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| Registros recuperados : 4 | |
| 1. |  | QUINTANS, G.; JIMENEZ DE ARECHAGA, C.; LÓPEZ, C.; VELAZCO, J.I.; VIANA, S.; BRIAZO, D.; LÓPEZ, J.A. Ajuste de medidas de manejo luego de un diagnóstico de actividad ovárica en la mitad de entore. ln: INIA TACUAREMBÓ. UNIDAD EXPERIMENTAL "LA MAGNOLIA". Manejo de la cría vacuna en suelos arenosos. Día de Campo, abril 2006, Tacuarembó. Tacuarembó (Uruguay): INIA, 2006. p. 11-13 (INIA Serie Actividades de Difusión ; 445)| Biblioteca(s): INIA Tacuarembó. |
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| 2. | | BRIANO, D.; LOPEZ, J.A.; VIANA, S.; JIMENEZ DE ARECHAGA, C.; VELAZCO, J.; PEREYRA, F.; LOPEZ, C.; QUINTANS, G. Efecto de la aplicación de destete temporario en función de la actividad ovárica durante en entore sobre el porcentaje de preñez en vacas para carne. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. 245-246 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 3. | | QUINTANS, G.; JIMENEZ DE ARECHAGA, C.; VELAZCO, J.I.; PEREYRA, F.; BRIANO, D.; LÓPEZ, J.A.; VIANA, S.; LÓPEZ, C. Efecto de la aplicación del destete temporario en función de la actividad ovárica durante el entore sobre el porcentaje de preñez en vacas para carne. ln: Congreso Argentino de Producción Animal, 29. 2006, Mar del Plata, Argentina Mar del Plata (Argentina): Revista Argentina de Producción Animal, 2006. p. 308-309. Revista Argentina de Producción Animal, 2006, v.26, Supl. 1 s.p.| Biblioteca(s): INIA Treinta y Tres. |
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| 4. | | QUINTANS, G.; JIMENEZ DE ARECHAGA, C.; VELAZCO, J.I.; ROIG, G.; BRIANO, D.; LÓPEZ, J.A.; VIANA, S.; PEREYRA, F.; LÓPEZ, C. Efecto del destete temporario en función de la actividad ovárica sobre el porcentaje de preñez en vacas multíparas y primíparas Capítulo 3. Alternativas de manejo nutricional, control del amamantamiento y tratamientos hormonales durante el posparto. In: QUINTANS, G.; VELAZCO, J.I.; ROIG, G. (Eds.). Seminario de actualización técnica: cría vacuna. Montevideo (Uruguay): INIA, 2008. p. 165-171 (INIA Serie Técnica ; 174)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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| Registros recuperados : 4 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/07/2025 |
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Actualizado : |
17/07/2025 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
RIELLA, V.; LADO, B.; CONDON, F.; PRITSCH, C.; QUINCKE, M.; KAVANOVÁ, M.; GARCIA, R.; PEREIRA, F.; PEREZ, N.; CASTRO, A.; GUTIÉRREZ, L.; GERMAN, S.; SILVA, P. |
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Afiliación : |
VENANCIO RIELLA KOIFMANN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, 12900, Uruguay; BETTINA LADO, Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, 12900, Uruguay; FEDERICO CONDON PRIANO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0002-3374-3607; CLARA PRITSCH, Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, 12900, Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Depart. of Plant and Agroecosystems Sciences, University of Wisconsin-Madison, 1575 Linden Dr, Madison, United States; ORCID: https://orcid.org/0000-0001-8038-6967; MONIKA KAVANOVÁ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0001-6579-5914; RICHARD ANSELMO GARCIA USUCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO GUSTAVO PEREIRA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NOELIA NELIDA PEREZ CRUZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ARIEL CASTRO, Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, 12900, Uruguay; LUCÍA GUTIÉRREZ, Department of Plant and Agroecosystems Sciences, University of Wisconsin-Madison, 1575 Linden Dr, Madison, 53705, WI, United States; SILVIA ELISA GERMAN FAEDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ORCID: https://orcid.org/0000-0003-2655-2949. |
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Título : |
Wheat yellow rust in Uruguay: understanding the genetic resistance in a panel of breeding and commercial germplasm. (Original article). |
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Fecha de publicación : |
2025 |
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Fuente / Imprenta : |
Theoretical and Applied Genetics, 2025, Volume 138, Issue 7, article 145. https://doi.org/10.1007/s00122-025-04937-5 |
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ISSN : |
0040-5752 |
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DOI : |
