Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness.

Autor: de Oliveira MHV; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil. matheusvargasoliveira@hotmail.com., Malheiros JM; Embrapa Southeast Livestock (EMBRAPA), São Carlos, São Paulo, Brazil., Ospina AMT; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil., Dominguez-Castaño P; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil.; Facultad de Medicina Veterinaria, Fundación Universitaria Agraria de Colombia (UNIAGRARIA), Bogotá, Colombia., Benfica LF; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil., Dos Santos Correia LEC; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil., de Genova Gaya L; Federal University of São João del-Rei (UFSJ), São João del-Rei, Minas Gerais, Brazil., Mercadante MEZ; Institute of Animal Science (IZ), Sertãozinho, São Paulo, Brazil., de Castilhos AM; School of Veterinary Medicine and Animal Science (FMVZ), São Paulo State University (UNESP), Botucatu, São Paulo, Brazil., Dos Santos Gonçalves Cyrillo JN; Institute of Animal Science (IZ), Sertãozinho, São Paulo, Brazil., Sartori JB; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil., de Albuquerque LG; College of Agriculture and Veterinary Science (FCAV), São Paulo State University (UNESP), Jaboticabal, São Paulo, Brazil., Silva JAIV; School of Veterinary Medicine and Animal Science (FMVZ), São Paulo State University (UNESP), Botucatu, São Paulo, Brazil.
Jazyk: angličtina
Zdroj: Tropical animal health and production [Trop Anim Health Prod] 2022 Sep 14; Vol. 54 (5), pp. 295. Date of Electronic Publication: 2022 Sep 14.
DOI: 10.1007/s11250-022-03285-6
Abstrakt: The aim of the present study was to use different models that include body composition phenotypes for the evaluation of residual feed intake (RFI) in Nellore bulls of different ages. Phenotypic and genotypic data of bulls that had participated in feed efficiency tests of a commercial (COM) and an experimental (EXP) herd between 2007 and 2019 were used. The mean entry age in the two herds was 645 and 279 days, respectively. The phenotypes were evaluated: rib eye area (REA), backfat thickness (BFT), residual feed intake (RFI KOCH ), RFI adjusted for REA (RFI REA ), RFI adjusted for BFT (RFI BFT ), and RFI adjusted for REA and BFT (RFI REA BFT ). The (co)variance components and prediction of genomic estimated breeding values (GEBV) were obtained by REML using ssGBLUP in single and two-trait analyses. Spearman's correlations were calculated based on the GEBV for RFI KOCH . The RFI phenotypes exhibited moderate heritability estimates in both herds (0.17 ± 0.03 to 0.27 ± 0.04). The genetic correlation between phenotypes was positive and high (0.99) in the two herds, a fact that permitted the creation of a single database (SDB). The heritability estimates of the SDB were also of moderate magnitude for the different definitions of RFI (0.19 ± 0.04 to 0.21 ± 0.04). The genetic correlations were positive and high between RFI traits 0.97 ± 0.01 to 0.99 ± 0.01), and positive and low/moderate between REA and BFT (0.01 ± 0.10 to 0.31 ± 0.12). The selection of animals based on the GEBV for RFI KOCH did not alter the ranking of individuals selected for RFI REA , RFI BFT , and RFI REA BFT . The results of the present study suggest that records of Nellore bulls of different ages and with different body compositions can be combined in a SDB for RFI calculation. Therefore, young animals can be evaluated in feed efficiency tests in order to reduce costs and the generation interval and possibly to obtain a higher response to selection.
(© 2022. The Author(s), under exclusive licence to Springer Nature B.V.)
Databáze: MEDLINE
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