Acoustic Detection of Melolonthine Larvae in Australian Sugarcane
Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potenti...
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Veröffentlicht in: | Journal of economic entomology 2009-08, Vol.102 (4), p.1523-1535 |
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description | Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potential alternative to this laborious procedure. Field surveys were conducted to detect the major pests Dermolepida albohirtum (Waterhouse) near Mackay, and Antitrogus parvulus Britton near Bundaberg. Computer analyses were developed to identify distinctive scrapes and other sounds produced by D. albohirtum and Antitrogus species and to distinguish them from sounds of nondamaging white grubs (Rutelinae, Dynastinae), as well as from extraneous, wind-induced tapping signals. Procedures were considered for incorporating acoustic methods into surveys and sequential sampling plans. Digging up and inspecting sugarcane root systems requires 10–12 min per sample, but acoustic assessments can be obtained in 3–5 min, so labor and time could be reduced by beginning the surveys with acoustic sampling. In a typical survey conducted in a field with low population densities, sampling might terminate quickly after five negative acoustic samples, establishing a desired precision level of 0.25 but avoiding the effort of excavating and inspecting empty samples. With a high population density, sampling might terminate also if signals were detected in five samples, in which case it would be beneficial to excavate the samples and count the white grubs. In intermediate populations, it might be necessary to collect up to 20 samples to achieve desired precision, and acoustic methods could help determine which samples would be best to excavate. |
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W ; Samson, P. R ; Chandler, K. J</creator><creatorcontrib>Mankin, R. W ; Samson, P. R ; Chandler, K. J</creatorcontrib><description>Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potential alternative to this laborious procedure. Field surveys were conducted to detect the major pests Dermolepida albohirtum (Waterhouse) near Mackay, and Antitrogus parvulus Britton near Bundaberg. Computer analyses were developed to identify distinctive scrapes and other sounds produced by D. albohirtum and Antitrogus species and to distinguish them from sounds of nondamaging white grubs (Rutelinae, Dynastinae), as well as from extraneous, wind-induced tapping signals. Procedures were considered for incorporating acoustic methods into surveys and sequential sampling plans. Digging up and inspecting sugarcane root systems requires 10–12 min per sample, but acoustic assessments can be obtained in 3–5 min, so labor and time could be reduced by beginning the surveys with acoustic sampling. In a typical survey conducted in a field with low population densities, sampling might terminate quickly after five negative acoustic samples, establishing a desired precision level of 0.25 but avoiding the effort of excavating and inspecting empty samples. With a high population density, sampling might terminate also if signals were detected in five samples, in which case it would be beneficial to excavate the samples and count the white grubs. In intermediate populations, it might be necessary to collect up to 20 samples to achieve desired precision, and acoustic methods could help determine which samples would be best to excavate.</description><identifier>ISSN: 0022-0493</identifier><identifier>EISSN: 1938-291X</identifier><identifier>EISSN: 0022-0493</identifier><identifier>DOI: 10.1603/029.102.0417</identifier><identifier>PMID: 19736765</identifier><identifier>CODEN: JEENAI</identifier><language>eng</language><publisher>Lanham, MD: Entomological Society of America</publisher><subject>acoustic detection ; Acoustics ; Animals ; Antitrogus consanguineus ; Antitrogus parvulus ; Biological and medical sciences ; Coleoptera ; Coleoptera - growth & development ; Coleoptera - physiology ; Computer applications ; Control ; Dermolepida albohirtum ; Dynastinae ; Feeding Behavior ; FIELD AND FORAGE CROPS ; Fundamental and applied biological sciences. Psychology ; Generalities ; Insect Control - methods ; Larva - physiology ; Lepidiota ; Melolonthinae ; Pests ; Phytopathology. Animal pests. Plant and forest protection ; Population Density ; Protozoa. Invertebrates ; Queensland ; Risk Assessment ; Rutelinae ; Saccharum ; Sampling ; Scarabaeidae ; Soil ; Sound</subject><ispartof>Journal of economic entomology, 2009-08, Vol.102 (4), p.1523-1535</ispartof><rights>2009 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b423t-1a870140ed49388291825382aee6c0fa13383c84edc418e773efb53c7a290bdb3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://bioone.org/doi/pdf/10.1603/029.102.0417$$EPDF$$P50$$Gbioone$$H</linktopdf><link.rule.ids>314,780,784,26978,27924,27925,52363</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21805407$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19736765$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mankin, R. W</creatorcontrib><creatorcontrib>Samson, P. R</creatorcontrib><creatorcontrib>Chandler, K. J</creatorcontrib><title>Acoustic Detection of Melolonthine Larvae in Australian Sugarcane</title><title>Journal of economic entomology</title><addtitle>J Econ Entomol</addtitle><description>Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potential alternative to this laborious procedure. Field surveys were conducted to detect the major pests Dermolepida albohirtum (Waterhouse) near Mackay, and Antitrogus parvulus Britton near Bundaberg. Computer analyses were developed to identify distinctive scrapes and other sounds produced by D. albohirtum and Antitrogus species and to distinguish them from sounds of nondamaging white grubs (Rutelinae, Dynastinae), as well as from extraneous, wind-induced tapping signals. Procedures were considered for incorporating acoustic methods into surveys and sequential sampling plans. Digging up and inspecting sugarcane root systems requires 10–12 min per sample, but acoustic assessments can be obtained in 3–5 min, so labor and time could be reduced by beginning the surveys with acoustic sampling. In a typical survey conducted in a field with low population densities, sampling might terminate quickly after five negative acoustic samples, establishing a desired precision level of 0.25 but avoiding the effort of excavating and inspecting empty samples. With a high population density, sampling might terminate also if signals were detected in five samples, in which case it would be beneficial to excavate the samples and count the white grubs. In intermediate populations, it might be necessary to collect up to 20 samples to achieve desired precision, and acoustic methods could help determine which samples would be best to excavate.</description><subject>acoustic detection</subject><subject>Acoustics</subject><subject>Animals</subject><subject>Antitrogus consanguineus</subject><subject>Antitrogus parvulus</subject><subject>Biological and medical sciences</subject><subject>Coleoptera</subject><subject>Coleoptera - growth & development</subject><subject>Coleoptera - physiology</subject><subject>Computer applications</subject><subject>Control</subject><subject>Dermolepida albohirtum</subject><subject>Dynastinae</subject><subject>Feeding Behavior</subject><subject>FIELD AND FORAGE CROPS</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Generalities</subject><subject>Insect Control - methods</subject><subject>Larva - physiology</subject><subject>Lepidiota</subject><subject>Melolonthinae</subject><subject>Pests</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>Population Density</subject><subject>Protozoa. Invertebrates</subject><subject>Queensland</subject><subject>Risk Assessment</subject><subject>Rutelinae</subject><subject>Saccharum</subject><subject>Sampling</subject><subject>Scarabaeidae</subject><subject>Soil</subject><subject>Sound</subject><issn>0022-0493</issn><issn>1938-291X</issn><issn>0022-0493</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0D1PwzAQBmALgWgpbMwoCwyIlDs7cZyxKp9SEQMgsUWOewGjNAY7ReLf46oVbDDZw6P37l7GDhHGKEGcAy_HCHwMGRZbbIilUCkv8XmbDQE4TyErxYDthfAGgJIj7LIBloWQhcyHbDIxbhl6a5IL6sn01nWJa5I7al3ruv7VdpTMtP_UlNgumUTqdWt1lzwsX7Q3uqN9ttPoNtDB5h2xp6vLx-lNOru_vp1OZmmdcdGnqFUBmAHN4z5KxQ0Vz4XimkgaaDQKoYRRGc1NhoqKQlBT58IUmpdQz2sxYifr3HfvPpYU-mphg6G2jTvEE6p4T5ZLKf-FHFGWhVQRnq2h8S4ET0317u1C-68KoVp1W8Vu459Xq24jP9rkLusFzX_xpswIjjdAB6PbxuvO2PDjOCrIM1gFna5dbZ3r6O-p3wcOjBk</recordid><startdate>20090801</startdate><enddate>20090801</enddate><creator>Mankin, R. W</creator><creator>Samson, P. R</creator><creator>Chandler, K. J</creator><general>Entomological Society of America</general><scope>IQODW</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>7QG</scope><scope>7SS</scope><scope>7X8</scope></search><sort><creationdate>20090801</creationdate><title>Acoustic Detection of Melolonthine Larvae in Australian Sugarcane</title><author>Mankin, R. W ; Samson, P. R ; Chandler, K. J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b423t-1a870140ed49388291825382aee6c0fa13383c84edc418e773efb53c7a290bdb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>acoustic