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Record W4407122185 · doi:10.1139/cjas-2024-0109

Effects of dietary <i>Pleurotus geesteranus</i> stem supplementation on growth performance, anti-inflammation activity, intestinal function, and meat quality in pigs

2025· article· en· W4407122185 on OpenAlexvenueno aff
Ying Ju, Sheng Sun, Shengli Lin, Liling Huang, Xuzhou Liu, Liangliang Qi

Bibliographic record

VenueCanadian Journal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Quality and Safety Studies
Canadian institutionsnot available
FundersEarmarked Fund for China Agriculture Research SystemGuangxi Academy of Agricultural Sciences
KeywordsPleurotusBiologyInflammationFood scienceAnimal scienceMedicineImmunologyMushroom

Abstract

fetched live from OpenAlex

The study evaluated the effects of Pleurotus geesteranus stem (PGS), an agricultural waste rich in bioactive components, on pig growth, antioxidant status, anti-inflammatory responses, short-chain fatty acid (SCFA) production, fecal microbiota, intestinal function, and meat quality across different stages. In Exp. 1, 108 weaned piglets (7.80 ± 0.41 kg) were randomly assigned to three dietary treatments: control (basal diet), 1.5% PGS, and 3% PGS. In Exp. 2, 108 growing–finishing pigs (76.97 ± 5.91 kg) were subjected to the same treatments. Results showed that diets supplemented with PGS increased the average daily gain ( P &lt; 0.05) and fecal total SCFA contents ( P &lt; 0.05) of piglets. PGS supplementation reduced serum interleukin-6 (IL-6) content ( P &lt; 0.05) and fecal Escherichia coli counts ( P &lt; 0.05) in piglets. The PGS addition could enhance ileal mucosal mucin 1 and mucin 2 expression ( P &lt; 0.05), decrease drip loss ( P &lt; 0.05), and increase pH 45 min value ( P &lt; 0.05) of longissimus dorsi muscle (LDM), and downregulate ACC expression ( P &lt; 0.05) in LDM of growing-finishing pigs. Overall, PGS supplementation positively influenced growth performance, inflammation control, SCFA production, intestinal health, and meat 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 score0.693
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.254
Teacher spread0.226 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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