Red-legged Honeycreepers Breeding success with this beautiful South American species can be achieved!
Notice bibliographique
Résumé
I am sure many foreign softbill enthusiasts have dreamed of breeding Red-legged Honeycreepers (Cyanerpes cyaneus). I certainly did, as they were the first pair of softbills I owned way back in 1962! The male has a nuptial (breeding) and an eclipse (non-breeding) plumage, where virtually all the turquoise cap, blue, and black plumage changes to resemble the female. In order to breed them, the male must be in full color, and they are more likely to achieve breeding success in a planted aviary or flight, either indoors or outdoors during the summer months. They must also have access to a dry, heated indoor shelter during inclement winter months, especially in some European countries and states in the USA and Canada. In 1934, Mrs. K. Drake achieved the first UK breeding of Red-legged Honeycreepers. A breeding account was published in the Avicultural Society magazine in that year. While breeding success is not often recorded, they have been bred in Europe as well as the USA and South Africa. REMARKABLE BREEDING SUCCESS IN SOUTH AFRICA Fred Barnicoat, one of South Africa's most prominent aviculturists, has fulfilled that dream of breeding Red-legged Honeycreepers. Most of us would be happy with breeding them once, but Fred recorded a phenomenal success in rearing three nests of youngsters from the same pair. How did he realise this remarkable achievement? He accomplished this feat through diligence and perseverance, combined with total dedication and devotion to his birds and their welfare. Fred lives in Johannesburg, some 5600 feet (1800 metres) above sea-level. The winter nights can be freezing, but the dry sunny days quickly remove any frost - a completely different environment to that inhabited by Red-legged Honeycreepers in South America. While photographing and studying birds on a rainforest project in Colombia in 1991, I saw Red-legged Honeycreepers feeding in humid rainforest, at a height of only 330 feet (1800 metres) above sea level. Fred purchased his breeding pair in 1989. He spent a number of years moving them around from aviary to aviary, in the hopes that they would eventually settle down and breed. He tried various types of home-made nectars, supplied different fruits, persevered with live food, created planted aviaries, and experimented with nest sites - until finally, early in 1995, he accomplished the first breeding of his Red-legged Honeycreepers in a totally unexpected manner.
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Comment cette classification a été obtenuedéplier
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 | 0,001 |
| 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) | 0,003 | 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 tête enseignante, 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 ».