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Record W2018262557 · doi:10.5713/ajas.2011.11161

Nutritional Evaluation of Canola Protein Concentrate for Broiler Chickens

2011· article· en· W2018262557 on OpenAlexaff
P. A. Thacker, Daniel Petri

Bibliographic record

VenueAsian-Australasian Journal of Animal Sciences · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCanolaBroilerBiologyAnimal scienceFood scienceBiotechnology

Abstract

fetched live from OpenAlex

This trial was conducted to determine the effects of including canola protein concentrate in diets fed to broiler chickens on nutrient digestibility and broiler performance (0-21 days). A total of 180, day-old, male broiler chicks weighing an average of 52.80.6 g were assigned to one of six dietary treatments in a completely randomized design. The control diet was based on corn and soybean meal and contained 15% canola meal. The experimental diets contained 3, 6, 9, 12 or 15% canola protein concentrate added at the expense of canola meal. There were five birds per pen and six replicate pens per treatment. Feed and water were available ad libitum throughout the 21-day experiment. Chromic oxide (0.35%) was added to all diets as a digestibility marker and was fed throughout the experimental period. The digestibility of dry matter, energy and phosphorus increased linearly (p<0.01) with increasing levels of canola protein concentrate. Although nutrient digestibility was higher for birds fed diets containing canola protein concentrate, these improvements did not translate into improvements in broiler performance. Weight gain was unaffected (p = 0.24) by level of canola protein concentrate. Feed intake was significantly increased (p<0.01) with the result that feed conversion tended to be poorer (p = 0.07) for birds fed diets containing canola protein concentrate. Mortality was also unaffected (p = 0.56) by dietary treatment.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.893
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.108
GPT teacher head0.297
Teacher spread0.189 · 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.

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

Citations15
Published2011
Admission routes1
Has abstractyes

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