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Registro completo
Biblioteca (s) :  INIA Las Brujas.
Fecha :  27/07/2022
Actualizado :  27/02/2023
Tipo de producción científica :  Trabajos en Congresos/Conferencias
Autor :  MISZTAL, I.; LOURENCO, D.; TSURUTA, S.; AGUILAR, I.; MASUDA, Y.; BERMANN, M.; CESARANI, A.; LEGARRA, A.
Afiliación :  I. MISZTAL, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; D. LOURENCO, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; S. TSURUTA, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Y. MASUDA, Rakuno Gakuen University, 069-8501, Ebetsu, Hokkaido, Japan; M. BERMANN, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. CESARANI, University of Georgia, Department of Animal and Dairy Science, 30602, Athens, GA, USA; A. LEGARRA, Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, UMR1388 GenPhySE, 31326, Castanet Tolosan, France.
Título :  How ssGBLUP became suitable for national dairy cattle evaluations. [668].
Complemento del título :  Part 37 - Bovine dairy - genetic evaluation methods.
Fecha de publicación :  2022
Fuente / Imprenta :  In: Proceedings of the World Congress on Genetics Applied to Livestock Production (WCGALP), 12., Rotterdam, the Netherlands, 3-8 July 2022. doi: https://doi.org/10.3920/978-90-8686-940-4_668
Páginas :  2757-2760.
DOI :  10.3920/978-90-8686-940-4_668
Idioma :  Inglés
Notas :  Article history: Published online: February 9, 2023 -- Corresponding author: I. Misztal, email: ignacy@uga.edu
Contenido :  ABSTRACT.- National dairy evaluations use mostly multistep methods, where a nongenomic BLUP evaluation is followed by extraction of pseudo-phenotypes, genomic analyses, and merging nongenomic and genomic evaluations. With genomic preselection and many females genotyped, pseudo-phenotypes are biased, and it is hard to accommodate female genotypes fully. Such problems were successfully solved in other species by ssGBLUP, but large biases and expensive computing were experienced in dairy. This paper documents several improvements that made ssGBLUP feasible for national dairy evaluations.
Palabras claves :  BLUP (BEST LINEAR UNBIASED PREDICTION); GENOTYPES.
Asunto categoría :  L10 Genética y mejoramiento animal
URL :  http://www.ainfo.inia.uy/digital/bitstream/item/17001/1/978-90-8686-940-4-668.pdf
https://www.wageningenacademic.com/doi/epdf/10.3920/978-90-8686-940-4_668
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB103153 - 1PXIPC - DDWCGALP/12/2022

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Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy.
Registro completo
Biblioteca (s) :  INIA Las Brujas.
Fecha actual :  31/07/2017
Actualizado :  31/07/2017
Tipo de producción científica :  Artículos en Revistas Indexadas Internacionales
Circulación / Nivel :  Internacional - --
Autor :  FEITOSA, F. L. B.; OLIVIERI, B. F.; ABOUJAOUDE, C.; PEREIRA, A. S. C.; DE LEMOS, M. V. A.; CHIAIA, H. L. J.; BERTON, M. P.; PERIPOLLI, E.; FERRINHO, A. M.; MUELLER, L. F.; MAZZALI, M. R.; DE ALBUQUERQUE, L. G.; DE OLIVERA, H. N.; TONHATI, H.; ESPIGOLAN, R.; TONUSSI, R. L.; DE OLIVIERA SILVA, R. M.; GORDO, D. G. M.; MAGALHAES, A. F. B.; AGUILAR, I.; BALDI, F. S. B.
