The desire to resolve problems through pragmatic observation, systematic evaluation, and coordinated action persists with each new generation of researchers. A timeless task that bears individual, social, and often cultural characteristics, problem resolution is essentially an experiential process. Routine and methodology can enhance both its proce

Better experimental design and statistical analysis make for more robust science. A thorough understanding of modern statistical methods can mean the difference between discovering and missing crucial results and conclusions in your research, and can shape the course of your entire research career. With Applied Statistics, Barry Glaz and Kathleen M. Yeater have worked with a team of expert authors to create a comprehensive text for graduate students and practicing scientists in the agricultural, biological, and environmental sciences. The contributors cover fundamental concepts and methodologies of experimental design and analysis, and also delve into advanced statistical topics, all explored by analyzing real agronomic data with practical and creative approaches using available software tools. IN PRESS! This book is being published according to the “Just Published” model, with more chapters to be published online as they are completed.

Science for Agriculture was the first thorough quantitative and analytical treatment of the history of the U.S. agricultural research system and as such has served as the foundation for research over the 10 years since its publication. The benefits from public and private investment in agricultural research are immense and should be understood by every student of the agricultural science system in the United States. The second edition updates important landmarks, components, characteristics, and trends of the U.S. system for developing and applying science to increase the productivity and advancements of agriculture. Science for Agriculture, 2e, is essential reading for agriculture educators and researchers, Land Grant administrators, food and agri-industry R&D and all others who need to understand the factors that will influence future public agricultural research policy.