Assessment of forage species and varieties for the central interior of British Columbia
Notice bibliographique
Résumé
1982 experiments were conducted to examine several aspects of forage quality in relation to animal nutrition, including the differences in quality between forage types (legumes or grasses), species and varieties; between years; between two hay mixes; and between three harvest dates. In addition, the importance of quality relative to yield is examined. In the first experiment, acid detergent fibre, neutral detergent fibre, crude protein, and nylon bag dry matter disappearance determinations were used to assess the variation in quality between forage types, species and varieties, and between years. In the second, voluntary dry matter intake and digestibility results were used to assess the variation in quality between hay mixes and harvest dates. The results of the first experiment indicate that the legumes were of higher quality than the grasses; red and alsike clover were of higher quality than alfalfa, and orchardgrass was of higher quality than timothy. With the exception of red clovers, where Lakeland and Pacific varieties were of higher quality than Altaswede, there was little difference in quality between varieties within a species. Neutral detergent fibre analysis results suggest a difference in intake between forages grown in different years while acid detergent fibre analysis results indicate no difference in digestibility would be expected between years. The results of the second experiment indicate there was a difference in quality between forage mixtures (the early maturing mixture was best), and harvests (early and mid bloom harvests were better than the late bloom harvest). The parameter with the largest variability was yield. Differences were greater between years than between types and species (the clovers highest, alfalfa and timothy intermediate, and orchardgrass lowest) with the least variation occurring between varieties within species. The red clover-timothy (late maturing) forage mixture was the highest yielding. Within forage mixtures the full bloom harvest (100% bloom of the legume component) had the highest yields. Since yield was more variable than the quality parameters studied, it was concluded that the most important consideration when selecting a forage mixture was yield. Since there tended to be little difference in quality parameters between varieties within a species, selecting the highest yielding combination would provide the largest amount of useable nutrients per hectare of land base.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».