Loading…
Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production
To evaluate the relative toxicity and the occurrence patterns of pesticide mixtures in streams draining agricultural watersheds, a 3-step approach was used. First, a landscape of interest was identified, defined, and isolated. Second, the relative toxicity of mixtures, on the basis of pesticide toxi...
Saved in:
Published in: | Integrated environmental assessment and management 2007-01, Vol.3 (1), p.90-100 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 100 |
container_issue | 1 |
container_start_page | 90 |
container_title | Integrated environmental assessment and management |
container_volume | 3 |
creator | Belden, Jason B Gilliom, Robert J Martin, Jeffrey D Lydy, Michael J |
description | To evaluate the relative toxicity and the occurrence patterns of pesticide mixtures in streams draining agricultural watersheds, a 3-step approach was used. First, a landscape of interest was identified, defined, and isolated. Second, the relative toxicity of mixtures, on the basis of pesticide toxicity index scores, was compared with the relative toxicity of the highest individual pesticide, on the basis of highest toxicity quotient values. Third, occurrence patterns of pesticide mixtures were identified for use in follow-up mechanistic studies. The landscape of interest was identified as the corn and soybeans crop setting and concentrations of pesticides in streams within this crop setting were determined from US Geological Survey data. Pesticide toxicity index scores for individual samples were highest for the primary producers, Pseudokirchneriella subcapitata and Lemna gibba; with 95th percentile pesticide toxicity index scores of 4.7 and 1.9, respectively. The 95th percentile pesticide toxicity index score for Daphnia magna was 0.40 when a chronic sublethal endpoint was used. Pesticide toxicity index values were above the highest toxicity quotient values, indicating that consideration of mixtures does increase the estimated risk, but pesticide toxicity index scores were generally within a factor of 2 of highest toxicity quotient values, indicating that the increased risk is not large for most samples. Pesticide toxicity index scores tended to be dominated by individual pesticides and simple mixtures. Two different prioritization strategies were used to identify important mixtures for further study on the basis of potential effects on P. subcapitata. Both techniques decreased the complexity of the pesticide mixtures to consider by reducing the number of components within the identified mixtures as well as identifying a few specific combinations that constitute the majority of mixtures within the sample. Nearly all important pesticides for P. subcapitata were herbicides from 2 chemical classes: Acetanilide and triazine herbicides. |
doi_str_mv | 10.1897/1551-3793(2007)3[90:RTAOPO]2.0.CO;2 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_29920244</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>19543384</sourcerecordid><originalsourceid>FETCH-LOGICAL-b333t-4f02a6cce974c8bf4aa861520b6a0cb0cb4fbc712e6c313fac0e8a86e6e281dc3</originalsourceid><addsrcrecordid>eNqF0t1qFDEUB_BBFFurryDBC1Fk15NkPhK9WsZPqMzSrnghEjKZMzVlJqnJjHTfwwc269YK3iwETgK_nJDkn2UvKCypkNVLWhR0wSvJnzGA6jn_KuHV2WbVrJtvbAnLunnN7mTHt-ru7byqjrIHMV4C5Jxxdj87ohUTvJDiOPt1hoOe7E8kG39tjZ22RLuONMbMIaAzSNZ6mjC4SHxP1hinhDokn-z1NAeMxDpyPgXUYyRvgrbOuguyugjWzEMCeiBfdNoev2OXgB-tS8uOtFtS--D-nHXuty1qR9bBd7OZrHcPs3u9HiI-uqkn2ed3bzf1h8Vp8_5jvTpdtJzzaZH3wHRpDMoqN6Ltc61FSQsGbanBtGnkfWsqyrA0nPJeG0CRCJbIBO0MP8me7vteBf9jTndTo40Gh0E79HNUTEoGLM8PQ-BCioofhFQWOeficEeaCyiKkiX45D946efg0rMoRqGCUhSQ0OMbNLcjduoq2FGHrfr7zwms9qC13jv8B0DtsqV2SVG71KhdthRXEtQ-W4opUHUq_Dd7ssTb</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>210706850</pqid></control><display><type>article</type><title>Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Belden, Jason B ; Gilliom, Robert J ; Martin, Jeffrey D ; Lydy, Michael J</creator><creatorcontrib>Belden, Jason B ; Gilliom, Robert J ; Martin, Jeffrey D ; Lydy, Michael J</creatorcontrib><description>To evaluate the relative toxicity and the occurrence patterns of pesticide mixtures in streams draining agricultural watersheds, a 3-step approach was used. First, a landscape of interest was identified, defined, and isolated. Second, the relative toxicity of mixtures, on the basis of pesticide toxicity index scores, was compared with the relative toxicity of the highest individual pesticide, on the basis of highest toxicity quotient values. Third, occurrence patterns of pesticide mixtures were identified for use in follow-up mechanistic studies. The landscape of interest was identified as the corn and soybeans crop setting and