Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States
Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework wi...
Gespeichert in:
| Veröffentlicht in: | Journal of economic entomology 2021-06, Vol.114 (3), p.1362-1372 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1372 |
|---|---|
| container_issue | 3 |
| container_start_page | 1362 |
| container_title | Journal of economic entomology |
| container_volume | 114 |
| creator | Aita, Rafael Carlesso Pezzini, Daniela T. Burkness, Eric C. DiFonzo, Christina D. Finke, Deborah L. Hunt, Thomas E. Knodel, Janet J. Krupke, Christian H. Marchi-Werle, Lia McCornack, Brian Michel, Andrew P. Philips, Christopher R. Seiter, Nicholas J. Varenhorst, Adam J. Wright, Robert J. Hutchison, William D. Koch, Robert L. |
| description | Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework with more efficient sampling effort for management of herbivorous stink bugs is needed. Therefore, a binomial sequential sampling plan was developed for herbivorous stink bugs in the Midwest region. A total of 146 soybean fields were sampled across 11 states using sweep nets in 2016, 2017, and 2018. The binomial sequential sampling plans were developed using combinations of five tally thresholds at two proportion infested action thresholds to identify those that provided the best sampling outcomes. Final assessment of the operating characteristic curves for each plan indicated that a tally threshold of 3 stink bugs per 25 sweeps, and proportion infested action thresholds of 0.75 and 0.95 corresponding to the action thresholds of 5 and 10 stink bugs per 25 sweeps, provided the optimal balance between highest probability of correct decisions (≥ 99%) and lowest probability of incorrect decisions (≤ 1%). In addition, the average sample size for both plans (18 and 12 sets of 25 sweeps, respectively) was lower than that for the other proposed plans. The binomial sequential sampling plan can reduce the number of sample units required to achieve a management decision, which is important because it can potentially reduce risk/cost of management for stink bugs in soybean in this region. |
| doi_str_mv | 10.1093/jee/toab076 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_2516844026</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A698308714</galeid><oup_id>10.1093/jee/toab076</oup_id><sourcerecordid>A698308714</sourcerecordid><originalsourceid>FETCH-LOGICAL-b421t-d2107a740eb6a48e89ddc9345010c55ecaf99b3db0d8792f7a21131857180ae53</originalsourceid><addsrcrecordid>eNqFkc9u1DAQxi0EotvCiTuyhIRaobT-l8TmtlRAkYpYUSpxi5x4snhJ7GA7qrjxDrwhT4JpFg4cQHPwaPSbT9_4Q-gRJaeUKH62AzhLXrekru6gFVVcFkzRj3fRihDGCiIUP0CHMe4IoRWj5D464FzKsi7VCs2bABFcBz--fV-3tx2-0uM0WLfFm0G7iHsf8FWy7jN-MW8jPr6A0U4Jgn6ON-CSTn60RsMJtg6nT4DfWnMDMeH3sLXeYd_fTq-dTWCykE4QH6B7vR4iPNy_R-j61csP5xfF5bvXb87Xl0UrGE2FyW5rXQsCbaWFBKmM6RQXJaGkK0vodK9Uy01LjKwV62vNKOU0n0Yl0VDyI3S86E7Bf5mzqWa0sYMh3wV-jg0raSWFIKzK6JO_0J2fg8vuMiVUJRinLFOnC7XVAzTW9T4F3eUy-VM676C3eb6ulORE1lTkhWfLQhd8jAH6Zgp21OFrQ0nzK74mx9fs48v0472JuR3B_GF_55WBpwvg5-k_SicL2Fqfbf2T_QkKWrFT</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2549642312</pqid></control><display><type>article</type><title>Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Alma/SFX Local Collection</source><creator>Aita, Rafael Carlesso ; Pezzini, Daniela T. ; Burkness, Eric C. ; DiFonzo, Christina D. ; Finke, Deborah L. ; Hunt, Thomas E. ; Knodel, Janet J. ; Krupke, Christian H. ; Marchi-Werle, Lia ; McCornack, Brian ; Michel, Andrew P. ; Philips, Christopher R. ; Seiter, Nicholas J. ; Varenhorst, Adam J. ; Wright, Robert J. ; Hutchison, William D. ; Koch, Robert L.