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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
31/03/2021 |
Actualizado : |
31/03/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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. |
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. |
Título : |
GWAS using ssGBLUP. |
Complemento del título : |
Volume Species Breeding: Poultry, 325. |
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.325. |
Idioma : |
Inglés |
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. |
Palabras claves : |
GWAS; SNP variance; SsGBLUP. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
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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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
26/03/2020 |
Actualizado : |
26/03/2020 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
DOSTER, E.; ROVIRA, P.J.; NOYES, N.; BURGES, B.; YANG, X.; WEINROTH, M.; LINKE, L.; MAGNUSON, R.; JONES, K.; BOUCHER, C.; RUIZ, J.; MORLEY, P.; BELK, K. |
Afiliación : |
Colorado State University,; PABLO JUAN ROVIRA SANZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay // Colorado State University,; Colorado State University, USA.; Virginia Tech, Blacksburg, VA, USA,; Virginia Tech, Blacksburg, VA, USA,; Colorado State University, Fort Collins, CO, USA; Colorado State University, Fort Collins, CO, USA; Colorado State University, Fort Collins, CO, USA; University of Colorado Denver, Denver, CO, USA,; University of Florida, Gainesville, FL, USA.; University of Florida, Gainesville, FL, USA.; Colorado State University, Fort Collins, CO, USA; Colorado State University, Fort Collins, CO, USA. |
Título : |
Shotgun metagenomic detection of Salmonella enterica in feedlot cattle compared to aerobic culture and PCR techniques. [Abstract]. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
In: Conference of Research Workers in Animal Diseases, 2016. Chicago (USA): En línea |
Idioma : |
Inglés |
Palabras claves : |
METAGENÓMICA; SALMONELLA. |
Asunto categoría : |
L73 Enfermedades de los animales |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14343/1/Rovira-abstract.pdf
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Marc : |
LEADER 00806nam a2200265 a 4500 001 1060966 005 2020-03-26 008 2016 bl uuuu u01u1 u #d 100 1 $aDOSTER, E. 245 $aShotgun metagenomic detection of Salmonella enterica in feedlot cattle compared to aerobic culture and PCR techniques. [Abstract].$h[electronic resource] 260 $aIn: Conference of Research Workers in Animal Diseases, 2016. Chicago (USA): En línea$c2016 653 $aMETAGENÓMICA 653 $aSALMONELLA 700 1 $aROVIRA, P.J. 700 1 $aNOYES, N. 700 1 $aBURGES, B. 700 1 $aYANG, X. 700 1 $aWEINROTH, M. 700 1 $aLINKE, L. 700 1 $aMAGNUSON, R. 700 1 $aJONES, K. 700 1 $aBOUCHER, C. 700 1 $aRUIZ, J. 700 1 $aMORLEY, P. 700 1 $aBELK, K.
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