Título : WHEAT YELLOW RUST IN URUGUAY: UNDERSTANDING THE GENETIC RESISTANCE IN A PANEL OF BREEDING AND COMMERCIAL GERMPLASM
Autor(es) : Riella, Venancio
Lado, Bettina
Condón, Federico
Pritsch, Clara
Quincke, Martín
Kavanová, Monika
García, Richard
Pereira, Fernando
Pérez, Noelia
Castro, Ariel
Gutiérrez, Lucía
Germán, Silvia
Silva, Paula
Fecha de publicación : 22-may-2025
Tipo de publicación: Artículo
Versión: Aceptado
Publicado por: Springer
Publicado en: Theoretical and Applied Genetics
Areas del conocimiento : Ciencias Agrícolas
Biotecnología Agropecuaria
Otros descriptores : Puccinia striiformis
Genome-wide association study (GWAS)
Quantitative disease resistance
Genomic prediction (GP)
Resumen : Wheat yellow rust (YR), caused by Puccinia striiformis f. sp. tritici (Pst), is among the most devastating diseases affecting wheat worldwide. Since 2000, YR has expanded into regions where it was previously not considered an economically important disease. The deployment of YR-resistant cultivars remains the most effective and sustainable control strategy. We assembled a diverse mapping panel to (i) identify genomic regions associated with YR resistance using genome-wide association studies (GWAS), and (ii) assess the prediction accuracy of genomic prediction (GP) models for YR resistance. The panel of 366 wheat lines, including germplasm from INIA-Uruguay and other breeding programs, was phenotyped under artificial field inoculations in 2021 and 2022, and at the seedling stage using the same two Pst races used for field inoculations. GWAS identified eight genomic regions associated with field resistance, located on chromosomes 1B, 2B (three regions), 5B (two regions), 5D, and 6B, explaining 4.9 to 21.2% of the phenotypic variability. None of these regions were identified with seedling resistance to race Triticale2015b, the more virulent race, indicating that they confer adult-plant resistance. Moreover, these regions did not correspond to previously reported Yr genes. Two QTL on 2D and 3A were identified at the seedling stage to race Triticale2015a but did not contribute to field resistance. GP models achieved an average prediction ability of 0.64, highlighting their potential for accelerating the selection of resistant lines. These findings provide valuable insights into the genetic basis of YR and offer robust tools for enhancing YR resistance breeding efforts in wheat.
URI / Handle: https://hdl.handle.net/20.500.12381/4048
Recursos relacionados en REDI: https://hdl.handle.net/20.500.12381/4040
https://hdl.handle.net/20.500.12381/4029
https://hdl.handle.net/20.500.12381/4034
https://hdl.handle.net/20.500.12381/4033
https://hdl.handle.net/20.500.12381/4030
Institución responsable del proyecto: Instituto Nacional de Investigación Agropecuaria (INIA)
Financiadores: Agencia Nacional de Investigación e Innovación (ANII)
Instituto Nacional de Investigación Agropecuaria (INIA)
Identificador ANII: FSA_1_2018_1_152918
Nivel de Acceso: Acceso abierto
Licencia CC: Reconocimiento 4.0 Internacional. (CC BY)
Aparece en las colecciones: Publicaciones de ANII

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