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Article
2023
Suitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potato
Suitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potato
Abstract (English)
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 genotypes. Normalized difference vegetation index (NDVI) and the photochemical reflectance 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 cluster analysis including SSI, tuber yield reduction under drought, NDVI, PRI and thermography, 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 sensing are discussed.
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Journal of agronomy and crop science, 210 (2023), 1, e12671.
https://doi.org/10.1111/jac.12671.
ISSN: 1439-037X
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630 Agriculture
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@article{Hoelle2023,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16137},
doi = {10.1111/jac.12671},
author = {Hoelle, Julia and Asch, Folkard and Khan, Awais et al.},
title = {Suitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potato},
journal = {Journal of agronomy and crop science},
year = {2023},
volume = {210},
number = {1},
}