498 Feeding hydroxychloride or organic sources of zinc, copper, and manganese to broiler breeders on growth performance of offsprings when fed hydroxychloride or inorganic sources of the same minerals
Bibliographic record
Abstract
Abstract The study investigated the effect of feeding different sources of trace minerals (TM) such as zinc (Zn), copper (Cu), and manganese (Mn) in broiler breeders (BB) and their offspring on the growth performance of offspring. Ross 708 BB were housed in 24 pens (17 ♀ and 2 ♂) and allocated to two diets (12 replicate pen/diet): 1) HO, a blend of 80% hydroxychloride (HC) and 20% organic (OR) sources, and 2) OR, 100% OR sources (Table 1-4). Hatching eggs were collected from BB pens at 46, 54 and 62 wk of age, and incubated. Upon hatching, chicks were sexed, weighed, and placed in 24 sex-segregated pens (40 birds/pen), maintaining BB diet identification. One-half of chicks from BB fed HO or OR were fed HC and the other one-half were fed inorganic (InO) sources of Zn, Cu and Mn, effectively creating 4 treatments for offspring phase (n = 6; 3 pens per sex). Body weight (BW), average daily feed intake (ADFI), average daily gain (ADG), and feed conversion ratio (FCR) were calculated. Results showed that parental diets did not significantly affect chicken BW, ADFI, ADG, or FCR. However, parental age had significant effects (Tables 5-8). Offspring from 46-wk BB had greater BW on d 10, 21, and 42, increased ADFI on all diets, greater ADG on starter and grower diets, and improved FCR on starter and grower diets. Chicks fed HC diets displayed greater BW, ADFI, and ADG in certain phases. Overall, the study highlights the importance of TM sources and parental age in influencing broiler performance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".