</creator><creatorcontrib>Aita, Rafael Carlesso ; Pezzini, Daniela T. ; Burkness, Eric C. ; DiFonzo, Christina D. ; Finke, Deborah L. ; Hunt, Thomas E. ; Knodel, Janet J. ; Krupke, Christian H. ; Marchi-Werle, Lia ; McCornack, Brian ; Michel, Andrew P. ; Philips, Christopher R. ; Seiter, Nicholas J. ; Varenhorst, Adam J. ; Wright, Robert J. ; Hutchison, William D. ; Koch, Robert L.</creatorcontrib><description>Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework with more efficient sampling effort for management of herbivorous stink bugs is needed. Therefore, a binomial sequential sampling plan was developed for herbivorous stink bugs in the Midwest region. A total of 146 soybean fields were sampled across 11 states using sweep nets in 2016, 2017, and 2018. The binomial sequential sampling plans were developed using combinations of five tally thresholds at two proportion infested action thresholds to identify those that provided the best sampling outcomes. Final assessment of the operating characteristic curves for each plan indicated that a tally threshold of 3 stink bugs per 25 sweeps, and proportion infested action thresholds of 0.75 and 0.95 corresponding to the action thresholds of 5 and 10 stink bugs per 25 sweeps, provided the optimal balance between highest probability of correct decisions (≥ 99%) and lowest probability of incorrect decisions (≤ 1%). In addition, the average sample size for both plans (18 and 12 sets of 25 sweeps, respectively) was lower than that for the other proposed plans. The binomial sequential sampling plan can reduce the number of sample units required to achieve a management decision, which is important because it can potentially reduce risk/cost of management for stink bugs in soybean in this region.</description><identifier>ISSN: 0022-0493</identifier><identifier>EISSN: 1938-291X</identifier><identifier>DOI: 10.1093/jee/toab076</identifier><identifier>PMID: 33885759</identifier><language>eng</language><publisher>US: Entomological Society of America</publisher><subject>Agricultural pests ; Animals ; binomial sampling ; Book publishing ; Crop production ; Decision making ; Evaluation ; Glycine max ; Herbivory ; Heteroptera ; insect sampling ; International economic relations ; Management decisions ; Pentatomidae ; Population Density ; resampling software ; Risk reduction ; Sampling ; SAMPLING AND BIOSTATISTICS ; soybean ; Soybeans ; stink bug ; Stink bugs ; United States</subject><ispartof>Journal of economic entomology, 2021-06, Vol.114 (3), p.1362-1372</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. journals.permissions@oup.com</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2021</rights><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><rights>COPYRIGHT 2021 Oxford University Press</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b421t-d2107a740eb6a48e89ddc9345010c55ecaf99b3db0d8792f7a21131857180ae53</citedby><cites>FETCH-LOGICAL-b421t-d2107a740eb6a48e89ddc9345010c55ecaf99b3db0d8792f7a21131857180ae53</cites><orcidid>0000-0002-2953-9187 ; 0000-0003-0557-265X ; 0000-0002-9347-0196 ; 0000-0002-4853-3573</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33885759$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Aita, Rafael Carlesso</creatorcontrib><creatorcontrib>Pezzini, Daniela T.</creatorcontrib><creatorcontrib>Burkness, Eric C.</creatorcontrib><creatorcontrib>DiFonzo, Christina D.</creatorcontrib><creatorcontrib>Finke, Deborah L.</creatorcontrib><creatorcontrib>Hunt, Thomas E.</creatorcontrib><creatorcontrib>Knodel, Janet J.</creatorcontrib><creatorcontrib>Krupke, Christian H.