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 |
Archivos en este ítem:
archivo | Descripción | Tamaño | Formato | ||
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Riella et al., 2025 - 30-4-2025.pdf | Descargar | Articulo aceptado por TAG para publicación | 1.06 MB | Adobe PDF |
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Reconocimiento 4.0 Internacional. (CC BY)