Loading…

Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium

Intake of cadmium (Cd) via vegetable food poses a possible health risk. Cereals are one of the major sources of Cd, and the Cd concentration in the soil has a great effect on the levels in the grain. The aim of the study was to produce decision support for identification of areas suitable for low-Cd...

Full description

Saved in:
Bibliographic Details
Published in:Agronomy (Basel) 2023, Vol.13 (2), p.317
Main Authors: Adler, Karl, Persson, Kristin, Söderström, Mats, Eriksson, Jan, Pettersson, Carl-Göran
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3
cites cdi_FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3
container_end_page
container_issue 2
container_start_page 317
container_title Agronomy (Basel)
container_volume 13
creator Adler, Karl
Persson, Kristin
Söderström, Mats
Eriksson, Jan
Pettersson, Carl-Göran
description Intake of cadmium (Cd) via vegetable food poses a possible health risk. Cereals are one of the major sources of Cd, and the Cd concentration in the soil has a great effect on the levels in the grain. The aim of the study was to produce decision support for identification of areas suitable for low-Cd winter wheat production in the form of a detailed digital soil map covering an important agricultural region in southern Sweden. A two-step approach was used: (1) we increased the number of soil Cd observations by combining two sets of soil samples, one with laboratory Cd analyses (304 samples) and one with predicted Cd from a portable x-ray fluorescent (PXRF) sensor (2097 samples); and (2) a digital soil mapping (DSM) model (gradient boosting regression) was calibrated on all 2401 soil samples to create a soil Cd concentration map using a number of covariates, of which airborne gamma ray data was identified as the most important. In the first step, cross-validation of the PXRF model obtained a model efficiency (E) of 0.82 and mean absolute error (MAE) of 0.08 mg kg−1. The DSM model had an E of 0.69 and MAE of 0.11 mg kg−1. The map of predicted soil Cd concentrations were compared against 307 winter wheat (Triticum aestivum L.) grain samples with laboratory-analyzed Cd concentrations. Areas in the map with low soil Cd concentrations had a high frequency of lower grain Cd concentrations. The map thus seemed to have potential for finding areas suitable for production of low-Cd winter wheat; e.g., for baby food.
doi_str_mv 10.3390/agronomy13020317
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_a1227f8c9340430ab0e15c7832ecfffd</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A742993606</galeid><doaj_id>oai_doaj_org_article_a1227f8c9340430ab0e15c7832ecfffd</doaj_id><sourcerecordid>A742993606</sourcerecordid><originalsourceid>FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3</originalsourceid><addsrcrecordid>eNpdkk2P0zAQhiMEEqtl7xwtce4y_oidcKsKLJWKQFqkPVoTx866SuxiJ1T997gUwYLnMKPXfh_NWFNVryncct7CWxxSDHE6UQ4MOFXPqisGiq8Eb-vnT-qX1U3OeyinpbwBdVX9eO8HP-NI7qMfyWc8HHwYSHRkg_3kl-kd2fY2zN6dzvo6YTdassPQExcT-Zpiv5jzzYMPs03k4dHiTI5-fiS7eCSbGExxJ5x9DPkJ9lX1wuGY7c3vfF3df_zwbfNptftyt92sdysjajWvlBRWcc6UcawBboC6vjHS1oxxcA0KcKwD2QuUjcSGu1rW5blhTHTC8Otqe6H2Eff6kPyE6aQjev1LiGnQmGZvRquRMqZcY1ouQHDADiytjWo4s8Y51xfW7YWVj_awdP_Q8rh0mM5JZ6spoxKaYnhzMRxS_L7YPOt9XFIo02qmVFuDkJz-xQ5YuvDBxfJbpkRvJ29isM4Xfa0Ea1suQRYDXAwmxZyTdX86oaDPy6D_Xwb-E8p8qOU</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2779504631</pqid></control><display><type>article</type><title>Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><creator>Adler, Karl ; Persson, Kristin ; Söderström, Mats ; Eriksson, Jan ; Pettersson, Carl-Göran</creator><creatorcontrib>Adler, Karl ; Persson, Kristin ; Söderström, Mats ; Eriksson, Jan ; Pettersson, Carl-Göran ; Sveriges lantbruksuniversitet</creatorcontrib><description>Intake of cadmium (Cd) via vegetable food poses a possible health risk. Cereals are one of the major sources of Cd, and the Cd concentration in the soil has a great effect on the levels in the grain. The aim of the study