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| 104. |  | FASSIO, A.; RODRIGUEZ, M.; IBAÑEZ, W.; PÉREZ, O.; CERETTA, S.; RESTAINO, E.; RABAZA, C.; VERGARA, G. Modelo de predicción para los estadios fenológicos del cultivo de soja. Nueva herramienta web. Revista INIA Uruguay, 2014, no. 39, p. 40-43 (Revista INIA; 39) Se incluye link de acceso a la nueva herramienta para pronosticar el estadio fenológico en soja y otros cultivos de verano, disponible en el sitio Web de INIA| Biblioteca(s): INIA La Estanzuela. |
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| 108. | | STEWART, S.; ROBERTSON, A.; WICKRAMASINGE, D.; DRAPER, M.; MICHEL, A.; DORRANCE, A.E. Population Structure among and within Iowa, Missouri, Ohio, and South Dakota Populations of Phytophthora sojae. Plant Disease, 2015, Accepted for publication. Posted online on 13 Jul 2015, First Look.| Biblioteca(s): INIA Las Brujas. |
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| 111. | | LARZABAL, J.; YAMANAKA, N.; RODRIGUEZ, M.; CERETTA, S.; STEWART, S. Mejoramiento genético por resistencia a roya asiática en soja. In: Sociedad Uruguaya de Fitopatología Jornada Uruguaya de Fitopatología, 6., Jornada Uruguaya de Protección Vegetal, 4., 21-22 octubre, 2021, Montevideo, Uruguay. Libro de resúmenes. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2021. p. 45 Financiamiento: Parcial por JIRCAS Research project "Development of technologies for the control of migratory plant pest and transboundary diseases".| Biblioteca(s): INIA Treinta y Tres. |
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| 120. | | BARLOCCO, C.; MAYANS, M.; MORTALENA, M.; LOPEZ, V.; BEYHAUT, E. Sistema uruguayo de fiscalización de inoculantes: complementación interinstitucional. P16. [abstract + poster]. Módulo 5: Desarrollos y perspectivas de empresas productoras y usuarias de bioinsumos. In: Abreo, E.; Beyhaut, E.; Rivas, F. (Eds.). Simposio Microorganismos para la Agricultura, 2. [Resúmenes y Posters]. Canelones (UY): INIA, 2022. p.43. (Serie Actividades de Difusión; 801).| Biblioteca(s): INIA Las Brujas. |
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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 : |
19/11/2015 |
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Actualizado : |
19/11/2015 |
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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 : |
STEWART, S.; ROBERTSON, A.; WICKRAMASINGE, D.; DRAPER, M.; MICHEL, A.; DORRANCE, A.E. |
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Afiliación : |
SILVINA MARIA STEWART SONEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALISON ROBERTSON, Universidad de Iowa State (ISU); DAMITHA WICKRAMASINGHE, Universidad de Ohio (OSU); MARTIN DRAPER, USDA/NIFA (National Institute of Food and Agriculture); ANDY MICHEL, Universidad de Iowa State (ISU); ANNE E. DORRANCE, Universidad de Ohio (OSU). |
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Título : |
Population Structure among and within Iowa, Missouri, Ohio, and South Dakota Populations of Phytophthora sojae. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Plant Disease, 2015, Accepted for publication. |
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ISSN : |
0191-2917 |
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DOI : |
http://dx.doi.org/10.1094/PDIS-04-15-0437-RE |
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Idioma : |
Inglés |
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Notas : |
Posted online on 13 Jul 2015, First Look. |
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Contenido : |
ABSTRACT.
Phytophthora root and stem rot caused by Phytophthora sojae is an economically important disease of soybean throughout the Midwestern United States. This disease has been successfully managed with resistance (Rps) genes, however, pathogen populations throughout the Midwest have developed virulence to many (Rps genes including those that have not been deployed. To gain a better understanding of the processes that influence P. sojae evolution, the population genetic structure was compared among populations using one isolate collected from 17, 33, and 20 fields in Iowa, Ohio, and South Dakota, respectively, as well as multiple isolates from individual fields in Iowa, Ohio, and Missouri. Genotypic diversity was measured using 21 polymorphic microsatellite markers (SSRs) and pathotype diversity used 15 soybean differentials. For all but three of the populations with low sample size, there was a high level of pathotype diversity and a low to moderate level of genotypic diversity among the populations for both comparisons between states and within field variation. None of the (Rps-gene differentials were resistant to all of the isolates. There were 103 multi locus genotypes identified in this study and only two were identified from the same field. Although no clones were identified in more than one field, pairwise FST indicated that some gene flow within neighboring fields does occur but not across the region, including fields from neighboring states. These results suggest that there is a strong probability that each state may have their own or several regional populations as well as provide further evidence of high diversity within this homothallic pathogen which may be due in part to limited gene flow, mutation or outcrossing and this likely affect the success of deployment of resistance. MenosABSTRACT.
