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Record W4406216302 · doi:10.1177/10406387241307974

Suspected fenugreek ( <i>Trigonella foenum-graecum</i> L.) toxicosis in a herd of Saskatchewan beef cattle

2025· article· en· W4406216302 on OpenAlexafffundabout
Vanessa Cowan, Roman V. Koziy, Laurie Zemlak, John Campbell

Bibliographic record

VenueJournal of Veterinary Diagnostic Investigation · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Toxicity and Pharmacological Properties
Canadian institutionsShared HealthUniversity of Saskatchewan
FundersElanco Animal HealthMinistry of Agriculture - Saskatchewan
KeywordsTrigonellaHerdMedicineVeterinary medicineFodderBiologyAtaxiaPhysiologyTraditional medicine

Abstract

fetched live from OpenAlex

An apparent outbreak of fenugreek forage toxicosis occurred in a beef cattle herd near Moose Jaw, Saskatchewan in February-May 2022. The herd had consumed fenugreek hay from late fall to early winter. Clinical signs included various degrees of weakness, ataxia, knuckling, walking on hocks, and recumbency. All adult cattle in the herd eventually died or were euthanized. Feed analysis did not reveal nutritional deficiencies or mycotoxin contamination. Liver mineral and vitamin status of affected animals did not indicate any consistent abnormality. The last live cow in the herd was presented to a veterinary teaching hospital for evaluation and subsequent postmortem examination. Major postmortem findings included emaciation, and sciatic nerve and spinal cord axonal degeneration. Histologic examination of the sciatic nerve showed Wallerian-like axonal degeneration, increased Schwann cell nuclei, and endoneurial fibrosis. Histologic examination of the spinal cord showed infrequent myelin sheath dilation and digestion chambers within white matter. These results are consistent with other reports of natural and experimental outbreaks of fenugreek poisoning in livestock. To our knowledge, fenugreek toxicosis has not been reported previously in Canada. We conclude that caution should be taken when feeding fenugreek hay to cattle.

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)0.001
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 score0.081
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.022
GPT teacher head0.272
Teacher spread0.249 · 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
Published2025
Admission routes3
Has abstractyes

Explore more

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