Validation of HERB for use in peanut (Arachis hypogaea)
Researchers are currently developing predictive weed management models to aid producers in maintaining or improving economic profitability of peanut production while minimizing herbicide inputs and reducing environmental impact. HERB (Version 2.1.P), a computer decision model, has recently been deve...
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| Veröffentlicht in: | Weed technology 1997-07, Vol.11 (3), p.573-579 |
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| container_end_page | 579 |
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| container_issue | 3 |
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| container_title | Weed technology |
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| creator | White, A.D Coble, H.D |
| description | Researchers are currently developing predictive weed management models to aid producers in maintaining or improving economic profitability of peanut production while minimizing herbicide inputs and reducing environmental impact. HERB (Version 2.1.P), a computer decision model, has recently been developed for peanut and is now awaiting validation of weed control decisions before being released to the public. Field validation trials in 1994 and 1995 indicate that the current competitive index parameters in the HERB model are invalid, and statistically estimated competitive indices were generated. Estimating new parameters improved R2values from 0.37 to 0.61. New competitive index parameters allow the HERB model to more accurately predict the level of yield loss at a given weed density. |
| doi_str_mv | 10.1017/s0890037x00045449 |
| format | Article |
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HERB (Version 2.1.P), a computer decision model, has recently been developed for peanut and is now awaiting validation of weed control decisions before being released to the public. Field validation trials in 1994 and 1995 indicate that the current competitive index parameters in the HERB model are invalid, and statistically estimated competitive indices were generated. Estimating new parameters improved R2values from 0.37 to 0.61. New competitive index parameters allow the HERB model to more accurately predict the level of yield loss at a given weed density.</description><identifier>ISSN: 0890-037X</identifier><identifier>EISSN: 1550-2740</identifier><identifier>DOI: 10.1017/s0890037x00045449</identifier><identifier>CODEN: WETEE9</identifier><language>eng</language><publisher>Lawrence, KS: Weed Science Society of America</publisher><subject>ACCURACY ; ARACHIS HYPOGAEA ; Biological and medical sciences ; BIOLOGICAL COMPETITION ; CAROLINA DEL NORTE ; CAROLINE DU NORD ; Chemical control ; COMPETENCIA BIOLOGICA ; COMPETICION VEGETAL ; COMPETITION BIOLOGIQUE ; COMPETITION VEGETALE ; COMPETITIVE ABILITY ; COMPUTER SOFTWARE ; CROP YIELD ; DECISION MAKING ; Decision making models ; DESHERBAGE ; Economic models ; ESCARDA ; FORECASTING ; Fundamental and applied biological sciences. Psychology ; Herbicides ; Herbs ; Hyperbolas ; LOGICIEL ; LOSSES ; MALEZAS ; MAUVAISE HERBE ; MODEL VALIDATION ; MODELE DE SIMULATION ; Modeling ; MODELOS DE SIMULACION ; NORTH CAROLINA ; Parasitic plants. Weeds ; Peanuts ; PERDIDAS ; PERTE ; Phytopathology. Animal pests. Plant and forest protection ; PLANT COMPETITION ; PRISE DE DECISION ; PROGRAMAS DE ORDENADOR ; RENDEMENT ; RENDEMENT DES CULTURES ; RENDIMIENTO ; RENDIMIENTO DE CULTIVOS ; SIMULATION MODELS ; TECHNIQUE DE PREVISION ; TECNICAS DE PREDICCION ; TOMA DE DECISIONES ; Weed competition ; WEED CONTROL ; WEEDS ; YIELDS</subject><ispartof>Weed technology, 1997-07, Vol.11 (3), p.573-579</ispartof><rights>Copyright 1997 The Weed Science Society of America</rights><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c315t-df3deda4c5e0cd813598a4e1344844d7c68f57cae1a3b906cd729bbb6da36e7a3</citedby><cites>FETCH-LOGICAL-c315t-df3deda4c5e0cd813598a4e1344844d7c68f57cae1a3b906cd729bbb6da36e7a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/3988440$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/3988440$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>315,781,785,804,27928,27929,58021,58254</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2082008$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>White, A.D</creatorcontrib><creatorcontrib>Coble, H.D</creatorcontrib><title>Validation