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| Registros recuperados : 21 | |
| 6. |  | 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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| 8. | | GERMÁN, S.; CAMPOS, P.; CHAVES, M.; MADARIAGA, R.; CERETTA, S.; HUERTA-ESPINO, J.; HERRERA-FOESSEL, S.; SINGH, R.P. Differential expression of partial resistance to wheat leaf rust in Mexico and the Southern Cone of America. In: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for biotic stresses; poster presentations. St. Petersburg: VIR, 2010. p. 285. Presentado originalmente en: INTERNATIONAL WHEAT CONFERENCE, 8., 2010, St. Petersburg, RU. Abstracts...: wheat genetics and breeding for biotic stresses; poster presentations. St. Petersburg: VIR, 2010. p. 285.| Biblioteca(s): INIA La Estanzuela. |
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| 9. | | 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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| 11. | | HUERTA-ESPINO, J..; SINGH, R.P.; GERMAN, S.; McCALLUM , B.D.; PARK , R.F.; CHEN, W.Q.; BHARDWAJ, S.C.; GOYEAU, H. Global status of wheat leaf rust caused by Puccinia triticina. Euphytica, v.179, n. 1, p. 143-160, 2011.| Biblioteca(s): INIA La Estanzuela. |
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| 12. | | GUTIÉRREZ, L.; CAPETTINI, F.; FROS, D.; GERMÁN, S.; HERRERA, S.; HUERTA-ESPINO, J.; PEREYRA, S.; PEREZ, S.; SANDOVAL-ISLAS, S.; SINGH, R.; CASTRO, A. Identifying disease resistance QTLs in barley germplasm from Latin America. In: INTERNATIONAL PLANT AND GENOME CONFERENCE, 19., 2011, San Diego, CA. [Abstracts]. [s.l.: INTLPAG], 2011.| Biblioteca(s): INIA La Estanzuela. |
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| 13. | | OSMAN, M.; HE, X.; SINGH, R.P.; DUVEILLER, E.; LILLEMO, M.; PEREYRA, S.; WESTERDIJK-HOKS, I.; KURUSHIMA, M.; YAU, S.-K.; BENEDETTELLI, S.; SINGH, P.K. Phenotypic and genotypic characterization of CIMMYT's 15th international Fusarium head blight screening nursery of wheat. Euphytica, 2015, v. 205, n. 2, p. 521-537. Article history: Received 27 August 2014 // Accepted 12 March 2015 // First Online 18 March 2015.
Electronic supplementary material. The online version of this article (doi:10.1007/s10681-015-1425-0) contains supplementary material, which...| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 14. | | LADO, B.; BATTENFIELD, S. D.; GUZMÁN, C.; QUINCKE, M.; SINGH, R. P.; DREISIGACKER, S.; PEÑA, R. J.; FRITZ, AL.; SILVA, P.; POLAND, J.; GUTIÉRREZ, L. Strategies for selecting crosses using genomic prediction in two wheat breeding programs. The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS Article history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017.
B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker.
