Abstract

Objectives of this study were to evaluate the effects of residual feed intake (RFI) classification on performance and feed efficiency in steers fed a high-grain diet and to examine associations between RFI and blood metabolite profiles and feeding behavior traits to identify RFI biomarkers. Performance, DMI, and feeding behavior traits were measured for 70 d in Angus crossbred steers (N = 168) using a GrowSafe system. Steers were classified into low- (n = 52), medium- (n = 64), and high- (n = 52) RFI groups based on ±0.5 SD from the mean RFI of 0.00 (SD = 0.82). Low-RFI steers consumed 17% less (P < 0.0001) DMI (9.05 vs. 10.89 ± 0.14 kg/d), had 18% lesser (P < 0.0001) feed:gain ratio (5.05 vs. 6.11 ± 0.10), and generated $95 per head more (P < 0.001) profit compared with high-RFI steers, even though ADG and carcass value were not affected by RFI classification. Blood samples were collected from steers with lowest RFI (n = 25) and highest RFI (n = 24) on Day 70 of the trial, and serum metabolite concentrations were analyzed using 1H-NMR spectroscopy. Partial least squares (PLS; MetaboAnalyst) were used to examine associations between RFI and metabolites and feeding behavior traits. Of the 12 feeding behavior traits evaluated, 4 traits had variable of importance in projection (VIP) scores > 1.0, which included head-down (HD) duration, bunk visit (BV) duration, nonfeeding interval (NFI) duration, and head-down–to–meal duration ratio (HD:MD). The first 2 components of PLS accounted for 54% of between-animal variance in RFI. Steers with low RFI had longer (P < 0.001) NFI duration (less time at the bunk), 45% lower HD duration, 35% lower BV duration, and 32% lower HD:MD than high-RFI steers. Of the 44 metabolites detected by 1H-NMR, 5 metabolites had VIP scores > 2, which included glycine, betaine, tyrosine, valine, and leucine. The first 2 components of PLS accounted for 34% of between-animal variance in RFI. Steers with low RFI had higher (P < 0.001) concentrations of glycine and lower (P < 0.06) concentrations of betaine, tyrosine, valine, and leucine than high-RFI steers. These preliminary results reveal that metabolomic profiling and feeding behavior traits may provide opportunities to identify biomarkers that are predictive of RFI in beef cattle.

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