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Record W1981292340 · doi:10.5539/sar.v3n1p18

Effects of Prelay Supplementations of Graded Levels of Alphamune R G on the Performance of Laying Hens

2013· article· en· W1981292340 on OpenAlexvenueno aff
Babawale Oluseyi, Bolu Stephen A., Olonijolu Tosin

Bibliographic record

VenueSustainable Agriculture Research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsHaugh unitAnimal scienceLayingFeed conversion ratioBiologyCompletely randomized designBody weightWeight gainEndocrinology

Abstract

fetched live from OpenAlex

This study was carried out to determine the effects of age at prelay (15 and 19 weeks) and dietary supplementation of graded levels of Alphamune G (0.00, 0.04, 0.05, 0.06%) on laying performance of pullet chickens. The experiment period was 17 weeks and completely randomized design was employed. Feed intake, nutrient retention, weight gain and feed to gain ratio values were similar (p > 0.05) among birds fed the different dietary inclusion levels of Alphamune G. Hen day production, Haugh unit and Albumen height were significantly high (p < 0.05) for laying hens of fed the control diet. There was also interaction effect of Alphamune G and Age. The interaction of Alphamune G and Age gave the highest value in laying hens of group B fed the 0.05% diet when compared to the control. However, birds fed the 0.06% Alphamune G inclusion level gave the best result in terms of Production characteristics, Cost to benefit ratio expressed as Cost of feed to produce a Dozen Egg and Egg Quality. Also birds of group B gave better results than that of group A except in the Haugh unit value.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

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 integrity0.0000.001
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 head0.036
GPT teacher head0.290
Teacher spread0.254 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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