Characterization of the species of associated with corn seedlings in Delaware.

Corn (Zea mays L.) is the top grain crop by hectares grown in Delaware (DE). Increased pre- and post-emergence damping-off in corn caused by Pythium species have been observed in recent seasons.

Building Accelerated Plant Breeding Pipelines: Screening to Evaluate Lima Bean Resistance to Root-Knot Nematode in Diverse Inbred Lines and Segregating Breeding Populations.

Lima beans () are a cornerstone crop of Delaware's processing vegetable industry. Root-knot nematodes (RKNs; spp.) cause galling of root systems, which severely reduces yield.

Hydroclimatic Variability and Predictability: A Survey of Recent Research.

Recent research in large-scale hydroclimatic variability is surveyed, focusing on five topics: (i) variability in general, (ii) droughts, (iii) floods, (iv) land-atmosphere coupling, and (v) hydroclimatic prediction. Each surveyed topic is supplemented by illustrative examples of recent research, as presented at a 2016 symposium honoring the career of Professor Eric Wood. Taken together, the recent literature and the illustrative examples clearly show that current research into hydroclimatic variability is strong, vibrant, and multifaceted.

Impact of deforestation in the Amazon basin on cloud climatology.

Shallow clouds are prone to appear over deforested surfaces whereas deep clouds, much less frequent than shallow clouds, favor forested surfaces. Simultaneous atmospheric soundings at forest and pasture sites during the Rondonian Boundary Layer Experiment (RBLE-3) elucidate the physical mechanisms responsible for the observed correlation between clouds and land cover. We demonstrate that the atmospheric boundary layer over the forested areas is more unstable and characterized by larger values of the convective available potential energy (CAPE) due to greater humidity than that which is found over the deforested area.

Modeling the Exchanges of Energy, Water, and Carbon Between Continents and the Atmosphere.

Atmospheric general circulation models used for climate simulation and weather forecasting require the fluxes of radiation, heat, water vapor, and momentum across the land-atmosphere interface to be specified. These fluxes are calculated by submodels called land surface parameterizations. Over the last 20 years, these parameterizations have evolved from simple, unrealistic schemes into credible representations of the global soil-vegetation-atmosphere transfer system as advances in plant physiological and hydrological research, advances in satellite data interpretation, and the results of large-scale field experiments have been exploited.