was to produce decision support for identification of areas suitable for low-Cd winter wheat production in the form of a detailed digital soil map covering an important agricultural region in southern Sweden. A two-step approach was used: (1) we increased the number of soil Cd observations by combining two sets of soil samples, one with laboratory Cd analyses (304 samples) and one with predicted Cd from a portable x-ray fluorescent (PXRF) sensor (2097 samples); and (2) a digital soil mapping (DSM) model (gradient boosting regression) was calibrated on all 2401 soil samples to create a soil Cd concentration map using a number of covariates, of which airborne gamma ray data was identified as the most important. In the first step, cross-validation of the PXRF model obtained a model efficiency (E) of 0.82 and mean absolute error (MAE) of 0.08 mg kg−1. The DSM model had an E of 0.69 and MAE of 0.11 mg kg−1. The map of predicted soil Cd concentrations were compared against 307 winter wheat (Triticum aestivum L.) grain samples with laboratory-analyzed Cd concentrations. Areas in the map with low soil Cd concentrations had a high frequency of lower grain Cd concentrations. The map thus seemed to have potential for finding areas suitable for production of low-Cd winter wheat; e.g., for baby food.</description><identifier>ISSN: 2073-4395</identifier><identifier>EISSN: 2073-4395</identifier><identifier>DOI: 10.3390/agronomy13020317</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agricultural land ; Agricultural Science ; Agriculture ; Arable land ; Baby foods ; Cadmium ; Calibration ; Cereals ; Clay ; Crop production ; Datasets ; Digital mapping ; digital soil mapping ; Fluorescence ; Food ; Fysisk geografi ; Gamma rays ; Grain ; Health risks ; Jordbruksvetenskap ; Laboratories ; Low concentrations ; Machine learning ; Mapping ; Markvetenskap ; Physical Geography ; PXRF ; Regression models ; Soil mapping ; Soil maps ; Soil Science ; Soils ; Triticum aestivum ; Wheat ; Winter wheat</subject><ispartof>Agronomy (Basel), 2023, Vol.13 (2), p.317</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3</citedby><cites>FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3</cites><orcidid>0000-0002-8428-8851 ; 0000-0001-9946-0979</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2779504631/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2779504631?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,4024,25753,27923,27924,27925,37012,44590,75126</link.rule.ids><backlink>$$Uhttps://res.slu.se/id/publ/121608$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Adler, Karl</creatorcontrib><creatorcontrib>Persson, Kristin</creatorcontrib><creatorcontrib>Söderström, Mats</creatorcontrib><creatorcontrib>Eriksson, Jan</creatorcontrib><creatorcontrib>Pettersson, Carl-Göran</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><title>Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium</title><title>Agronomy (Basel)</title><description>Intake of cadmium (Cd) via vegetable food poses a possible health risk. Cereals are one of the major sources of Cd, and the Cd concentration in the soil has a great effect on the levels in the grain. The aim of the study was to produce decision support for identification of areas suitable for low-Cd winter wheat production in the form of a detailed digital soil map covering an important agricultural region in southern Sweden. A two-step approach was used: (1) we increased the number of soil Cd observations by combining two sets of soil samples, one with laboratory Cd analyses (304 samples) and one with predicted Cd from a portable x-ray fluorescent (PXRF) sensor (2097 samples); and (2) a digital soil mapping (DSM) model (gradient boosting regression) was calibrated on all 2401 soil samples to create a soil Cd concentration map using a number of covariates, of which airborne gamma ray data was identified as the most important. In the first step, cross-validation of the PXRF model obtained a model efficiency (E) of 0.82 and mean absolute error (MAE) of 0.08 mg kg−1. The DSM model had an E of 0.69 and MAE of 0.11 mg kg−1. The map of predicted soil Cd concentrations were compared against 307 winter wheat (Triticum aestivum L.) grain samples with laboratory-analyzed Cd concentrations. Areas in the map with low soil Cd concentrations had a high frequency of lower grain Cd concentrations. The map thus seemed to have potential for finding areas suitable for production of low-Cd winter wheat; e.g., for baby food.