Rapid determination of lime requirement by mid-infrared spectroscopy: A promising approach for precision agriculture

dc.bibliographicCitation.firstPage953eng
dc.bibliographicCitation.issue6eng
dc.bibliographicCitation.journalTitleJournal of Plant Nutrition and Soil Scienceeng
dc.bibliographicCitation.lastPage963eng
dc.bibliographicCitation.volume182eng
dc.contributor.authorLeenen, Matthias
dc.contributor.authorWelp, Gerhard
dc.contributor.authorGebbers, Robin
dc.contributor.authorPätzold, Stefan
dc.date.accessioned2021-07-23T09:28:57Z
dc.date.available2021-07-23T09:28:57Z
dc.date.issued2019
dc.description.abstractMid-infrared spectroscopy (MIRS) has proven to be a cost-effective, high throughput measurement technique for soil analysis. After multivariate calibration mid-infrared spectra can be used to predict various soil properties, some of which are related to lime requirement (LR). The objective of this study was to test the performance of MIRS for recommending variable rate liming on typical Central European soils in view of precision agriculture applications. In Germany, LR of arable topsoils is commonly derived from the parameters organic matter content (SOM), clay content, and soil pH (CaCl2) as recommended by the Association of German Agricultural Analytical and Research Institutes (VDLUFA). We analysed a total of 458 samples from six locations across Germany, which all revealed large within-field soil heterogeneity. Calcareous topsoils were observed at some positions of three locations (79 samples). To exclude such samples from LR determination, peak height at 2513 cm−1 of the MIR spectrum was used for identification. Spectra-based identification was accurate for carbonate contents > 0.5%. Subsequent LR derivation (LRSPP) from MIRS-PLSR predictions of SOM, clay, and pH (CaCl2) for non-calcareous soil samples using the VDLUFA look-up tables was successful for all locations (R2 = 0.54–0.82; RMSE = 857–1414 kg CaO ha−1). Alternatively, we tested direct LR prediction (LRDP) by MIRS-PLSR and also achieved satisfactory performance (R2 = 0.52–0.77; RMSE = 811–1420 kg CaO ha−1; RPD = 1.44–2.08). Further improvement was achieved by refining the VDLUFA tables towards a stepless algorithm. It can be concluded that MIRS provides a promising approach for precise LR estimation on heterogeneous arable fields. Large sample numbers can be processed with low effort which is an essential prerequisite for variable rate liming in precision agriculture. © 2019 The Authors. Journal of Plant Nutrition and Soil Science published by WILEY-VCH Verlag GmbH & Co. KGaAeng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/6341
dc.identifier.urihttps://doi.org/10.34657/5388
dc.language.isoengeng
dc.publisherWeinheim : Wiley-VCHeng
dc.relation.doihttps://doi.org/10.1002/jpln.201800670
dc.relation.essn1522-2624
dc.relation.issn0044-3263
dc.relation.issn1436-8730
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subject.ddc570eng
dc.subject.ddc630eng
dc.subject.ddc640eng
dc.subject.othercalciteeng
dc.subject.otherdolomiteeng
dc.subject.otherpartial least squares regressioneng
dc.subject.othersoil acidificationeng
dc.subject.othersoil heterogeneityeng
dc.subject.othersoil sensingeng
dc.subject.othervariable rate fertilizationeng
dc.titleRapid determination of lime requirement by mid-infrared spectroscopy: A promising approach for precision agricultureeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorATBeng
wgl.subjectBiowissensschaften/Biologieeng
wgl.typeZeitschriftenartikeleng
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