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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.
- Source :
-
Journal of applied genetics [J Appl Genet] 2023 Feb; Vol. 64 (1), pp. 159-167. Date of Electronic Publication: 2022 Nov 15. - Publication Year :
- 2023
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Abstract
- This study aimed to estimate prediction ability and genetic parameters for residual feed intake (RFI) calculated using a regression equation for each test (RFI <subscript>test</subscript> ) and for the whole population (RFI <subscript>pop</subscript> ) in Nellore beef cattle. It also aimed to evaluate the correlations between RFI <subscript>pop</subscript> and RFI <subscript>test</subscript> 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 RFI <subscript>test</subscript> and RFI <subscript>pop</subscript> . 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 RFI <subscript>test</subscript> and RFI <subscript>pop</subscript> with dry matter intake, frame, growth, reproduction, and carcass-related traits were evaluated. The prediction ability and bias were estimated to compare the RFI <subscript>test</subscript> and RFI <subscript>pop</subscript> genomic breeding values (GEBV). The RFI <subscript>pop</subscript> ANOVA showed a higher significance level (pā<ā0.0001) than did the RFI <subscript>test</subscript> for the fixed effects. The RFI <subscript>pop</subscript> displayed higher additive genetic variance estimated than the RFI <subscript>test</subscript> , although the RFI <subscript>pop</subscript> and RFI <subscript>test</subscript> displayed similar heritabilities. Overall, the RFI <subscript>test</subscript> showed higher residual correlations with growth, reproductive, and carcass traits, while the RFI <subscript>pop</subscript> displayed higher genetic correlations with such traits. The GEBV for the RFI <subscript>test</subscript> was slightly biased than GEBV RFI <subscript>pop</subscript> . The approach to calculate the RFI influenced the decomposition and estimation of variance components and genomic prediction for RFI. The application of RFI <subscript>pop</subscript> would be more appropriate for genetic evaluation purpose to adjust or correct for non-genetic effects and to decrease the prediction bias for RFI.<br /> (© 2022. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.)
Details
- Language :
- English
- ISSN :
- 2190-3883
- Volume :
- 64
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of applied genetics
- Publication Type :
- Academic Journal
- Accession number :
- 36376720
- Full Text :
- https://doi.org/10.1007/s13353-022-00734-8