The Basis for Cutworm (Lepidoptera: Noctuidae) Integrated Pest Management: Understanding Crop-Pest Interaction and Moth Community Structure in Prairie Agroecosystems
Notice bibliographique
Résumé
Cutworms and armyworms (Lepidoptera: Noctuidae) are part of a pest complex, native to North America, that causes sporadic economic damage to multiple annual crops grown across the Canadian Prairies. Both larvae and adults are generalist herbivores on a wide range of hosts from different plant families. Cutworm and armyworm life history and phenology has been well studied but the effects of agricultural practices on larval performance are unknown. Adults can disperse over long distances. There are no reliable monitoring tools developed to detect temporal or spatial changes in population density for most cutworm species. In order to develop an effective monitoring program, it is important to understand cutworm-crop interactions from both the individual and population levels. In this thesis, I take an Integrated Pest Management (IPM) approach to identify knowledge gaps on crop-cutworm interactions. The first component of this thesis focused on crop-cutworm interaction at the individual level. The influence of cereal crop variety (Poaceae) and fertilization regime were evaluated on the relationship between oviposition preference and larval performance of the true armyworm, Mythimna unipuncta (Haworth). Females prefer the lowest quality host, feed barley (Xena), that supported the lowest larval performance. The addition of fertilizer increased the nutrition quality of the host plants and enhanced the larval performance, however, females failed to assess the nutritional quality of the host and equally accepted fertilized and unfertilized hosts. The true armyworm does not exhibit the ‘mother know best’ principle on the tested hosts and potentially employs a bet-hedging strategy instead.The effect of crop species and fertilization regime on the larval performance and larval feeding preference were evaluated on the redbacked cutworm, Euxoa ochrogaster (Guenée), and pale western cutworm, Agrotis orthogonia (Morrison). Larval performance and preference were evaluated on three hosts: canola (Brassica napus L.) (Brassicaceae), field peas (Pisum sativum L.) (Fabaceae) and spring wheat (Triticum aestivum L.) (Poaceae). The redbacked cutworm has higher performance on canola and field peas, while pale western cutworm has higher performance on wheat. In multiple-choice feeding experiments, redbacked cutworm prefers canola over peas and wheat, while pale western cutworm prefers spring wheat over canola and peas. The effect of plant fertilization was tested using two plant hosts (canola and spring wheat) exposed to two fertilization regimes (unfertilized and fertilized). When fed unfertilized seedlings, redbacked cutworm has better performance on canola, whereas pale western cutworm has better performance on spring wheat. Fertilizer application enhanced the performance of both cutworms regardless of the crop species. Despite their generalist feeding behaviour, both cutworm species have larval feeding preferences that match the host plant with high performance. Canola-cereal crop is a common crop rotation schedule in the region, however, this tactic will not negatively impact cutworm performance.The second component of this thesis focused on crop-cutworm interactions at the population level, specifically on the adult stage of cutworms and the chemical ecology of feeding attractant volatiles. A series of field experiments were conducted to develop a food-based semiochemical to monitor the cutworm and armyworm pest complex with a single lure in Canadian Prairie agroecosystems. The combination of acetic acid and 3-methyl-1-butanol (AAMB) attracts noctuid pest moths. My approach was to enhance the attractiveness of the AAMB lure to monitor the redbacked cutworm moth in canola and wheat fields in central Alberta. I tested: 1) different release rates of AAMB released from different devices; and 2) the addition of other food-based semiochemicals to the AAMB lures. I also evaluated the attractiveness of volatile compounds released from Canada thistle as a potential lure to monitor noctuid pests; and 4) the influence of moth physiological state on the response to food-based semiochemicals. Results focus on food bait lure development to efficiently monitor multiple cutworm moth species with a single lure and reduced pollinator by-catch. Finally, I report on the diversity and abundance of noctuid moths trapped with food bait lures based on the volatile by-products of fermented sugar baits.
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 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 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».