Abstract

Grape production is a significant industry in the U.S. and abroad, and is negatively impacted by diseases such as powdery mildew and downy mildew. Selecting vines that are disease resistant and have good fruit quality requires organized record-keeping and the ability to find useful trends in the data. In the Cornell Grape Breeding Program, and many others, data is stored in outdated systems, excel spreadsheets, and paper books; the need for a new data management system specific to grapes is prevalent. The Breeding Management System (BMS) is a crop breeding data management system that is well suited for the organization and storage of breeding data. The use of the BMS for grape breeding was explored, and several extensions to the functionality of the BMS were developed. The most significant extension is the design of a graphical search tool, allowing users to search for vines based on the name of the vine, parents of the vine, experiments in which the vine appears, and observed values in experiments. An ontology was defined to organize the experimental data collected, and a pipeline was created to allow researchers to record data in an audio format, which will be converted into an excel spreadsheet. The development of the system is successful because it centralizes data storage into a common format and system, allows for the extraction of relevant experimental and vineyard data, and allows for the identification of well performing vines over single and multiple traits.

Publication Date

5-18-2016

Document Type

Thesis

Student Type

Graduate

Degree Name

Bioinformatics (MS)

Department, Program, or Center

Thomas H. Gosnell School of Life Sciences (COS)

Advisor

Michael Osier

Advisor/Committee Member

Lance Cadle-Davidson

Advisor/Committee Member

Gregory Babbitt

Campus

RIT – Main Campus

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