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| Registros recuperados : 2 | |
| 1. |  | BOSCANA, A.; RACHETTI, M.; MUNKA, C.; GONZÁLEZ, A.; BUSSONI, A. Recomendaciones para la integración de forestaciones en predios ganaderos y lecheros familiares. Montevideo (Uruguay): CNFR, FAGRO,+TECNOLOGÍAS, 2020. 71 p. Colaboradores: Roberto Condon, Beatris Olivera y Ariel Artigalás. Alvaro Perdomo, Jorge Martínez, Mario Méndez y Ruben Mussini (productores predios de referencia) Iliana Garrone y Braulio Cantera (técnicos locales)| Biblioteca(s): INIA Treinta y Tres. |
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| 2. | | ESCUDERO, R.; SGANGA, J.C.; SAYAGUÉS LASO, L.; GRAF, E.; PEDOCCHI, R.; PETRINI, L.; MUNKA, C.; IRISITY, F.; MORÁS, G. Análisis de los efectos de algunos factores ambientales sobre la productividad de Eucalyptus globulus ssp. globulus. ln: INIA Tacuarembó. Programa Nacional de Investigación en Producción Forestal. Seminario Forestal, 27 de junio, INIA Las Brujas, 2002. Mejoramiento Genético, Silvicultura y Sanidad de Eucalyptus Globulus en la Región Sureste. Tacuarembó (Uruguay): INIA, 2002. p. 48-54 (INIA Serie Actividades de Difusión ; 289) Proyecto INIA FPTA 106, página 48.| Biblioteca(s): INIA Tacuarembó. |
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| Registros recuperados : 2 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
31/03/2021 |
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Actualizado : |
31/03/2021 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
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. |
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Afiliación : |
IGNACY MISZTAL, University of Georgia, Athens, GA, USA; H. WANG, Genus PIC, Hendersonville, TN; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, INRA, Toulouse, France; S. TSURUTA, University of Georgia, Athens, GA, USA; D.A.L. LOURENCO, University of Georgia, Athens, GA, USA; B. O. FRAGOMENI, University of Georgia, Athens, GA, USA; X. ZHANG, University of Georgia, Athens, GA, USA; W. M. MUIR, Purdue University, West Lafayette, IN, USA; H. H. CHENG, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. OKIMOTO, Cobb-Vantress Inc., Siloam Springs, AR, USA; T. WING, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. R. HAWKEN, Cobb-Vantress Inc., Siloam Springs, AR, USA; B. ZUMBACH, Cobb-Vantress Inc., Siloam Springs, AR, USA; R. FERNANDO, Department of Animal Science, Iowa State University, Ames, IA, USA. |
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Título : |
GWAS using ssGBLUP. |
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Complemento del título : |
Volume Species Breeding: Poultry, 325. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
In: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.325. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
This study aimed to compare results of genome-wide associations obtained from various methodologies for GWAS when applied to two lines of broiler chicken. Each line contained >250k birds with 3 traits and 5k SNP60k genotypes. Methods included single-step GWAS, single marker model and BayesB. Mannhattan plots were based on variances of 20-SNP segments, as shorter segments produced noisy plots. Only a few segments explained >1 % of the additive variance. One segment explained >20% variance in BayesB but 3% with ssGWAS and <1% with a single marker model. In two lines, no major segment overlapped for any trait. When analyses used slices of generations (1-3,2-4,3-5,1-5), variances for the same segment varied greatly. The plots were more distinct with a new data set that included >16k genotypes, but no segment explained >1% of the variance. Strength of associations strongly depends on methodologies and details of implementations. |
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Palabras claves : |
GWAS; SNP variance; SsGBLUP. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15454/1/Misztal-et-al.-2014.WCGALP.pdf
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Marc : |
LEADER 01803nam a2200313 a 4500
001 1061930
005 2021-03-31
008 2014 bl uuuu u01u1 u #d
100 1 $aMISZTAL, I.
245 $aGWAS using ssGBLUP.$h[electronic resource]
260 $aIn: Proceedings of the World Congress on Genetics Applied to Livestock Production, 10., Vancouver, BC, Canada, August 17-22, 2014. p.325.$c2014
520 $aABSTRACT. This study aimed to compare results of genome-wide associations obtained from various methodologies for GWAS when applied to two lines of broiler chicken. Each line contained >250k birds with 3 traits and 5k SNP60k genotypes. Methods included single-step GWAS, single marker model and BayesB. Mannhattan plots were based on variances of 20-SNP segments, as shorter segments produced noisy plots. Only a few segments explained >1 % of the additive variance. One segment explained >20% variance in BayesB but 3% with ssGWAS and <1% with a single marker model. In two lines, no major segment overlapped for any trait. When analyses used slices of generations (1-3,2-4,3-5,1-5), variances for the same segment varied greatly. The plots were more distinct with a new data set that included >16k genotypes, but no segment explained >1% of the variance. Strength of associations strongly depends on methodologies and details of implementations.
653 $aGWAS
653 $aSNP variance
653 $aSsGBLUP
700 1 $aWANG, H.
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aTSURUTA, S.
700 1 $aLOURENCO, D.
700 1 $aFRAGOMENI, B. O.
700 1 $aZHANG, X.
700 1 $aMUIR, W. M.
700 1 $aCHENG, H. H.
700 1 $aOKIMOTO, R.
700 1 $aWING, T.
700 1 $aHAWKEN, R. R.
700 1 $aZUMBACH, B.
700 1 $aFERNANDO, R.
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INIA Las Brujas (LB) |
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