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Registros recuperados : 2 | |
1. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | RODRÍGUEZ, J.D.; PERIPOLLI, E.; LONDOÑO-GIL, M.; ESPIGOLAN, R.; LÔBO, R. B.; LÓPEZ-CORREA, R.; AGUILAR, I.; BALDI, F. Effect of minor allele frequency and density of single nucleotide polymorphism marker arrays on imputation performance and prediction ability using the single-step genomic Best Linear Unbiased Prediction in a simulated beef cattle population. Research paper. Animal Production Science. 2023, volume 63, issue 9, p. 844-852. https://doi.org/10.1071/AN21581 Article history: Submitted 1 December 2021, Accepted 1 March 2023, Published 4 April 2023. -- Correspondence to: Juan Diego Rodríguez,
Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrarias e Veterinárias, Departamento...Biblioteca(s): INIA Las Brujas. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso restrito al objeto digital](/consulta/web/img/lock.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
2. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | SILVA, R.P.; ESPIGOLAN, R.; BERTON, M.P.; STAFUZZA, N.B.; SANTOS, F.S.; NEGREIROS, M.P.; SCHUCHMANN, R.K.; RODRIGUEZ, J.D.; LÔBO, R.B.; BANCHERO, G.; PEREIRA, A.S.C.; BERGMANN, J.A.G.; BALDI, F. Genetic parameters and genomic regions associated with calving ease in primiparous Nellore heifers. Livestock Science, October 2020, Volume 240, Article number 104183. Doi: https://doi.org/10.1016/j.livsci.2020.104183 Article history: Received 19 February 2020 /Received in revised form 25 June 2020 /Accepted 1 August 2020/Available online 02 August 2020. /Corresponding author: E-mail address: fernandobaldiuy@gmail.com (F. Baldi). This work was...Biblioteca(s): INIA La Estanzuela. |
| ![Ver detalles del registro](/consulta/web/img/visualizar.png) ![Acceso restrito al objeto digital](/consulta/web/img/lock.png) ![Imprime registro en el formato completo](/consulta/web/img/print.png) |
Registros recuperados : 2 | |
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![](/consulta/web/img/deny.png) | 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 : |
28/07/2023 |
Actualizado : |
28/07/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
RODRÍGUEZ, J.D.; PERIPOLLI, E.; LONDOÑO-GIL, M.; ESPIGOLAN, R.; LÔBO, R. B.; LÓPEZ-CORREA, R.; AGUILAR, I.; BALDI, F. |
Afiliación : |
JUAN DIEGO RODRÍGUEZ, Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Universidade Estadual Paulista (Unesp), Jaboticabal, 14884-900, Brazil.; ELISA PERIPOLLI, Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Universidade Estadual Paulista (Unesp), Jaboticabal, 14884-900, Brazil; MARISOL LONDOÑO-GIL, Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Universidade Estadual Paulista (Unesp), Jaboticabal, 14884-900, Brazil; RAFAEL ESPIGOLAN, Faculdade de Zootecnia e Engenharia de Alimentos, Departamento de Medicina Veterinária, Universidade de São Paulo (Usp), Pirassununga, 13535-900, Brazil.; RAYSILDO BARBOSA LÔBO, Associação Nacional de Criadores e Pesquisadores, Ribeirão Preto, Brazil; RODRIGO LÓPEZ-CORREA, Facultad de Veterinaria, Departamento de Genética y Mejoramiento Animal, Universidad de la República, Montevideo, Uruguay; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Universidade Estadual Paulista (Unesp), Jaboticabal, 14884-900, Brazil. |
Título : |
Effect of minor allele frequency and density of single nucleotide polymorphism marker arrays on imputation performance and prediction ability using the single-step genomic Best Linear Unbiased Prediction in a simulated beef cattle population. |
Complemento del título : |
Research paper. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Animal Production Science. 2023, volume 63, issue 9, p. 844-852. https://doi.org/10.1071/AN21581 |
ISSN : |
1836-0939; eISSN: 1836-5787. |
DOI : |
10.1071/AN21581 |
Idioma : |
Inglés |
Notas : |
Article history: Submitted 1 December 2021, Accepted 1 March 2023, Published 4 April 2023. -- Correspondence to: Juan Diego Rodríguez,
Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Jaboticabal, 14884-900, Brazil. Email: juan.diego@unesp.br -- Handling Editor: Kim Bunter. -- |
Contenido : |
Context: In beef cattle populations, there is little evidence regarding the minimum number of genetic markers needed to obtain reliable genomic prediction and imputed genotypes.
Aims: This study aimed to evaluate the impact of single nucleotide polymorphism (SNP) marker density and minor allele frequency (MAF), on genomic predictions and imputation performance for high and low heritability traits using the single-step genomic Best Linear Unbiased Prediction methodology (ssGBLUP) in a simulated beef cattle population.
© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing |
Palabras claves : |
Bias; Bovine; Customised SNP arrays; Genomic selection; Imputation accuracy; Inflation; MAF; Simulation. |
Asunto categoría : |
L10 Genética y mejoramiento animal |
Marc : |
LEADER 02068naa a2200337 a 4500 001 1064277 005 2023-07-28 008 2023 bl uuuu u00u1 u #d 022 $a1836-0939; eISSN: 1836-5787. 024 7 $a10.1071/AN21581$2DOI 100 1 $aRODRÍGUEZ, J.D. 245 $aEffect of minor allele frequency and density of single nucleotide polymorphism marker arrays on imputation performance and prediction ability using the single-step genomic Best Linear Unbiased Prediction in a simulated beef cattle population.$h[electronic resource] 260 $c2023 500 $aArticle history: Submitted 1 December 2021, Accepted 1 March 2023, Published 4 April 2023. -- Correspondence to: Juan Diego Rodríguez, Universidade Estadual Paulista (Unesp), Faculdade de Ciências Agrarias e Veterinárias, Departamento de Zootecnia, Jaboticabal, 14884-900, Brazil. Email: juan.diego@unesp.br -- Handling Editor: Kim Bunter. -- 520 $aContext: In beef cattle populations, there is little evidence regarding the minimum number of genetic markers needed to obtain reliable genomic prediction and imputed genotypes. Aims: This study aimed to evaluate the impact of single nucleotide polymorphism (SNP) marker density and minor allele frequency (MAF), on genomic predictions and imputation performance for high and low heritability traits using the single-step genomic Best Linear Unbiased Prediction methodology (ssGBLUP) in a simulated beef cattle population. © 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing 653 $aBias 653 $aBovine 653 $aCustomised SNP arrays 653 $aGenomic selection 653 $aImputation accuracy 653 $aInflation 653 $aMAF 653 $aSimulation 700 1 $aPERIPOLLI, E. 700 1 $aLONDOÑO-GIL, M. 700 1 $aESPIGOLAN, R. 700 1 $aLÔBO, R. B. 700 1 $aLÓPEZ-CORREA, R. 700 1 $aAGUILAR, I. 700 1 $aBALDI, F. 773 $tAnimal Production Science. 2023, volume 63, issue 9, p. 844-852. https://doi.org/10.1071/AN21581
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