03093naa a2200301 a 450000100080000000500110000800800410001902200140006002400270007410000230010124501780012426000090030250004620031152016680077365300110244165300210245265300190247365300280249265300230252065300260254365300380256970000180260770000180262570000160264370000170265970000190267677300960269510650512025-04-09       2025    bl uuuu     u00u1 u    #d  a0032-08627 a10.1111/ppa.140562DOI1 aERREGUERENA, I. A.  aAssessing the impact of Ramularia leaf spot on barleybprospects for fungicide protection strategies and weather-based prediction models in Argentina.h[electronic resource]  c2025  aArticle history: Received 15 August 2024, Revised 30 November 2024, Accepted 23 December 2024, First published 21 January 2025. -- Corresponding author: Erreguerena, I.A.; Plant Pathology-Crop Protection Group, National Institute of Agricultural Technology, Manfredi, Argentina; email:erreguerena.ignacio@inta.gob.ar -- Funding: This work was supported by the National Institute of Agricultural Technology (Argentina). -- Publisher: John Wiley and Sons Inc.  aABSTRACT.- 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). © 2025 British Society for Plant Pathology.  aBarley  aControl strategy  aForecast model  aFungicide spraying time  aPROTECCION VEGETAL  aRamularia collo-cygni  aSISTEMA AGRÍCOLA-GANADERO - INIA1 aQUIROZ, F. J.1 aCAMBARERI, M.1 aPEREYRA, S.1 aHAVIS, N. D.1 aCARMONA, M. A.  tPlant Pathology, 2025, Volume 74, Issue 3, Pages 858-872. https://doi.org/10.1111/ppa.14056