Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina
Rice grain discoloration (RGD) is a disease of complex aetiology for which there are no resistant varieties. Due to the need to better define the environmental conditions that favour the disease, the aims of this work were to (i) identify the predominant fungi associated, (ii) determine the meteoro...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Wiley
2023
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| Online Access: | http://hdl.handle.net/20.500.12123/14372 https://onlinelibrary.wiley.com/doi/abs/10.1111/jph.13150 https://doi.org/10.1111/jph.13150 |
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| author | Dirchwolf, Pamela M. Moschini, Ricardo Carlos Gutierrez, Susana A. Carmona, Marcelo Anibal |
| author_browse | Carmona, Marcelo Anibal Dirchwolf, Pamela M. Gutierrez, Susana A. Moschini, Ricardo Carlos |
| author_facet | Dirchwolf, Pamela M. Moschini, Ricardo Carlos Gutierrez, Susana A. Carmona, Marcelo Anibal |
| author_sort | Dirchwolf, Pamela M. |
| collection | INTA Digital |
| description | Rice grain discoloration (RGD) is a disease of complex aetiology for which there are no resistant varieties. Due to the need to better define the environmental conditions that favour the disease, the aims of this work were to (i) identify the predominant
fungi associated, (ii) determine the meteorological variables most closely related, and (iii) develop preliminary weather-based
models to predict binary levels of RGD incidence. After analysing 123 rice grain samples under natural infection conditions from
rice-cropping regions throughout Corrientes province, Argentina, we found that RGD was mainly associated with Alternaria padwickii (14.2%) and Microdochium albescens (13.7%). The strongest associations between weather variables and RGD incidence were observed in a susceptible critical period (Scp) that extended from the rice flowering stage until 870 accumulated degree days (Scp lasting 32 days, ±7 days). The binary response logistic model including the weather variables DPrecT (which combined the effect of the simultaneous daily occurrence of precipitation lower than 12 mm and air temperature between 13 and 28°C), and DDMnT (sum of the exceeding amounts of daily min temperature from 23°C), was the most appropriate, showing prediction accuracy (PA) values of 84.6%. The univariate model that included DPrecT presented a PA of 82.1%. The logistic regression techniques here used to develop weather-based models to estimate the probabilities of occurrence of binary levels of RGD can not only help to clarify and quantify the environmental effect on the development of RGD but also be useful tools to be included in future management strategies. |
| format | info:ar-repo/semantics/artículo |
| id | INTA14372 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA143722024-03-20T11:09:48Z Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina Dirchwolf, Pamela M. Moschini, Ricardo Carlos Gutierrez, Susana A. Carmona, Marcelo Anibal Alternaria Análisis Logit Monographella nivalis Logit Analysis Alternaria padwickii Microdochium albescens Variables Meteorológicas Weather Variables Corrientes, Argentina Rice grain discoloration (RGD) is a disease of complex aetiology for which there are no resistant varieties. Due to the need to better define the environmental conditions that favour the disease, the aims of this work were to (i) identify the predominant fungi associated, (ii) determine the meteorological variables most closely related, and (iii) develop preliminary weather-based models to predict binary levels of RGD incidence. After analysing 123 rice grain samples under natural infection conditions from rice-cropping regions throughout Corrientes province, Argentina, we found that RGD was mainly associated with Alternaria padwickii (14.2%) and Microdochium albescens (13.7%). The strongest associations between weather variables and RGD incidence were observed in a susceptible critical period (Scp) that extended from the rice flowering stage until 870 accumulated degree days (Scp lasting 32 days, ±7 days). The binary response logistic model including the weather variables DPrecT (which combined the effect of the simultaneous daily occurrence of precipitation lower than 12 mm and air temperature between 13 and 28°C), and DDMnT (sum of the exceeding amounts of daily min temperature from 23°C), was the most appropriate, showing prediction accuracy (PA) values of 84.6%. The univariate model that included DPrecT presented a PA of 82.1%. The logistic regression techniques here used to develop weather-based models to estimate the probabilities of occurrence of binary levels of RGD can not only help to clarify and quantify the environmental effect on the development of RGD but also be useful tools to be included in future management strategies. Instituto de Clima y Agua Fil: Dirchwolf, Pamela M. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias. Laboratorio de Fitopatología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Moschini, Ricardo Carlos. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Gutierrez, Susana Alejandra. Universidad Nacional del Nordeste. Facultad de Ciencias Agrarias; Argentina Fil: Carmona, Marcelo Anibal. Universidad de Buenos Aires. Facultad de Agronomía. Cátedra de Fitopatología; Argentina 2023-03-31T10:24:01Z 2023-03-31T10:24:01Z 2023-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14372 https://onlinelibrary.wiley.com/doi/abs/10.1111/jph.13150 0185-3309 2007-8080 https://doi.org/10.1111/jph.13150 eng info:eu-repo/semantics/restrictedAccess 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 Corrientes .......... (province) (World, South America, Argentina) 1001210 Wiley Journal of Phytopathology 171 (1) : p. 12-22. (January 2023) |
| spellingShingle | Alternaria Análisis Logit Monographella nivalis Logit Analysis Alternaria padwickii Microdochium albescens Variables Meteorológicas Weather Variables Corrientes, Argentina Dirchwolf, Pamela M. Moschini, Ricardo Carlos Gutierrez, Susana A. Carmona, Marcelo Anibal Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title | Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title_full | Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title_fullStr | Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title_full_unstemmed | Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title_short | Modelling of the effects of environmental factors on rice grain discoloration incidence in Corrientes province, Argentina |
| title_sort | modelling of the effects of environmental factors on rice grain discoloration incidence in corrientes province argentina |
| topic | Alternaria Análisis Logit Monographella nivalis Logit Analysis Alternaria padwickii Microdochium albescens Variables Meteorológicas Weather Variables Corrientes, Argentina |
| url | http://hdl.handle.net/20.500.12123/14372 https://onlinelibrary.wiley.com/doi/abs/10.1111/jph.13150 https://doi.org/10.1111/jph.13150 |
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