Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina
- Autores
- Erreguerena, Ignacio Antonio; Quiroz, Facundo Jose; Cambareri, Matias; Pereyra, Silvia; Havis, Neil David; Carmona, Marcelo Anibal
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 - Fuente
- Plant Pathology 74 (3) : 858-872. (April 2025)
- Materia
-
Cebada
Fungicidas
Pronóstico del Tiempo
Hongos
Barley
Ramularia
Fungicides
Weather Forecasting
Fungi
Argentina
Ramularia collo-cygni - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/21948
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Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in ArgentinaErreguerena, Ignacio AntonioQuiroz, Facundo JoseCambareri, MatiasPereyra, SilviaHavis, Neil DavidCarmona, Marcelo AnibalCebadaFungicidasPronóstico del TiempoHongosBarleyRamulariaFungicidesWeather ForecastingFungiArgentinaRamularia collo-cygniRamularia 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 ManfrediFil: Erreguerena, Ignacio Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; ArgentinaFil: Quiroz, Facundo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Cambareri, Matías. Caburė AgTech; ArgentinaFil: Pereyra, Silvia. Instituto Nacional de Investigación Agropecuaria (INIA). INIA La Estanzuela; UruguayFil: Havis, Neil David. Scotland’s Rural College. Crop and Soil Research Group; Reino UnidoFil: Carmona, Marcelo Anibal. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Fitopatología; ArgentinaWiley2025-04-08T12:24:12Z2025-04-08T12:24:12Z2025-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/21948https://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.140560032-08621365-3059https://doi.org/10.1111/ppa.14056Plant Pathology 74 (3) : 858-872. (April 2025)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-04T09:51:00Zoai:localhost:20.500.12123/21948instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-04 09:51:00.864INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina Erreguerena, Ignacio Antonio Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni |
title_short |
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_sort |
Assessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentina |
dc.creator.none.fl_str_mv |
Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal |
author |
Erreguerena, Ignacio Antonio |
author_facet |
Erreguerena, Ignacio Antonio Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal |
author_role |
author |
author2 |
Quiroz, Facundo Jose Cambareri, Matias Pereyra, Silvia Havis, Neil David Carmona, Marcelo Anibal |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni |
topic |
Cebada Fungicidas Pronóstico del Tiempo Hongos Barley Ramularia Fungicides Weather Forecasting Fungi Argentina Ramularia collo-cygni |
dc.description.none.fl_txt_mv |
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 |
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). |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-04-08T12:24:12Z 2025-04-08T12:24:12Z 2025-04 |
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/20.500.12123/21948 https://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.14056 0032-0862 1365-3059 https://doi.org/10.1111/ppa.14056 |
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 |
identifier_str_mv |
0032-0862 1365-3059 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
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) |
eu_rights_str_mv |
restrictedAccess |
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 |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
Plant Pathology 74 (3) : 858-872. (April 2025) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
reponame_str |
INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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