PSVIII-18 Chemical composition of residual yolk in response to feeding broiler breeders hydroxychloride or organic sources of zinc, copper, and manganese from 42 to 63 wk of age
Bibliographic record
Abstract
Abstract The objective was to investigate the effects of feeding broiler breeders (BB) hydroxychloride (HC) or organic (OR) sources of zinc (Zn), copper (Cu), and manganese (Mn) from 42 to 63 wk of age (woa) on chemical composition of residual yolk (RY). A total of 408 ♀ Ross 708 and 48 ♂ Yield Plus cockerels were placed in pens (17 ♀ and 2 ♂) housed in two rooms (12 pens/room) and allocated to one of two diets in a completely randomized block design (n = 12). The diets had similar nutrient specifications but differed in Zn, Cu, and Mn sources: 1) HO, a blend of 80% HC and 20% OR sources, and 2) OR, 100% OR sources ((Table 1 and 2). In total, 2,160 eggs (90 eggs from each pen replicate) were collected and labelled by BB pen at 46, 52 and 62 woa and incubated. For each incubation, embryos were euthanized at embryonic d (ED) 14 and 19 and at day of hatch (DOH) for the RY samples. On ED 14 and 19, six eggs per pen were individually weighed, and cracked open to dissect yolk sac and six hatchlings per pen (3 ♀ and 3 ♂) were individually weighed, and yolk sacs excised for DOH sampling. The RY weight (% of egg for ED or body weight for DOH), and dry matter and ash content were measured. The data at each sampling point was analyzed independently in a model with BB diet, age and associated interactions as fixed factors using PROC GLIMMIX procedures. There were no (P > 0.05) interactions between diet and BB age or main effects of trace mineral (TM) sources on any response criteria. The BB age effect was only observed for RY weight; in this context, the RY weight at ED 19 or DOH differed (P < 0.01) between BB age groups Table 3 and 4). Despite the lack of direct effects of TM sources on the measured criteria, these findings contribute to understanding the dynamics of RY composition in relation to BB age. Further research may explore additional factors influencing RY composition to optimize BB nutrition and subsequent offspring development.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".