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Linking horizontal crosshole GPR variability with root image information for maize crops

dc.contributor.authorLärm, Lena
dc.contributor.authorBauer, Felix Maximilian
dc.contributor.authorvan der Kruk, Jan
dc.contributor.authorVanderborght, Jan
dc.contributor.authorMorandage, Shehan
dc.contributor.authorVereecken, Harry
dc.contributor.authorSchnepf, Andrea
dc.contributor.authorKlotzsche, Anja
dc.date.accessioned2024-08-19T12:58:28Z
dc.date.available2024-08-19T12:58:28Z
dc.date.issued2023de
dc.description.abstractNon‐invasive imaging of processes within the soil–plant continuum, particularly root and soil water distributions, can help optimize agricultural practices such as irrigation and fertilization. In this study, in‐situ time‐lapse horizontal crosshole ground penetrating radar (GPR) measurements and root images were collected over three maize crop growing seasons at two minirhizotron facilities (Selhausen, Germany). Root development and GPR permittivity were monitored at six depths (0.1–1.2 m) for different treatments within two soil types. We processed these data in a new way that gave us the information of the “trend‐corrected spatial permittivity deviation of vegetated field,” allowing us to investigate whether the presence of roots increases the variability of GPR permittivity in the soil. This removed the main non‐root‐related influencing factors: static influences, such as soil heterogeneities and rhizotube deviations, and dynamic effects, such as seasonal moisture changes. This trend‐corrected spatial permittivity deviation showed a clear increase during the growing season, which could be linked with a similar increase in root volume fraction. Additionally, the corresponding probability density functions of the permittivity variability were derived and cross‐correlated with the root volume fraction, resulting in a coefficient of determination (R2) above 0.5 for 23 out of 46 correlation pairs. Although both facilities had different soil types and compaction levels, they had similar numbers of good correlations. A possible explanation for the observed correlation is that the presence of roots causes a redistribution of soil water, and therefore an increase in soil water variability.en
dc.identifier.urihttps://hohpublica.uni-hohenheim.de/handle/123456789/16089
dc.identifier.urihttps://doi.org/10.1002/vzj2.20293
dc.language.isoengde
dc.rights.licensecc_by-nc-ndde
dc.source1539-1663de
dc.sourceVadose Zone Journal; Vol. 23, No. 1 (2023) e20293de
dc.subjectNon-invasive imaging
dc.subjectGround Penetrating Radar (GPR)
dc.subjectSoil-plant continuum
dc.subjectRoot development
dc.subjectSoil water distribution
dc.subjectPermittivity variability
dc.subjectMaize crop
dc.subjectIrrigation optimization
dc.subject.ddc630
dc.titleLinking horizontal crosshole GPR variability with root image information for maize cropsen
dc.type.diniArticle
dcterms.bibliographicCitationVadose zone journal, 23 (2023), 1, e20293. https://doi.org/10.1002/vzj2.20293. ISSN: 1539-1663
dcterms.bibliographicCitation.issn1539-1663
dcterms.bibliographicCitation.issue1
dcterms.bibliographicCitation.journaltitleVadose zone journal
dcterms.bibliographicCitation.volume23
local.export.bibtex@article{Lärm2023, url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16089}, doi = {10.1002/vzj2.20293}, author = {Lärm, Lena and Bauer, Felix Maximilian and van der Kruk, Jan et al.}, title = {Linking horizontal crosshole GPR variability with root image information for maize crops}, journal = {Vadose zone journal}, year = {2023}, volume = {23}, number = {1}, }
local.export.bibtexAuthorLärm, Lena and Bauer, Felix Maximilian and van der Kruk, Jan et al.
local.export.bibtexKeyLärm2023
local.export.bibtexType@article

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