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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
07/03/2016 |
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Actualizado : |
07/03/2016 |
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Autor : |
UNEEVEHR, L.J.; DUFF, B.; JULIANO, B.O. (Ed.). |
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Título : |
Consumer demand for rice grain quality. |
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Fecha de publicación : |
1992 |
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Fuente / Imprenta : |
Manila, (Philippines):IRRI; IDCR, 1992. |
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Páginas : |
248 p. |
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ISBN : |
971-22-0030-2 |
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Idioma : |
Inglés |
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Thesagro : |
ARROZ; CALIDAD DE GRANO; COMERCIO; OFERTA Y DEMANDA. |
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Asunto categoría : |
F03 Producción y tratamiento de semillas |
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Marc : |
LEADER 00485nam a2200193 a 4500
001 1054399
005 2016-03-07
008 1992 bl uuuu u00u1 u #d
020 $a971-22-0030-2
100 1 $aUNEEVEHR, L.J.
245 $aConsumer demand for rice grain quality.
260 $aManila, (Philippines):IRRI; IDCR$c1992
300 $a248 p.
650 $aARROZ
650 $aCALIDAD DE GRANO
650 $aCOMERCIO
650 $aOFERTA Y DEMANDA
700 1 $aDUFF, B.
700 1 $aJULIANO, B.O.
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Registro original : |
INIA Treinta y Tres (TT) |
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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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