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resumen

Resumen
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 [ver mas...]
dc.contributor.authorErreguerena, Ignacio Antonio
dc.contributor.authorQuiroz, Facundo Jose
dc.contributor.authorCambareri, Matias
dc.contributor.authorPereyra, Silvia
dc.contributor.authorHavis, Neil David
dc.contributor.authorCarmona, Marcelo Anibal
dc.date.accessioned2025-04-08T12:24:12Z
dc.date.available2025-04-08T12:24:12Z
dc.date.issued2025-04
dc.identifier.issn0032-0862
dc.identifier.issn1365-3059
dc.identifier.otherhttps://doi.org/10.1111/ppa.14056
dc.identifier.urihttp://hdl.handle.net/20.500.12123/21948
dc.identifier.urihttps://bsppjournals.onlinelibrary.wiley.com/doi/10.1111/ppa.14056
dc.description.abstractRamularia 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).eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherWileyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourcePlant Pathology 74 (3) : 858-872. (April 2025)es_AR
dc.subjectCebadaes_AR
dc.subjectBarleyeng
dc.subjectRamulariaeng
dc.subjectFungicidases_AR
dc.subjectFungicideseng
dc.subjectPronóstico del Tiempoes_AR
dc.subjectWeather Forecastingeng
dc.subjectHongoses_AR
dc.subjectFungieng
dc.subjectArgentina
dc.subject.otherRamularia collo-cygnieng
dc.titleAssessing the Impact of Ramularia Leaf Spot on Barley: Prospects for Fungicide Protection Strategies and Weather-Based Prediction Models in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenEEA Manfredies_AR
dc.description.filFil: Erreguerena, Ignacio Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Manfredi; Argentinaes_AR
dc.description.filFil: Quiroz, Facundo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentinaes_AR
dc.description.filFil: Cambareri, Matías. Caburė AgTech; Argentinaes_AR
dc.description.filFil: Pereyra, Silvia. Instituto Nacional de Investigación Agropecuaria (INIA). INIA La Estanzuela; Uruguayes_AR
dc.description.filFil: Havis, Neil David. Scotland’s Rural College. Crop and Soil Research Group; Reino Unidoes_AR
dc.description.filFil: Carmona, Marcelo Anibal. Universidad de Buenos Aires. Facultad de Agronomía. Catedra de Fitopatología; Argentinaes_AR
dc.subtypecientifico


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