03223naa a2200301 a 450000100080000000500110000800800410001902200140006002400360007410000170011024502280012726000090035550003010036452019020066565300130256765300160258065300230259665300200261965300220263965300340266170000180269570000210271370000150273470000180274970000160276770000140278377301240279710638032023-03-21 2023 bl uuuu u00u1 u #d a1234-19837 a10.1007/s13353-022-00734-82DOI1 aBRUNES, L.C. aGenomic 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.h[electronic resource] c2023 aArticle 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 -- aABSTRACT.- 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. aAccuracy aBeef cattle aBos taurus indicus aFeed efficiency aGenomic selection aResidual feed intake equation1 aFARIA, C.U.D.1 aMAGNABOSCO, C.U.1 aLOBO, R.B.1 aPERIPOLLI, E.1 aAGUILAR, I.1 aBALDI, F. tJournal of Applied Genetics, 2023, Volume 64, Issue 1, Pages 159 - 167. doi: https://doi.org/10.1007/s13353-022-00734-8