Record Details

Improving the Forage Species Selection Process through Research and Teaching Projects

ScholarsArchive at Oregon State University

Field Value
Title Improving the Forage Species Selection Process through Research and Teaching Projects
Names Randow, Brianna Lyn (creator)
Hannaway, David B. (advisor)
Date Issued 2015-06-01 (iso8601)
Note Graduation Date: 2015
Abstract Species selection is a complex process that forage producers and land managers face. Accurate tools and educational materials are needed to help make the decision process easier. Crop simulation models are one tool that could be utilized to predict yield and potential financial return of various species. Two crop simulation models, IFSM and ALMANAC, were evaluated and compared using historical variety trial yield data from grass and alfalfa sites of the Central Oregon Agricultural Research Center. Results indicate that additional research is needed to create a crop simulation model that is sufficiently accurate for central Oregon's growing conditions.

Extension publications dealing with species selection typically provide generalized guidance rather than location-, intended use-, and management-specific recommendations. Comprehensive, integrated educational materials are needed for the complex process of species selection. Adult learning theories were used to design an educational module about species selection for the International Forage and Grasslands Curriculum. Following the development of learning objectives, content and assessments were created using the learning objectives as a guide. This module will allow forage producers to learn more about the complex process of species selection and become more knowledgeable about which species should be utilized in their operations.
Genre Thesis/Dissertation
Topic Forage plants -- Selection
Identifier http://hdl.handle.net/1957/56065

© Western Waters Digital Library - GWLA member projects - Designed by the J. Willard Marriott Library - Hosted by Oregon State University Libraries and Press