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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
Fecha : |
26/10/2017 |
Actualizado : |
25/10/2019 |
Tipo de producción científica : |
Revista INIA |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) |
Título : |
Revista INIA Uruguay. (N° 50, Setiembre 2017). |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Montevideo (UY): INIA, 2017. |
Páginas : |
56 p. |
Serie : |
(Revista INIA; 50) |
ISSN : |
1510-9011 |
Idioma : |
Español |
Thesagro : |
ARROZ; BIOTECNOLOGIA; BOVINOS DE CARNE; CAMBIO CLIMATICO; CIENCIA; CITRUS; CLIMA; CLIMATOLOGIA; COMUNICACION; CONTROL DE ENFERMEDADES; CULTIVO; CULTIVOS DE GRANO; CULTIVOS DE SECANO; ENTOMOLOGIA; ESPECIES FORRAJERAS; EUCALYPTUS; EXPLOTACION AGRICOLA FAMILIAR; FITOPATOLOGIA; FORESTALES; FORRAJES; FRUTALES; FRUTICULTURA; GANADO BOVINO; GRANOS; GRAS; HORTALIZAS; HORTICULTURA; INIA; INNOVACION; INVESTIGACION; LECHERIA; LEGUMINOSAS FORRAJERAS; MANEJO DE CULTIVOS; MEJORAMIENTO ANIMAL; METEOROLOGIA; MICROBIOLOGIA; OVINOS; PASTURAS; PRODUCCION ANIMAL; PRODUCCION DE LANA; PRODUCCION LECHERA; REVISTA INIA 2017; SEMILLAS; SOJA; SUELOS; SUINOS; SUSTENTABILIDAD AMBIENTAL; TECNOLOGIA; TRANSFERENCIA DE TECNOLOGIA; VARIEDADES; VITICULTURA. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/7488/1/Revista-INIA-50.pdf
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Marc : |
LEADER 01885nam a2200745 a 4500 001 1057697 005 2019-10-25 008 2017 bl uuuu u00u1 u #d 022 $a1510-9011 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aRevista INIA Uruguay. (N° 50, Setiembre 2017). 260 $aMontevideo (UY): INIA$c2017 300 $a56 p. 490 $a(Revista INIA; 50) 650 $aARROZ 650 $aBIOTECNOLOGIA 650 $aBOVINOS DE CARNE 650 $aCAMBIO CLIMATICO 650 $aCIENCIA 650 $aCITRUS 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aCOMUNICACION 650 $aCONTROL DE ENFERMEDADES 650 $aCULTIVO 650 $aCULTIVOS DE GRANO 650 $aCULTIVOS DE SECANO 650 $aENTOMOLOGIA 650 $aESPECIES FORRAJERAS 650 $aEUCALYPTUS 650 $aEXPLOTACION AGRICOLA FAMILIAR 650 $aFITOPATOLOGIA 650 $aFORESTALES 650 $aFORRAJES 650 $aFRUTALES 650 $aFRUTICULTURA 650 $aGANADO BOVINO 650 $aGRANOS 650 $aGRAS 650 $aHORTALIZAS 650 $aHORTICULTURA 650 $aINIA 650 $aINNOVACION 650 $aINVESTIGACION 650 $aLECHERIA 650 $aLEGUMINOSAS FORRAJERAS 650 $aMANEJO DE CULTIVOS 650 $aMEJORAMIENTO ANIMAL 650 $aMETEOROLOGIA 650 $aMICROBIOLOGIA 650 $aOVINOS 650 $aPASTURAS 650 $aPRODUCCION ANIMAL 650 $aPRODUCCION DE LANA 650 $aPRODUCCION LECHERA 650 $aREVISTA INIA 2017 650 $aSEMILLAS 650 $aSOJA 650 $aSUELOS 650 $aSUINOS 650 $aSUSTENTABILIDAD AMBIENTAL 650 $aTECNOLOGIA 650 $aTRANSFERENCIA DE TECNOLOGIA 650 $aVARIEDADES 650 $aVITICULTURA
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Registro original : |
INIA Las Brujas (LB) |
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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 Las Brujas. |
Fecha actual : |
18/12/2017 |
Actualizado : |
15/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
LOURENCO, D.A.L.; FRAGOMENI, B.O.; BRADFORD, H.L.; MENEZES I.R.; FERRAZ, J.B.S.; AGUILAR, I.; MISZTAL, I. |
Afiliación : |
D.A.L. LOURENCO, Universidad de Georgia (UG); B.O. FRAGOMENI, Universidad de Georgia (UG); H.L. BRADFORD, Universidad de Georgia (UG); I.R. MENEZES, FZEA, University of Sao Paulo.; J.B.S. FERRAZ, FZEA, University of Sao Paulo.; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. MISZTAL, Universidad de Georgia (UG). |
Título : |
Implications of SNP weighting on single-step genomic predictions for different reference population sizes. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2017, v. 134 (6), p. 463-471. |
DOI : |
10.1111/jbg.12288 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 28 February 2017 / Accepted: 19 July 2017.