</creatorcontrib><creatorcontrib>Marchi-Werle, Lia</creatorcontrib><creatorcontrib>McCornack, Brian</creatorcontrib><creatorcontrib>Michel, Andrew P.</creatorcontrib><creatorcontrib>Philips, Christopher R.</creatorcontrib><creatorcontrib>Seiter, Nicholas J.</creatorcontrib><creatorcontrib>Varenhorst, Adam J.</creatorcontrib><creatorcontrib>Wright, Robert J.</creatorcontrib><creatorcontrib>Hutchison, William D.</creatorcontrib><creatorcontrib>Koch, Robert L.</creatorcontrib><title>Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States</title><title>Journal of economic entomology</title><addtitle>J Econ Entomol</addtitle><description>Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework with more efficient sampling effort for management of herbivorous stink bugs is needed. Therefore, a binomial sequential sampling plan was developed for herbivorous stink bugs in the Midwest region. A total of 146 soybean fields were sampled across 11 states using sweep nets in 2016, 2017, and 2018. The binomial sequential sampling plans were developed using combinations of five tally thresholds at two proportion infested action thresholds to identify those that provided the best sampling outcomes. Final assessment of the operating characteristic curves for each plan indicated that a tally threshold of 3 stink bugs per 25 sweeps, and proportion infested action thresholds of 0.75 and 0.95 corresponding to the action thresholds of 5 and 10 stink bugs per 25 sweeps, provided the optimal balance between highest probability of correct decisions (≥ 99%) and lowest probability of incorrect decisions (≤ 1%). In addition, the average sample size for both plans (18 and 12 sets of 25 sweeps, respectively) was lower than that for the other proposed plans. The binomial sequential sampling plan can reduce the number of sample units required to achieve a management decision, which is important because it can potentially reduce risk/cost of management for stink bugs in soybean in this region.</description><subject>Agricultural pests</subject><subject>Animals</subject><subject>binomial sampling</subject><subject>Book publishing</subject><subject>Crop production</subject><subject>Decision making</subject><subject>Evaluation</subject><subject>Glycine max</subject><subject>Herbivory</subject><subject>Heteroptera</subject><subject>insect sampling</subject><subject>International economic relations</subject><subject>Management decisions</subject><subject>Pentatomidae</subject><subject>Population Density</subject><subject>resampling software</subject><subject>Risk reduction</subject><subject>Sampling</subject><subject>SAMPLING AND BIOSTATISTICS</subject><subject>soybean</subject><subject>Soybeans</subject><subject>stink bug</subject><subject>Stink bugs</subject><subject>United States</subject><issn>0022-0493</issn><issn>1938-291X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkc9u1DAQxi0EotvCiTuyhIRaobT-l8TmtlRAkYpYUSpxi5x4snhJ7GA7qrjxDrwhT4JpFg4cQHPwaPSbT9_4Q-gRJaeUKH62AzhLXrekru6gFVVcFkzRj3fRihDGCiIUP0CHMe4IoRWj5D464FzKsi7VCs2bABFcBz--fV-3tx2-0uM0WLfFm0G7iHsf8FWy7jN-MW8jPr6A0U4Jgn6ON-CSTn60RsMJtg6nT4DfWnMDMeH3sLXeYd_fTq-dTWCykE4QH6B7vR4iPNy_R-j61csP5xfF5bvXb87Xl0UrGE2FyW5rXQsCbaWFBKmM6RQXJaGkK0vodK9Uy01LjKwV62vNKOU0n0Yl0VDyI3S86E7Bf5mzqWa0sYMh3wV-jg0raSWFIKzK6JO_0J2fg8vuMiVUJRinLFOnC7XVAzTW9T4F3eUy-VM676C3eb6ulORE1lTkhWfLQhd8jAH6Zgp21OFrQ0nzK74mx9fs48v0472JuR3B_GF_55WBpwvg5-k_SicL2Fqfbf2T_QkKWrFT</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>Aita, Rafael Carlesso</creator><creator>Pezzini, Daniela T.</creator><creator>Burkness, Eric C.</creator><creator>DiFonzo, Christina D.</creator><creator>Finke, Deborah L.</creator><creator>Hunt, Thomas E.</creator><creator>Knodel, Janet J.