concentrations of pesticides in streams within this crop setting were determined from US Geological Survey data. Pesticide toxicity index scores for individual samples were highest for the primary producers, Pseudokirchneriella subcapitata and Lemna gibba; with 95th percentile pesticide toxicity index scores of 4.7 and 1.9, respectively. The 95th percentile pesticide toxicity index score for Daphnia magna was 0.40 when a chronic sublethal endpoint was used. Pesticide toxicity index values were above the highest toxicity quotient values, indicating that consideration of mixtures does increase the estimated risk, but pesticide toxicity index scores were generally within a factor of 2 of highest toxicity quotient values, indicating that the increased risk is not large for most samples. Pesticide toxicity index scores tended to be dominated by individual pesticides and simple mixtures. Two different prioritization strategies were used to identify important mixtures for further study on the basis of potential effects on P. subcapitata. Both techniques decreased the complexity of the pesticide mixtures to consider by reducing the number of components within the identified mixtures as well as identifying a few specific combinations that constitute the majority of mixtures within the sample. Nearly all important pesticides for P. subcapitata were herbicides from 2 chemical classes: Acetanilide and triazine herbicides.</description><identifier>ISSN: 1551-3777</identifier><identifier>EISSN: 1551-3793</identifier><identifier>DOI: 10.1897/1551-3793(2007)3[90:RTAOPO]2.0.CO;2</identifier><identifier>PMID: 17283598</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Agricultural watersheds ; Agriculture ; Agrochemicals ; Animals ; Cereal crops ; Chemicals ; Corn ; Crop production ; Daphnia - drug effects ; Daphnia magna ; Ecosystem ; Geological surveys ; Glycine max ; Hazard quotients ; Herbicides ; Land use ; Lemna gibba ; Mixtures ; Original Research ; Perciformes ; Pesticide toxicity ; Pesticide toxicity index ; Pesticides ; Pesticides - analysis ; Pesticides - toxicity ; Pseudokirchneriella subcapitata ; Risk assessment ; Rivers - chemistry ; Soybean ; Soybeans ; Studies ; Time Factors ; Toxicity ; Toxicity Tests ; Water Pollutants, Chemical - analysis ; Water Pollutants, Chemical - toxicity ; Water Pollution, Chemical - prevention & control ; Watersheds ; Zea mays</subject><ispartof>Integrated environmental assessment and management, 2007-01, Vol.3 (1), p.90-100</ispartof><rights>Society of Environmental Toxicology and Chemistry</rights><rights>Copyright Alliance Communications Group, A Division of Allen Press, Inc. Jan 2007</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17283598$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Belden, Jason B</creatorcontrib><creatorcontrib>Gilliom, Robert J</creatorcontrib><creatorcontrib>Martin, Jeffrey D</creatorcontrib><creatorcontrib>Lydy, Michael J</creatorcontrib><title>Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production</title><title>Integrated environmental assessment and management</title><addtitle>Integr Environ Assess Manag</addtitle><description>To evaluate the relative toxicity and the occurrence patterns of pesticide mixtures in streams draining agricultural watersheds, a 3-step approach was used. First, a landscape of interest was identified, defined, and isolated. Second, the relative toxicity of mixtures, on the basis of pesticide toxicity index scores, was compared with the relative toxicity of the highest individual pesticide, on the basis of highest toxicity quotient values. Third, occurrence patterns of pesticide mixtures were identified for use in follow-up mechanistic studies. The landscape of interest was identified as the corn and soybeans crop setting and concentrations of pesticides in streams within this crop setting were determined from US Geological Survey data. Pesticide toxicity index scores for individual samples were highest for the primary producers, Pseudokirchneriella subcapitata and Lemna gibba; with 95th percentile pesticide toxicity index scores of 4.7 and 1.9, respectively. The 95th percentile pesticide toxicity index score for Daphnia magna was 0.40 when a chronic sublethal endpoint was used. Pesticide toxicity index values were above the highest toxicity quotient values, indicating that consideration of mixtures does increase the estimated risk, but pesticide toxicity index scores were generally within a factor of 2 of highest toxicity quotient values, indicating that the increased risk is not large for most samples. Pesticide toxicity index scores tended to be dominated by individual pesticides and simple mixtures. Two different prioritization strategies were used to identify important mixtures for further study on the basis of potential effects on P. subcapitata. Both techniques decreased the complexity of the pesticide mixtures to consider by reducing the number of components within the identified mixtures as well as identifying a few specific combinations that constitute the majority of mixtures within the sample. Nearly all important pesticides for P. subcapitata were herbicides from 2 chemical classes: Acetanilide and triazine herbicides.