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Registros recuperados : 5 | |
1. | | ZHANG, X.; LOURENCO, D.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 681. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681.Biblioteca(s): INIA Las Brujas. |
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2. | | ZHANG, X.; LOURENCO, D.; AGUILAR, I.; LEGARRA, A.; MISZTAL, I. Weighting strategies for single-step genomic BLUP: An iterative approach for accurate calculation of GEBV and GWAS. Frontiers in Genetics, 19 August 2016, Volume 7, Issue AUG, Article number 151. OPEN ACCESS Article history: Received 15 May 2016 // Accepted 04 August 2016 // Published 19 August 2016.
Specialty section:
This article was submitted to Statistical Genetics and Methodology, a section of the journal Frontiers in Genetics.Biblioteca(s): INIA Las Brujas. |
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3. | | MISZTAL, I.; WANG, H.; AGUILAR, I.; LEGARRA, A.; TSURUTA, S.; LOURENCO, D.; FRAGOMENI, B. O.; ZHANG, X.; MUIR, W. M.; CHENG, H. H.; OKIMOTO, R.; WING, T.; HAWKEN, R. R.; ZUMBACH, B.; FERNANDO, R. GWAS using ssGBLUP. Volume Species Breeding: Poultry, 325. In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.325.Biblioteca(s): INIA Las Brujas. |
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4. | | NEAL, A. L.; BARRAT, H. A.; BACQ-LEBREUIL, A.; QIN, Y.; ZHANG, X.; TAKAHASHI, T.; RUBIO, V.; HUGHES, D.; CLARK, I. M.; CÁRDENAS, L. M.; GARDINER, L. J.; KRISHNA, R.; GLENDINING, M. L.; RITZ, K.; MOONEY, S. J.; CRAWFORD, J. W. Arable soil nitrogen dynamics reflect organic inputs via the extended composite phenotype. Nature Food, 2023, Volume 4, Issue 1, Pages 51 - 60. doi: https://doi.org/10.1038/s43016-022-00671-z Article history: Received 04 February 2022; Accepted 14 November 2022; Published 23 December 2022. -- Corresponding author: Neal, A.L.; Net Zero and Resilient Farming, Rothamsted Research, North Wyke, United Kingdom;...Biblioteca(s): INIA Las Brujas. |
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5. | | LANGRIDGE, P.; ALAUX, M.; ALMEIDA, N.F.; AMMAR, K.; BAUM, M.; BEKKAOUI, F.; BENTLEY, A.R.; BERES, B.L.; BERGER, B.; BRAUN, H.-J.; BROWN-GUEDIRA, G.; BURT, C.J.; CACCAMO, M.J.; CATTIVELLI, L.; CHARMET, G.; CIVÁN, P.; CLOUTIER, S.; COHAN, J-P.; DEVAUX, P.; DOOHAN, F.M.; DRECCER, M.F.; FERRAHI, M.; GERMAN, S.; GOODWIN, S.B.; GRIFFITHS, S.; GUZMÁN, C.; HANDA, H.; HAWKESFORD, M.J.; HE, Z.; HUTTNER, E.; IKEDA, T.M.; KILIAN, B.; KING, I.P.; KING, J.; KIRKEGAARD, J.A.; LAGE, J.; LE GOUIS, J.; MONDAL, S.; MULLINS, E.; ORDON, F.; ORTIZ-MONASTERIO, J.I.; ÖZKAN, H.; ÖZTÜRK, I.; PEREYRA, S.; POZNIAK, C.J.; QUESNEVILLE, H.; QUINCKE, M.; REBETZKE, G.J.; CHRISTOPH REIF, J.; SAAVEDRA-BRAVO, T.; SCHURR, U.; SHARMA, S.; SINGH, S.K.; SINGH, R.P.; SNAPE, J.W.; TADESSE, W.; TSUJIMOTO, H.; TUBEROSA, R.; WILLIS, T.G.; ZHANG, X. Meeting the challenges facing wheat production: the strategic research agenda of the Global Wheat Initiative. Agronomy, 2022, volume 12, issue 11, 2767. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12112767 Article history: Received 26 September 2022; Revised 28 October 2022; Accepted 29 October 2022; Published 7 November 2022. -- Academic Editor: Andreas Katsiotis. -- Corresponding author: Langridge, P.; School of Agriculture, Food and...Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 5 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
ZHANG, X.; LOURENCO, D.; MISZTAL, I.; AGUILAR, I.; LEGARRA, A. |
Afiliación : |
XINYUE ZHANG, University of Georgia, Athens, Georgia, USA; DANIELA AL LOURENCO, University of Georgia, Athens, Georgia, USA; IGNACY MISZTAL, University of Georgia, Athens, Georgia, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, Institut National de la Recherche Agronomique (INRA), Castanet-Tolosan, France. |
Título : |
Weighted single-step genomic BLUP: an iterative approach for accurate calculation of GEBV and GWAS. |
Complemento del título : |
Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes (Posters), 681. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681. |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Three different procedures were implemented to calculate weights for a genomic relationship matrix to restrict the shrinkage along iterations of weighted single-step genomic BLUP (WssGBLUP). The procedures as well as BayesC were tested with 3 simulated data sets. Prediction accuracy for WssGBLUP improved at 2nd or 3rd iteration by updating only the top number of SNP equal to 1 × or 3 × the number of QTL; accuracy increased after 3rd iteration and remained stable by using weights proportional to 2pi(1- pi)ui2+ constant. Except in the 5 QTL scenario, accuracies with all WssGBLUP procedures were higher than with BayesC. Noise in Manhattan plots was small with 5 and 100 QTL but large with 500 QTL. |
Palabras claves : |
GWAS; WssGBLUP. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15446/1/Zhang-et-al.-2014.-WCGALP.pdf
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Marc : |
LEADER 01338nam a2200181 a 4500 001 1061922 005 2021-03-31 008 2014 bl uuuu u01u1 u #d 100 1 $aZHANG, X. 245 $aWeighted single-step genomic BLUP$ban iterative approach for accurate calculation of GEBV and GWAS.$h[electronic resource] 260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.681.$c2014 520 $aABSTRACT. Three different procedures were implemented to calculate weights for a genomic relationship matrix to restrict the shrinkage along iterations of weighted single-step genomic BLUP (WssGBLUP). The procedures as well as BayesC were tested with 3 simulated data sets. Prediction accuracy for WssGBLUP improved at 2nd or 3rd iteration by updating only the top number of SNP equal to 1 × or 3 × the number of QTL; accuracy increased after 3rd iteration and remained stable by using weights proportional to 2pi(1- pi)ui2+ constant. Except in the 5 QTL scenario, accuracies with all WssGBLUP procedures were higher than with BayesC. Noise in Manhattan plots was small with 5 and 100 QTL but large with 500 QTL. 653 $aGWAS 653 $aWssGBLUP 700 1 $aLOURENCO, D. 700 1 $aMISZTAL, I. 700 1 $aAGUILAR, I. 700 1 $aLEGARRA, A.
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INIA Las Brujas (LB) |
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