Where is the potential with hoggets?
Notice bibliographique
Résumé
The FarmIQ programme provided a great opportunity to explore new technologies and opportunities. At the Landcorp Stuart Farm in the Te Anau basin, Luke wright and his team chose to explore the opportunity to improve the performance of their lambing hoggets. Paul McGill, as the Landcorp FarmIQ director, as able to provide some analysis of the figures, and track the on-going performance of the hoggets as they went on to enter the ewe flock. We used the opportunity to see if we could use lucerne during lactation to make sure we had better lamb weaning weights, and that the hogget went on to be a good 2TH.\n\nThe first thing that we saw over the 2 year project was that hoggets on lucerne were able to gain weight, even while rearing a lamb, and a lot of this extra weight gain was during early lactation. Another property that emerged from this work was that when we could take the pressure off the lambing hogget on standard pasture (by putting some of the hoggets on lucerne) then we could get good live weights from them as well. Our hoggets were at 2TH mating weights by the time we weaned their lamb.\n\nInterestingly, the lambs on lucerne grew about the same rate as lambs on pasture. There were a couple of important points to note here. In both years, the lambs on lucerne were heavier than their pasture counterparts at docking, probably due to the intake of the hogget, producing more milk. The management of the lucerne when the lambs started eating was really important. In the first year when the growth was rapid and quite ‘soft’ (with a short rotation) then the lambs did not do quite so well and developed photosensitivity symptoms. In the second year, when we made the rotation length longer and ‘hardened the feed off’, we saw much better lamb weaning weights. So we need to make sure that the rotation lengths are kept reasonably long (30-35 days) rather than short (20-24 days).\n\nThe stocking rate on the lucerne was 2.3 hoggets higher than it was on pasture (at about 9.4), and was more consistent between years. However, the lamb losses were higher on the lucerne, for reasons we don’t fully understand. However, the result was consistent in both years. Overall, the productivity from the lucerne was much greater than from the pasture.\n\nFinally, when we followed the hoggets on into their 2TH year, we found that, although there wasn’t a great difference in tupping live weight (66 vs 64kg), the hoggets that were on lucerne (204%) did scan better than those that had been on pasture (187%) during lactation.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,105 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».