Campus Units

Agronomy, Mechanical Engineering, Electrical and Computer Engineering, Genetics, Development and Cell Biology, Plant Sciences Institute

Document Type

Article

Publication Version

Published Version

Publication Date

5-16-2018

Journal or Book Title

Agronomy

Volume

8

Issue

5

First Page

73

DOI

10.3390/agronomy8050073

Abstract

Novel methods to increase crop productivity are required to meet anticipated demands for food, feed, fiber, and fuel. It is becoming feasible to use modern sensors and data analysis techniques for predicting plant growth and productivity based on genomic, phenotypic, and environmental data. To design and construct crops that deliver desired traits requires trained personnel with scientific and engineering expertise as well as a variety of “soft” skills. To address these needs at Iowa State University, we developed a graduate specialization called “Predictive Plant Phenomics” (P3). Although some of our experiences may be unique, many of the specialization’s principles are likely to be broadly applicable to others interested in developing graduate training programs in plant phenomics. P3 involves transdisciplinary training and activities designed to develop communication, teambuilding, and management skills. To support students in this demanding and unique intellectual environment, we established a two-week boot camp before their first semester and founded a community of practice to support students throughout their graduate careers. Assessments show that P3 students understand the transdisciplinary training concepts, have formed a beneficial and supportive community, and interact with diverse faculty outside of their home departments. To learn more about the P3 program, visit www.predictivephenomicsinplants.iastate.edu.

Comments

This article is published as Lawrence-Dill, Carolyn J., Theodore J. Heindel, Patrick S. Schnable, Stephanie J. Strong, Jill Wittrock, Mary E. Losch, and Julie A. Dickerson. "Transdisciplinary Graduate Training in Predictive Plant Phenomics." Agronomy 8, no. 5 (2018): 73. DOI: 10.3390/agronomy8050073. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

The Authors

Language

en

File Format

application/pdf

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