</description><subject>Agricultural watersheds</subject><subject>Agriculture</subject><subject>Agrochemicals</subject><subject>Animals</subject><subject>Cereal crops</subject><subject>Chemicals</subject><subject>Corn</subject><subject>Crop production</subject><subject>Daphnia - drug effects</subject><subject>Daphnia magna</subject><subject>Ecosystem</subject><subject>Geological surveys</subject><subject>Glycine max</subject><subject>Hazard quotients</subject><subject>Herbicides</subject><subject>Land use</subject><subject>Lemna gibba</subject><subject>Mixtures</subject><subject>Original Research</subject><subject>Perciformes</subject><subject>Pesticide toxicity</subject><subject>Pesticide toxicity index</subject><subject>Pesticides</subject><subject>Pesticides - analysis</subject><subject>Pesticides - toxicity</subject><subject>Pseudokirchneriella subcapitata</subject><subject>Risk assessment</subject><subject>Rivers - chemistry</subject><subject>Soybean</subject><subject>Soybeans</subject><subject>Studies</subject><subject>Time Factors</subject><subject>Toxicity</subject><subject>Toxicity Tests</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water Pollutants, Chemical - toxicity</subject><subject>Water Pollution, Chemical - prevention & control</subject><subject>Watersheds</subject><subject>Zea mays</subject><issn>1551-3777</issn><issn>1551-3793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqF0t1qFDEUB_BBFFurryDBC1Fk15NkPhK9WsZPqMzSrnghEjKZMzVlJqnJjHTfwwc269YK3iwETgK_nJDkn2UvKCypkNVLWhR0wSvJnzGA6jn_KuHV2WbVrJtvbAnLunnN7mTHt-ru7byqjrIHMV4C5Jxxdj87ohUTvJDiOPt1hoOe7E8kG39tjZ22RLuONMbMIaAzSNZ6mjC4SHxP1hinhDokn-z1NAeMxDpyPgXUYyRvgrbOuguyugjWzEMCeiBfdNoev2OXgB-tS8uOtFtS--D-nHXuty1qR9bBd7OZrHcPs3u9HiI-uqkn2ed3bzf1h8Vp8_5jvTpdtJzzaZH3wHRpDMoqN6Ltc61FSQsGbanBtGnkfWsqyrA0nPJeG0CRCJbIBO0MP8me7vteBf9jTndTo40Gh0E79HNUTEoGLM8PQ-BCioofhFQWOeficEeaCyiKkiX45D946efg0rMoRqGCUhSQ0OMbNLcjduoq2FGHrfr7zwms9qC13jv8B0DtsqV2SVG71KhdthRXEtQ-W4opUHUq_Dd7ssTb</recordid><startdate>200701</startdate><enddate>200701</enddate><creator>Belden, Jason B</creator><creator>Gilliom, Robert J</creator><creator>Martin, Jeffrey D</creator><creator>Lydy, Michael J</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7QH</scope><scope>7SN</scope><scope>7ST</scope><scope>7U7</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7TV</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>200701</creationdate><title>Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production</title><author>Belden, Jason B ; Gilliom, Robert J ; Martin, Jeffrey D ; Lydy, Michael J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b333t-4f02a6cce974c8bf4aa861520b6a0cb0cb4fbc712e6c313fac0e8a86e6e281dc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Agricultural watersheds</topic><topic>Agriculture</topic><topic>Agrochemicals</topic><topic>Animals</topic><topic>Cereal crops</topic><topic>Chemicals</topic><topic>Corn</topic><topic>Crop production</topic><topic>Daphnia - drug effects</topic><topic>Daphnia magna</topic><topic>Ecosystem</topic><topic>Geological surveys</topic><topic>Glycine max</topic><topic>Hazard quotients</topic><topic>Herbicides</topic><topic>Land use</topic><topic>Lemna gibba</topic><topic>Mixtures</topic><topic>Original Research</topic><topic>Perciformes</topic><topic>Pesticide toxicity</topic><topic>Pesticide toxicity index</topic><topic>Pesticides</topic><topic>Pesticides - analysis</topic><topic>Pesticides - toxicity</topic><topic>Pseudokirchneriella subcapitata</topic><topic>Risk assessment</topic><topic>Rivers - chemistry</topic><topic>Soybean</topic><topic>Soybeans</topic><topic>Studies</topic><topic>Time Factors</topic><topic>Toxicity</topic><topic>Toxicity Tests</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water Pollutants, Chemical - toxicity</topic><topic>Water Pollution, Chemical - prevention & control</topic><topic>Watersheds</topic><topic>Zea mays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Belden, Jason B</creatorcontrib><creatorcontrib>Gilliom, Robert J</creatorcontrib><creatorcontrib>Martin, Jeffrey D</creatorcontrib><creatorcontrib>Lydy, Michael J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</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>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Integrated