https://doi.org/10.1007/s00122-025-04937-5 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 22 January 2025, Accepted 22 May 2025, Published online 11 June 2025. -- Corresponding author: V. Riella, Instituto Nacional de Investigación Agropecuaria (INIA), Sistema Agrícola-Ganadero, Estación Experimental La Estanzuela, Ruta 50, km 11, Colonia, 70006, Uruguay, Email: vriella@fagro.edu.uy -- Funding: This research was supported by the National Agency of Research and Innovation of Uruguay (ANII) through the INNOVAGRO program grant FSA_1_2018_1_152918 and POS_FSA_2019_2_1009141, the Sectoral Commission for Scientific Research of Uruguay (CSIC) through the research initiation program 22320200200059UD, and the Postgraduate Academic Commission (CAP) scholarship for completion of postgraduate studies. -- Publisher: Springer Science and Business Media Deutschland GmbH. -- Incluye Supplementary Information. |
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Contenido : |
ABSTRACT.- Key message: Eight QTL conferring additive APR to YR were identified in wheat germplasm using GWAS. The high accuracy of GP models supports the feasibility of accelerating breeding for YR resistance. Abstract: 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 (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, 7B, explaining 4.9-21.2% of the phenotypic variability. None of these regions were identified with seedling resistance to race Triticale2015b, the most widely virulent race, indicating that they conferred 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. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025. MenosABSTRACT.- Key message: Eight QTL conferring additive APR to YR were identified in wheat germplasm using GWAS. The high accuracy of GP models supports the feasibility of accelerating breeding for YR resistance. Abstract: 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 (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, 7B, explaining 4.9-21.2% of the phenotypic variability. None of these regions were identified with seedling resistance to race Triticale2015b, the most widely virulent race, indicating that they conferred adult-plant resistance. Moreover, these regions did not correspond to previously report... Presentar Todo |
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Palabras claves : |
Disease Resistance; FUNGI; INIA LA ESTANZUELA; Plant diseases; SISTEMA AGRÍCOLA-GANADERO - INIA; WHEAT. |
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Thesagro : |
Triticum aestivum L. |
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Asunto categoría : |
H20 Enfermedades de las plantas |
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Marc : |
LEADER 04037naa a2200385 a 4500
001 1065294
005 2025-07-17
008 2025 bl uuuu u00u1 u #d
022 $a0040-5752
024 7 $ahttps://doi.org/10.1007/s00122-025-04937-5$2DOI
100 1 $aRIELLA, V.
245 $aWheat yellow rust in Uruguay$bunderstanding the genetic resistance in a panel of breeding and commercial germplasm. (Original article).$h[electronic resource]
260 $c2025
500 $aArticle history: Received 22 January 2025, Accepted 22 May 2025, Published online 11 June 2025. -- Corresponding author: V. Riella, Instituto Nacional de Investigación Agropecuaria (INIA), Sistema Agrícola-Ganadero, Estación Experimental La Estanzuela, Ruta 50, km 11, Colonia, 70006, Uruguay, Email: vriella@fagro.edu.uy -- Funding: This research was supported by the National Agency of Research and Innovation of Uruguay (ANII) through the INNOVAGRO program grant FSA_1_2018_1_152918 and POS_FSA_2019_2_1009141, the Sectoral Commission for Scientific Research of Uruguay (CSIC) through the research initiation program 22320200200059UD, and the Postgraduate Academic Commission (CAP) scholarship for completion of postgraduate studies. -- Publisher: Springer Science and Business Media Deutschland GmbH. -- Incluye Supplementary Information.
520 $aABSTRACT.- Key message: Eight QTL conferring additive APR to YR were identified in wheat germplasm using GWAS. The high accuracy of GP models supports the feasibility of accelerating breeding for YR resistance. Abstract: 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 (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, 7B, explaining 4.9-21.2% of the phenotypic variability. None of these regions were identified with seedling resistance to race Triticale2015b, the most widely virulent race, indicating that they conferred 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. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
650 $aTriticum aestivum L
653 $aDisease Resistance
653 $aFUNGI
653 $aINIA LA ESTANZUELA
653 $aPlant diseases
653 $aSISTEMA AGRÍCOLA-GANADERO - INIA
653 $aWHEAT
700 1 $aLADO, B.
700 1 $aCONDON, F.
700 1 $aPRITSCH, C.
700 1 $aQUINCKE, M.
700 1 $aKAVANOVÁ, M.
700 1 $aGARCIA, R.
700 1 $aPEREIRA, F.
700 1 $aPEREZ, N.
700 1 $aCASTRO, A.
700 1 $aGUTIÉRREZ, L.
700 1 $aGERMAN, S.
700 1 $aSILVA, P.
773 $tTheoretical and Applied Genetics, 2025, Volume 138, Issue 7, article 145. https://doi.org/10.1007/s00122-025-04937-5
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