Loading…
Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields
The cabbage aphid is a significant pest worldwide in brassica crops, including canola. This pest has shown considerable ability to develop resistance to insecticides, so these should only be applied on a “when and where needed” basis. Thus, optimized sampling plans to accurately assess cabbage aphid...
Saved in:
Published in: | Journal of economic entomology 2016-08, Vol.109 (4), p.1929-1935 |
---|---|
Main Authors: | , , |
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-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3 |
---|---|
cites | cdi_FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3 |
container_end_page | 1935 |
container_issue | 4 |
container_start_page | 1929 |
container_title | Journal of economic entomology |
container_volume | 109 |
creator | Severtson, Dustin Flower, Ken Nansen, Christian |
description | The cabbage aphid is a significant pest worldwide in brassica crops, including canola. This pest has shown considerable ability to develop resistance to insecticides, so these should only be applied on a “when and where needed” basis. Thus, optimized sampling plans to accurately assess cabbage aphid densities are critically important to determine the potential need for pesticide applications. In this study, we developed a spatially optimized binomial sequential sampling plan for cabbage aphids in canola fields. Based on five sampled canola fields, sampling plans were developed using 0.1, 0.2, and 0.3 proportions of plants infested as action thresholds. Average sample numbers required to make a decision ranged from 10 to 25 plants. Decreasing acceptable error from 10 to 5% was not considered practically feasible, as it substantially increased the number of samples required to reach a decision. We determined the relationship between the proportions of canola plants infested and cabbage aphid densities per plant, and proposed a spatially optimized sequential sampling plan for cabbage aphids in canola fields, in which spatial features (i.e., edge effects) and optimization of sampling effort (i.e., sequential sampling) are combined. Two forms of stratification were performed to reduce spatial variability caused by edge effects and large field sizes. Spatially optimized sampling, starting at the edge of fields, reduced spatial variability and therefore increased the accuracy of infested plant density estimates. The proposed spatially optimized sampling plan may be used to spatially target insecticide applications, resulting in cost savings, insecticide resistance mitigation, conservation of natural enemies, and reduced environmental impact. |
doi_str_mv | 10.1093/jee/tow147 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1811296563</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/jee/tow147</oup_id><sourcerecordid>4303473161</sourcerecordid><originalsourceid>FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3</originalsourceid><addsrcrecordid>eNp90UGL1DAYBuAgijuuXvwBEhBhFbr7pe20ibd1cF1hYIVR8Fa-pF_WDG1Tk1YZT_50s3T04GFPIeHhJS8vY88FnAtQxcWe6GLyP0VZP2AroQqZ5Up8fchWAHmeQamKE_Ykxj2AqHIBj9lJXhe1qEGt2O_diJPDrjtkN-PkeveLWr6j7zMNd898h_3YueGWf-pw4NYHvkGt8Zb45fjNtZG_C_TDGR8OA3EdMEZnkPj2nJ9dU-_GiQK-XaxrkV5zN6SEwXfIrxx1bXzKHlnsIj07nqfsy9X7z5vrbHvz4ePmcpvpopZTlq9NZbBEC1ajNKWSuqpMBWiULrSuQaISoK2xBdZSAUC6VyVYUeckwRan7GzJHYNP7eLU9C4a6lIt8nNshBQiV9W6KhJ9-R_d-zkM6XdJrVUJUskyqTeLMsHHGMg2Y3A9hkMjoLnbpUm7NMsuCb84Rs66p_Yf_TtEAq8W4Ofx_qBjDe28H-g--gcjV6Qe</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1859408984</pqid></control><display><type>article</type><title>Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields</title><source>Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list)</source><creator>Severtson, Dustin ; Flower, Ken ; Nansen, Christian</creator><creatorcontrib>Severtson, Dustin ; Flower, Ken ; Nansen, Christian</creatorcontrib><description>The cabbage aphid is a significant pest worldwide in brassica crops, including canola. This pest has shown considerable ability to develop resistance to insecticides, so these should only be applied on a “when and where needed” basis. Thus, optimized sampling plans to accurately assess cabbage aphid densities are critically important to determine the potential need for pesticide applications. In this study, we developed a spatially optimized binomial sequential sampling plan for cabbage aphids in canola fields. Based on five sampled canola fields, sampling plans were developed using 0.1, 0.2, and 0.3 proportions of plants infested as action thresholds. Average sample numbers required to make a decision ranged from 10 to 25 plants. Decreasing acceptable error from 10 to 5% was not considered practically feasible, as it substantially increased the number of samples required to reach a decision. We determined the relationship between the proportions of canola plants infested and cabbage aphid densities per plant, and proposed a spatially optimized sequential sampling plan for cabbage aphids in canola fields, in which spatial features (i.e., edge effects) and optimization of sampling effort (i.e., sequential sampling) are combined. Two forms of stratification were performed to reduce spatial variability caused by edge effects and large field sizes. Spatially optimized sampling, starting at the edge of fields, reduced spatial variability and therefore increased the accuracy of infested plant density estimates. The proposed spatially optimized sampling plan may be used to spatially target insecticide applications, resulting in cost savings, insecticide resistance mitigation, conservation of natural enemies, and reduced environmental impact.