environmental assessment and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Belden, Jason B</au><au>Gilliom, Robert J</au><au>Martin, Jeffrey D</au><au>Lydy, Michael J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production</atitle><jtitle>Integrated environmental assessment and management</jtitle><addtitle>Integr Environ Assess Manag</addtitle><date>2007-01</date><risdate>2007</risdate><volume>3</volume><issue>1</issue><spage>90</spage><epage>100</epage><pages>90-100</pages><issn>1551-3777</issn><eissn>1551-3793</eissn><abstract>To evaluate the relative toxicity and the occurrence patterns of pesticide mixtures in streams draining agricultural watersheds, a 3-step approach was used. First, a landscape of interest was identified, defined, and isolated. Second, the relative toxicity of mixtures, on the basis of pesticide toxicity index scores, was compared with the relative toxicity of the highest individual pesticide, on the basis of highest toxicity quotient values. Third, occurrence patterns of pesticide mixtures were identified for use in follow-up mechanistic studies. The landscape of interest was identified as the corn and soybeans crop setting and concentrations of pesticides in streams within this crop setting were determined from US Geological Survey data. Pesticide toxicity index scores for individual samples were highest for the primary producers, Pseudokirchneriella subcapitata and Lemna gibba; with 95th percentile pesticide toxicity index scores of 4.7 and 1.9, respectively. The 95th percentile pesticide toxicity index score for Daphnia magna was 0.40 when a chronic sublethal endpoint was used. Pesticide toxicity index values were above the highest toxicity quotient values, indicating that consideration of mixtures does increase the estimated risk, but pesticide toxicity index scores were generally within a factor of 2 of highest toxicity quotient values, indicating that the increased risk is not large for most samples. Pesticide toxicity index scores tended to be dominated by individual pesticides and simple mixtures. Two different prioritization strategies were used to identify important mixtures for further study on the basis of potential effects on P. subcapitata. Both techniques decreased the complexity of the pesticide mixtures to consider by reducing the number of components within the identified mixtures as well as identifying a few specific combinations that constitute the majority of mixtures within the sample. Nearly all important pesticides for P. subcapitata were herbicides from 2 chemical classes: Acetanilide and triazine herbicides.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>17283598</pmid><doi>10.1897/1551-3793(2007)3[90:RTAOPO]2.0.CO;2</doi><tpages>11</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1551-3777 |
ispartof | Integrated environmental assessment and management, 2007-01, Vol.3 (1), p.90-100 |
issn | 1551-3777 1551-3793 |
language | eng |
recordid | cdi_proquest_miscellaneous_29920244 |
source | Wiley-Blackwell Read & Publish Collection |
subjects | Agricultural watersheds Agriculture Agrochemicals Animals Cereal crops Chemicals Corn Crop production Daphnia - drug effects Daphnia magna Ecosystem Geological surveys Glycine max Hazard quotients Herbicides Land use Lemna gibba Mixtures Original Research Perciformes Pesticide toxicity Pesticide toxicity index Pesticides Pesticides - analysis Pesticides - toxicity Pseudokirchneriella subcapitata Risk assessment Rivers - chemistry Soybean Soybeans Studies Time Factors Toxicity Toxicity Tests Water Pollutants, Chemical - analysis Water Pollutants, Chemical - toxicity Water Pollution, Chemical - prevention & control Watersheds Zea mays |
title | Relative Toxicity and Occurrence Patterns of Pesticide Mixtures in Streams Draining Agricultural Watersheds Dominated by Corn and Soybean Production |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T14%3A49%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Relative%20Toxicity%20and%20Occurrence%20Patterns%20of%20Pesticide%20Mixtures%20in%20Streams%20Draining%20Agricultural%20Watersheds%20Dominated%20by%20Corn%20and%20Soybean%20Production&rft.jtitle=Integrated%20environmental%20assessment%20and%20management&rft.au=Belden,%20Jason%20B&rft.date=2007-01&rft.volume=3&rft.issue=1&rft.spage=90&rft.epage=100&rft.pages=90-100&rft.issn=1551-3777&rft.eissn=1551-3793&rft_id=info:doi/10.1897/1551-3793(2007)3%5B90:RTAOPO%5D2.0.CO;2&rft_dat=%3Cproquest_pubme%3E19543384%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b333t-4f02a6cce974c8bf4aa861520b6a0cb0cb4fbc712e6c313fac0e8a86e6e281dc3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=210706850&rft_id=info:pmid/17283598&rfr_iscdi=true |