ArticleJournal of animal science2026
Genetic parameters for feed efficiency, growth performance, and feeding behaviors traits in Canadian Duroc pigs.
Article in Journal of animal science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Whole-Genome Resequencing of 299 Large White Pigs Identifies RASAL2 as a Candidate Gene for Feed Efficiency Traits.Animal genetics · 2026Article
- Multi-omics analysis of cecal microbiota-hypothalamus axis interactions in small-sized meat ducks with divergent residual feed intake.Poultry science · 2026Article
- Genome-wide association studies for feed efficiency, production and feeding behavior traits in Canadian purebred Duroc pigs.Journal of animal science · 2026Article
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8 authors.
Funding
Abstract
Feed represents the largest cost in pig production, making improvement in feed efficiency (FE) essential for maximizing the profitability for pig producers. The objective was to model different FE traits and to estimate the phenotypic and genetic correlations among these FE traits, growth traits, and feeding behavior traits. The FE traits included feed conversion ratio (FCR), six measures of residual feed intake (RFI1-6), residual gain (RG), residual intake and gain (RIG), and Kleiber ratio (KR). The RFIs were calculated by regressing daily feed intake (DFI) on different combinations of covariates, including metabolic midweight, average daily gain (ADG120), backfat thickness (BF120), and loin depth (LD120). Feeding behavior traits analyzed were the number of visits to the feeder per day (NVD), total time spent eating per day (TPD), feed intake rate (FR), feed intake per visit (FPV), and time spent eating per visit (TPV). Genetic parameters of the studied traits from 14,939 Duroc pigs were estimated using ASReml-R version 4.2. The univariate model indicated that fixed effects (sex, herd-year-season), covariates (initial body weight, adjusted age at 120 kg), and random effects (pen, litter, maternal genetics) are all significant for FE and performance traits (P < 0.05). Heritability estimates (±SE) for FE traits ranged from 0.28 ± 0.03 for RFI1 to 0.34 ± 0.03 for FCR indicating moderate heritability. Similarly, most of the performance and feeding behavior traits had moderate heritability, with higher estimates observed for BF120 (0.51 ± 0.03), FR (0.62 ± 0.02) and TPD (0.60 ± 0.02). All six RFI traits had weak to moderate positive genetic correlations (±SE) with BF120 (from 0.13 ± 0.06 for RFI6 to 0.58 ± 0.04 for RFI1 and RFI2). Only RFI1, RFI2, and RFI3 had significant genetic correlations with LD120 estimated at -0.40 ± 0.05, -0.41 ± 0.05 and -0.23 ± 0.06, respectively. FCR displayed significant genetic correlations with ADG120 (-0.64 ± 0.07), BF120 (0.55 ± 0.05), and LD120 (-0.61 ± 0.07). RG and RIG had significant positive genetic correlations with ADG120 and low or non-significant genetic correlations with BF120 and LD120. FE traits had weak genetic correlations with feeding behavior traits. Overall, the results demonstrate that RFI is a more reliable and advantageous trait for improving FE compared with FCR, as it maintains favorable relationships with growth traits while minimizing negative effects on carcass quality. The weak associations between FE and feeding behavior traits further suggest that selecting for RFI can enhance feed utilization without unintended behavioral consequences. These findings highlight the potential of RFI as a selection criterion to advance genetic improvement programs focused on sustainable production efficiency without compromising key economic and quality traits.
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