Predicting As, Cd and Pb uptake by rice and vegetables using field data from China
Plant uptake factor (PUF), single-variable regression of natural log-transformed concentrations in rice grain/vegetables versus natural log-transformed concentrations in soil and multiple-variable regression with soil concentrations and pH, was derived, validated and compared based on the paired cro...
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| Veröffentlicht in: | Journal of environmental sciences (China) 2011, Vol.23 (1), p.70-78 |
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| creator | Zhang, Hongzhen Luo, Yongming Song, Jing Zhang, Haibo Xia, Jiaqi Zhao, Qiguo |
| description | Plant uptake factor (PUF), single-variable regression of natural log-transformed concentrations in rice grain/vegetables versus natural log-transformed concentrations in soil and multiple-variable regression with soil concentrations and pH, was derived, validated and compared based on the paired crop and soil data collected from studies regarding As, Cd and Pb contaminated croplands in China. Results showed that the median value of PUF did not present deterministic prediction. But after natural logarithm transformation, the PUF followed Gaussian distribution which could be useful in risk assessment. The single-variable regression models were significant for As, Cd and Pb uptake both by rice and vegetables; however, the standard errors of all the regressions were comparatively large. Soil pH as a variable was generally significant but it only contributed positively to model fit for Cd uptake. After model comparison and selection, the upper 95% prediction limits of the multiple regression model for Cd uptake by rice was recommended to calculate screening value of Cd for paddy soil based on the limit for Cd concentration in rice grain. |
| doi_str_mv | 10.1016/S1001-0742(10)60375-0 |
| format | Article |
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Results showed that the median value of PUF did not present deterministic prediction. But after natural logarithm transformation, the PUF followed Gaussian distribution which could be useful in risk assessment. The single-variable regression models were significant for As, Cd and Pb uptake both by rice and vegetables; however, the standard errors of all the regressions were comparatively large. Soil pH as a variable was generally significant but it only contributed positively to model fit for Cd uptake. After model comparison and selection, the upper 95% prediction limits of the multiple regression model for Cd uptake by rice was recommended to calculate screening value of Cd for paddy soil based on the limit for Cd concentration in rice grain.</description><identifier>ISSN: 1001-0742</identifier><identifier>EISSN: 1878-7320</identifier><identifier>DOI: 10.1016/S1001-0742(10)60375-0</identifier><identifier>PMID: 21476343</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Agriculture ; arsenic ; Arsenic - metabolism ; bioaccumulation ; cadmium ; Cadmium - metabolism ; China ; cropland ; croplands ; Crops, Agricultural - metabolism ; Environmental Monitoring ; lead ; Lead - metabolism ; normal distribution ; Oryza - metabolism ; Oryza sativa ; paddy soils ; plant uptake factor ; prediction ; Regression Analysis ; regression model ; Reproducibility of Results ; rice ; risk assessment ; screening ; Seeds - metabolism ; Soil - analysis ; soil pH ; trace elements ; vegetable ; vegetables ; Vegetables - metabolism ; 中国 ; 吸收利用 ; 土壤pH值 ; 水稻土 ; 测砷 ; 聚氨酯泡沫 ; 蔬菜 ; 铅污染</subject><ispartof>Journal of environmental sciences (China), 2011, Vol.23 (1), p.70-78</ispartof><rights>2011 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences</rights><rights>Copyright © Wanfang Data Co. 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All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c530t-2306016a319c3d354db78c23c13a50c6fcf2a43901c1d97656b9eadfb2054af83</citedby><cites>FETCH-LOGICAL-c530t-2306016a319c3d354db78c23c13a50c6fcf2a43901c1d97656b9eadfb2054af83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85265X/85265X.jpg</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1001074210603750$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21476343$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Hongzhen</creatorcontrib><creatorcontrib>Luo, Yongming</creatorcontrib><creatorcontrib>Song, Jing</creatorcontrib><creatorcontrib>Zhang, Haibo</creatorcontrib><creatorcontrib>Xia, Jiaqi</creatorcontrib><creatorcontrib>Zhao, Qiguo</creatorcontrib><title>Predicting As, Cd and Pb uptake by rice and vegetables using field data from China</title><title>Journal of environmental sciences (China)</title><addtitle>Journal of Environmental Sciences</addtitle><description>Plant uptake factor (PUF), single-variable regression of natural log-transformed concentrations in rice grain/vegetables versus natural log-transformed concentrations in soil and multiple-variable regression with soil concentrations and pH, was derived, validated and compared based on the paired crop and soil data collected from studies regarding As, Cd and Pb contaminated croplands in China. Results showed that the median value of PUF did not present deterministic prediction. But after natural logarithm transformation, the PUF followed Gaussian distribution which could be useful in risk assessment. The single-variable regression models were significant for As, Cd and Pb uptake both by rice and vegetables; however, the standard errors of all the regressions were comparatively large. Soil pH as a variable was generally significant but it only contributed positively to model fit for Cd uptake. After model comparison and selection, the upper 95% prediction limits of the multiple regression model for Cd uptake by rice was recommended to calculate screening value of Cd for paddy soil based on the limit for Cd concentration in rice grain.