Home > Publications database > Linking horizontal crosshole GPR variability with root image information for maize crops > print

001     1017300
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024 7 _ |a 10.1002/vzj2.20293
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100 1 _ |a Lärm, Lena
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245 _ _ |a Linking horizontal crosshole GPR variability with root image information for maize crops
260 _ _ |a Hoboken, NJ
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520 _ _ |a Non-invasive imaging of processes within the soil–plant continuum, particularly rootand soilwater distributions, can help optimize agricultural practices such as irrigationand fertilization. In this study, in situ time-lapse horizontal crosshole groundpenetratingradar (GPR) measurements and root images were collected over threemaize 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 waythat gave us the information of the “trend-corrected spatial permittivity deviation ofvegetated field,” allowing us to investigatewhether the presence of roots increases thevariability of GPR permittivity in the soil. This removed the main non-root-relatedinfluencing factors: static influences, such as soil heterogeneities and rhizotube deviations,and dynamic effects, such as seasonal moisture changes. This trend-correctedspatial 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 werederived and cross-correlated with the root volume fraction, resulting in a coefficientof determination (R2) above 0.5 for 23 out of 46 correlation pairs. Although bothfacilities had different soil types and compaction levels, they had similar numbersof good correlations. A possible explanation for the observed correlation is that thepresence of roots causes a redistribution of soil water, and therefore an increase insoil water variability.
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536 _ _ |a DFG project 390732324 - EXC 2070: PhenoRob - Robotik und Phänotypisierung für Nachhaltige Nutzpflanzenproduktion (390732324)
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536 _ _ |a DFG project 15232683 - TRR 32: Muster und Strukturen in Boden-Pflanzen-Atmosphären-Systemen: Erfassung, Modellierung und Datenassimilation (15232683)
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700 1 _ |a Bauer, Felix
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700 1 _ |a van der Kruk, Jan
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700 1 _ |a Vanderborght, Jan
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700 1 _ |a Morandage, Shehan
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700 1 _ |a Schnepf, Andrea
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700 1 _ |a Klotzsche, Anja
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