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Record W1975983824 · doi:10.4141/cjas07079

Effect of lecithin with or without chitooligosaccharide on the growth performance, nutrient digestibility, blood metabolites and pork quality of finishing pigs

2008· article· en· W1975983824 on OpenAlexvenueno aff
Won-Tae Kim, Prashant Shinde, B. J. Chae

Bibliographic record

VenueCanadian Journal of Animal Science · 2008
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsLecithinChemistryFood scienceTriglycerideMyristic acidOleic acidCholesterolAnimal scienceFatty acidBiochemistryBiologyPalmitic acid

Abstract

fetched live from OpenAlex

Two experiments were conducted to evaluate the effect of dietary lecithin with or without chitooligosaccharide (COS) on the performance, blood metabolites, pork cholesterol, fatty acid composition and quality of finishing pigs. In exp. 1, 36 pigs (Landrace × Yorkshire × Duroc, 84.5 ± 0.60 kg initial body weight) were fed lecithin at 0, 2.5 or 5.0% of the diet. Lecithin improved average daily gain (16%) and feed conversion ratio, and did not affect apparent nutrient digestibility. On day 28, lecithin decreased serum total and low density lipoprotein (LDL) cholesterol (34 and 77%, P = 0.016), and increased serum triglyceride (P = 0.048). Lecithin did not affect carcass characteristics and pork quality, but increased myristic and α-linolenic acid and reduced palmitoleic acid in pork. Experiment 2 involved 108 pigs (85.0 ± 0.76 kg initial body weight) in a 2 × 2 factorial arrangement of treatments, wherein two levels of lecithin (low, 2.5 and high, 5.0%) and COS (0.0 and 0.1%) were used. Addition of COS in diets containing lecithin reduced pork cholesterol (16.4%) and oleic acid (28.3%), and did not affect performance, nutrient digestibility, blood metabolites and pork quality. In conclusion, these results suggest that lecithin improved the growth performance of finishing pigs and inclusion of COS reduced the amount of cholesterol in pork. Key words: Lecithin, COS, performance, nutrient digestibility, pork quality

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.032
GPT teacher head0.246
Teacher spread0.214 · 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 designObservational
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

Citations22
Published2008
Admission routes1
Has abstractyes

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