</description><subject>Agriculture</subject><subject>arsenic</subject><subject>Arsenic - metabolism</subject><subject>bioaccumulation</subject><subject>cadmium</subject><subject>Cadmium - metabolism</subject><subject>China</subject><subject>cropland</subject><subject>croplands</subject><subject>Crops, Agricultural - metabolism</subject><subject>Environmental Monitoring</subject><subject>lead</subject><subject>Lead - metabolism</subject><subject>normal distribution</subject><subject>Oryza - metabolism</subject><subject>Oryza sativa</subject><subject>paddy soils</subject><subject>plant uptake factor</subject><subject>prediction</subject><subject>Regression Analysis</subject><subject>regression model</subject><subject>Reproducibility of Results</subject><subject>rice</subject><subject>risk assessment</subject><subject>screening</subject><subject>Seeds - metabolism</subject><subject>Soil - analysis</subject><subject>soil pH</subject><subject>trace elements</subject><subject>vegetable</subject><subject>vegetables</subject><subject>Vegetables - metabolism</subject><subject>中国</subject><subject>吸收利用</subject><subject>土壤pH值</subject><subject>水稻土</subject><subject>测砷</subject><subject>聚氨酯泡沫</subject><subject>蔬菜</subject><subject>铅污染</subject><issn>1001-0742</issn><issn>1878-7320</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkVtv1DAQhSMEoqXwEwCLBy4SgbEd28kTqlbcpEpUlD5bjj3eeptNtnZS1H-Ps9nyCvKDrdE3njPnFMVzCh8oUPnxggLQElTF3lJ4J4ErUcKD4pjWqi4VZ_Awv--Ro-JJShsAqASIx8URo5WSvOLHxc_ziC7YMfRrcprek5UjpnfkvCXTbjTXSNo7EoPFffUW1ziatsNEpjR3-ICdI86Mhvg4bMnqKvTmafHImy7hs8N9Ulx--fxr9a08-_H1--r0rLSCw1gyDjIvYjhtLHdcVK5VtWXcUm4EWOmtZ6biDVBLXaOkkG2DxvmWgaiMr_lJ8Xr597fpvenXejNMsc8T9QaTRgY0G5VPBt8s4C4ONxOmUW9Dsth1psdhSrqWTNW05vV_kFQ0lFcqk2IhbRxSiuj1LoatiXeagp4D0vuA9Oz-XNoHpGctLw4TpnaL7m_XfSIZeLkA3gzarGNI-vIi7yIAGFVNIzPxaSEwm3sbMOpkA_Y25xjRjtoN4Z8iXh3EXw39-iYnqVtjr33oUHMpgEnR8D9in7Cc</recordid><startdate>2011</startdate><enddate>2011</enddate><creator>Zhang, Hongzhen</creator><creator>Luo, Yongming</creator><creator>Song, Jing</creator><creator>Zhang, Haibo</creator><creator>Xia, Jiaqi</creator><creator>Zhao, Qiguo</creator><general>Elsevier B.V</general><general>Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China</general><general>Chinese Academy for Environmental Planning of Ministry of Environmental Protection, Beijing 100012, China%Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China%Nanjing Institute of Environmental Science, Ministry of Environmental Protection, Nanjing 210042, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W94</scope><scope>~WA</scope><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7ST</scope><scope>7TV</scope><scope>7U1</scope><scope>7U2</scope><scope>C1K</scope><scope>SOI</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2011</creationdate><title>Predicting As, Cd and Pb uptake by rice and vegetables using field data from China</title><author>Zhang, Hongzhen ; 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Results showed that the median value of PUF did not present deterministic prediction. But after natural logarithm transformation, the PUF followed Gaussian distribution which could be useful in risk assessment. The single-variable regression models were significant for As, Cd and Pb uptake both by rice and vegetables; however, the standard errors of all the regressions were comparatively large. Soil pH as a variable was generally significant but it only contributed positively to model fit for Cd uptake. After model comparison and selection, the upper 95% prediction limits of the multiple regression model for Cd uptake by rice was recommended to calculate screening value of Cd for paddy soil based on the limit for Cd concentration in rice grain.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>21476343</pmid><doi>10.1016/S1001-0742(10)60375-0</doi><tpages>9</tpages></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete; Alma/SFX Local Collection |
| subjects | Agriculture arsenic Arsenic - metabolism bioaccumulation cadmium Cadmium - metabolism China cropland croplands Crops, Agricultural - metabolism Environmental Monitoring lead Lead - metabolism normal distribution Oryza - metabolism Oryza sativa paddy soils plant uptake factor prediction Regression Analysis regression model Reproducibility of Results rice risk assessment screening Seeds - metabolism Soil - analysis soil pH trace elements vegetable vegetables Vegetables - metabolism 中国 吸收利用 土壤pH值 水稻土 测砷 聚氨酯泡沫 蔬菜 铅污染 |
| title | Predicting As, Cd and Pb uptake by rice and vegetables using field data from China |
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