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Record W2394153937

Effect of Different Processing on the Quality of Double-low Rape-seed Meal

2000· article· en· W2394153937 on OpenAlexaboutno aff
Jian Peng

Bibliographic record

VenueZhongguo xumu zazhi · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytase and its Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCanolaRapeseedMealBroilerRoastingFeed conversion ratioFood scienceAnimal scienceChemistryBrassicaBiologyBody weightAgronomy
DOInot available

Abstract

fetched live from OpenAlex

Studies involved in vitro and in vivo trials to evaluate the nutritional quality of 2 Chinese double\|low rapeseed meal samples(A and B), one of which(A)was processed under an excessive heat using the roasting\|expelling technology,another of which(B) was pre\|press solvent exfacted using conventional mild heat treatment conditions, and also l Canadian Canola meal. In the in vitro trial, the digestible protein contents in the samples are 73.6%,59.0% and 51.0%, for Canola, A, B, respectively(P0.01). The effects of inclusion 300 g.kg -1 of these samples in the conventional diets on the performance of the broiler chicks were examined in the second trial. Body weight gain, feed intake, and feed conversion efficiency differed much (P0.05 or P0.01) among the samples in every period of the trial. Meanwhile, nitrogen retention(NR) was higher in Canola and B than in A(P0.05);NDF N digestibility was lowest in A(P0.01), which resulted in the low NR and poor performance for broiler chicks in this treatment. It suggested that either overheated or under\|heated processing be critical for the quality of double\|low rapeseed meal.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.371
Threshold uncertainty score0.651

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)0.0010.000

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 head0.030
GPT teacher head0.283
Teacher spread0.252 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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