Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel
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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Entomological Society of America
2022
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| Subjects: | |
| Online Access: | 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 |
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| author | 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_browse | Abudulai, Mumuni Arthur, Stephen Asibuo, James Y. Brandenburg, Rick L Brandford Mochiah, Moses Buol, Greg S Jordan, David L. Monguillot, Joaquín Humberto Nboyine, Jerry Oteng-Frimpong, Richard Paredes, Juan Andrés Reisig, Dominic Rhoads, James |
| 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_sort | Jordan, David L. |
| collection | INTA Digital |
| 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. |
| format | info:ar-repo/semantics/artículo |
| id | INTA13285 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Entomological Society of America |
| publisherStr | Entomological Society of America |
| record_format | dspace |
| spelling | INTA132852022-11-02T11:23:56Z Examples of Risk Tools for Pests in Peanut (Arachis hypogaea) Developed for Five Countries Using Microsoft Excel 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 Agronomy Crop Rotation Pesticides Arachis Hypogaea Plaguicidas Agronomía Rotación de Cultivos Cultivar Resistance Maní Decision Tool IPM-Agriculture Peanut 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 2022-11-02T11:15:40Z 2022-11-02T11:15:40Z 2022-08-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 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 eng 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) application/pdf Entomological Society of America Journal of Integrated Pest Management, Volume 13 (1) : 1-15 (2022) |
| spellingShingle | Agronomy Crop Rotation Pesticides Arachis Hypogaea Plaguicidas Agronomía Rotación de Cultivos Cultivar Resistance Maní Decision Tool IPM-Agriculture Peanut 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 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 |
| 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_short | 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 |
| topic | Agronomy Crop Rotation Pesticides Arachis Hypogaea Plaguicidas Agronomía Rotación de Cultivos Cultivar Resistance Maní Decision Tool IPM-Agriculture Peanut |
| 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 |
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