Effect of Residual Feed Intake Status, Breed and Post Mortem Aging on Consumer Perception of and Preference for Beef Ribeye Steaks
Bibliographic record
Abstract
ObjectivesThe effect of selection for efficient animals using residual feed intake (RFI) on meat sensory quality and consumer preference has had limited study. The objective of this study was to determine the effects of breed, RFI and aging on consumer sensory preference and attributes perception of beef rib-eye steaks.Materials and MethodsThirty-six steers were used in a 3 breed (Angus, Charolais, and Kinsella Composite) × 2 RFI level (high and low) factorial design experiment. Two aging times (4 and 18 d) were also included in the experiment. Perceived and ideal tenderness, juiciness, flavor intensity and overall acceptance of ribeye steaks were evaluated by 24 consumers prescreened to ensure that they regularly consumed high-quality steaks. Analysis of variance (ANOVA), Generalized Procrustes Analysis (GPA) and preference mapping were used to analyze consumer sensory data.ResultsResults from the ANOVA showed that consumers found no significant effect of any main factor on beef flavor intensity (P > 0.05). Breed significantly affected juiciness (P = 0.0070) and overall acceptance of steaks (P = 0.0149), with steaks from Angus and Charolais receiving similar juiciness and acceptance ratings. Steaks aged 18 d were slightly juicier (P = 0.0832) and more acceptable (P = 0.0075) than steaks aged 4 d. No RFI effect was observed for any sensory attribute and acceptance of steaks (P > 0.05). The comparison between consumers’ ideal ribeye steaks and assessed samples found that sensory attributes of steaks from some treatments were different from consumers’ ideal products (P < 0.05). About 80% of the total variation was explained by the first 2 dimensions of the GPA consensus configuration. GPA differentiated meat clearly by aging, with samples aged for 18 d and ideal ribeye steaks characterized as juicier, more tender and as having more intense beef flavor than samples aged for 4 d. Following GPA analysis, preference mapping was performed to correlate sensory attribute perception and consumer preference. Combined with the contour plot, results of preference mapping showed that steaks from carcasses of Angus and Kinsella Composite steers with high RFI received more appreciation from consumers than steaks from carcasses of steers with low RFI. This result suggested a negative influence of selection for efficient animals using RFI on consumer preference of ribeye steaks in some breeds.ConclusionTherefore, RFI can be a beneficial tool in selecting efficient animals because of its limited influence on meat sensory quality, but its possible adverse influence on consumer preference should be monitored during the selection process.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".