Fecha/hora: 15/06/2024 21:12:02

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	30/11/2022	
Fecha de la última actualización: 	21/03/2023	
Autoria: 	BRUNES, L.C.; FARIA, C.U.D.; MAGNABOSCO, C.U.; LOBO, R.B.; PERIPOLLI, E.; AGUILAR, I.; BALDI, F.	
Afiliación: 	LUDMILLA COSTA BRUNES, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; CARINA UBIRAJARA DE FARIA, College of Veterinary Medicine, Federal University of Uberlandia, Uberlandia, 38410-337, Brazil; CLÁUDIO ULHOA MAGNABOSCO, Animal Performance Center, Embrapa Cerrados, Planaltina, 73310-970, Brazil; RAYSILDO BARBOSA LOBO, National Association of Breeders and Researchers, Ribeirao Preto, 14020-230, Brazil; ELISA PERIPOLLI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO BALDI, Departament of Animal Science, College of Agricultural and Veterinary Sciences, Sao Paulo State University (UNESP), Jaboticabal, 14884-900, Brazil.	
Título: 	Genomic prediction ability and genetic parameters for residual feed intake calculated using different approaches and their associations with growth, reproductive, and carcass traits in Nellore cattle.	
Año de publicación: 	2023	
Fuente/Imprenta: 	Journal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8	
ISSN: 	1234-1983	
DOI: 	10.1007/s13353-022-00734-8	
Idioma: 	Inglés	
Notas: 	Article history: Received 25 February 2022; Revised 3 September 2022; Accepted 26 October 2022; Published online 15 November 2022; Published February 2023. -- Corresponding author:  Brunes, L.C.; Animal Performance Center, Embrapa Cerrados, Planaltina, Brazil; email:ludmillabrunes@hotmail.com --	
Contenido: 	ABSTRACT.- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFItest) and for the whole population (RFIpop) in Nellore beef cattle. It also aimed to evaluate the correlations between RFIpop and RFItest with growth, reproductive, and carcass traits. Genotypic and phenotypic records from 8354 animals were used. An analysis of variance (ANOVA) was performed to verify the adequacy of the regression equations applied to estimate the RFItest and RFIpop. The (co)variance components were obtained using the single-step genomic best linear unbiased prediction under single and two-trait animal model analyses. The genetic and phenotypic correlations between RFItest and RFIpop with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFItest and RFIpop genomic breeding values (GEBV). The RFIpop ANOVA showed a higher significance level (p < 0.0001) than did the RFItest for the fixed effects. The RFIpop displayed higher additive genetic variance estimated than the RFItest, although the RFIpop and RFItest displayed similar heritabilities. Overall, the RFItest showed higher residual correlations with growth, reproductive, and carcass traits, while the RFIpop displayed higher genetic correlations with such traits. The GEBV for the RFItest was slightly biased than GEBV RFIpop. The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFIpop would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI. © 2022, The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.	
Palabras-Clave: 	Accuracy; Beef cattle; Bos taurus indicus; Feed efficiency; Genomic selection; Residual feed intake equation.	
Categoría del tema: 	L10 Genética y mejoramiento animal	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (103278-1) - PXI - AP - DD - Jr. of Applied Genetics/2023 -  -  - DIS