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Record W3203575902

LA FARINE DE FEUILLES DE MORINGA OLEIFERA LAM, UN FACTEUR DE DÉVELOPPEMENT DE LA TILAPIACULTURE (OREOCHROMIS NILOTICUS, LINNAEUS 1758) AU MALI

2020· article· fr· W3203575902 on OpenAlexaff
Grant W. Vandenberg, Hawa Coulibaly, Alain Olivier

Bibliographic record

VenueRevue Malienne de Science et de Technologie · 2020
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicMoringa oleifera research and applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMoringaOreochromisMealTilapiaBiologyAnimal scienceBody weightFish <Actinopterygii>FisheryFood science
DOInot available

Abstract

fetched live from OpenAlex

AbstractA study was carried out to evaluate the impact of Moringa oleifera leaf meal fed to Oreochromis niloticus(Linnaeus, 1758) growth performance. Two diets, R0 and R20, respectively containing 0 and 20% of groundmoringa leaf meal were formulated. Two hundred and eighty juvenile tilapia of 2 size classes (6.87 ± 0.04 and97.1± 0.2 g) were distributed according to the average mass in two batches. After 28 days of experimentation,the final average mass were 23 ± 0.65 and 26.7 ± 2.69 g in small fish versus 144.0 ± 15.7 and 176.2 ± 10.8 g forthe large cohorts according to the treatments. Highest growth rates and food conversion were obtained by the R0food. Statistical analysis shows no significant difference (P > 0.05) between the two modes for the food indexconversion, as well at the small ones as in large fishes. The quantity of food necessary to produce an increase inthe live weight in fishes was thus not significantly different, inside the same group of fishes, for the two modessuggested. Moringa leaf meal can thus be used for the development of tilapiaculture.Keywords: Food, Tilapia, Moringa, Index of appetite, Growth, Food index conversion

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)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.302
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0010.002
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 head0.037
GPT teacher head0.324
Teacher spread0.287 · 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.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueRevue Malienne de Science et de TechnologieSame topicMoringa oleifera research and applicationsFrench-language works237,207