Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina
Ramularia leaf spot (RLS), caused by the fungus Ramularia collo-cygni (Rcc), has become a threat to barley production in Argentina and the world, causing grain yield and quality losses. Characteristics of the pathogen such as a long latency period, high evolutionary potential, numerous transposonic...
| Autores principales: | , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Wiley
2025
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/21948 https://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.14056 https://doi.org/10.1111/ppa.14056 |
| _version_ | 1855038488612700160 |
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| author | Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal |
| author_browse | Cambareri, Matias Carmona, Marcelo Anibal Erreguerena, Ignacio Antonio Havis, Neil David Pereyra, Silvia Quiroz, Facundo Jose |
| author_facet | Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal |
| author_sort | Erreguerena, Ignacio Antonio |
| collection | INTA Digital |
| description | Ramularia leaf spot (RLS), caused by the fungus Ramularia collo-cygni (Rcc), has become a threat to barley production in Argentina and the world, causing grain yield and quality losses. Characteristics of the pathogen such as a long latency period, high evolutionary potential, numerous transposonic regions and the ability to infect alternative hosts facilitate Rcc adaption to environmental changes and/or control measures such as fungicides. RLS is considered a sporadic disease in Argentina and its occurrence is highly dependent on weather conditions. The objectives of this work were to quantify the impact of RLS on grain yield and its commercial quality, to establish an optimal protection period (PP) for barley with fungicides, and to describe the association between environmental variables and levels of RLS with the purpose of designing prediction models and more efficient protection strategies. Based on the results from field trials (n = 8), we estimated grain yield losses up to 16%, and these occurred due to reduced grain weight (8.7%) and size (20%). We also determined that the PP begins from the third detectable node (GS33) to first visible awns (GS49) and concluded that the flag leaf fully emerged stage (GS39) was the most efficient fungicide spraying time. Four possible forecast models were proposed based on the daily average temperature accumulated from early tillering (GS21) to GS39 stage, in combination with the number of days of soil water availability, number of days with water excess and duration of leaf wetness or accumulated rainfall from tillering to GS39 (n = 10). |
| format | info:ar-repo/semantics/artículo |
| id | INTA21948 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA219482025-04-08T12:27:16Z Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni Ramularia leaf spot (RLS), caused by the fungus Ramularia collo-cygni (Rcc), has become a threat to barley production in Argentina and the world, causing grain yield and quality losses. Characteristics of the pathogen such as a long latency period, high evolutionary potential, numerous transposonic regions and the ability to infect alternative hosts facilitate Rcc adaption to environmental changes and/or control measures such as fungicides. RLS is considered a sporadic disease in Argentina and its occurrence is highly dependent on weather conditions. The objectives of this work were to quantify the impact of RLS on grain yield and its commercial quality, to establish an optimal protection period (PP) for barley with fungicides, and to describe the association between environmental variables and levels of RLS with the purpose of designing prediction models and more efficient protection strategies. Based on the results from field trials (n = 8), we estimated grain yield losses up to 16%, and these occurred due to reduced grain weight (8.7%) and size (20%). We also determined that the PP begins from the third detectable node (GS33) to first visible awns (GS49) and concluded that the flag leaf fully emerged stage (GS39) was the most efficient fungicide spraying time. Four possible forecast models were proposed based on the daily average temperature accumulated from early tillering (GS21) to GS39 stage, in combination with the number of days of soil water availability, number of days with water excess and duration of leaf wetness or accumulated rainfall from tillering to GS39 (n = 10). EEA Manfredi Fil: Erreguerena, Ignacio Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentina Fil: Quiroz, Facundo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina Fil: Cambareri, Matías. Caburė AgTech; Argentina Fil: Pereyra, Silvia. Instituto Nacional de Investigación Agropecuaria (INIA). INIA La Estanzuela; Uruguay Fil: Havis, Neil David. Scotland’s Rural College. Crop and Soil Research Group; Reino Unido Fil: Carmona, Marcelo Anibal. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Fitopatología; Argentina 2025-04-08T12:24:12Z 2025-04-08T12:24:12Z 2025-04 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/21948 https://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.14056 0032-0862 1365-3059 https://doi.org/10.1111/ppa.14056 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 Wiley Plant Pathology 74 (3) : 858-872. (April 2025) |
| spellingShingle | Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title | Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title_full | Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title_fullStr | Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title_full_unstemmed | Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title_short | Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
| title_sort | assessing the impact of ramularia leaf spot on barley prospects for fungicide protection strategies and weather based prediction models in argentina |
| topic | Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni |
| url | http://hdl.handle.net/20.500.12123/21948 https://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.14056 https://doi.org/10.1111/ppa.14056 |
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