Robert C. Venette

TL;DR: The ET developed here is strongly supported through soybean growth stage R5, which provides a 7-d lead time before aphid populations are expected to exceed the economic injury level (EIL) and exposes a larger portion of the soybean aphid population to selection by insecticides, which could lead to development of insecticide resistance.

TL;DR: A model captures the stochastic and dynamic aspects of this trade-off by incorporating a detection stage in which the agency managers choose search effort prior to the post-detection control stage, illustrating that the optimal detection strategy depends primarily on the ‘detectability’, or ease of detection, and the biological relationships of each distinct species.

TL;DR: The need for pest risk maps is described, a comparison of pest risk mapping methods is compared, and future research to improve such important decision-support tools is recommended.

TL;DR: Two methods of climate comparison suggest that the aphid may ultimately be present in all soybean producing areas of the United States, however, the severity of infestations within these areas is likely to vary considerably in space and time.

TL;DR: The hypotheses that management of the soil food web in the fall would enhance grazing on bacteria and fungi by microbivorous nematodes in the spring, consequently increasing N availability in cover-crop driven organic and low-input farming systems were tested.