measurements and nitrogen status assessment. A multi-sensor mobile platform was utilized to capture RGB and multispectral images throughout a 2-year fertilization-fungicide trial. To identify disease-induced damage, the SegVeg approach, which combines a U-NET architecture and a pixel-wise classifier, was applied to RGB images, generating a mask capable of distinguishing between healthy and damaged areas of the leaves. The observed proportion of damage in the images demonstrated similar effectiveness to visual scoring methods in explaining grain yield. Furthermore, the study discovered that the disease not only affected reflectance through leaf damage but also influenced the reflectance of healthy areas by disrupting the overall nitrogen status of the plants. This emphasizes the importance of incorporating disease impact into reflectance-based decision support tools to account for its effects on spectral data. This effect was successfully mitigated by employing the NDRE vegetation index calculated exclusively from the healthy portions of the leaves or by incorporating the proportion of damage into the model. However, these findings also highlight the necessity for further research specifically addressing the challenges presented by multiple stresses in crop phenotyping.https://spj.science.org/doi/10.34133/plantphenomics.0083 |
| spellingShingle | Alexis Carlier Sebastien Dandrifosse Benjamin Dumont Benoît Mercatoris To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? Plant Phenomics |
| title | To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? |
| title_full | To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? |
| title_fullStr | To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? |
| title_full_unstemmed | To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? |
| title_short | To What Extent Does Yellow Rust Infestation Affect Remotely Sensed Nitrogen Status? |
| title_sort | to what extent does yellow rust infestation affect remotely sensed nitrogen status |
| url | https://spj.science.org/doi/10.34133/plantphenomics.0083 |
| work_keys_str_mv | AT alexiscarlier towhatextentdoesyellowrustinfestationaffectremotelysensednitrogenstatus AT sebastiendandrifosse towhatextentdoesyellowrustinfestationaffectremotelysensednitrogenstatus AT benjamindumont towhatextentdoesyellowrustinfestationaffectremotelysensednitrogenstatus AT benoitmercatoris towhatextentdoesyellowrustinfestationaffectremotelysensednitrogenstatus |