detection</topic><topic>Acoustics</topic><topic>Animals</topic><topic>Antitrogus consanguineus</topic><topic>Antitrogus parvulus</topic><topic>Biological and medical sciences</topic><topic>Coleoptera</topic><topic>Coleoptera - growth & development</topic><topic>Coleoptera - physiology</topic><topic>Computer applications</topic><topic>Control</topic><topic>Dermolepida albohirtum</topic><topic>Dynastinae</topic><topic>Feeding Behavior</topic><topic>FIELD AND FORAGE CROPS</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Generalities</topic><topic>Insect Control - methods</topic><topic>Larva - physiology</topic><topic>Lepidiota</topic><topic>Melolonthinae</topic><topic>Pests</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>Population Density</topic><topic>Protozoa. Invertebrates</topic><topic>Queensland</topic><topic>Risk Assessment</topic><topic>Rutelinae</topic><topic>Saccharum</topic><topic>Sampling</topic><topic>Scarabaeidae</topic><topic>Soil</topic><topic>Sound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mankin, R. W</creatorcontrib><creatorcontrib>Samson, P. R</creatorcontrib><creatorcontrib>Chandler, K. J</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Animal Behavior Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of economic entomology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mankin, R. W</au><au>Samson, P. R</au><au>Chandler, K. J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Acoustic Detection of Melolonthine Larvae in Australian Sugarcane</atitle><jtitle>Journal of economic entomology</jtitle><addtitle>J Econ Entomol</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>102</volume><issue>4</issue><spage>1523</spage><epage>1535</epage><pages>1523-1535</pages><issn>0022-0493</issn><eissn>1938-291X</eissn><eissn>0022-0493</eissn><coden>JEENAI</coden><abstract>Decision support systems have been developed for risk analysis and management of root-feeding white grubs (Coleoptera: Scarabaeidae: Melolonthinae) in Queensland, Australia, sugarcane (Saccharum spp.), based partly on manual inspection of soil samples. Acoustic technology was considered as a potential alternative to this laborious procedure. Field surveys were conducted to detect the major pests Dermolepida albohirtum (Waterhouse) near Mackay, and Antitrogus parvulus Britton near Bundaberg. Computer analyses were developed to identify distinctive scrapes and other sounds produced by D. albohirtum and Antitrogus species and to distinguish them from sounds of nondamaging white grubs (Rutelinae, Dynastinae), as well as from extraneous, wind-induced tapping signals. Procedures were considered for incorporating acoustic methods into surveys and sequential sampling plans. Digging up and inspecting sugarcane root systems requires 10–12 min per sample, but acoustic assessments can be obtained in 3–5 min, so labor and time could be reduced by beginning the surveys with acoustic sampling. In a typical survey conducted in a field with low population densities, sampling might terminate quickly after five negative acoustic samples, establishing a desired precision level of 0.25 but avoiding the effort of excavating and inspecting empty samples. With a high population density, sampling might terminate also if signals were detected in five samples, in which case it would be beneficial to excavate the samples and count the white grubs. In intermediate populations, it might be necessary to collect up to 20 samples to achieve desired precision, and acoustic methods could help determine which samples would be best to excavate.</abstract><cop>Lanham, MD</cop><pub>Entomological Society of America</pub><pmid>19736765</pmid><doi>10.1603/029.102.0417</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; BioOne Complete; Oxford University Press Journals All Titles (1996-Current) |
subjects | acoustic detection Acoustics Animals Antitrogus consanguineus Antitrogus parvulus Biological and medical sciences Coleoptera Coleoptera - growth & development Coleoptera - physiology Computer applications Control Dermolepida albohirtum Dynastinae Feeding Behavior FIELD AND FORAGE CROPS Fundamental and applied biological sciences. Psychology Generalities Insect Control - methods Larva - physiology Lepidiota Melolonthinae Pests Phytopathology. Animal pests. Plant and forest protection Population Density Protozoa. Invertebrates Queensland Risk Assessment Rutelinae Saccharum Sampling Scarabaeidae Soil Sound |
title | Acoustic Detection of Melolonthine Larvae in Australian Sugarcane |
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