Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato
Potato is a drought susceptible crop and even short drought spells reduce tuber yields notably. In an earlier study we developed a stress severity index (SSI) based on the development stage of a genotype at the onset of drought and the soil water deficit based on soil water tension. Here, we test th...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/132301 |
| _version_ | 1855534926228619264 |
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| author | Hoelle, J. Asch, F. Khan, A. Bonierbale, M. |
| author_browse | Asch, F. Bonierbale, M. Hoelle, J. Khan, A. |
| author_facet | Hoelle, J. Asch, F. Khan, A. Bonierbale, M. |
| author_sort | Hoelle, J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Potato is a drought susceptible crop and even short drought spells reduce tuber yields notably. In an earlier study we developed a stress severity index (SSI) based on the development stage of a genotype at the onset of drought and the soil water deficit based on soil water tension. Here, we test the suitability of the SSI combined with remotely sensed data as a screening tool to select drought-tolerant potato geno-types. Normalized difference vegetation index (NDVI) and the photochemical reflec-tance index (PRI) were obtained from reflectance measurements and thermography. Temperature data from the thermography allow using the difference between leaf and air temperature (∆T) to estimate the transpirational cooling of the leaves. Via clus-ter analysis including SSI, tuber yield reduction under drought, NDVI, PRI and ther-mography, three groups were distinguished: 1. SSI < 1000 with fast decreasing NDVI, PRI and ∆T, 2. SSI 1000–2000 with almost constant NDVI and ∆T and 3. SSI > 2000 described by small changes of NDVI, PRI and temperature deficit. For SSI < 1000, ∆T, PRI and NDVI showed to be good indicators of genotypic performance under drought. Potential strategies for drought resistance in potato detectable through remote sens-ing are discussed. |
| format | Journal Article |
| id | CGSpace132301 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace1323012025-10-26T12:56:11Z Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato Hoelle, J. Asch, F. Khan, A. Bonierbale, M. crops drought phenology solanum tuberosum thermography Potato is a drought susceptible crop and even short drought spells reduce tuber yields notably. In an earlier study we developed a stress severity index (SSI) based on the development stage of a genotype at the onset of drought and the soil water deficit based on soil water tension. Here, we test the suitability of the SSI combined with remotely sensed data as a screening tool to select drought-tolerant potato geno-types. Normalized difference vegetation index (NDVI) and the photochemical reflec-tance index (PRI) were obtained from reflectance measurements and thermography. Temperature data from the thermography allow using the difference between leaf and air temperature (∆T) to estimate the transpirational cooling of the leaves. Via clus-ter analysis including SSI, tuber yield reduction under drought, NDVI, PRI and ther-mography, three groups were distinguished: 1. SSI < 1000 with fast decreasing NDVI, PRI and ∆T, 2. SSI 1000–2000 with almost constant NDVI and ∆T and 3. SSI > 2000 described by small changes of NDVI, PRI and temperature deficit. For SSI < 1000, ∆T, PRI and NDVI showed to be good indicators of genotypic performance under drought. Potential strategies for drought resistance in potato detectable through remote sens-ing are discussed. 2024-02 2023-10-17T15:18:54Z 2023-10-17T15:18:54Z Journal Article https://hdl.handle.net/10568/132301 en Open Access Wiley Hoelle, J.; Asch, F.; Khan, A.; Bonierbale, M. 2023. Suitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potato. Journal of Agronomy and Crop Science. ISSN 1439-037X. |
| spellingShingle | crops drought phenology solanum tuberosum thermography Hoelle, J. Asch, F. Khan, A. Bonierbale, M. Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title | Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title_full | Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title_fullStr | Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title_full_unstemmed | Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title_short | Suitability of the stress severity index combined with remote-sensing data as a tool to evaluate drought resistance traits in potato |
| title_sort | suitability of the stress severity index combined with remote sensing data as a tool to evaluate drought resistance traits in potato |
| topic | crops drought phenology solanum tuberosum thermography |
| url | https://hdl.handle.net/10568/132301 |
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