Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel

Autores
Jordan, David L.; Buol, Greg S; Brandenburg, Rick L; Reisig, Dominic; Nboyine, Jerry; Abudulai, Mumuni; Oteng-Frimpong, Richard; Brandford Mochiah, Moses; Asibuo, James Y.; Arthur, Stephen; Paredes, Juan Andrés; Monguillot, Joaquín Humberto; Rhoads, James
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Suppressing pest populations below economically-damaging levels is an important element of sustainable peanut (Arachis hypogaea L.) production. Peanut farmers and their advisors often approach pest management with similar goals regardless of where they are located. Anticipating pest outbreaks using field history and monitoring pest populations are fundamental to protecting yield and financial investment. Microsoft Excel was used to develop individual risk indices for pests, a composite assessment of risk, and costs of risk mitigation practices for peanut in Argentina, Ghana, India, Malawi, and North Carolina (NC) in the United States (US). Depending on pests and resources available to manage pests, risk tools vary considerably, especially in the context of other crops that are grown in sequence with peanut, cultivars, and chemical inputs. In Argentina, India, and the US where more tools (e.g., mechanization and pesticides) are available, risk indices for a wide array of economically important pests were developed with the assumption that reducing risk to those pests likely will impact peanut yield in a positive manner. In Ghana and Malawi where fewer management tools are available, risks to yield and aflatoxin contamination are presented without risk indices for individual pests. The Microsoft Excel platform can be updated as new and additional information on effectiveness of management practices becomes apparent. Tools can be developed using this platform that are appropriate for their geography, environment, cropping systems, and pest complexes and management inputs that are available. In this article we present examples for the risk tool for each country.
Instituto de Patología Vegetal
Fil: Jordan, David L. North Carolina State University. Department of Crop and Soil Sciences; Estados Unidos
Fil: Buol, Greg S. North Carolina State University. Department of Crop and Soil Sciences; Estados Unidos
Fil: Brandenburg, Rick L. North Carolina State University. Department of Entomology and Plant Pathology; Estados Unidos
Fil: Reisig, Dominic. North Carolina State University. Department of Entomology and Plant Pathology; Estados Unidos
Fil: Nboyine, Jerry. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Abudulai, Mumuni. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Oteng-Frimpong, Richard.Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Brandford Mochiah, Moses.Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Asibuo, James Y. Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Arthur, Stephen. Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Rhoads, James. University of Georgia. Feed the Future Innovation Lab for Peanut; Estados Unidos
Fuente
Journal of Integrated Pest Management, Volume 13 (1) : 1-15 (2022)
Materia
Agronomy
Crop Rotation
Pesticides
Arachis Hypogaea
Plaguicidas
Agronomía
Rotación de Cultivos
Cultivar Resistance
Maní
Decision Tool
IPM-Agriculture
Peanut
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/13285
Acceder
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oai_identifier_str oai:localhost:20.500.12123/13285
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network_name_str INTA Digital (INTA)
spelling Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft ExcelJordan, David L.Buol, Greg SBrandenburg, Rick LReisig, DominicNboyine, JerryAbudulai, MumuniOteng-Frimpong, RichardBrandford Mochiah, MosesAsibuo, James Y.Arthur, StephenParedes, Juan AndrésMonguillot, Joaquín HumbertoRhoads, JamesAgronomyCrop RotationPesticidesArachis HypogaeaPlaguicidasAgronomíaRotación de CultivosCultivar ResistanceManíDecision ToolIPM-AgriculturePeanutSuppressing pest populations below economically-damaging levels is an important element of sustainable peanut (Arachis hypogaea L.) production. Peanut farmers and their advisors often approach pest management with similar goals regardless of where they are located. Anticipating pest outbreaks using field history and monitoring pest populations are fundamental to protecting yield and financial investment. Microsoft