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Genetic correlation between residual feed intake and easily measurable plasma parameters in arlyfattening young bulls
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Edité par CCSD ; Wageningen Academic Publishers -
Session 43. Digital phenotyping, sensors, ‘omics’ and genetics in enhanced sustainability. International audience. Knowing residual feed intake (RFI) early in life of growing cattle represents an interesting opportunity as it wouldallow both precision feeding and genetic selection. However, measuring RFI is too expensive. Blood plasmabiomarkers represent a cost-effective way to predict RFI and identify feed efficient cattle. Previous works haveidentified candidate RFI plasma parameters that enable differentiation between extreme phenotypes in youngbulls. However, their genetic relationships to RFI need to be clarified. The aim of this study is to estimate thegenetic parameters of 13 easily measurable plasma parameters identified as biomarkers of RFI in early-fatteningyoung bulls and assess their genetic correlations with RFI. A total of 639 young bulls were fattened in four experimentalfarms and were fed ad libitum either grass or corn silage-based diet. Metabolites and plasma enzymeswere analyzed during the early fattening stage of animals (303 ± 25 days of age) by spectrophotometric methodsperformed in an autoanalyzer. Wombat software was used to estimate genetic parameters. The plasma parameterssignificantly correlated with RFI were alanine aminotransferase (0.89 ± 0.26), aspartate aminotransferase (0.50 ±0.32), creatinine (-0.46 ± 0.28), triglycerides (-0.44 ± 0.32) and total plasma proteins (-0.41 ± 0.36). Among thesefive plasma parameters, the heritability ranged from 0.15 to 0.34, while the heritability of RFI was 0.21 (± 0.10).These results pave the way for using blood plasma parameters as proxy to implement genomic evaluation of RFI.
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