MétaCan
Menu
Back to cohort
Record W4414100731 · doi:10.1016/j.psj.2025.105815

Nutritional supplementation of ahiflower seed and press cake in laying hens and its effect on production performance, nutrient digestibility, egg quality, and yolk omega-3 fatty acid enrichment during mid- to post-peak production phase

2025· article· en· W4414100731 on OpenAlexafffund
Roseline O Ogory, Greg Cumberford, K. Schwean-Lardner, Rex W. Newkirk, Deborah Adewole

Bibliographic record

VenuePoultry Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsKensington HealthUniversity of Saskatchewan
FundersNatureMitacsUniversity of Saskatchewan
KeywordsYolkEggshellDocosahexaenoic acidEicosapentaenoic acidLinoleic acidFatty acidNutrient

Abstract

fetched live from OpenAlex

Ahiflower seed (AFS) and ahiflower press cake (AFP) are rich in n-3 fatty acids and other nutrients that can be beneficial for laying hens or deposited in their eggs. A total of 288 36-week-old white leghorn hens were allocated into eight treatments with six replicates of 6 birds/cage for 12 weeks. The treatments included the control (CON), CON + 10% flaxseed (10%FX), 1, 5, or 10% AFS, or 5, 10, or 15% AFP. Overall, 10%AFP increased BW compared to 1%AFS. Diets did not affect n-6/n-3, apparent total tract digestibility (ATTD) of energy, and most of the egg quality parameters. In the egg yolk, stearidonic acid was increased (P<.0001) in 10%AFS (0.15mg/g) compared to CON (0.01mg/g), 10%FX (0.08mg/g), and all other treatment groups. The eicosapentaenoic acid was increased (P=0.0001) in 10%AFS (0.28mg/g) and 10%FX (0.29 mg/g) compared to CON (0.05mg/g). Compared to CON (1.49 mg/g) and other treatment groups, 10%FX (9.47mg/g) increased (P0.000) α-linolenic acid while docosahexaenoic acid was increased (P0.000) by 10%AFS (5.39mg/g) compared to CON (2.82mg/g). Hens fed 10%FX, 5% and 15%AFP had increased (P=0.0001) linoleic acid (34mg/g) compared to CON (26.6mg/g). In conclusion, 10%AFS increased n-3 FAs in egg yolk with no effect on egg quality, eggshell Ca and P levels, ATTD of energy, and n-6/n-3 ratio.

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 score0.560
Threshold uncertainty score0.258

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 head0.024
GPT teacher head0.310
Teacher spread0.285 · 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 routes2
Has abstractyes

Explore more

Same venuePoultry ScienceSame topicAnimal Nutrition and PhysiologyFrench-language works237,207