</creator><creator>Krupke, Christian H.</creator><creator>Marchi-Werle, Lia</creator><creator>McCornack, Brian</creator><creator>Michel, Andrew P.</creator><creator>Philips, Christopher R.</creator><creator>Seiter, Nicholas J.</creator><creator>Varenhorst, Adam J.</creator><creator>Wright, Robert J.</creator><creator>Hutchison, William D.</creator><creator>Koch, Robert L.</creator><general>Entomological Society of America</general><general>Oxford University Press</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2953-9187</orcidid><orcidid>https://orcid.org/0000-0003-0557-265X</orcidid><orcidid>https://orcid.org/0000-0002-9347-0196</orcidid><orcidid>https://orcid.org/0000-0002-4853-3573</orcidid></search><sort><creationdate>20210601</creationdate><title>Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States</title><author>Aita, Rafael Carlesso ; Pezzini, Daniela T. ; Burkness, Eric C. ; DiFonzo, Christina D. ; Finke, Deborah L. ; Hunt, Thomas E. ; Knodel, Janet J. ; Krupke, Christian H. ; Marchi-Werle, Lia ; McCornack, Brian ; Michel, Andrew P. ; Philips, Christopher R. ; Seiter, Nicholas J. ; Varenhorst, Adam J. ; Wright, Robert J. ; Hutchison, William D. ; Koch, Robert L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b421t-d2107a740eb6a48e89ddc9345010c55ecaf99b3db0d8792f7a21131857180ae53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural pests</topic><topic>Animals</topic><topic>binomial sampling</topic><topic>Book publishing</topic><topic>Crop production</topic><topic>Decision making</topic><topic>Evaluation</topic><topic>Glycine max</topic><topic>Herbivory</topic><topic>Heteroptera</topic><topic>insect sampling</topic><topic>International economic relations</topic><topic>Management decisions</topic><topic>Pentatomidae</topic><topic>Population Density</topic><topic>resampling software</topic><topic>Risk reduction</topic><topic>Sampling</topic><topic>SAMPLING AND BIOSTATISTICS</topic><topic>soybean</topic><topic>Soybeans</topic><topic>stink bug</topic><topic>Stink bugs</topic><topic>United States</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aita, Rafael Carlesso</creatorcontrib><creatorcontrib>Pezzini, Daniela T.</creatorcontrib><creatorcontrib>Burkness, Eric C.</creatorcontrib><creatorcontrib>DiFonzo, Christina D.</creatorcontrib><creatorcontrib>Finke, Deborah L.</creatorcontrib><creatorcontrib>Hunt, Thomas E.</creatorcontrib><creatorcontrib>Knodel, Janet J.</creatorcontrib><creatorcontrib>Krupke, Christian H.</creatorcontrib><creatorcontrib>Marchi-Werle, Lia</creatorcontrib><creatorcontrib>McCornack, Brian</creatorcontrib><creatorcontrib>Michel, Andrew P.</creatorcontrib><creatorcontrib>Philips, Christopher R.</creatorcontrib><creatorcontrib>Seiter, Nicholas J.</creatorcontrib><creatorcontrib>Varenhorst, Adam J.</creatorcontrib><creatorcontrib>Wright, Robert J.</creatorcontrib><creatorcontrib>Hutchison, William D.</creatorcontrib><creatorcontrib>Koch, Robert L.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of economic entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aita, Rafael Carlesso</au><au>Pezzini, Daniela T.</au><au>Burkness, Eric C.</au><au>DiFonzo, Christina D.</au><au>Finke, Deborah L.</au><au>Hunt, Thomas E.</au><au>Knodel, Janet J.</au><au>Krupke, Christian H.</au><au>Marchi-Werle, Lia</au><au>McCornack, Brian</au><au>Michel, Andrew P.</au><au>Philips, Christopher R.</au><au>Seiter, Nicholas J.</au><au>Varenhorst, Adam J.</au><au>Wright, Robert J.</au><au>Hutchison, William D.