Excel was used to develop individual risk indices for pests, a composite assessment of risk, and costs of risk mitigation practices for peanut in Argentina, Ghana, India, Malawi, and North Carolina (NC) in the United States (US). Depending on pests and resources available to manage pests, risk tools vary considerably, especially in the context of other crops that are grown in sequence with peanut, cultivars, and chemical inputs. In Argentina, India, and the US where more tools (e.g., mechanization and pesticides) are available, risk indices for a wide array of economically important pests were developed with the assumption that reducing risk to those pests likely will impact peanut yield in a positive manner. In Ghana and Malawi where fewer management tools are available, risks to yield and aflatoxin contamination are presented without risk indices for individual pests. The Microsoft Excel platform can be updated as new and additional information on effectiveness of management practices becomes apparent. Tools can be developed using this platform that are appropriate for their geography, environment, cropping systems, and pest complexes and management inputs that are available. In this article we present examples for the risk tool for each country.Instituto de Patología VegetalFil: Jordan, David L. North Carolina State University. Department of Crop and Soil Sciences; Estados UnidosFil: Buol, Greg S. North Carolina State University. Department of Crop and Soil Sciences; Estados UnidosFil: Brandenburg, Rick L. North Carolina State University. Department of Entomology and Plant Pathology; Estados UnidosFil: Reisig, Dominic. North Carolina State University. Department of Entomology and Plant Pathology; Estados UnidosFil: Nboyine, Jerry. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; GhanaFil: Abudulai, Mumuni. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; GhanaFil: Oteng-Frimpong, Richard.Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; GhanaFil: Brandford Mochiah, Moses.Council for Scientific and Industrial Research. Crops Research Institute; GhanaFil: Asibuo, James Y. Council for Scientific and Industrial Research. Crops Research Institute; GhanaFil: Arthur, Stephen. Council for Scientific and Industrial Research. Crops Research Institute; GhanaFil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); ArgentinaFil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; ArgentinaFil: Rhoads, James. University of Georgia. Feed the Future Innovation Lab for Peanut; Estados UnidosEntomological Society of America2022-11-02T11:15:40Z2022-11-02T11:15:40Z2022-08-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/13285https://academic.oup.com/jipm/article/13/1/20/66546122155-7470 (online)https://doi.org/10.1093/jipm/pmac017Journal of Integrated Pest Management, Volume 13 (1) : 1-15 (2022)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-23T11:18:09Zoai:localhost:20.500.12123/13285instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-23 11:18:10.283INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
title Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
spellingShingle Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
Jordan, David L.
Agronomy
Crop Rotation
Pesticides
Arachis Hypogaea
Plaguicidas
Agronomía
Rotación de Cultivos
Cultivar Resistance
Maní
Decision Tool
IPM-Agriculture
Peanut
title_short Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
title_full Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
title_fullStr Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
title_full_unstemmed Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
title_sort Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
dc.creator.none.fl_str_mv Jordan, David L.
Buol, Greg S
Brandenburg, Rick L
Reisig, Dominic
Nboyine, Jerry
Abudulai, Mumuni
Oteng-Frimpong, Richard
Brandford Mochiah, Moses
Asibuo, James Y.
Arthur, Stephen
Paredes, Juan Andrés
Monguillot, Joaquín Humberto
Rhoads, James
author Jordan, David L.
author_facet Jordan, David L.
Buol, Greg S
Brandenburg, Rick L
Reisig, Dominic
Nboyine, Jerry
Abudulai, Mumuni
Oteng-Frimpong, Richard
Brandford Mochiah, Moses
Asibuo, James Y.
Arthur, Stephen
Paredes, Juan Andrés
Monguillot, Joaquín Humberto
Rhoads, James
author_role author
author2 Buol, Greg S
Brandenburg, Rick L
Reisig, Dominic
Nboyine, Jerry
Abudulai, Mumuni
Oteng-Frimpong, Richard
Brandford Mochiah, Moses
Asibuo, James Y.
