One of the key issues threatening plant production in agriculture and the landscape is plant disease, particularly growing threats from new infectious pathogens. In this journal club we will focus on research papers that describe plant-microbe interactions, with specific reference to plant diseases and their management. Modern ?omic? methods have greatly increased understanding of how pathogens attack plants, how plants defend themselves, and how non-pathogenic microbes play a role in disease defense.

This is an independent study project that allows graduate students to conduct an extensive literature review prior to conducting thesis research. Grading will be based on the quality of the written literature review as evaluated by each student's thesis/dissertation advisor.

Review and discussion of concepts and issues related with turfgrass diseases. Reading of scientific papers and trade journals required each week. Guest speakers from turfgrass industry present many of the topics and lead subsequent class discussion. Prerequisite: STOCKSCH 505.

The role of mineral elements in the growth of plants; plant response to fertilizers and other soil amendments; soil reaction, mineral deficiencies and toxicities; environmental impact of soil fertility management practices. Prerequisites: STOCKSCH 102 and STOCKSCH 105 (or equivalents), CHEM 110 or 111.

Description not available at this time

Physical, chemical, and biological factors affecting the fate and transport of inorganic contaminants (including heavy metals) in soil, water and sediment. Sources, chemistry, pedogenic and geochemical behavior of these contaminants and methods used for their analysis. Risk assessment, and remediation technologies, options, and goals. Prerequisites: CHEM 111 & 112, knowledge of college algebra, basic soil science, and transition metal chemistry, or permission of instructor.

Not available at this time.

Informal discussion class, focusing on students' problems, concerns, or enthusiasm with their own experimental designs, data analyses, or interpretations of results, including computer- (particularly SAS) generated output. New techniques presented by the instructor or guest instructors as requested by the class. Students gain practical experience with data analysis and a better understanding of the approaches necessary for their own thesis or dissertation work. Prerequisite: PLNTSOIL 661 or other course in intermediate statistical analysis.

Same as PLNTSOIL 793A; required of doctoral candidates.

Doctoral candidates attend weekly seminar meetings which cover various topics.