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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.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.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.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...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.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.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.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.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...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 2021Biblioteca(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/s41587-021-01058-4Biblioteca(s): INIA La Estanzuela. |
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Registros recuperados : 11 | |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha actual : |
14/11/2015 |
Actualizado : |
05/12/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MORA, F.; CASTILLO, D.; LADO, B.; MATUS, I.; POLAND, J.; BELZILE, F.; VON ZITZEWITZ, J.; DEL POZO, A. |
Afiliación : |
BETTINA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genome-wide association mapping of agronomic traits and carbon isotope discrimination in a worldwide germplasm collection of spring wheat using SNP markers. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Molecular Breeding, 2015, v,35, no.2, 12 p. |
ISSN : |
1380-3743 |
DOI : |
10.1007/s11032-015-0264-y |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions associated with complex traits in spring wheat were identified. Selection on these regions may increase the efficiency of the current breeding programs. Although most of the associations were environment specific, some stable associations were detected for Δ13C, KS, PH and TKW. Chromosomes 1A, 3A, 4A and 5A were the most important chromosomes, as they comprised quantitative trait loci (QTL) for Δ13C, a trait that can be used as an indirect tool for increased water-use efficiency in wheat. Environment-specific genomic regions were detected, indicating the presence of QTL-by-environment interaction. To produce suitable genotypes under contrasting water availability conditions, QTL × E interactions (and genotype-by-environment interaction) should be considered in the current spring wheat breeding program.
© 2015, Springer Science+Business Media Dordrecht. MenosABSTRACT.
Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions assoc... Presentar Todo |
Palabras claves : |
CARTOGRAFÍA GENÉTICA; ESTRÉS HÍDRICO; ESTRUCTURA GENÉTICA; LOCUS DE UN CARÁCTER CUANTITATIVO; MAPEO ASOCIATIVO; MAPEO DE QTLs; MAPEO POR ASOCIACIÓN; QTL; QUANTITATIVE TRAIT LOCI DETECTION. |
Thesagro : |
FITOMEJORAMIENTO; SEQUIA; TRIGO; TRITICUM AESTIVUM. |
Asunto categoría : |
-- F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 03527naa a2200385 a 4500 001 1053879 005 2018-12-05 008 2015 bl uuuu u00u1 u #d 022 $a1380-3743 024 7 $a10.1007/s11032-015-0264-y$2DOI 100 1 $aMORA, F. 245 $aGenome-wide association mapping of agronomic traits and carbon isotope discrimination in a worldwide germplasm collection of spring wheat using SNP markers.$h[electronic resource] 260 $c2015 520 $aABSTRACT. Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions associated with complex traits in spring wheat were identified. Selection on these regions may increase the efficiency of the current breeding programs. Although most of the associations were environment specific, some stable associations were detected for Δ13C, KS, PH and TKW. Chromosomes 1A, 3A, 4A and 5A were the most important chromosomes, as they comprised quantitative trait loci (QTL) for Δ13C, a trait that can be used as an indirect tool for increased water-use efficiency in wheat. Environment-specific genomic regions were detected, indicating the presence of QTL-by-environment interaction. To produce suitable genotypes under contrasting water availability conditions, QTL × E interactions (and genotype-by-environment interaction) should be considered in the current spring wheat breeding program. © 2015, Springer Science+Business Media Dordrecht. 650 $aFITOMEJORAMIENTO 650 $aSEQUIA 650 $aTRIGO 650 $aTRITICUM AESTIVUM 653 $aCARTOGRAFÍA GENÉTICA 653 $aESTRÉS HÍDRICO 653 $aESTRUCTURA GENÉTICA 653 $aLOCUS DE UN CARÁCTER CUANTITATIVO 653 $aMAPEO ASOCIATIVO 653 $aMAPEO DE QTLs 653 $aMAPEO POR ASOCIACIÓN 653 $aQTL 653 $aQUANTITATIVE TRAIT LOCI DETECTION 700 1 $aCASTILLO, D. 700 1 $aLADO, B. 700 1 $aMATUS, I. 700 1 $aPOLAND, J. 700 1 $aBELZILE, F. 700 1 $aVON ZITZEWITZ, J. 700 1 $aDEL POZO, A. 773 $tMolecular Breeding, 2015, v,35, no.2, 12 p.
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