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Record W2125604666 · doi:10.1093/ps/84.7.1069

Utilization of metabolizable energy by young broilers and birds of intermediate growth rate

2005· article· en· W2125604666 on OpenAlexaff
G Arnobio López, S. Leeson

Bibliographic record

VenuePoultry Science · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAnimal scienceBody weightEnergy requirementBroilerBiologyGrowth rateNitrogen balanceChemistryNitrogenEndocrinologyMathematicsStatistics

Abstract

fetched live from OpenAlex

An experiment was conducted to study the utilization of ME by 3 strains of birds with different growth rates: commercial broilers, Plymouth Barred Rocks, and Leghorns. Birds were fed a diet providing 3,100 kcal of ME/kg and 20% CP from 0 to 42 d. ME and nitrogen balance were determined from 10 to 15, 23 to 28, and 37 to 42 d. Energy retained (ER) as fat (ERF) and protein (ERP) were derived from body analyses for each period and group of birds. ERF and ERP were obtained as the difference in values at the end of each period and their respective predicted values based on BW at the beginning of the period. ER, ERF, and ERP per unit metabolic BW were significantly different for broilers vs. the other 2 strains in all periods (P < 0.001). Heat production and ER increased significantly (P < 0.01) for all groups. There was a significant decrease in HP (P < 0.001) over time with no change in ER, ERF, or ERP over time. Age appeared to have no significant effect on ERF/ME regardless of strain. Estimation of maintenance requirements as a function of BW0.75 vs. BW0.60 showed that requirements for broilers per kilogram of BW0.75 are 8% lower compared with estimates based on BW0.60. It seems that energy requirements for maintenance has been underestimated for younger or smaller birds and implies greater apparent efficiency for growth. Because ME intake for maintenance requirements represents a large portion of the ME intake, the results from this experiment could be considered in calculation of energy requirements for growing broilers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.169

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.225
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations43
Published2005
Admission routes1
Has abstractyes

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