</description><subject>Agricultural land</subject><subject>Agricultural Science</subject><subject>Agriculture</subject><subject>Arable land</subject><subject>Baby foods</subject><subject>Cadmium</subject><subject>Calibration</subject><subject>Cereals</subject><subject>Clay</subject><subject>Crop production</subject><subject>Datasets</subject><subject>Digital mapping</subject><subject>digital soil mapping</subject><subject>Fluorescence</subject><subject>Food</subject><subject>Fysisk geografi</subject><subject>Gamma rays</subject><subject>Grain</subject><subject>Health risks</subject><subject>Jordbruksvetenskap</subject><subject>Laboratories</subject><subject>Low concentrations</subject><subject>Machine learning</subject><subject>Mapping</subject><subject>Markvetenskap</subject><subject>Physical Geography</subject><subject>PXRF</subject><subject>Regression models</subject><subject>Soil mapping</subject><subject>Soil maps</subject><subject>Soil Science</subject><subject>Soils</subject><subject>Triticum aestivum</subject><subject>Wheat</subject><subject>Winter wheat</subject><issn>2073-4395</issn><issn>2073-4395</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpdkk2P0zAQhiMEEqtl7xwtce4y_oidcKsKLJWKQFqkPVoTx866SuxiJ1T997gUwYLnMKPXfh_NWFNVryncct7CWxxSDHE6UQ4MOFXPqisGiq8Eb-vnT-qX1U3OeyinpbwBdVX9eO8HP-NI7qMfyWc8HHwYSHRkg_3kl-kd2fY2zN6dzvo6YTdassPQExcT-Zpiv5jzzYMPs03k4dHiTI5-fiS7eCSbGExxJ5x9DPkJ9lX1wuGY7c3vfF3df_zwbfNptftyt92sdysjajWvlBRWcc6UcawBboC6vjHS1oxxcA0KcKwD2QuUjcSGu1rW5blhTHTC8Otqe6H2Eff6kPyE6aQjev1LiGnQmGZvRquRMqZcY1ouQHDADiytjWo4s8Y51xfW7YWVj_awdP_Q8rh0mM5JZ6spoxKaYnhzMRxS_L7YPOt9XFIo02qmVFuDkJz-xQ5YuvDBxfJbpkRvJ29isM4Xfa0Ea1suQRYDXAwmxZyTdX86oaDPy6D_Xwb-E8p8qOU</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Adler, Karl</creator><creator>Persson, Kristin</creator><creator>Söderström, Mats</creator><creator>Eriksson, Jan</creator><creator>Pettersson, Carl-Göran</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7TM</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>SOI</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-8428-8851</orcidid><orcidid>https://orcid.org/0000-0001-9946-0979</orcidid></search><sort><creationdate>2023</creationdate><title>Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium</title><author>Adler, Karl ; Persson, Kristin ; Söderström, Mats ; Eriksson, Jan ; Pettersson, Carl-Göran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Agricultural land</topic><topic>Agricultural Science</topic><topic>Agriculture</topic><topic>Arable land</topic><topic>Baby foods</topic><topic>Cadmium</topic><topic>Calibration</topic><topic>Cereals</topic><topic>Clay</topic><topic>Crop production</topic><topic>Datasets</topic><topic>Digital mapping</topic><topic>digital soil mapping</topic><topic>Fluorescence</topic><topic>Food</topic><topic>Fysisk geografi</topic><topic>Gamma rays</topic><topic>Grain</topic><topic>Health risks</topic><topic>Jordbruksvetenskap</topic><topic>Laboratories</topic><topic>Low concentrations</topic><topic>Machine learning</topic><topic>Mapping</topic><topic>Markvetenskap</topic><topic>Physical Geography</topic><topic>PXRF</topic><topic>Regression models</topic><topic>Soil mapping</topic><topic>Soil maps</topic><topic>Soil Science</topic><topic>Soils</topic><topic>Triticum aestivum</topic><topic>Wheat</topic><topic>Winter wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Adler, Karl</creatorcontrib><creatorcontrib>Persson, Kristin</creatorcontrib><creatorcontrib>Söderström, Mats</creatorcontrib><creatorcontrib>Eriksson, Jan</creatorcontrib><creatorcontrib>Pettersson, Carl-Göran</creatorcontrib><creatorcontrib>Sveriges