of HERB for use in peanut (Arachis hypogaea)</title><title>Weed technology</title><description>Researchers are currently developing predictive weed management models to aid producers in maintaining or improving economic profitability of peanut production while minimizing herbicide inputs and reducing environmental impact. HERB (Version 2.1.P), a computer decision model, has recently been developed for peanut and is now awaiting validation of weed control decisions before being released to the public. Field validation trials in 1994 and 1995 indicate that the current competitive index parameters in the HERB model are invalid, and statistically estimated competitive indices were generated. Estimating new parameters improved R2values from 0.37 to 0.61. New competitive index parameters allow the HERB model to more accurately predict the level of yield loss at a given weed density.</description><subject>ACCURACY</subject><subject>ARACHIS HYPOGAEA</subject><subject>Biological and medical sciences</subject><subject>BIOLOGICAL COMPETITION</subject><subject>CAROLINA DEL NORTE</subject><subject>CAROLINE DU NORD</subject><subject>Chemical control</subject><subject>COMPETENCIA BIOLOGICA</subject><subject>COMPETICION VEGETAL</subject><subject>COMPETITION BIOLOGIQUE</subject><subject>COMPETITION VEGETALE</subject><subject>COMPETITIVE ABILITY</subject><subject>COMPUTER SOFTWARE</subject><subject>CROP YIELD</subject><subject>DECISION MAKING</subject><subject>Decision making models</subject><subject>DESHERBAGE</subject><subject>Economic models</subject><subject>ESCARDA</subject><subject>FORECASTING</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Herbicides</subject><subject>Herbs</subject><subject>Hyperbolas</subject><subject>LOGICIEL</subject><subject>LOSSES</subject><subject>MALEZAS</subject><subject>MAUVAISE HERBE</subject><subject>MODEL VALIDATION</subject><subject>MODELE DE SIMULATION</subject><subject>Modeling</subject><subject>MODELOS DE SIMULACION</subject><subject>NORTH CAROLINA</subject><subject>Parasitic plants. Weeds</subject><subject>Peanuts</subject><subject>PERDIDAS</subject><subject>PERTE</subject><subject>Phytopathology. Animal pests. Plant and forest protection</subject><subject>PLANT COMPETITION</subject><subject>PRISE DE DECISION</subject><subject>PROGRAMAS DE ORDENADOR</subject><subject>RENDEMENT</subject><subject>RENDEMENT DES CULTURES</subject><subject>RENDIMIENTO</subject><subject>RENDIMIENTO DE CULTIVOS</subject><subject>SIMULATION MODELS</subject><subject>TECHNIQUE DE PREVISION</subject><subject>TECNICAS DE PREDICCION</subject><subject>TOMA DE DECISIONES</subject><subject>Weed competition</subject><subject>WEED CONTROL</subject><subject>WEEDS</subject><subject>YIELDS</subject><issn>0890-037X</issn><issn>1550-2740</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><recordid>eNo9j1FLwzAUhYMoOKc_QFDIgw_6UL1pkqZ5nGM6YSA4J3srt0m6dcy2JB24f29HdU_34Tvf4R5Crhk8MmDqKUCqAbj6AQAhhdAnZMCkhChWAk7J4ICjji_PyUUIGwCWxDEMiPrCbWmxLeuK1gWdTj6eaVF7uguOlhVtHFa7lt6PPJp1Geh639QrdPhwSc4K3AZ39XeHZPEy-RxPo9n769t4NIsMZ7KNbMGtsyiMdGBsyrjUKQrHuBCpEFaZJC2kMugY8lxDYqyKdZ7niUWeOIV8SFjfa3wdgndF1vjyG_0-Y5Adlmfzv-XL_-Wdc9c7DQaD28JjZcpwFGNIY4C0i930sU1oa3_EXKfda9Dh2x4XWGe48l3DYs60ViBVzDj_BR_KaZc</recordid><startdate>19970701</startdate><enddate>19970701</enddate><creator>White, A.D</creator><creator>Coble, H.D</creator><general>Weed Science Society of America</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19970701</creationdate><title>Validation of HERB for use in peanut (Arachis hypogaea)</title><author>White, A.D ; Coble, H.D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c315t-df3deda4c5e0cd813598a4e1344844d7c68f57cae1a3b906cd729bbb6da36e7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>ACCURACY</topic><topic>ARACHIS HYPOGAEA</topic><topic>Biological and medical sciences</topic><topic>BIOLOGICAL COMPETITION</topic><topic>CAROLINA DEL NORTE</topic><topic>CAROLINE DU NORD</topic><topic>Chemical control</topic><topic>COMPETENCIA BIOLOGICA</topic><topic>COMPETICION