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Record W2990227650 · doi:10.1139/cjas-2019-0079

Meat fatty acid and purine derivatives in hair lambs in tropical climates

2019· article· en· W2990227650 on OpenAlexvenueno aff
Ana Cláudia Nascimento Campos, Monalisa Eva Santos Evangelista, José Nery Rocha, Luciano Pinheiro da Silva, Leílson Rocha Bezerra, Ronaldo Lopes Oliveira, Rafael Nogueira Furtado, Maria Socorro Souza Carneiro, J. G. de Souza, Elzânia Sales Pereira

Bibliographic record

VenueCanadian Journal of Animal Science · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsNutrientPolyunsaturated fatty acidFatty acidAnimal scienceBiologyFactorial experimentChemistryFood scienceBiochemistryEcology

Abstract

fetched live from OpenAlex

An experiment was conducted to evaluate the effects of feed restriction and sex class on the intake and digestibility of nutrients as well as meat fatty acid profiles in Santa Ines lambs. Thirty lambs with initial body weights of 13 ± 1.49 kg and ages of 60 d were used in a completely randomized study with a 3 × 2 factorial arrangement consisting of three feeding levels (0 or ad libitum, 30%, and 60% feed restriction) and two sex classes (15 intact male and 15 castrated male), comprising five animals in each treatment. The experimental trial lasted 100 d. Increased feed restriction levels resulted in lower intake (P < 0.001) and higher digestibility of nutrients. There were decreases (P < 0.05) in the excretion of nitrogen compounds and purine derivatives when feed restriction increased. The feed restriction decreased (P < 0.05) the concentrations of C18:2n6 and C18:3n3 in the meat but did not affect the C18:2c9t11. The ratio of polyunsaturated fatty acids:monounsaturated fatty acid was higher in the 60% feed restriction. The results suggest that feed restriction improves nutrient utilization efficiency. The feed restriction up to 30% leads to a higher concentration of saturated fatty acids in meats.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.020
GPT teacher head0.232
Teacher spread0.212 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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