Variability in competitive ability and mortality rates : the ability of transgenic coho salmon (Oncorhynchus kisutch) to survive in the wild
Notice bibliographique
Résumé
into the field of transgenic research and the possibilities it provides for exploring aspects of animal behaviour and ecology.Through his guidance and support I was able to complete my degree and maintain the desire to continue my education in the field of scientific research.I would like to acknowledge my committee members, G. Eales, J' Hare and S' Mclachlan, for the time that they have committed to provide constructive comments at various stages of the development of this project.Their input has been verybeneficial' Many thanks to R. Devlin who provided me with the fish and research facilities so that I could carry out my experiments.In addition, he offered a great deal of support while I was conducting my research at west vancouver Lab.I am also very grateful to c' Biagi, who completed all PCR analysis required for this project.I would like to express my gratitude to friends and family who provided encouragement through all the trials and tribulations of conducting graduate work' This includes, of course, my parents, who I can always count on for constant support and motivation.'W.Kulzer, who always had time time for coffee, and my labmate T' Robb were always available with a sympathetic ear' Last of all, I would not have been able to complete this project without the support of my husband, J. Tymchuk.His help at all stages of this research was much appreciated' as was his ability to maintain my sense of humour through it all' Thank you' ABSTRACT Coho salmon (Oncorhynchus kisutch) have been genetically altered to produce growth hormone without regulatior¡ causing them to grow on average 1l times larger than control fish after one year of growth.This technology has important benefits for the aquaculture industry, but the environmental risk associated with the escape of transgenic fish into the wild is not known.To partially address this issue, I experimentally investigated how well transgenic salmon suwived under semi-natural conditions.If transgenic salmon retain their growth advantage under natural conditions, one can predictthat they must also be more effective at competing for food than wild salmon, and willing to suffer higher mortality rates while foraging.Two experiments were designed to test this hypothesis.The first tested the relative competitive ability of transgenic and control salmon using an unequal competitors ideal free distribution.A larger proportion of transgenic salmon were found at the high quantity food source, leading to the conclusion that they were more superior at securing higher quantity food resources.The second tested the relative mortality rates of transgenic and control salmon by providing them with the option to feed in the presence of a predator.There was no significant difference in mortality rates between the two groups.An individual-based population model was developed to examine the relative survival of transgenic fish in the natu¡al environment.Results from the model indicated that under certain environmental conditions, transgenic fish had survival rates equal to the wild type individuals.My preliminary results did not provide conclusive evidence that transgenic fish would be unable to survive in the wild indicates that care must be taken to insure these growth-enhanced individuals are not released into the environment.
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 | 0,000 | 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».