Phytophthora root and stem rot caused by Phytophthora sojae is an economically important disease of soybean throughout the Midwestern United States. This disease has been successfully managed with resistance (Rps) genes, however, pathogen populations throughout the Midwest have developed virulence to many (Rps genes including those that have not been deployed. To gain a better understanding of the processes that influence P. sojae evolution, the population genetic structure was compared among populations using one isolate collected from 17, 33, and 20 fields in Iowa, Ohio, and South Dakota, respectively, as well as multiple isolates from individual fields in Iowa, Ohio, and Missouri. Genotypic diversity was measured using 21 polymorphic microsatellite markers (SSRs) and pathotype diversity used 15 soybean differentials. For all but three of the populations with low sample size, there was a high level of pathotype diversity and a low to moderate level of genotypic diversity among the populations for both comparisons between states and within field variation. None of the (Rps-gene differentials were resistant to all of the isolates. There were 103 multi locus genotypes identified in this study and only two were identified from the same field. Although no clones were identified in more than one field, pairwise FST indicated that some gene flow within neighboring fields does occur but not across the region, including fields from neighboring states. These results sugge... Presentar Todo |
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Palabras claves : |
PHYTOPTHORA SOJAE. |
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Thesagro : |
PHYTOPHTHORA; SOJA. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02610naa a2200253 a 4500
001 1053951
005 2015-11-19
008 2015 bl uuuu u00u1 u #d
022 $a0191-2917
024 7 $ahttp://dx.doi.org/10.1094/PDIS-04-15-0437-RE$2DOI
100 1 $aSTEWART, S.
245 $aPopulation Structure among and within Iowa, Missouri, Ohio, and South Dakota Populations of Phytophthora sojae.$h[electronic resource]
260 $c2015
500 $aPosted online on 13 Jul 2015, First Look.
520 $aABSTRACT. Phytophthora root and stem rot caused by Phytophthora sojae is an economically important disease of soybean throughout the Midwestern United States. This disease has been successfully managed with resistance (Rps) genes, however, pathogen populations throughout the Midwest have developed virulence to many (Rps genes including those that have not been deployed. To gain a better understanding of the processes that influence P. sojae evolution, the population genetic structure was compared among populations using one isolate collected from 17, 33, and 20 fields in Iowa, Ohio, and South Dakota, respectively, as well as multiple isolates from individual fields in Iowa, Ohio, and Missouri. Genotypic diversity was measured using 21 polymorphic microsatellite markers (SSRs) and pathotype diversity used 15 soybean differentials. For all but three of the populations with low sample size, there was a high level of pathotype diversity and a low to moderate level of genotypic diversity among the populations for both comparisons between states and within field variation. None of the (Rps-gene differentials were resistant to all of the isolates. There were 103 multi locus genotypes identified in this study and only two were identified from the same field. Although no clones were identified in more than one field, pairwise FST indicated that some gene flow within neighboring fields does occur but not across the region, including fields from neighboring states. These results suggest that there is a strong probability that each state may have their own or several regional populations as well as provide further evidence of high diversity within this homothallic pathogen which may be due in part to limited gene flow, mutation or outcrossing and this likely affect the success of deployment of resistance.
650 $aPHYTOPHTHORA
650 $aSOJA
653 $aPHYTOPTHORA SOJAE
700 1 $aROBERTSON, A.
700 1 $aWICKRAMASINGE, D.
700 1 $aDRAPER, M.
700 1 $aMICHEL, A.
700 1 $aDORRANCE, A.E.
773 $tPlant Disease, 2015, Accepted for publication.
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