This is an open access article distributed under...| Biblioteca(s): INIA Las Brujas. |
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| 15. | | CALVO-SALAZAR, V.; SINGH, R. P.; HUERTA-ESPINO, J.; CRUZ-IZ QUIERDO, S.; LOBATO-ORTIZ, R.; SANDOVAL-ISLAS, S.; VARGAS-HERNÁNDEZ, M.; GERMAN, S.; SILVA, P.; BASNET, B. R.; LAN, C. X.; HERRERA-FOESSEL, S. A. Genetic Analysis of Resistance to Leaf Rust and Yellow Rust in Spring Wheat Cultivar Kenya Kongoni. Plant Disease, v. 99, no.1153-1160, 2015. Article history: Accepted for publication 9 February 2015/Published Online:23 Jun 2015.| Biblioteca(s): INIA La Estanzuela. |
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| 16. | | GUTIÉRREZ, L.; BERBERIAN, N.; CAPETTINI, F.; FALCIONI, E.; FROS, D.; GERMAN, S.; HAYES, P. M.; HUERTA-ESPINO, J.; HERRERA, S.; PEREYRA, S.; PEREZ, C.; SANDOVAL-ISLAS, S.; SINGH, R.; CASTRO, A. Genome-wide association mapping identifies disease resistance QTLs in barley germplasm from Latin America: chapter 18. In: INTERNATIONAL BARLEY GENETICS SYMPOSIUM, 11., 2012, Hangzhou, CN. Advance in barley sciences: proceedings. Dordrecht: Zhejiang University Press/Springer, 2013. p. 209-215| Biblioteca(s): INIA La Estanzuela. |
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| 17. | | GUTIÉRREZ, L.; BERBERIAN, N.; CAPETTINI. F.; FALCIONI, E.; FROS, D.; GERMAN, S.; HAYES, P.; HUERTA-ESPINO, J.; HERRERA, S.; PEREYRA, S.; PEREZ, C.; SANDOVAL-ISLAS, S.; SINGH, R.; CASTRO, A. Identifying disease resistance QTLs in barley germplasm from Latin America using genome-wide association mapping. In: NORTH AMERICAN BARLEY RESEARCHERS WORKSHOP, 20., 2011, Corvallis, OR. Abstracts. Corvallis: OSU, 2011.| Biblioteca(s): INIA La Estanzuela. |
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| 18. | | GAO, L.; KOO, D.H.; JULIANA, P.; RIFE, T.; SINGH, D.; CRISTIANO LEMES DA SILVA; LUX, T.; DORN, K.M.; CLINESMITH, M.; SILVA, P.; WANG, X.; SPANNAGL, M.; MONAT, C.; FRIEBE, B.; STEUERNAGEL, B.; MUEHLBAUER, G.J.; WALKOWIAK, S.; POZNIAK, C.; SINGH, R.; STEIN, N.; MASCHER, M.; FRITZ, A.; POLAND, J. The Aegilops ventricosa 2N v S segment in bread wheat: cytology, genomics and breeding. Theoretical and Applied Genetics, volume 134, pag. 529?542, feb 2021. Open Access. Doi: https://doi.org/10.1007/s00122-020-03712-y Article history:Received: 22 June 2020 / Accepted: 17 October 2020/ Published:12 November 2020/ Issue Date:February 2021| Biblioteca(s): INIA La Estanzuela. |
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| 19. | | GUTIÉRREZ, L.; GERMAN, S.; PEREYRA, S.; HAYES, P.M.; PÉREZ, C.A.; CAPETTINI, F.; LOCATELLI, A.; BERBERIAN, N.M.; FALCONI, E.E.; ESTRADA, R.; DARIO FROS; GONZA, V.; ALTAMIRANO, H.; HUERTA-ESPINO, J.; NEYRA, E.; ORJEDA, G.; SANDOVAL-ISLAS, S.; SINGH, R.; TURKINGTON, K.; CASTRO, A.J. Multi-environment multi-QTL association mapping identifies disease resistance QTL in barley germplasm from Latin America. Theoretical Applied Genetics, 2015, v.128, n.3 p.501-516. Article history: Received 15 October 2014 / Accepted 17 December 2014 / First Online 30 December 2014.| Biblioteca(s): INIA La Estanzuela. |
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| 20. | | LEWIS ,C.M.; PERSOONS, A.; BEBBER, D.P.; KIGATHI, R.N.; MAINTZ, J.; FINDLAY, K.; BUENO-SANCHO, V.; CORREDOR-MORENO, P.; HARRINGTON, S.A.; KANGARA, N.; BERLIN, A.; GARCIA, R.; GERMAN, S.; HANZALOVÁ, A.; HODSON, D.P.; HOVMØLLER, M.S.; HUERTA-ESPINO, J.; IMTIAZ, M.; MIRZA, J.I.; JUSTESEN, A.F.; NIKS, R.E.; OMRANI, A.; PATPOUR, M.; PRETORIUS ,Z.A.; ROOHPARVAR, R.; SELA, H.; SINGH, R.P.; STEFFENSON ,B.; VISSER, B.; FENWICK, P.M.; THOMAS, J.; WULFF, B.B.H.; SAUNDERS, D.G.O. Potential for re-emergence of wheat stem rust in the United Kingdom. Veterinary Pathology [Vet Pathol], 2018 Sep 24, p. 300985818798117.OPEN ACCESS. Article history: Date Created: 20181002 //Latest Revision: 20181003.| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 21 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/07/2017 |
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Actualizado : |
20/02/2019 |
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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 : |
LADO, B.; BATTENFIELD, S. D.; GUZMÁN, C.; QUINCKE, M.; SINGH, R. P.; DREISIGACKER, S.; PEÑA, R. J.; FRITZ, AL.; SILVA, P.; POLAND, J.; GUTIÉRREZ, L. |
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Afiliación : |