</description><identifier>ISSN: 0022-0493</identifier><identifier>EISSN: 1938-291X</identifier><identifier>DOI: 10.1093/jee/tow147</identifier><identifier>PMID: 27371709</identifier><language>eng</language><publisher>England: Entomological Society of America</publisher><subject>Animals ; Aphids - physiology ; Brassica - growth & development ; crop scouting ; edge effect ; Environmental impact ; Insect Control - methods ; Insecticides ; Insects ; IPM ; Pest control ; Pesticide application ; Pesticides ; Pests ; Planting density ; Population Density ; Rape plants ; resampling software ; SAMPLING AND BIOSTATISTICS ; Seasons ; Spatial analysis ; spatial distribution ; Western Australia</subject><ispartof>Journal of economic entomology, 2016-08, Vol.109 (4), p.1929-1935</ispartof><rights>The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com journals.permissions@oup.com</rights><rights>The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016</rights><rights>The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><rights>Copyright Oxford University Press, UK Aug 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3</citedby><cites>FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3</cites></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/27371709$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Severtson, Dustin</creatorcontrib><creatorcontrib>Flower, Ken</creatorcontrib><creatorcontrib>Nansen, Christian</creatorcontrib><title>Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields</title><title>Journal of economic entomology</title><addtitle>J Econ Entomol</addtitle><description>The cabbage aphid is a significant pest worldwide in brassica crops, including canola. This pest has shown considerable ability to develop resistance to insecticides, so these should only be applied on a “when and where needed” basis. Thus, optimized sampling plans to accurately assess cabbage aphid densities are critically important to determine the potential need for pesticide applications. In this study, we developed a spatially optimized binomial sequential sampling plan for cabbage aphids in canola fields. Based on five sampled canola fields, sampling plans were developed using 0.1, 0.2, and 0.3 proportions of plants infested as action thresholds. Average sample numbers required to make a decision ranged from 10 to 25 plants. Decreasing acceptable error from 10 to 5% was not considered practically feasible, as it substantially increased the number of samples required to reach a decision. We determined the relationship between the proportions of canola plants infested and cabbage aphid densities per plant, and proposed a spatially optimized sequential sampling plan for cabbage aphids in canola fields, in which spatial features (i.e., edge effects) and optimization of sampling effort (i.e., sequential sampling) are combined. Two forms of stratification were performed to reduce spatial variability caused by edge effects and large field sizes. Spatially optimized sampling, starting at the edge of fields, reduced spatial variability and therefore increased the accuracy of infested plant density estimates. The proposed spatially optimized sampling plan may be used to spatially target insecticide applications, resulting in cost savings, insecticide resistance mitigation, conservation of natural enemies, and reduced environmental impact.</description><subject>Animals</subject><subject>Aphids - physiology</subject><subject>Brassica - growth & development</subject><subject>crop scouting</subject><subject>edge effect</subject><subject>Environmental impact</subject><subject>Insect Control - methods</subject><subject>Insecticides</subject><subject>Insects</subject><subject>IPM</subject><subject>Pest control</subject><subject>Pesticide application</subject><subject>Pesticides</subject><subject>Pests</subject><subject>Planting density</subject><subject>Population Density</subject><subject>Rape plants</subject><subject>resampling software</subject><subject>SAMPLING AND BIOSTATISTICS</subject><subject>Seasons</subject><subject>Spatial analysis</subject><subject>spatial distribution</subject><subject>Western Australia</subject><issn>0022-0493</issn><issn>1938-291X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp90UGL1DAYBuAgijuuXvwBEhBhFbr7pe20ibd1cF1hYIVR8Fa-pF_WDG1Tk1YZT_50s3T04GFPIeHhJS8vY88FnAtQxcWe6GLyP0VZP2AroQqZ5Up8fchWAHmeQamKE_Ykxj2AqHIBj9lJXhe1qEGt2O_diJPDrjtkN-PkeveLWr6j7zMNd898h_3YueGWf-pw4NYHvkGt8Zb45fjNtZG_C_TDGR8OA3EdMEZnkPj2nJ9dU-_GiQK-XaxrkV5zN6SEwXfIrxx1bXzKHlnsIj07nqfsy9X7z5vrbHvz4ePmcpvpopZTlq9NZbBEC1ajNKWSuqpMBWiULrSuQaISoK2xBdZSAUC6VyVYUeckwRan7GzJHYNP7eLU9C4a6lIt8nNshBQiV9W6KhJ9-R_d-zkM6XdJrVUJUskyqTeLMsHHGMg2Y3A9hkMjoLnbpUm7NMsuCb84Rs66p_Yf_TtEAq8W4Ofx_qBjDe28H-g--gcjV6Qe</recordid><startdate>20160801</startdate><enddate>20160801</enddate><creator>Severtson, Dustin</creator><creator>Flower, Ken</creator><creator>Nansen, Christian</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>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></search><sort><creationdate>20160801</creationdate><title>Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields</title><author>Severtson, Dustin ; Flower, Ken ; Nansen, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Animals</topic><topic>Aphids - physiology</topic><topic>Brassica - growth & development</topic><topic>crop scouting</topic><topic>edge effect</topic><topic>Environmental impact</topic><topic>Insect Control - methods</topic><topic>Insecticides</topic><topic>Insects</topic><topic>IPM</topic><topic>Pest control</topic><topic>Pesticide application</topic><topic>Pesticides</topic><topic>Pests</topic><topic>Planting density</topic><topic>Population Density</topic><topic>Rape plants</topic><topic>resampling software</topic><topic>SAMPLING AND BIOSTATISTICS</topic><topic>Seasons</topic><topic>Spatial analysis</topic><topic>spatial distribution</topic><topic>Western Australia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Severtson, Dustin</creatorcontrib><creatorcontrib>Flower, Ken</creatorcontrib><creatorcontrib>Nansen, Christian</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>ProQuest Health and Medical</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: 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>ProQuest Research Library</collection><collection>ProQuest Biological Science Journals</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>Severtson, Dustin</au><au>Flower, Ken</au><au>Nansen, Christian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields</atitle><jtitle>Journal of economic entomology</jtitle><addtitle>J Econ Entomol</addtitle><date>2016-08-01</date><risdate>2016</risdate><volume>109</volume><issue>4</issue><spage>1929</spage><epage>1935</epage><pages>1929-1935</pages><issn>0022-0493</issn><eissn>1938-291X</eissn><abstract>The cabbage aphid is a significant pest worldwide in brassica crops, including canola. This pest has shown considerable ability to develop resistance to insecticides, so these should only be applied on a “when and where needed” basis. Thus, optimized sampling plans to accurately assess cabbage aphid densities are critically important to determine the potential need for pesticide applications. In this study, we developed a spatially optimized binomial sequential sampling plan for cabbage aphids in canola fields. Based on five sampled canola fields, sampling plans were developed using 0.1, 0.2, and 0.3 proportions of plants infested as action thresholds. Average sample numbers required to make a decision ranged from 10 to 25 plants. Decreasing acceptable error from 10 to 5% was not considered practically feasible, as it substantially increased the number of samples required to reach a decision. We determined the relationship between the proportions of canola plants infested and cabbage aphid densities per plant, and proposed a spatially optimized sequential sampling plan for cabbage aphids in canola fields, in which spatial features (i.e., edge effects) and optimization of sampling effort (i.e., sequential sampling) are combined. Two forms of stratification were performed to reduce spatial variability caused by edge effects and large field sizes. Spatially optimized sampling, starting at the edge of fields, reduced spatial variability and therefore increased the accuracy of infested plant density estimates. The proposed spatially optimized sampling plan may be used to spatially target insecticide applications, resulting in cost savings, insecticide resistance mitigation, conservation of natural enemies, and reduced environmental impact.</abstract><cop>England</cop><pub>Entomological Society of America</pub><pmid>27371709</pmid><doi>10.1093/jee/tow147</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0022-0493 |
ispartof | Journal of economic entomology, 2016-08, Vol.109 (4), p.1929-1935 |
issn | 0022-0493 1938-291X |
language | eng |
recordid | cdi_proquest_miscellaneous_1811296563 |
source | Oxford University Press:Jisc Collections:OUP Read and Publish 2024-2025 (2024 collection) (Reading list) |
subjects | Animals Aphids - physiology Brassica - growth & development crop scouting edge effect Environmental impact Insect Control - methods Insecticides Insects IPM Pest control Pesticide application Pesticides Pests Planting density Population Density Rape plants resampling software SAMPLING AND BIOSTATISTICS Seasons Spatial analysis spatial distribution Western Australia |
title | Spatially-Optimized Sequential Sampling Plan for Cabbage Aphids Brevicoryne brassicae L. (Hemiptera: Aphididae) in Canola Fields |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T17%3A59%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatially-Optimized%20Sequential%20Sampling%20Plan%20for%20Cabbage%20Aphids%20Brevicoryne%20brassicae%20L.%20(Hemiptera:%20Aphididae)%20in%20Canola%20Fields&rft.jtitle=Journal%20of%20economic%20entomology&rft.au=Severtson,%20Dustin&rft.date=2016-08-01&rft.volume=109&rft.issue=4&rft.spage=1929&rft.epage=1935&rft.pages=1929-1935&rft.issn=0022-0493&rft.eissn=1938-291X&rft_id=info:doi/10.1093/jee/tow147&rft_dat=%3Cproquest_cross%3E4303473161%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-b378t-25c6ca4af0fba8c498b66c60ac9b3bb708a910bfcf3a789000a91640f172e80f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1859408984&rft_id=info:pmid/27371709&rft_oup_id=10.1093/jee/tow147&rfr_iscdi=true |