4 resultados para Insect-plant interactions

em DRUM (Digital Repository at the University of Maryland)


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Fungal fruit rots and insect pests are among the most important problems negatively affecting the yield and quality of mid-Atlantic wine. In pathogenicity trials of fungi recovered from diseased Chardonnay and Vidal blanc grapes, Alternaria alternata, Pestalotiopsis telopeae, and Aspergillus japonicus were found to be unreported fruit rot pathogens in the region. Additionally, P. telopeae and A. japonicus had comparable virulence to the region’s common fruit rot pathogens. Furthermore, a timed-exclusion field study was implemented to evaluate vineyard insect-fruit rot relationships. It was found that clusters exposed to early-season insect communities that included Paralobesia viteana had a significantly greater incidence of sour rot than clusters protected from insects all season. These results were contrary to the current assumption that fall insects are the primary drivers of sour rot in the region. This research provides diagnostic tools and information to develop management-strategies against fungal and insect pests for mid-Atlantic grape growers.

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The overwhelming majority of flowering plant species depend on animals for pollination, and such pollinators are important for the reproductive success of many economically and environmentally important plant species. Yet pollinators in the Old World tropics are relatively understudied, particularly paleotropical nectarivorous bats (Pteropodidae), and much is unknown about their interactions with night-blooming plant species. To better understand these bat-plant pollination interactions, I conducted fieldwork in southern Thailand for a total of 20 months, spread across three years. I examined the foraging times of pteropodid bat species (Chapter 1), and found that strictly nectarivorous species foraged earlier, and for a shorter duration, than primarily frugivorous species. I also studied year-long foraging patterns of pteropodid bats to determine how different species track floral resources across seasons (Chapter 2). Larger species capable of flying long distances switched diets seasonally to forage on the most abundant floral species, while smaller species foraged throughout the year on nearby plant species that were low-rewarding but highly reliable. To determine which pteropodid species are potentially important pollinators, I quantified the frequency and effectiveness of their visits to six common bat-pollinated plant taxa for an entire year (Chapter 3). The three strictly nectarivorous species were responsible for almost all pollination, but pollinator importance of each bat species varied across plant species. I further examined the long-term reliability of these pollinators (Chapter 4), and found that pollinator importance values were consistent across the three study years. Lastly, I explored mechanisms that reduce interspecific pollen transfer among bat-pollinated plants, despite having shared pollinators. Using a flight cage experiment, I demonstrated that these plant species deposit pollen on different areas of the bat’s body (mechanical partitioning), resulting in greater pollen transfer between conspecific flowers than heterospecific flowers (Chapter 5). Additionally, while I observed ecological and phenological overlap among flowering plant species, pollinators exhibited high floral constancy within a night, resulting in strong ethological separation (Chapter 6). Collectively, these findings illustrate the importance of understudied Old World bat pollinators within a mixed agricultural-forest system, and their strong, interdependent interactions with bat-pollinated plant species within a night, across seasons, and across years.

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Microorganisms in the plant rhizosphere, the zone under the influence of roots, and phyllosphere, the aboveground plant habitat, exert a strong influence on plant growth, health, and protection. Tomatoes and cucumbers are important players in produce safety, and the microbial life on their surfaces may contribute to their fitness as hosts for foodborne pathogens such as Salmonella enterica and Listeria monocytogenes. External factors such as agricultural inputs and environmental conditions likely also play a major role. However, the relative contributions of the various factors at play concerning the plant surface microbiome remain obscure, although this knowledge could be applied to crop protection from plant and human pathogens. Recent advances in genomic technology have made investigations into the diversity and structure of microbial communities possible in many systems and at multiple scales. Using Illumina sequencing to profile particular regions of the 16S rRNA gene, this study investigates the influences of climate and crop management practices on the field-grown tomato and cucumber microbiome. The first research chapter (Chapter 3) involved application of 4 different soil amendments to a tomato field and profiling of harvest-time phyllosphere and rhizosphere microbial communities. Factors such as water activity, soil texture, and field location influenced microbial community structure more than soil amendment use, indicating that field conditions may exert more influence on the tomato microbiome than certain agricultural inputs. In Chapter 4, the impact of rain on tomato and cucumber-associated microbial community structures was evaluated. Shifts in bacterial community composition and structure were recorded immediately following rain events, an effect which was partially reversed after 4 days and was strongest on cucumber fruit surfaces. Chapter 5 focused on the contribution of insect visitors to the tomato microbiota, finding that insects introduced diverse bacterial taxa to the blossom and green tomato fruit microbiome. This study advances our understanding of the factors that influence the microbiomes of tomato and cucumber. Farms are complex environments, and untangling the interactions between farming practices, the environment, and microbial diversity will help us develop a comprehensive understanding of how microbial life, including foodborne pathogens, may be influenced by agricultural conditions.

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A large SAV bed in upper Chesapeake Bay has experienced several abrupt shifts over the past half-century, beginning with near-complete loss after a record-breaking flood in 1972, followed by an unexpected, rapid resurgence in the early 2000’s, then partial decline in 2011 following another major flood event. Together, these trends and events provide a unique opportunity to study a recovering SAV ecosystem from several different perspectives. First, I analyzed and synthesized existing time series datasets to make inferences about what factors prompted the recovery. Next, I analyzed existing datasets, together with field samples and a simple hydrodynamic model to investigate mechanisms of SAV bed loss and resilience to storm events. Finally, I conducted field deployments and experiments to explore how the bed affects internal physical and biogeochemical processes and what implications those effects have for the dynamics of the system. I found that modest reductions in nutrient loading, coupled with several consecutive dry years likely facilitated the SAV resurgence. Furthermore, positive feedback processes may have played a role in the sudden nature of the recovery because they could have reinforced the state of the bed before and after the abrupt shift. I also found that scour and poor water clarity associated with sediment deposition during the 2011 flood event were mechanisms of plant loss. However, interactions between the bed, water flow, and waves served as mechanisms of resilience because these processes created favorable growing conditions (i.e., clear water, low flow velocities) in the inner core of the bed. Finally, I found that that interactions between physical and biogeochemical processes led to low nutrient concentrations inside the bed relative to outside the bed, which created conditions that precluded algal growth and reinforced vascular plant dominance. This work demonstrates that positive feedbacks play a central role in SAV resilience to both chronic eutrophication as well as acute storm events. Furthermore, I show that analysis of long-term ecological monitoring data, together with field measurements and experiments, can be an effective approach for understanding the mechanisms underlying ecosystem dynamics.