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| Registros recuperados : 57 | |
| 21. |  | RIELLA, V.; RODRIGUEZ-ALGABA, J.; GARCIA, R.; PEREIRA, F.; SILVA, P.; HOVMOLLER, M.S.; GERMAN, S. P7. Evolución de la virulencia de la población de Puccinia striiformis f. sp. tritici en Uruguay. [Poster]. Posters. In: Sociedad Uruguaya de Fitopatología (SUFIT). Jornada Uruguaya de Fitopatología, 7., Jornada Uruguaya de Protección Vegetal, 5., 10 noviembre 2023, Montevideo, Uruguay. Libro de resúmenes. 30 años SUFIT, 1993-2023. Montevideo (UY): Sociedad Uruguay de Fitopatología (SUFIT), 2023. p. 34. Financiamiento: Agencia Nacional de Investigación e Innovación de Uruguay (ANII), Convocatoria INNOVAGRO, proyecto FSA_1_2018_1_152918. -- Autor correspondencia: e-mail: vriella@fagro.edu.uy| Biblioteca(s): INIA Las Brujas. |
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| 23. | | WANG, X.; SILVA, P.; BELLO, N.M.; SINGH, D.; EVERS, B.; SINGH, R.P.; POLAND, J. Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images. Frontiers in Plant Science, 21 October 2020, Volume 11, Article number 587093. Open Access. Doi: https://doi.org/10.3389/fpls.2020.587093 Article history: Received: 27 July 2020/ Accepted: 30 September 2020/Published: 21 October 2020.| Biblioteca(s): INIA La Estanzuela. |
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| 27. | | GERMAN, S.; DÍAZ DE ACKERMANN, M.; SILVA, P.; QUINCKE, M.; PEREYRA, S. Mejoramiento por resistencia a enfermedades de trigo en Uruguay. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p. 148-166. (INIA Serie Técnica; 241).| Biblioteca(s): INIA La Estanzuela. |
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| 28. | | GERMAN, S.; PEREYRA, S.; DIAZ DE ACKERMANN, M.; SILVA, P.; QUINCKE, M.; VÁZQUEZ, D. Mejoramiento por resistencia a enfermedades de trigo en Uruguay.[Presentación oral]. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: presentaciones; resúmenes. La Estanzuela, Colonia, UY: INIA, 2014. p. 45.| Biblioteca(s): INIA La Estanzuela. |
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| 30. | | GERMAN, S.; QUINCKE, M.; VÁZQUEZ, D.; CASTRO, M.; PEREYRA, S.; SILVA, P.; GARCIA, A. (Ed.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela." INIA La Estanzuela, 27-28-29 de agosto de 2014. Montevideo (UY): INIA, 2018. 307 p. (INIA Serie Técnica; 241) Editores y Comité Organizador: Silvia Germán, Martín Quincke, Daniel Vázquez, Marina Castro, Silvia Pereyra, Paula Silva, Adriana García.| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 31. | | LADO, B.; VÁZQUEZ, D.; QUINCKE, M.; SILVA, P.; AGUILAR, I.; GUTIÉRREZ, L. Resource allocation optimization with multi-trait genomic prediction for bread wheat (Triticum aestivum L.) baking quality. [Original article]. Theoretical and Applied Genetics, 1 December 2018, Volume 131, Issue 12, pp. 2719-2731. OPEN ACCESS. Article history: Received: 29 January 2018 / Accepted: 10 September 2018 / Published online: 19 September 2018.
Supplementary materials.
Acknowledgements: We express our appreciation for the effort of the technical personnel of INIA La...| Biblioteca(s): INIA Las Brujas. |
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| 32. | | SILVA, P.; TORRES-PUYO, C.; RODRÍGUEZ, S.; PEREYRA, S.; GAMBA, F.; PRITSCH, C. Variabilidad patogénica, diversidad genética y estructura poblacional de Cochliobulus sativus (anamorfo Bipolaris sorokiniana) en Uruguay. In: JORNADA BIANUAL DE FITOPATOLOGÍA, 2., 2012, Montevideo, UY. Impacto de la intensificación de los cultivos en el desarrollo de las enfermedades. Montevideo: SUFIT, 2012. p. 14.| Biblioteca(s): INIA La Estanzuela. |
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| 33. | | SILVA, P.; EVERS, B.; KIEFFABER, A.; WANG, X.; BROWN, R.; GAO, L.; FRITZ, A.; CRAIN, J.; POLAND, J. Applied phenomics and genomics for improving barley yellow dwarf resistance in winter wheat. G3 Genes| Genomes| Genetics, (Bethesda, Md.), 2022;, jkac064, Open Access. DOI:https://doi.org/10.1093/g3journal/jkac064 Article history: Received: 22 December 2021/Accepted: 12 March 2022/Published: 30 March 2022.
