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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
28/07/2023 |
Actualizado : |
28/07/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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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1. | | TISCORNIA, G.; PORCILE, V.; BIDEGAIN, M.; DE LOS SANTOS, B.; DE BRUM RODRÍGUEZ, F.; VAN LIER, E.; OLIVERA, J.; CASARETTO, A.; MARCHELLI, J.; FIERRO, S.; SARAVIA, C.; DE BARBIERI, I. Comportamiento histórico del Índice de enfriamiento (Chill index) para ovinos durante la estación fria. Producción Animal. Revista INIA Uruguay, 2020, no. 61, p. 23-27. (Revista INIA; 61).Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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2. | | ALFONSO, M.; DE BARBIERI, I.; DE BRUM, F.; TISCORNIA, G.; SARAVIA, C.; VAN LIER, E.; OLIVERA, J.; CASARETTO, A.; MARCHELLI, J.; FIERRO, S.; BIDEGAIN, M.; DE LOS SANTOS, B. Previsión de condiciones ambientales para corderos recién nacidos. Revista INIA Uruguay, 2018, no. 53, p. 15-17. (Revista INIA; 53)Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Tacuarembó. |
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3. | | CECCOBELLI, S.; LANDI, V.; SENCZUK , G.; MASTRANGELO , S.; SARDINA , M.T.; BEN-JEMAA, S.; PERSICHILLI , C.; KARSLI , T.; BÂLTEANU, V.-A.; RASCHIA , M.A.; POLI, M.A.; CIAPPESONI, G.; MUCHADEYI , F.C.; DZOMBA, E.F.; KUNENE , N.W.; LÜHKEN, G.; DENISKOVA, T.E.; DOTSEV, A.V.; ZINOVIEVA , N.A.; ZSOLNAI , A.; ANTON , I.; KUSZA , S.; CAROLINO , N.; SANTOS-SILVA, F.; KAWECKA, A.; SWIATEK , M.; NIZNIKOWSKI , R.; SPEHAR , M.; ANAYA , G.; GRANERO , A.; PERLOIRO , T.; CARDOSO , P.; GRANDE , S.; LÓPEZ DE LOS SANTOS , B.; DANCHIN-BURGE , C.; PASQUINI , M.; MARTÍNEZ MARTÍNEZ , A.; DELGADO BERMEJO , J.V.; LASAGNA , E.; CIANI , E.; SARTI , F.M.; PILLA , F. A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds. Genetics, Selection, Evolution : GSE, 2023, volume 55, issue 1, article 24. OPEN ACCESS. doi: https://doi.org/10.1186/s12711-023-00797-z Article history: Received 27 July 2022; Accepted 24 March 2023; Published 03 April 2023. -- Corresponding author: Simone Ceccobelli, email: s.ceccobelli@staff.univpm.it -- Document type: Article, Gold Open Access. -- FUNDING: This study...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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Registros recuperados : 3 | |
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