</au><au>Koch, Robert L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States</atitle><jtitle>Journal of economic entomology</jtitle><addtitle>J Econ Entomol</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>114</volume><issue>3</issue><spage>1362</spage><epage>1372</epage><pages>1362-1372</pages><issn>0022-0493</issn><eissn>1938-291X</eissn><abstract>Stink bugs represent an increasing risk to soybean production in the Midwest region of the United States. The current sampling protocol for stink bugs in this region is tailored for population density estimation and thus is more relevant to research purposes. A practical decision-making framework with more efficient sampling effort for management of herbivorous stink bugs is needed. Therefore, a binomial sequential sampling plan was developed for herbivorous stink bugs in the Midwest region. A total of 146 soybean fields were sampled across 11 states using sweep nets in 2016, 2017, and 2018. The binomial sequential sampling plans were developed using combinations of five tally thresholds at two proportion infested action thresholds to identify those that provided the best sampling outcomes. Final assessment of the operating characteristic curves for each plan indicated that a tally threshold of 3 stink bugs per 25 sweeps, and proportion infested action thresholds of 0.75 and 0.95 corresponding to the action thresholds of 5 and 10 stink bugs per 25 sweeps, provided the optimal balance between highest probability of correct decisions (≥ 99%) and lowest probability of incorrect decisions (≤ 1%). In addition, the average sample size for both plans (18 and 12 sets of 25 sweeps, respectively) was lower than that for the other proposed plans. The binomial sequential sampling plan can reduce the number of sample units required to achieve a management decision, which is important because it can potentially reduce risk/cost of management for stink bugs in soybean in this region.</abstract><cop>US</cop><pub>Entomological Society of America</pub><pmid>33885759</pmid><doi>10.1093/jee/toab076</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2953-9187</orcidid><orcidid>https://orcid.org/0000-0003-0557-265X</orcidid><orcidid>https://orcid.org/0000-0002-9347-0196</orcidid><orcidid>https://orcid.org/0000-0002-4853-3573</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0022-0493 |
| ispartof | Journal of economic entomology, 2021-06, Vol.114 (3), p.1362-1372 |
| issn | 0022-0493 1938-291X |
| language | eng |
| recordid | cdi_proquest_miscellaneous_2516844026 |
| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Alma/SFX Local Collection |
| subjects | Agricultural pests Animals binomial sampling Book publishing Crop production Decision making Evaluation Glycine max Herbivory Heteroptera insect sampling International economic relations Management decisions Pentatomidae Population Density resampling software Risk reduction Sampling SAMPLING AND BIOSTATISTICS soybean Soybeans stink bug Stink bugs United States |
| title | Presence–Absence Sampling Plans for Stink Bugs (Hemiptera: Pentatomidae) in the Midwest Region of the United States |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T18%3A57%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Presence%E2%80%93Absence%20Sampling%20Plans%20for%20Stink%20Bugs%20(Hemiptera:%20Pentatomidae)%20in%20the%20Midwest%20Region%20of%20the%20United%20States&rft.jtitle=Journal%20of%20economic%20entomology&rft.au=Aita,%20Rafael%20Carlesso&rft.date=2021-06-01&rft.volume=114&rft.issue=3&rft.spage=1362&rft.epage=1372&rft.pages=1362-1372&rft.issn=0022-0493&rft.eissn=1938-291X&rft_id=info:doi/10.1093/jee/toab076&rft_dat=%3Cgale_proqu%3EA698308714%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2549642312&rft_id=info:pmid/33885759&rft_galeid=A698308714&rft_oup_id=10.1093/jee/toab076&rfr_iscdi=true |