Digestibilité in vitro des ressources utilisées dans l’alimentation des ruminants en zone semi-aride du Cameroun
Bibliographic record
Abstract
L’objectif de cette étude était de déterminer la digestibilité des ressources alimentaires utilisées dans l’alimentation des ruminants en zone semi-aride du Cameroun. Ces ressources alimentaires ont été collectées dans les élevages de bovin puis ramenées au laboratoire. Après séchage à l’étuve, elles ont été broyées, tamisées puis conservées dans des bocaux hermétiquement fermés. Chaque substrat ainsi préparé a été soumis à l’évaluation de la digestibilité in vitro. Après 24 heures d’incubation, les sons de maïs et de sorgho ont produit plus de gaz (p ˂ 0,05) avec respectivement 250,20 ± 10,48 ml/gMS et 245,26 ± 2,83 ml/gMS par rapport aux autres substrats. Le son de maïs présente un taux de digestibilité de la matière organique le plus élevé de 62,57%. Il est suivi des fanes de niébé et d’arachide avec respectivement des taux de digestibilité de 61,38% et 61,16%. La masse microbienne produite après 24 heures d’incubation, donne un classement des substrats autre que la teneur en énergie métabolisable et la production des acides gras volatils. Après le son de sorgho, le son de riz a été le deuxième substrat en termes de masse microbienne produite avec respectivement 312,57 mg et 258,57 mg. Ces données mises à la disposition des éleveurs peuvent faciliter l’utilisation rationnelle des ressources alimentaires, ce qui pourrait améliorer la productivité des ruminants en zone semi-aride du Cameroun. The objective of this study was to determine the digestibility of the food resources used in the ruminants feeding in the semi-arid zone of Cameroon. The food resources were collected from cattle farms and then taken to the laboratory. After drying in the oven, these resources were crushed, sieved and then stored in tightly closed jars. Each substrate prepared was subjected to the In vitro digestibility evaluation. After 24 hours of incubation, the maize and sorghum bran produced more gas (p ˂ 0.05) with respectively 250.20 ± 10.48 ml / gDM and 245.26 ± 2.83 ml/gDM compared to other substrates. With regard to organic matter, corn bran was the most digestible substrate with 62.57%, followed by cowpea and peanut fades with 61.38% and 61.16% respectively. The classification of substrates obtained from the microbial mass produced after 24 hours of incubation differs from that obtained from the metabolizable energy. After the sorghum bran, rice bran is the second substrate in terms of microbial mass produced with 312.57 mg and 258.57 mg respectively. Access to these data can facilitate the rational use of locally available food resources. This could improve the productivity of ruminants in the semi-arid zone of Cameroon.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".