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Record W1986845613 · doi:10.2527/jas.51843

The impact of lower gut nitrogen supply on nitrogen balance and urea kinetics in growing pigs fed a valine-limiting diet1

2012· article· en· W1986845613 on OpenAlexaff
Daniel A Columbus, Hélène Lapierre, M. F. Fuller, John K Htoo, C. F. M. de Lange

Bibliographic record

VenueJournal of Animal Science · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsAgriculture and Agri-Food CanadaUniversity of Guelph
Fundersnot available
KeywordsNitrogen balanceNitrogenLimitingUreaKineticsChemistryValineAnimal scienceBalance (ability)BiochemistryBiologyAmino acidOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

An N-balance and isotope dilution study was performed to determine the effect of lower gut N supply on N retention and CO(NH(2))(2) kinetics in growing pigs. Nine cecally cannulated and jugular-catheterized barrows (initial BW 22.4 ± 1.2 kg) were randomly assigned to 1 of 3 cecal N infusion treatments: saline, casein, or CO(NH(2))(2); the latter 2 treatments were infused at a rate of 40% of daily N intake. All pigs were fed a Val-limiting corn (Zea mays) starch and soybean (Glycine max) meal-based diet. Cecal N infusions did not affect apparent total tract digestibility of N (P > 0.05). The efficiency of using N [% of apparent ileal digestible intake; 72.9 ± 1.9, 84.9 ± 1.9, and 85.6 ± 2.3% (P = 0.01) for saline, casein, and CO(NH(2))(2), respectively] and Val (76.9 ± 1.9, 86.5 ± 1.9, and 86.5 ± 2.4; P = 0.02) for whole body protein and Val retention increased for casein and CO(NH(2))(2). Urea flux and urinary N excretion increased (P < 0.05) similarly for both N infusions, but this increase did not fully account for lower gut N disappearance. Lower gut N disappearance is in the form of NPN, which can be used for microbial AA production in the upper gut and should be considered when determining N and AA supply and requirements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.276
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2012
Admission routes1
Has abstractyes

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