BETTINA LADO, Statistics Dep., Facultad de Agronomía, Univ. de la República, Montevideo, Uruguay; SARAH D. BATTENFIELD, Kansas State University, Department of Plant Pathology, Manhattan, United States; CARLOS GUZMÁN, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; MARTIN CONRADO QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAVI PRAKASH SINGH, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; SUSANNE DREISIGACKER, Centro Internacional de Mejoramiento de Maiz y Trigo, Applied Biotechnology Center, Mexico City, Mexico; ROBERTO JAVIER PEÑA, Centro Internacional de Mejoramiento de Maiz y Trigo, Global Wheat Program, Mexico City, Mexico; ALLAN K. FRITZ, Kansas State University, Manhattan, United States; MARIA PAULA SILVA VILLELLA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JESSE A. POLAND, Kansas State University, Department of Plant Pathology and Department of Agronomy, Manhattan, United States; LUCÍA GUTIÉRREZ, Kansas State University, Department of Plant Pathology and Department of Agronomy, Manhattan, United States. |
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Título : |
Strategies for selecting crosses using genomic prediction in two wheat breeding programs. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
The Plant Genome, 2017, v.10, Issue 2, 12p. OPEN ACCESS |
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ISSN : |
1940-3372 |
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DOI : |
10.3835/plantgenome2016.12.0128 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017.
B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker.
This is an open access article distributed under the CC BY-NC-ND license. |
|
Contenido : |
ABSTRACT.
The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. 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.
© Crop Science Society of America |
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Palabras claves : |
GENOMIC SELECTION; WHEAT; WHEAT BREEDING PROGRAMS. |
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Thesagro : |
TRIGO. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12466/1/tpg-10-2-plantgenome2016.12.0128.pdf
https://dl.sciencesocieties.org/publications/tpg/articles/10/2/plantgenome2016.12.0128
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Marc : |
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245 $aStrategies for selecting crosses using genomic prediction in two wheat breeding programs.$h[electronic resource]
260 $c2017
500 $aArticle history: Received: Dec 14, 2016 // Accepted: Mar 18, 2017 // Published: July 6, 2017. B. Lado and S. Battenfield contributed equally.Assigned to Associate Editor Nicholas Tinker. This is an open access article distributed under the CC BY-NC-ND license.
520 $aABSTRACT. The single most important decision in plant breeding programs is the selection of appropriate crosses. The ideal cross would provide superior predicted progeny performance and enough diversity to maintain genetic gain. The aim of this study was to compare the best crosses predicted using combinations of mid-parent value and variance prediction accounting for linkage disequilibrium (VLD) or assuming linkage equilibrium (VLE). After predicting the mean and the variance of each cross, we selected crosses based on mid-parent value, the top 10% of the progeny, and weighted mean and variance within progenies for grain yield, grain protein content, mixing time, and loaf volume in two applied wheat (Triticum aestivum L.) breeding programs: Instituto Nacional de Investigación Agropecuaria (INIA) Uruguay and CIMMYT Mexico. Although the variance of the progeny is important to increase the chances of finding superior individuals from transgressive segregation, we observed that the mid-parent values of the crosses drove the genetic gain but the variance of the progeny had a small impact on genetic gain for grain yield. However, the relative importance of the variance of the progeny was larger for quality traits. 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. © Crop Science Society of America
650 $aTRIGO
653 $aGENOMIC SELECTION
653 $aWHEAT
653 $aWHEAT BREEDING PROGRAMS
700 1 $aBATTENFIELD, S. D.
700 1 $aGUZMÁN, C.
700 1 $aQUINCKE, M.
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700 1 $aDREISIGACKER, S.
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700 1 $aGUTIÉRREZ, L.
773 $tThe Plant Genome, 2017$gv.10, Issue 2, 12p. OPEN ACCESS
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