Afiliación :  FABIELI LOISE BRAGA FEITOSA, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; BIANCA FERREIRA OLIVIERI, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; CAROLYN ABOUJAOUDE, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; ANGÉLICA SIMONE CRAVO, Faculdade de Medicina Veterinária e Zootecnia da USP, Pirassununga, Brazil; MARCOS VINICIUS ANTUNES DE LEMOS, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HERMENEGILDO LUCAS JUSTINO CHIAIA, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; MARIANA PIATTO BERTON, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; ELISA PERIPOLLI, UNESP-Universidade Estadual Paulista, Department of Zootechnics, Sao Paulo, Brazil; ADRIELLE MATHIAS FERRINHO, Universidade de Sao Paulo - USP, Faculdade de Medicina Veterinária e Zootecnia, Sao Paulo, Brazil; LENISE FREITAS MUELLER, Universidade de Sao Paulo - USP, Faculdade de Zootecnia e Engenharia de Alimentos, Sao Paulo, Brazil; MÓNICA ROBERTA MAZALLI, Universidade de Sao Paulo - USP, Food Engineering Department, Sao Paulo, Brazil; LÚCIA GALVAO DE ALBUQUERQUE, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HENRIQUE NUNES DE OLIVERA, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; HUMBERTO TONHATI, UNESP-Universidade Estadual Paulista, Department of Zootechnics, Sao Paulo, Brazil; RAFAEL ESPIGOLAN, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; RAFAEL LARA TONUSSI, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; RAFAEL MEDEIROS DE OLIVEIRA SILVA, UNESP-Universidade Estadual Paulista, Department of Animal Science, Sao Paulo, Brazil; DANIEL GUSTAVO MANSAN GORDO, UNESP-Universidade Estadual Paulista, Sao Paulo, Brazil; ANA FRABICIA BRAGA MAGALHAES, UNESP-Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Sao Paulo, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO S. B. BALDI, UNESP-Universidade Estadual Paulista, Sao Paulo, Brazil.
Título :  Genetic correlation estimates between beef fatty acid profile with meat and carcass traits in Nellore cattle finished in feedlot.
Fecha de publicación :  2017
Fuente / Imprenta :  Journal of Applied Genetics, 2017, 58 (1), 123-132.
ISSN :  1234-1983
DOI :  10.1007/s13353-016-0360-7
Idioma :  Inglés
Notas :  Article history: Received: 15 December 2015 /Revised: 10 March 2016 /Accepted: 5 July 2016 / Published Online: 30 July 2016
Contenido :  ABSTRACT. The objective of this study was to estimate the genetic?quantitative relationships between the beef fatty acid profile with the carcass and meat traits of Nellore cattle. A total of 1826 bulls finished in feedlot conditions and slaughtered at 24 months of age on average were used. The following carcass and meat traits were analysed: subcutaneous fat thickness (BF), shear force (SF) and total intramuscular fat (IMF). The fatty acid (FA) profile of the Longissimus thoracis samples was determined. Twenty-five FAs (18 individuals and seven groups of FAs) were selected due to their importance for human health. The animals were genotyped with the BovineHD BeadChip and, after quality control for single nucleotide polymorphisms (SNPs), only 470,007 SNPs from 1556 samples remained. The model included the random genetic additive direct effect, the fixed effect of the contemporary group and the animal?s slaughter age as a covariable. The (co)variances and genetic parameters were estimated using the REML method, considering an animal model (single-step GBLUP). A total of 25 multi-trait analyses, with four traits, were performed considering SF, BF and IMF plus each individual FA. The heritability estimates for individual saturated fatty acids (SFA) varied from 0.06 to 0.65, for monounsaturated fatty acids (MUFA) it varied from 0.02 to 0.14 and for polyunsaturated fatty acids (PUFA) it ranged from 0.05 to 0.68. The heritability estimates for Omega 3, Omega 6, SFA, MUFA and PUFA... Presentar Todo
Palabras claves :  BOS INDICUS; FAT; HUMAN HEALTH; MEAT QUALITY; MEAT TENDERNESS; SELECTION.
Asunto categoría :  L10 Genética y mejoramiento animal
Marc :  Presentar Marc Completo
Registro original :  INIA Las Brujas (LB)
Biblioteca Identificación Origen Tipo / Formato Clasificación Cutter Registro Volumen Estado
LB101443 - 1PXIAP - DDPP/JR.APPL.GENETICS/2017
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