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Record W2059669268 · doi:10.4141/cjas07087

Review: Energy partitioning in broiler chickens

2008· article· en· W2059669268 on OpenAlexaffvenue
G Arnobio López, S. Leeson

Bibliographic record

VenueCanadian Journal of Animal Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBroilerEnergy requirementAnimal scienceNutrientBody weightChemistryBiologyMathematicsEndocrinologyStatisticsEcology

Abstract

fetched live from OpenAlex

In commercial nutrition and in research studies, metabolizable energy (ME) is the standard measure of energy used in describing energy requirements and diets for poultry. The provision of dietary energy will influence the intake of all other nutrients. Broilers exhibit an outstanding ability to control their energy intake by adjusting their feed intake as diet energy concentration changes. There is still considerable debate on the accuracy, precision and usefulness of different procedures used for determining ME values of diets and ingredients. ME intake is generally partitioned into energy retained (ER) in body tissues (mainly as fat and protein) and as heat production (HP): ME = HP + ER. There are few reported estimates of HP and its components, fasting heat production (FHP), heat production due to physical activity and the thermic effect of feeding (TEF). Requirements for maintenance (MEm), including major components of FHP and physical activity, are established at around 155 kcal kg BW 0.60 . We recentlyreported that maintenance requirements for young broilers based on kg BW 0.75 were 8% lower than the values estimated using kg BW 0.60 , and that BW raised to the exponent 0.60, was a more precise estimator. Gross energy retained in the body as fat (TERF) and protein (TERP), together contribute most of the total energy retained (TER) in the body. Efficiency of ME utilization above maintenance varies from 70 to 84% for lipid deposition in adult birds and between 37 and 85% in growing birds. Key words: Energy, broiler, metabolic rate, energy retention

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 score0.931
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.227
Teacher spread0.193 · 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

Citations29
Published2008
Admission routes2
Has abstractyes

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