lantbruksuniversitet</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Environment Abstracts</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Agronomy (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Adler, Karl</au><au>Persson, Kristin</au><au>Söderström, Mats</au><au>Eriksson, Jan</au><au>Pettersson, Carl-Göran</au><aucorp>Sveriges lantbruksuniversitet</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium</atitle><jtitle>Agronomy (Basel)</jtitle><date>2023</date><risdate>2023</risdate><volume>13</volume><issue>2</issue><spage>317</spage><pages>317-</pages><issn>2073-4395</issn><eissn>2073-4395</eissn><abstract>Intake of cadmium (Cd) via vegetable food poses a possible health risk. Cereals are one of the major sources of Cd, and the Cd concentration in the soil has a great effect on the levels in the grain. The aim of the study was to produce decision support for identification of areas suitable for low-Cd winter wheat production in the form of a detailed digital soil map covering an important agricultural region in southern Sweden. A two-step approach was used: (1) we increased the number of soil Cd observations by combining two sets of soil samples, one with laboratory Cd analyses (304 samples) and one with predicted Cd from a portable x-ray fluorescent (PXRF) sensor (2097 samples); and (2) a digital soil mapping (DSM) model (gradient boosting regression) was calibrated on all 2401 soil samples to create a soil Cd concentration map using a number of covariates, of which airborne gamma ray data was identified as the most important. In the first step, cross-validation of the PXRF model obtained a model efficiency (E) of 0.82 and mean absolute error (MAE) of 0.08 mg kg−1. The DSM model had an E of 0.69 and MAE of 0.11 mg kg−1. The map of predicted soil Cd concentrations were compared against 307 winter wheat (Triticum aestivum L.) grain samples with laboratory-analyzed Cd concentrations. Areas in the map with low soil Cd concentrations had a high frequency of lower grain Cd concentrations. The map thus seemed to have potential for finding areas suitable for production of low-Cd winter wheat; e.g., for baby food.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/agronomy13020317</doi><orcidid>https://orcid.org/0000-0002-8428-8851</orcidid><orcidid>https://orcid.org/0000-0001-9946-0979</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2073-4395
ispartof Agronomy (Basel), 2023, Vol.13 (2), p.317
issn 2073-4395
2073-4395
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_a1227f8c9340430ab0e15c7832ecfffd
source Publicly Available Content Database (Proquest) (PQ_SDU_P3)
subjects Agricultural land
Agricultural Science
Agriculture
Arable land
Baby foods
Cadmium
Calibration
Cereals
Clay
Crop production
Datasets
Digital mapping
digital soil mapping
Fluorescence
Food
Fysisk geografi
Gamma rays
Grain
Health risks
Jordbruksvetenskap
Laboratories
Low concentrations
Machine learning
Mapping
Markvetenskap
Physical Geography
PXRF
Regression models
Soil mapping
Soil maps
Soil Science
Soils
Triticum aestivum
Wheat
Winter wheat
title Digital Soil Mapping of Cadmium: Identifying Arable Land for Producing Winter Wheat with Low Concentrations of Cadmium
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T20%3A05%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Digital%20Soil%20Mapping%20of%20Cadmium:%20Identifying%20Arable%20Land%20for%20Producing%20Winter%20Wheat%20with%20Low%20Concentrations%20of%20Cadmium&rft.jtitle=Agronomy%20(Basel)&rft.au=Adler,%20Karl&rft.aucorp=Sveriges%20lantbruksuniversitet&rft.date=2023&rft.volume=13&rft.issue=2&rft.spage=317&rft.pages=317-&rft.issn=2073-4395&rft.eissn=2073-4395&rft_id=info:doi/10.3390/agronomy13020317&rft_dat=%3Cgale_doaj_%3EA742993606%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c457t-764e73327cf2803c01fd8c6e52230f8a40f2b06d4a686a83f565332c224b4c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2779504631&rft_id=info:pmid/&rft_galeid=A742993606&rfr_iscdi=true