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Record W2260289693 · doi:10.11575/prism/28075

The Effect of a Limited Supply of Phenylalanine, Threonine, or Tryptophan on Mammary Metabolism in Dairy Cows

2015· dissertation· en· W2260289693 on OpenAlexfundno aff
Iroshan Indikatiya Hewage

Bibliographic record

VenuePRISM (University of Calgary) · 2015
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsTryptophanThreoninePhenylalanineChemistryBiologyBiochemistryFood scienceAmino acidSerinePhosphorylation

Abstract

fetched live from OpenAlex

Dairy cows require amino acids (AA) in the correct amount and profile to maximize milk protein secretion. This study was conducted to examine the effects of a deficiency of 3 essential AA - phenylalanine (Phe), threonine (Thr) and tryptophan (Trp) - on mammary metabolism and milk production. Five Holstein cows were abomasally infused with water or AA solutions that contained all AA, or were deficient in Phe, Thr, or Trp. Milk and milk protein yields decreased with a deficiency of Phe or Thr but not Trp. Arterial concentrations of Phe, Thr, and Trp decreased with their respective deletions, whereas concentrations of metabolites that serve as energy substrates were unaffected by treatment. Mammary plasma flow and mammary uptake of several AA changed in response to treatments, demonstrating that the mammary gland can respond to changes in nutrient supply in an attempt to maximize milk synthesis.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

Explore more

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