VEGETAL</topic><topic>COMPETITION BIOLOGIQUE</topic><topic>COMPETITION VEGETALE</topic><topic>COMPETITIVE ABILITY</topic><topic>COMPUTER SOFTWARE</topic><topic>CROP YIELD</topic><topic>DECISION MAKING</topic><topic>Decision making models</topic><topic>DESHERBAGE</topic><topic>Economic models</topic><topic>ESCARDA</topic><topic>FORECASTING</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Herbicides</topic><topic>Herbs</topic><topic>Hyperbolas</topic><topic>LOGICIEL</topic><topic>LOSSES</topic><topic>MALEZAS</topic><topic>MAUVAISE HERBE</topic><topic>MODEL VALIDATION</topic><topic>MODELE DE SIMULATION</topic><topic>Modeling</topic><topic>MODELOS DE SIMULACION</topic><topic>NORTH CAROLINA</topic><topic>Parasitic plants. Weeds</topic><topic>Peanuts</topic><topic>PERDIDAS</topic><topic>PERTE</topic><topic>Phytopathology. Animal pests. Plant and forest protection</topic><topic>PLANT COMPETITION</topic><topic>PRISE DE DECISION</topic><topic>PROGRAMAS DE ORDENADOR</topic><topic>RENDEMENT</topic><topic>RENDEMENT DES CULTURES</topic><topic>RENDIMIENTO</topic><topic>RENDIMIENTO DE CULTIVOS</topic><topic>SIMULATION MODELS</topic><topic>TECHNIQUE DE PREVISION</topic><topic>TECNICAS DE PREDICCION</topic><topic>TOMA DE DECISIONES</topic><topic>Weed competition</topic><topic>WEED CONTROL</topic><topic>WEEDS</topic><topic>YIELDS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>White, A.D</creatorcontrib><creatorcontrib>Coble, H.D</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Weed technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>White, A.D</au><au>Coble, H.D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of HERB for use in peanut (Arachis hypogaea)</atitle><jtitle>Weed technology</jtitle><date>1997-07-01</date><risdate>1997</risdate><volume>11</volume><issue>3</issue><spage>573</spage><epage>579</epage><pages>573-579</pages><issn>0890-037X</issn><eissn>1550-2740</eissn><coden>WETEE9</coden><abstract>Researchers are currently developing predictive weed management models to aid producers in maintaining or improving economic profitability of peanut production while minimizing herbicide inputs and reducing environmental impact. HERB (Version 2.1.P), a computer decision model, has recently been developed for peanut and is now awaiting validation of weed control decisions before being released to the public. Field validation trials in 1994 and 1995 indicate that the current competitive index parameters in the HERB model are invalid, and statistically estimated competitive indices were generated. Estimating new parameters improved R2values from 0.37 to 0.61. New competitive index parameters allow the HERB model to more accurately predict the level of yield loss at a given weed density.</abstract><cop>Lawrence, KS</cop><pub>Weed Science Society of America</pub><doi>10.1017/s0890037x00045449</doi><tpages>7</tpages></addata></record> |
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| identifier | ISSN: 0890-037X |
| ispartof | Weed technology, 1997-07, Vol.11 (3), p.573-579 |
| issn | 0890-037X 1550-2740 |
| language | eng |
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| source | JSTOR |
| subjects | ACCURACY ARACHIS HYPOGAEA Biological and medical sciences BIOLOGICAL COMPETITION CAROLINA DEL NORTE CAROLINE DU NORD Chemical control COMPETENCIA BIOLOGICA COMPETICION VEGETAL COMPETITION BIOLOGIQUE COMPETITION VEGETALE COMPETITIVE ABILITY COMPUTER SOFTWARE CROP YIELD DECISION MAKING Decision making models DESHERBAGE Economic models ESCARDA FORECASTING Fundamental and applied biological sciences. Psychology Herbicides Herbs Hyperbolas LOGICIEL LOSSES MALEZAS MAUVAISE HERBE MODEL VALIDATION MODELE DE SIMULATION Modeling MODELOS DE SIMULACION NORTH CAROLINA Parasitic plants. Weeds Peanuts PERDIDAS PERTE Phytopathology. Animal pests. Plant and forest protection PLANT COMPETITION PRISE DE DECISION PROGRAMAS DE ORDENADOR RENDEMENT RENDEMENT DES CULTURES RENDIMIENTO RENDIMIENTO DE CULTIVOS SIMULATION MODELS TECHNIQUE DE PREVISION TECNICAS DE PREDICCION TOMA DE DECISIONES Weed competition WEED CONTROL WEEDS YIELDS |
| title | Validation of HERB for use in peanut (Arachis hypogaea) |
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