Effects of maternal energy efficiency on broiler chicken growth, feed conversion, residual feed intake, and residual maintenance metabolizable energy requirements
Bibliographic record
Abstract
This study investigated the effect of maternal energy efficiency on broiler chicken growth and energy efficiency from 7 to 40 d of age. Residual feed intake (RFI) and residual maintenance ME requirement (RME) were used to measure energetic efficiency. Residual feed intake was defined as the difference between observed and predicted ME intake, and RME(m) as the difference between observed and predicted maintenance ME requirements. A total of 144 Ross-708 broiler breeder pullets were placed in individual laying cages at 16 wk of age. Hens with the greatest RFI (n = 32) and lowest RFI (n = 32) values from 20 to 56 wk of age were selected (maternal RFI; RFI(mat)). Selected hens were retrospectively assigned to a high- or low-RME(m) category (maternal RME(m); RME(mmat)). At 59 wk, eggs were collected for 8 d and pedigree hatched. A total of 338 broilers grouped by dam and sex were raised in 128 cages where feed intake, BW, and temperature were recorded from 7 to 40 d to calculate broiler feed conversion ratios, RFI, and RME(m). The design was a 2 × 2 × 2 factorial with 2 levels of RFI(mat), 2 levels of RME(mmat), and 2 sexes. Neither the RFI(mat) nor RME(mmat) category affected broiler offpring BW or total conversion ratio. The high-RFI(mat) × low-RME(mmat) broilers had decreased growth to 40 d. Low-RFI(mat) × low-RME(mmat) broilers had a lower RME(m) (-5.93 kcal of ME/kg(0.60) per day) and RFI (-0.86 kcal of ME/d) than high-RFI(mat) × low-RME(mmat) broilers (RME(m) = 1.70 kcal of ME/kg(0.60) per day; RFI = 0.38 kcal of ME/d). Overall, hens with low maintenance requirements (low RME(m)) produced more efficient broilers when other efficiency related traits, represented in a lower RFI, were present. Exclusion of high-RFI × low-RME(m) hens from selection programs may improve energy efficiency at the broiler level. The RME(m) methodology is a viable alternative to evaluate energy efficiency in broilers because it avoids confounding environmental effects and allows measurement standardization.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".