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| Registros recuperados : 5 | |
| 1. |  | BERTON, M. P.; DA SILVA, ROSIANE PEREIRA; BANCHERO, G.; MOURÃO, G. B.; FERRAZ, J. B. S.; SCHENKEL, F. S.; BALDI, F. Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep. Journal of Animal Breeding and Genetics, 2022, Volume 139, Issue 5, pages 502-516. doi: https://doi.org/10.1111/jbg.12682 Article history: Received 14 June 2021; Accepted 21 April 2022; First published 09 May 2022; Publisched online September 2022. -- Corresponding author: Berton, M.P.; Departamento de Zootecnia, Faculdade de Ciências Agrárias e...| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 2. | | LOURENCO, D.A.L.; FRAGOMENI, B.O.; BRADFORD, H.L.; MENEZES I.R.; FERRAZ, J.B.S.; AGUILAR, I.; MISZTAL, I. Implications of SNP weighting on single-step genomic predictions for different reference population sizes. Journal of Animal Breeding and Genetics, 2017, v. 134 (6), p. 463-471. 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...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | SILVA, S.D.L.; TAROUCO, J.U.; Ferraz, J.B.S.; GOMES, R.D.C.; LEME, P.R.; NAVAJAS, E.A. Prediction of retail beef yield, trim fat and proportion of high-valued cuts in nellore cattle using ultrasound live measurements. Revista Brasileira de Zootecnia, 2012, vol.41, no.9, p.2025-2031. Article history: Received October 20, 2011 / Accepted May 10, 2012.| Biblioteca(s): INIA Las Brujas. |
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| 4. | | CARVALHO, F.E.; ESPIGOLAN, R.; BERTON, M.P.; NETO, J.B.S.; SILVA, R.P.; GRIGOLETTO, L.; SILVA, R.M.O.; FERRAZ, J.B.S.; ELER, J.P.; AGUILAR, I.; LÔBO, R.B.; BALDI, F. Genome-wide association study and predictive ability for growth traits in Nellore cattle. Livestock Science, January 2020, Volume 231, Article number 103861. OPEN ACCESS. Doi: https://doi.org/10.1016/j.livsci.2019.103861 Article history: Received 25 June 2019 / Revised 29 October 2019 / Accepted 4 November 2019 / Available online 6 November 2019.
Funding information: F.E. CARVALHO received a scholarship from Coordinating for the Improvement of Higher...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | BERTON, MP.; DE OLIVEIRA SILVA, R.M.; PERIPOLLI, E.; STAFUZZA, N.B.; FERNÁNDEZ, J.; SAURA, S.; VILLANUEVA, B.; TORO, M.A.; BANCHERO, G.; OLIVEIRA, P.S.; ELER, J.P.; BALDI, F.; FERRAZ, J.B.S. Genomic regions and pathways associated with resistance to gastrointestinal parasites in tropical sheep breed. Journal of Animal Science, 2017, v.95, suppl.4.p.107.| Biblioteca(s): INIA La Estanzuela. |
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| Registros recuperados : 5 | |
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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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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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