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| Registros recuperados : 24 | |
| 15. |  | Mederos, A.Casaretto, A.Ferreira, G.Bonino, J.Scremini, P. Evaluación de pérdidas productivas debidas a footrot en ovinos ln: Mederos, A.; Ferreira, G.; Montossi, F.; Bonino, J.; Casaretto, A.; Scremini, P.; Gil, A. Estudios sobre footrot ovino en el Uruguay: relevamiento de su prevalencia, evaluación de las pérdidas productivas y económicas. Tacuarembó (Uruguay): INIA, 2001. p. 9-15 (INIA Serie Actividades de Difusión ; 274)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 18. | | Bonino, J.Casaretto, A.Mederos, A.Ferreira, G.Gil, A. Relevamiento epidemiológico de la prevalencia de footrot en ovinos del Uruguay ln: Mederos, A.; Ferreira, G.; Montossi, F.; Bonino, J.; Casaretto, A.; Scremini, P.; Gil, A. Estudios sobre footrot ovino en el Uruguay: relevamiento de su prevalencia, evaluación de las pérdidas productivas y económicas. Tacuarembó (Uruguay): INIA, 2001. p. 1-8 (INIA Serie Actividades de Difusión ; 274)| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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| 20. | | BONINO, J.; CASARETTO, A.; MEDEROS, A.; FERREIRA, G.; GIL, A. Relevamiento epidemiológico de la prevalencia de footrot en ovinos del Uruguay ln: Bemhaja, M.; Pittaluga, O., eds. 30 años de investigación en suelos de areniscas, INIA Tacuarembó. Montevideo (Uruguay): INIA, 2006. p. 195-205 (INIA Serie Técnica ; 159)| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| Registros recuperados : 24 | |
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
18/12/2017 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
LOURENCO, D.A.L.; FRAGOMENI, B.O.; BRADFORD, H.L.; MENEZES I.R.; FERRAZ, J.B.S.; AGUILAR, I.; MISZTAL, I. |
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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). |
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Título : |
Implications of SNP weighting on single-step genomic predictions for different reference population sizes. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Journal of Animal Breeding and Genetics, 2017, v. 134 (6), p. 463-471. |
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DOI : |
10.1111/jbg.12288 |
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Idioma : |
Inglés |
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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. |
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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 |
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Palabras claves : |
ACCURAY; BAYES B; SNP WEIGHTING; VARIABLE SELECTION; WEIGTED SSGBLUP. |
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Asunto categoría : |
-- |
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Marc : |
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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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