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Record W3111325046 · doi:10.4314/ijbcs.v14i5.12

Optimisation de l'utilisation du <i>Panicum maximum</i> C1 <i>Aeschynomene histrix, Stylosanthès hamata</i> et,<i> Arachis pintoï</i> sur les performances zootechniques des lapins

2020· article· fr· W3111325046 on OpenAlexaff
Youssoufou Sana, Jacob Sanou, S.R. Kondombo, Louis Sawadogo, Chantal Kaboré-Zoungrana

Bibliographic record

VenueInternational Journal of Biological and Chemical Sciences · 2020
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAgriculture and Rural Development Research
Canadian institutionsMinistère des Ressources naturelles et des Forêts (Québec)
Fundersnot available
KeywordsPanicumBiologyHorticultureForestryBotanyGeography

Abstract

fetched live from OpenAlex

Au Burkina Faso l’alimentation des animaux pendant la saison sèche constitue le premier contraint du développement de l’élevage. Cette étude a pour but d’évaluer l’effet d’une alimentation à base de Panicum maximum C1, Aeschynomene histrix, Stylosanthès hamata, Arachis pintoï sur les performances zootechniques des lapins. Le dispositif expérimental a été réalisé sur la Station de Recherche de Farako-Bâ. Au total, neuf (9) lapins mâles (Oryctolagus cuniculus L.) âgés de dix (10) semaines et pesant en moyenne (790 ± 39,04g) chacun, ont été répartis dans 3 cages de volume: 42 cm x 63 cm x 39 cm soit un volume de 103194 cm3 chacune. Ces lapins ont été répartis en trois (3) lots de trois (3) lapins chacun. Les lots ont reçu les rations suivantes: la ration1du lot1(R1L1) était composée de l’aliment Panicum maximum C1, Aeschynomene histrix ; la ration 2 (R2L2), Panicum maximum C1, Stylosanthès hamata et la ration 3 (R3L3), Panicum maximum C1, Arachis pintoï. A chaque ration on a ajouté du son de maïs et de riz et du sel. Les lapins nourris à la ration R3L3, ont eu un gain moyen journalier de 9,13±4,33 g/j contre 8,51±2,22g/j pour R1L1 8,90±3,33g/j pour R2L2. Une différence non significative (p > 0,05) est observée entre les trois rations. La ration R3L3 donne de bonnes performances zootechniques et constitue un atout économique pour les cunicultures.Mots clés : lapins, rations, gain moyen quotidien, alimentation English title: Optimization of the use of Panicum maximum C1 and Aeschynomene histrix, Stylosanthes hamata and, Arachis pintoï on the zootechnical performance of rabbitsIn Burkina Faso feeding animals during the dry season is the main constraint on livestock development. This study aims to evaluate the effect of a diet based on Panicum maximum C1, Aeschynomene histrix, Stylosanthès hamata, and Arachis pintoï on the zootechnical performance of rabbits. The experimental device was carried out at the Farako-Bâ Research Station. A total of nine (9) male rabbits (Oryctolagus cuniculus L.) aged ten (10) weeks and weighing on average (790 ±39,04g) each, were distributed in three volume cages: 42 cm x 63 cm x 39 cm, each having a volume of 103194 cm3. These rabbits were divided into three (3) lots of three (3) rabbits each. The lots received the following rations: ration1 of Lot 1(R1L1) consisted of the food Panicum maximum C1 and Aeschynomene histrix; ration 2 (R2L2), Panicum maximum C1 and Stylosanthès hamata and ration 3 (R3L3), Panicum maximum C1, Arachis pintoï. Corn and rice bran and salt was added to each ration. Rabbits fed R3L3, had an average daily gain of 9,13±4,33 g/d compared to 8,51±2,22g/d for R1L1 and 8,90±3,33g/d for R2L2. There was no difference between the three rations (p > 0.05) but the R3L3 ration provides good zootechnical performance and is an economic asset for cuniculture.Keywords: Rabbits, rations, average daily gain, feed.

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 score0.006
Threshold uncertainty score0.013

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.259
Teacher spread0.219 · 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".

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Citations1
Published2020
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