This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI) and by Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the US Department of Agriculture's National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers, and we thank Andra H. Nelson for assisting with data analysis. |
Contenido : |
ABSTRACT.
We investigated the importance of SNP weighting in populations with 2,000 to 25,000 genotyped animals. Populations were simulated with two effective sizes (20 or 100) and three numbers of QTL (10, 50 or 500). Pedigree information was available for six generations; phenotypes were recorded for the four middle generations. Animals from the last three generations were genotyped for 45,000 SNP. Single-step genomic BLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used to estimate genomic EBV using a genomic relationship matrix (G). The WssGBLUP performed better in small genotyped populations; however, any advantage for WssGBLUP was reduced or eliminated when more animals were genotyped. WssGBLUP had greater resolution for genome-wide association (GWA) as did increasing the number of genotyped animals. For few QTL, accuracy was greater for WssGBLUP than ssGBLUP; however, for many QTL, accuracy was the same for both methods. The largest genotyped set was used to assess the dimensionality of genomic information (number of effective SNP). The number of effective SNP was considerably less in weighted G than in unweighted G. Once the number of independent SNP is well represented in the genotyped population, the impact of SNP weighting becomes less important.
© 2017 Blackwell Verlag GmbH |
Palabras claves : |
ACCURAY; BAYES B; SNP WEIGHTING; VARIABLE SELECTION; WEIGTED SSGBLUP. |
Asunto categoría : |
-- |
Marc : |
LEADER 02612naa a2200277 a 4500 001 1057902 005 2019-10-15 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1111/jbg.12288$2DOI 100 1 $aLOURENCO, D.A.L. 245 $aImplications of SNP weighting on single-step genomic predictions for different reference population sizes.$h[electronic resource] 260 $c2017 500 $aArticle history: Received: 28 February 2017 / Accepted: 19 July 2017. This study was partially funded by the American Angus Association (St. Joseph, MO), Zoetis (Kalamazoo, MI) and by Agriculture and Food Research Initiative Competitive Grants no. 2015-67015-22936 from the US Department of Agriculture's National Institute of Food and Agriculture. We gratefully acknowledge the very helpful comments by the two anonymous reviewers, and we thank Andra H. Nelson for assisting with data analysis. 520 $aABSTRACT. We investigated the importance of SNP weighting in populations with 2,000 to 25,000 genotyped animals. Populations were simulated with two effective sizes (20 or 100) and three numbers of QTL (10, 50 or 500). Pedigree information was available for six generations; phenotypes were recorded for the four middle generations. Animals from the last three generations were genotyped for 45,000 SNP. Single-step genomic BLUP (ssGBLUP) and weighted ssGBLUP (WssGBLUP) were used to estimate genomic EBV using a genomic relationship matrix (G). The WssGBLUP performed better in small genotyped populations; however, any advantage for WssGBLUP was reduced or eliminated when more animals were genotyped. WssGBLUP had greater resolution for genome-wide association (GWA) as did increasing the number of genotyped animals. For few QTL, accuracy was greater for WssGBLUP than ssGBLUP; however, for many QTL, accuracy was the same for both methods. The largest genotyped set was used to assess the dimensionality of genomic information (number of effective SNP). The number of effective SNP was considerably less in weighted G than in unweighted G. Once the number of independent SNP is well represented in the genotyped population, the impact of SNP weighting becomes less important. © 2017 Blackwell Verlag GmbH 653 $aACCURAY 653 $aBAYES B 653 $aSNP WEIGHTING 653 $aVARIABLE SELECTION 653 $aWEIGTED SSGBLUP 700 1 $aFRAGOMENI, B.O. 700 1 $aBRADFORD, H.L. 700 1 $aMENEZES I.R. 700 1 $aFERRAZ, J.B.S. 700 1 $aAGUILAR, I. 700 1 $aMISZTAL, I. 773 $tJournal of Animal Breeding and Genetics, 2017$gv. 134 (6), p. 463-471.
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