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dc.creatorRecena, Ramiroes
dc.creatorFernández Cabanás, Víctor Manueles
dc.creatorDelgado García, Antonioes
dc.date.accessioned2024-02-02T13:15:55Z
dc.date.available2024-02-02T13:15:55Z
dc.date.issued2019-03-01
dc.identifier.citationRecena, R., Fernández Cabanás, V.M. y Delgado García, A. (2019). Soil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indices. Geoderma, 337, 368-374. https://doi.org/10.1016/j.geoderma.2018.09.049.
dc.identifier.issn0016-7061es
dc.identifier.urihttps://hdl.handle.net/11441/154496
dc.description.abstractSoil fertility is typically assessed by chemical analysis, which is expensive and time-consuming, and hence impractical for site-specific fertilizer management. Visible and near infrared (Vis–NIR) spectroscopy has been used for determining soil properties and chemically extractable plant nutrients. However, the suitability of Vis–NIR for accurate assessment of nutrient availability to plants has not yet been fully explored. In this work, we examined the accuracy of this technique as a new nutrient availability index, and in the case of P as a proxy for plant-available P. To this end, total plant-available P in soil was quantified in a P-depletion experiment with crops, and the availability of Ca, Mg, K, and Fe was assessed by chemical extraction. Vis–NIR spectroscopy allowed us to accurately estimate plant-available P, which depends not only on soil factors but also on the crop performance to take up P. Vis–NIR spectroscopy proved effective in identifying P, Ca, Mg, K, and Fe responsive sites. Precise estimation of plant-available P was a result of accurately predicting soil properties governing P availability to plants by Vis–NIR spectroscopy. In addition, this technique provided accurate predictions of soil properties influencing the dynamics of applied P and K fertilizer, which can be useful to adapt fertilization practices to soil properties. Vis–NIR spectroscopy can therefore enable a qualitative leap to cost-effective integral assessment of soil fertility by providing accurate predictions of soil functioning rather than mere estimates of availability indices, thereby facilitating more sustainable use of resources in agriculture.es
dc.formatapplication/pdfes
dc.format.extent7es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofGeoderma, 337, 368-374.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectnutrient availabilityes
dc.subjectphosphoruses
dc.subjectpotassiumes
dc.subjectirones
dc.subjectsoil functioninges
dc.subjectNIRSes
dc.titleSoil fertility assessment by Vis-NIR spectroscopy: Predicting soil functioning rather than availability indiceses
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Agronomíaes
dc.identifier.doi10.1016/j.geoderma.2018.09.049es
dc.journaltitleGeodermaes
dc.publication.issue337es
dc.publication.initialPage368es
dc.publication.endPage374es

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