The Author(s) (2022) . Published by Oxford University Press on behalf of the Genetics Society of America. This is an Open Access article...| Biblioteca(s): INIA La Estanzuela. |
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| 34. | | SILVA, P.; LADO, B.; BRANDARIZ, S.; PEREYRA, S.; GERMAN, S.; VON ZITZEWITZ, J.; GUTIÉRREZ, L.; QUINCKE, M. Herramientas utilizadas y avances en mejoramiento molecular en el Programa de Mejoramiento Genético de Trigo de INIA Uruguay.[Presentación oral]. In: SEMINARIO INTERNACIONAL DE TRIGO, 2014, La Estanzuela, Colonia, UY. GERMÁN, S., et al. (Org.). 1914-2014, un siglo de mejoramiento de trigo en La Estanzuela: un valioso legado para el futuro: presentaciones; resúmenes. La Estanzuela, Colonia, UY: INIA, 2014. p. 81.| Biblioteca(s): INIA La Estanzuela. |
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| 35. | | SILVA, P.; LADO, B.; BRANDARIZ, S.; BERRO, I.; GUTIÉRREZ, L.; PEREYRA, S.; GERMAN, S.; VON ZITZEWITZ, J.; QUINCKE, M. Herramientas utilizadas y avances en mejoramiento molecular en el programa de mejoramiento genético de trigo de Inia Uruguay. In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. p. 277-285. (INIA Serie Técnica; 241).| Biblioteca(s): INIA La Estanzuela. |
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| 37. | | PÉREZ, O.; CAPURRO, M.C.; FASSIO, A.; SAWCHIK, J.; CLARIGET, J.; SCHUSSELIN, J.; SILVA, P.; MORALES, M. Producción y calidad de diferentes tipos de sorgo regados y pastoreados con novillos. In: Día de Campo Manejo de Cultivos de Verano en Secano y Bajo Riego (2014, INIA La Estanzuela, Uruguay). (Serie Actividades de Difusión; 729)| Biblioteca(s): INIA La Estanzuela. |
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| 38. | | LADO, B.; BATTENFIELD, S.; SILVA, P.; QUINCKE, M.; GUZMAN, C.; SINGH, R.P.; DREISIGACKER, S.; PEÑA, J.; FRITZ, A.; POLAND, J.; GUTIERREZ, L. Comparing strategies to select crosses using genomic prediction in two wheat breeding programs. In: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria. p.88-90.| Biblioteca(s): INIA La Estanzuela. |
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| 39. | | STIGGER, A. L.; ESTIMA-SILVA, P.; COELHO, A. C. B.; SANTOS, B. L.; MARCOLONGO-PEREIRA, C.; RIET-CORREA, F.; BRUHN, F. R. P.; SCHILD, A. L. Controle de Senecio madagascariensis e de Senecio brasiliensis pela utilização de pastejo com ovinos. (Control of Senecio madagascariensis and Senecio brasiliensis by the use of sheep.). Pesquisa Veterinária Brasileira, Rio de Janeiro v. 38, n. 1, p. 29-36, janeiro 2018. Article History: Recebido 9 de janeiro de 2017.// Aceito para publicação 31 de março de 2017.| Biblioteca(s): INIA La Estanzuela. |
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| 40. | | SILVA, P.; CALVO-SALAZAR, V.; CONDON, F.; QUINCKE, M.; PRITSCH, C.; GUTIÉRREZ, L.; CASTRO, A.; HERRERA-FOESSEL, S.; VON ZITZEWITZ, J.; GERMAN, S. Effects and interactions of genes Lr34, Lr68 and Sr2 on wheat leaf rust adult plant resistance in Uruguay Euphytica, 2015, v. 204, p. 599?608.| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
12/12/2017 |
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Actualizado : |
12/12/2017 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LADO, B.; BATTENFIELD, S.; SILVA, P.; QUINCKE, M.; GUZMAN, C.; SINGH, R.P.; DREISIGACKER, S.; PEÑA, J.; FRITZ, A.; POLAND, J.; GUTIERREZ, L. |
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Afiliación : |