Arthur, Stephen
Paredes, Juan Andrés
Monguillot, Joaquín Humberto
Rhoads, James
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Agronomy
Crop Rotation
Pesticides
Arachis Hypogaea
Plaguicidas
Agronomía
Rotación de Cultivos
Cultivar Resistance
Maní
Decision Tool
IPM-Agriculture
Peanut
topic Agronomy
Crop Rotation
Pesticides
Arachis Hypogaea
Plaguicidas
Agronomía
Rotación de Cultivos
Cultivar Resistance
Maní
Decision Tool
IPM-Agriculture
Peanut
dc.description.none.fl_txt_mv Suppressing pest populations below economically-damaging levels is an important element of sustainable peanut (Arachis hypogaea L.) production. Peanut farmers and their advisors often approach pest management with similar goals regardless of where they are located. Anticipating pest outbreaks using field history and monitoring pest populations are fundamental to protecting yield and financial investment. Microsoft Excel was used to develop individual risk indices for pests, a composite assessment of risk, and costs of risk mitigation practices for peanut in Argentina, Ghana, India, Malawi, and North Carolina (NC) in the United States (US). Depending on pests and resources available to manage pests, risk tools vary considerably, especially in the context of other crops that are grown in sequence with peanut, cultivars, and chemical inputs. In Argentina, India, and the US where more tools (e.g., mechanization and pesticides) are available, risk indices for a wide array of economically important pests were developed with the assumption that reducing risk to those pests likely will impact peanut yield in a positive manner. In Ghana and Malawi where fewer management tools are available, risks to yield and aflatoxin contamination are presented without risk indices for individual pests. The Microsoft Excel platform can be updated as new and additional information on effectiveness of management practices becomes apparent. Tools can be developed using this platform that are appropriate for their geography, environment, cropping systems, and pest complexes and management inputs that are available. In this article we present examples for the risk tool for each country.
Instituto de Patología Vegetal
Fil: Jordan, David L. North Carolina State University. Department of Crop and Soil Sciences; Estados Unidos
Fil: Buol, Greg S. North Carolina State University. Department of Crop and Soil Sciences; Estados Unidos
Fil: Brandenburg, Rick L. North Carolina State University. Department of Entomology and Plant Pathology; Estados Unidos
Fil: Reisig, Dominic. North Carolina State University. Department of Entomology and Plant Pathology; Estados Unidos
Fil: Nboyine, Jerry. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Abudulai, Mumuni. Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Oteng-Frimpong, Richard.Council for Scientific and Industrial Research. Savanna Agricultural Research Institute; Ghana
Fil: Brandford Mochiah, Moses.Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Asibuo, James Y. Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Arthur, Stephen. Council for Scientific and Industrial Research. Crops Research Institute; Ghana
Fil: Paredes, Juan Andrés. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Paredes, Juan Andrés. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Monguillot, Joaquín Humberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Fitopatología y Modelización Agrícola (UFyMA); Argentina
Fil: Monguillot, Joaquín Humberto. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Patología Vegetal; Argentina
Fil: Rhoads, James. University of Georgia. Feed the Future Innovation Lab for Peanut; Estados Unidos
description Suppressing pest populations below economically-damaging levels is an important element of sustainable peanut (Arachis hypogaea L.) production. Peanut farmers and their advisors often approach pest management with similar goals regardless of where they are located. Anticipating pest outbreaks using field history and monitoring pest populations are fundamental to protecting yield and financial investment. Microsoft Excel was used to develop individual risk indices for pests, a composite assessment of risk, and costs of risk mitigation practices for peanut in Argentina, Ghana, India, Malawi, and North Carolina (NC) in the United States (US). Depending on pests and resources available to manage pests, risk tools vary considerably, especially in the context of other crops that are grown in sequence with peanut, cultivars, and chemical inputs. In Argentina, India, and the US where more tools (e.g., mechanization and pesticides) are available, risk indices for a wide array of economically important pests were developed with the assumption that reducing risk to those pests likely will impact peanut yield in a positive manner. In Ghana and Malawi where fewer management tools are available, risks to yield and aflatoxin contamination are presented without risk indices for individual pests. The Microsoft Excel platform can be updated as new and additional information on effectiveness of management practices becomes apparent. Tools can be developed using this platform that are appropriate for their geography, environment, cropping systems, and pest complexes and management inputs that are available. In this article we present examples for the risk tool for each country.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-02T11:15:40Z
2022-11-02T11:15:40Z
2022-08-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/13285
https://academic.oup.com/jipm/article/13/1/20/6654612
2155-7470 (online)
https://doi.org/10.1093/jipm/pmac017
url http://hdl.handle.net/20.500.12123/13285
https://academic.oup.com/jipm/article/13/1/20/6654612
https://doi.org/10.1093/jipm/pmac017
identifier_str_mv 2155-7470 (online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Entomological Society of America
publisher.none.fl_str_mv Entomological Society of America
dc.source.none.fl_str_mv Journal of Integrated Pest Management, Volume 13 (1) : 1-15 (2022)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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