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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 : |
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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INIA La Estanzuela (LE) |
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| Registros recuperados : 11 | |
| 1. |  | LADO,B.; BATTENFIELD, S.; POLAND, J.; QUINCKE, M.; SILVA, P.; GUTIÉRREZ, L. Comparación de metodologías de predicción de cruzamientos para rendimiento en trigo. MV 14 - COMUNICACIONES LIBRES - MV. MEJORAMIENTO VEGETAL In: JOURNAL OF BASIC & APPLIED GENETICS, 2016, Vol.27, Iss. 1 (Supp.). XVI LATIN AMERICAN CONGRESS OF GENETICS, IV CONGRESS OF THE URUGUAYAN SOCIETY OF GENETICS, XLIX ANNUAL MEETING OF THE GENETICS SOCIETY OF CHILE, XLV ARGENTINE CONGRESS OF GENETICS, 9-12 October 2016. PROCEEDINGS. Montevideo (Uruguay): SAG, 2016 p. 287.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA La Estanzuela. |
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| 2. | | LADO, B.; MATUS, I.; BELZILE, F.; POLAND, J.; QUINCKE, M.; CASTRO, M.; VON ZITZEWITZ, J. Genotipado por secuenciación en trigo (Triticum aestivum). In: JORNADAS DE LA SOCIEDAD DE BIOQUÍMICA Y BIOLOGÍA MOLECULAR , 8., SIMPOSIO BIOLOGÍA Y BIOTECNOLOGÍA VEGETAL, 11., 2013. Resumen. Montevideo: SBBM, SUB, 2013.| Tipo: Abstracts/Resúmenes |
| Biblioteca(s): INIA La Estanzuela. |
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| 3. | | 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.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 4. | | 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...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| 5. | | MORA, F.; CASTILLO, D.; LADO, B.; MATUS, I.; POLAND, J.; BELZILE, F.; VON ZITZEWITZ, J.; DEL POZO, A. Genome-wide association mapping of agronomic traits and carbon isotope discrimination in a worldwide germplasm collection of spring wheat using SNP markers. Molecular Breeding, 2015, v,35, no.2, 12 p.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 6. | | 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.| Tipo: Trabajos en Congresos/Conferencias |
| Biblioteca(s): INIA La Estanzuela. |
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| 7. | | LADO, B.; POLAND, J.; BELZILE, F.; DEL POZO, A.; MATUS, I.; RODRÍGUEZ, A.; INOSTROZA, L.; LOBOS, G.A.; CASTRO, M.; QUINCKE, M.; LANDECHEA, L.; VON ZITZEWITZ, J. Genotipado por secuenciación del genoma de 384 genotipos de T. aestivum para selección genómica. BAG. Journal of Basic and Applied Genetics ,Ciudad Autónoma de Buenos Aires, v.23, supl.1, p. 267, 2012.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : B - 3 |
| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | LADO, B.; MATUS, I.; RODRIGUEZ, A.; INOSTROZA, L.; POLAND, J.; BELZILE ,F.; DEL POZO, A.; QUINCKE, M.; CASTRO, M.; VON ZITZEWITZ, J. Increased genomic prediction accuracy in wheat breeding through spatial adjustment of field trial data. G3: Genes, Genomes, Genetics (Bethesda), v. 3, n,12, p. 2105-2114, 2013.OPEN ACCESS. Article history: Received 2013 Aug 26 // Accepted 2013 Sep 18.| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : B - 5 |
| Biblioteca(s): INIA La Estanzuela. |
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| 9. | | 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...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| 10. | | 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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| 11. | | GAURAV, K.; ARORA, S.; SILVA, P.; SÁNCHEZ-MARTÍN, J.; HORSNELL,R.; GAO, L.; BRAR ,G.S.; WIDRIG,V.; JOHN RAUPP,W.; SINGH, N.; WU, S.; KALE, S.M.; CHINOY, C.; NICHOLSON, P.; QUIROZ-CHÁVEZ, J.; SIMMONDS, J.; HAYTA, S.; SMEDLEY, M. A; HARWOOD, W.; PEARCE, S.; GILBERT, D.; KANGARA, N.; GARDENER, C.; FORNER-MARTÍNEZ, M.; LIU, J.; YU, G.; BODEN, S.A.; PASCUCCI, A.; GHOSH, S.; HAFEEZ, A.N.; O'HARA, T.; WAITES, J.; CHEEMA, J.; STEUERNAGEL, B.; PATPOUR, M.; JUSTESEN, A.F.; LIU, S.; RUDD, J. C.; AVNI, R.; SHARON, A.R; STEINER, B.; KIRANA, R.P.; BUERSTMAYR, H.; MEHRABI, A.A.; NASYROVA, F.Y.; CHAYUT, N.; MATNY, O.; STEFFENSON, B. J.; SANDHU, N.; CHHUNEJA, P.; LAGUDAH, E.; ELKOT, A.F.; TYRRELL, S.; BIAN, X.; DAVEY, R.P.; SIMONSEN, M.; SCHAUSER, L.; TIWARI, V.K.; RANDY KUTCHER, H.; HUCL, P.; LI, A.; LIU, D.C.; MAO, L.; XU, S.; BROWN-GUEDIRA, G.; FARIS, J.; DVORAK, J.; LUO, M.CH.; KRASILEVA, K.; LUX, T.; ARTMEIER, S.; MAYER, K. F. X.; UAUY, C.; MASCHER, M.; BENTLEY, A.R.; KELLER, B.; POLAND, J.; WULFF, B. B. H. Population genomic analysis of Aegilops tauschii identifies targets for bread wheat improvement. Nature Biotechnology, Volume 40, Pages 422-431, March 2022. Open Access. doi: https://doi.org/10.1038/s41587-021-01058-4| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 11 | |
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