Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina
Junglerice (Echinochloa colona) is one of the most important annual weeds affecting crops in Argentina. A predictive seedling emergence model based on thermal time was developed and validated. Monitoring of seedling emergence was performed weekly during the growing season in a soybean field over fou...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Taylor & Francis
2020
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/7851 https://www.tandfonline.com/doi/abs/10.1080/09670874.2020.1778811 https://doi.org/10.1080/09670874.2020.1778811 |
| _version_ | 1855484088053399552 |
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| author | Picapietra, Gabriel González-Andújar, José L. Acciaresi, Horacio Abel |
| author_browse | Acciaresi, Horacio Abel González-Andújar, José L. Picapietra, Gabriel |
| author_facet | Picapietra, Gabriel González-Andújar, José L. Acciaresi, Horacio Abel |
| author_sort | Picapietra, Gabriel |
| collection | INTA Digital |
| description | Junglerice (Echinochloa colona) is one of the most important annual weeds affecting crops in Argentina. A predictive seedling emergence model based on thermal time was developed and validated. Monitoring of seedling emergence was performed weekly during the growing season in a soybean field over four years. Cumulative thermal time, expressed in growing degree days (GDD), was used as the independent variable for predicting cumulative emergence. The variations in mean air temperature between late August and early September have determined a period with a conserved pattern over the years. That period had a close linear relationship (r2 = 0.99) with the beginning of seedling emergence. A double-logistic model fitted junglerice seedling emergence better than Gompertz, Logistic or Weibull functions. Model validation showed a good performance in predicting the seedling emergence (r2 = 0.99). Based on findings of this study it is possible to predict junglerice emergence by air temperature and, thus, to contribute reliably to the rational management of this weed. |
| format | Artículo |
| id | INTA7851 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | dspace |
| spelling | INTA78512020-09-09T14:17:09Z Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina Picapietra, Gabriel González-Andújar, José L. Acciaresi, Horacio Abel Malezas Malezas Anuales Temperatura Ambiental Logística Vigilancia de Plagas Weeds Annual Weeds Environmental Temperature Logistics Pest Monitoring Región Pampeana Junglerice (Echinochloa colona) is one of the most important annual weeds affecting crops in Argentina. A predictive seedling emergence model based on thermal time was developed and validated. Monitoring of seedling emergence was performed weekly during the growing season in a soybean field over four years. Cumulative thermal time, expressed in growing degree days (GDD), was used as the independent variable for predicting cumulative emergence. The variations in mean air temperature between late August and early September have determined a period with a conserved pattern over the years. That period had a close linear relationship (r2 = 0.99) with the beginning of seedling emergence. A double-logistic model fitted junglerice seedling emergence better than Gompertz, Logistic or Weibull functions. Model validation showed a good performance in predicting the seedling emergence (r2 = 0.99). Based on findings of this study it is possible to predict junglerice emergence by air temperature and, thus, to contribute reliably to the rational management of this weed. EEA Pergamino Fil: Picapietra, Gabirel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina. Universidad Nacional del noroeste de la Provincia de Buenos Aires (UNNOBA). Escuela de Ciencias Agrarias, Naturales y Ambientales (ECANA); Argentina Fil: González-Andújar, José L. Instituto de Agricultura Sostenible (CSIC); España Fil: Acciaresi, Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Departamento de Malezas; Argentina. Comisión de Investigaciones Científicas de la provincia de Buenos Aires (CIC); Argentina 2020-09-09T13:44:26Z 2020-09-09T13:44:26Z 2020-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/7851 https://www.tandfonline.com/doi/abs/10.1080/09670874.2020.1778811 0967-0874 1366-5863 (Online) https://doi.org/10.1080/09670874.2020.1778811 eng info:eu-repo/semantics/restrictedAccess application/pdf Taylor & Francis International Journal of Pest Management (Published online: 12 Jun 2020) |
| spellingShingle | Malezas Malezas Anuales Temperatura Ambiental Logística Vigilancia de Plagas Weeds Annual Weeds Environmental Temperature Logistics Pest Monitoring Región Pampeana Picapietra, Gabriel González-Andújar, José L. Acciaresi, Horacio Abel Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title | Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title_full | Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title_fullStr | Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title_full_unstemmed | Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title_short | Predicting junglerice (Echinochloa colona L.) emergence as a function of thermal time in the humid pampas of Argentina |
| title_sort | predicting junglerice echinochloa colona l emergence as a function of thermal time in the humid pampas of argentina |
| topic | Malezas Malezas Anuales Temperatura Ambiental Logística Vigilancia de Plagas Weeds Annual Weeds Environmental Temperature Logistics Pest Monitoring Región Pampeana |
| url | http://hdl.handle.net/20.500.12123/7851 https://www.tandfonline.com/doi/abs/10.1080/09670874.2020.1778811 https://doi.org/10.1080/09670874.2020.1778811 |
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