Assainissement de l’environnement par la valorisation des ressources non conventionnelles en alimentation de porcs en croissance
Bibliographic record
Abstract
La présente étude s’est intéressée à la comparaison des performances zootechniques et économiques des porcs nourris avec des aliments commerciaux et des aliments non conventionnels. Au total, 90 porcelets métis (race locale X Large white) âgés de 60 à 90 jours dont 45 mâles castrés et 45 femelles, ont été répartis en 15 lots de 6 animaux, à raison de 3 loges de 6 porcelets par traitement alimentaire. Chaque lot a été nourri à volonté avec un aliment commercial et quatre aliments contenant différents taux de Azolla, Moringa, son de riz, viscères de poulet Cobb 500 et de poisson Oreochromis niloticus. Une différence significative (P < 0,05) a été notée entre les gains moyens quotidiens (GMQ). Après 90 jours d’expérimentation, les GMQ étaient de 197g/j pour les porcs du lot à aliment commercial et de 63 à 101g/j pour ceux soumis aux aliments à base de ressources non conventionnelles. Il ressort des calculs économiques que le coût alimentaire (Ca) par kg de gain de poids (GP) était plus faible pour l’aliment non conventionnel (716 FCFA/kg GP) par rapport à l’aliment commercial (830 FCFA/kg GP). Il est donc possible d’utiliser ces ressources non conventionnelles pour nourrir de façon efficiente des porcs dans un système intégré d’exploitations familiales tout en rendant l’environnement sain.© 2015 International Formulae Group. All rights reserved.Mots clés: Aliment, performance, porcs, rentabilité économiqueEnglish AbstractThe present study was focused on the comparison of zootechnic and economic performance of pigs nourished with commercial and non-conventional feed. In total, 90 crossbred piglets (Landrace x Large white) aged 60 to 90 days with 45 castrated males and 45 females, were divided into 15 groups of 6 animals at the rate of 3 lodges of 6 piglets per treatment. Each batch was fed ad libitum with commercial feed and four feed containing different levels of Azolla, Moringa, rice bran, chicken Cobb 500 and fish Oreochromis niloticus viscera. A significant difference (P < 0.05) was observed between Average Daily Gain (ADG). After 90 days of experimentation, the ADG were 197 g / day for pigs nourished with commercial feed and 63 to 101 g / day for those subjected to feed made from unconventional resources. It emerges from the economic calculations that the feed cost (Ca) per kg of Weight Gain (WG) was lower for non-conventional feed (716 FCFA / kg WG) than the commercial feed one (830 FCFA / kg WG). It is therefore possible to use these unconventional resources efficiently to feed pigs in an integrated system of family farms while making healthy environment.© 2015 International Formulae Group. All rights reserved.Keywords: Feed, performance, pigs, economic profitability
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".