BETTINA LADO, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; SARAH BATTENFIELD, AgriPro Wheat, Syngenta, 11783 Ascher Rd. Junction City, KS, 66441, USA.; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GUZMAN, CIMMYT, El Batan, Mexico, Mexico.; RAVI P. SINGH, CIMMYT, El Batan, Mexico, Mexico.; SUSANNE DREISIGACKER, CIMMYT, El Batan, Mexico, Mexico.; JAVIER PEÑA, CIMMYT, El Batan, Mexico, Mexico.; ALLAN FRITZ, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA; .; JESSE POLAND, Wheat Genetics Resource Center, Department of Plant Pathology, 1712 Claflin Rd., Kansas State University, Manhattan, KS 66506, USA.; LUCIA GUTIERREZ, Department of Agronomy, University of Wisconsin, 1575 Linden Dr., Madison, WI 53706, USA. |
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Título : |
Comparing strategies to select crosses using genomic prediction in two wheat breeding programs. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
In: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria. |
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Páginas : |
p.88-90. |
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Idioma : |
Español |
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Contenido : |
Key message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed. MenosKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross.
In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2)... Presentar Todo |
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Palabras claves : |
WHEAT BREEDING PROGRAMS; WHEAT QUALITY. |
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Thesagro : |
MEJORAMIENTO GENETICO DE PLANTAS; TRIGO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 02689nam a2200289 a 4500
001 1057873
005 2017-12-12
008 2017 bl uuuu u01u1 u #d
100 1 $aLADO, B.
245 $aComparing strategies to select crosses using genomic prediction in two wheat breeding programs.
260 $aIn: International Wheat Genetics Symposium, 12, Tulln, Austria; April 23-28, 2017; BOKU: University of Natural Resources and Life Sciences, Vienna, Austria.$c2017
300 $ap.88-90.
520 $aKey message: Evaluation of crosses prediction methods with and without accounting for progeny variance. Mid-parent values was a much larger factor determining genetic gain than increasing the progeny variance of a cross. In wheat breeding programs, a critical decision is to determine crosses that have high probability to deliver progenies with higher genetics gains (Zhong & Jannink 2007, Bernardo 2014). We present an application of genomic models for predicting parental cross combinations for grain yield, grain protein, and loaf volume across two wheat-breeding programs, INIA-Uruguay and CIMMYT. We evaluated three methods for selecting the ?best? crosses based on (1) mid-parents, (2) top 10% of the progeny within a cross, and (3) maximizing mean and variance within progeny using thresholds. The last two methods were evaluated with the predicted variances obtained through progeny simulation using the PopVar (Mohammadi et al. 2015, Tiede et al. 2015) package in R software. The first two methods showed 82% of crosses in common for yield, 55% for loaf volume and 53% for grain protein, even though only the second method accounts for the variance of the progeny (Figure 1). While the expected variance of the progeny is important to increase chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses selected was a much larger factor determining genetic gain than increasing the progeny variance of a cross (Figure 2). Overall, the genomic resources and the statistical models are now available to plant breeders to predict both the performance of breeding lines per se as well as the value of progeny from any potential crosses, but further understanding on optimizing the cross combinations is needed.
650 $aMEJORAMIENTO GENETICO DE PLANTAS
650 $aTRIGO
653 $aWHEAT BREEDING PROGRAMS
653 $aWHEAT QUALITY
700 1 $aBATTENFIELD, S.
700 1 $aSILVA, P.
700 1 $aQUINCKE, M.
700 1 $aGUZMAN, C.
700 1 $aSINGH, R.P.
700 1 $aDREISIGACKER, S.
700 1 $aPEÑA, J.
700 1 $aFRITZ, A.
700 1 $aPOLAND, J.
700 1 $aGUTIERREZ, L.
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