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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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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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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
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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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