Factors Influencing Sudden Death Syndrome and Root Health in Soybean

Each year, soybean growers lose at least 14 percent (approximately $175,000,000 in Indiana) of their crop to disease. Root rots disease caused by particular species of Fusarium, Phytophthora, Rhizoctonia, Phialophora, and Macrophomina account for a significant portion of this annual yield loss and substantially increase yield losses above 14 percent in specific production areas in the Midwest. Yield losses due to diseases like Fusarium root rot, Phytophthora root rot, Rhizoctonia root rot, Brown stem rot, and Charcoal root rot caused by species of the fungi mentioned above have been recognized for a number of years and most soybean producers are somewhat familiar with disease symptoms associated with each disease. However, root rot damage and losses due to Sudden Death Syndrome, a relatively new soybean disease are not as well documented

The Uniform Soybean Tests: Northern States 2007

United States Department of Agriculture Agricultural Research Service, West Lafayette, Indiana, Cooperating with State Agricultural Experiment Stations, Northern States

The Uniform Soybean Tests: Northern States 2009

United States Department of Agriculture Agricultural Research Service, West Lafayette, Indiana, Cooperating with State Agricultural Experiment Stations, Northern States

Joint perceptual decision-making: a case study in explanatory pluralism.

Traditionally different approaches to the study of cognition have been viewed as competing explanatory frameworks. An alternative view, explanatory pluralism, regards different approaches to the study of cognition as complementary ways of studying the same phenomenon, at specific temporal and spatial scales, using appropriate methodological tools. Explanatory pluralism has been often described abstractly, but has rarely been applied to concrete cases. We present a case study of explanatory pluralism. We discuss three separate ways of studying the same phenomenon: a perceptual decision-making task (Bahrami et al., 2010), where pairs of subjects share information to jointly individuate an oddball stimulus among a set of distractors. Each approach analyzed the same corpus but targeted different units of analysis at different levels of description: decision-making at the behavioral level, confidence sharing at the linguistic level, and acoustic energy at the physical level. We discuss the utility of explanatory pluralism for describing this complex, multiscale phenomenon, show ways in which this case study sheds new light on the concept of pluralism, and highlight good practices to critically assess and complement approaches

The Uniform Soybean Tests: Northern Region 2005

United States Department of Agriculture Agricultural Research Service, West Lafayette, Indiana, Cooperating with State Agricultural Experiment Stations, Northern States

Reconstructing the Inflaton Potential

A review is presented of recent work by the authors concerning the use of large scale structure and microwave background anisotropy data to determine the potential of the inflaton field. The importance of a detection of the stochastic gravitational wave background is emphasised, and some preliminary new results of tests of the method on simulated data sets with uncertainties are described. (Proceedings of ``Unified Symmetry in the Small and in the Large'', Coral Gables, 1994)Comment: 13 pages, uuencoded postscript file with figures included (LaTeX file available from ARL), FERMILAB-Conf 94/189