Suitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potato

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dc.contributor.authorHoelle, Julia
dc.contributor.authorAsch, Folkard
dc.contributor.authorKhan, Awais
dc.contributor.authorBonierbale, Merideth
dc.date.accessioned2024-08-19T12:58:42Z
dc.date.available2024-08-19T12:58:42Z
dc.date.issued2023de
dc.description.abstractPotato 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.en
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16137
dc.identifier.urihttps://doi.org/10.1111/jac.12671
dc.language.isoengde
dc.rights.licensecc_by-nc-ndde
dc.source1439-037Xde
dc.sourceJournal of Agronomy and Crop Science; Vol. 210, No. 1 (2023) e12671de
dc.subjectCrop reflectanceen
dc.subjectDroughten
dc.subjectPhenologyen
dc.subjectSolanum tuberosum L.en
dc.subjectStress severityen
dc.subjectThermographyen
dc.subject.ddc630
dc.titleSuitability of the stress severity index combined with remote‐sensing data as a tool to evaluate drought resistance traits in potatoen
dc.type.diniArticle
dcterms.bibliographicCitationJournal of agronomy and crop science, 210 (2023), 1, e12671. https://doi.org/10.1111/jac.12671. ISSN: 1439-037X
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleJournal of agronomy and crop science
dcterms.bibliographicCitation.volume210
local.export.bibtex@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}, }
local.export.bibtexAuthorHoelle, Julia and Asch, Folkard and Khan, Awais et al.
local.export.bibtexKeyHoelle2023
local.export.bibtexType@article

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