DISSERTATION RESEARCH: Predicting the Combined Effects of Plant Resistance and Natural Enemies on Plant Fitness
DISSERTATION RESEARCH: Predicting the Combined Effects of Plant Resistance and Natural Enemies on Plant Fitness
批准号:
0407859
负责人:
William Morris
金额:
$0.79万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-06-15 至 2007-05-31
中文摘要
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英文摘要
ABSTRACTPlants often produce chemical defenses that reduce herbivore feeding, but those chemicals may also have a negative effect on predators which, by attacking herbivores, also reduce herbivore damage to plants. This research asks whether the negative effect of plant defense on predators is sufficient to cause more chemically defended plants to grow less well or to produce fewer seeds; in addition, the PIs will detect whether the degree of interference between chemical defense and predators differs for different types of plants, herbivores, and predators. Using beetles feeding on soybean plants, earlier work found that a predator was more effective in decreasing herbivore damage and increasing seed production on plants with few resistance chemicals than on heavily defended plants. In this research, we will explore whether the negative effect of soybean defense on predators is influenced by the type of chemical defense (permanent vs. transient), the diet breadth of the herbivore (a single vs. multiple plant species), and the predator's feeding method (consuming the prey externally vs. as an internal parasite). These experiments may help to explain why some plant species produce defenses only after they receive herbivore damage, while other plants are always defended. The results of these experiments should improve our understanding of when plant chemical defense will enhance or detract from the positive benefits plants receive when predators attack herbivores, and could also could help to determine when releasing predators to control insect pests on soybeans and other agricultural plants may be more or less effective.
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REU: Using Mathematical Models of Pollinator Movement and Pollen Deposition to Predict Gene Flow in Plants
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Computer Terminal Components For Paleontological Studies Of Interference Holography Diagrams
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Restructuring the Undergraduate Learning Environment
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