PlantHormones&ApplPlantPhysiol

The influence of naturally occurring plant hormones on regulating physiology, growth, and development in plants. Also, the uses and potential uses of synthetic plant growth regulators, cultural techniques, and horticultural practices to improve the production of food, fiber and ornamental plants. Prerequisites: introductory plant science course, PLNTSOIL 397P recommended.

S-Topics in Plant-Path Intract

Agricultural technologies have revolutionized the way we manage crops since the dawn of time. In the post-genome era, plant pathologists have a new generation of tools that are ripe with the potential to influence how we manage plant diseases. During this journal club we will focus on research papers and case studies that illustrate how new technologies can be used to build our knowledge base and how new findings can influence disease management.

Research Literature

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.

Soil Fertility

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: PLNTSOIL 102 and 105 (or equivalents), CHEM 110 or 111.

InorgContmnts/Soil,Water,Sdmnt

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.

ST-Data Analysis & Interprtatn

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.
Subscribe to