Transdisciplinary Graduate Training in Predictive Plant Phenomics
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 desig...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-05-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2073-4395/8/5/73 |
| _version_ | 1818448315155480576 |
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| author | Carolyn J. Lawrence-Dill Theodore J. Heindel Patrick S. Schnable Stephanie J. Strong Jill Wittrock Mary E. Losch Julie A. Dickerson |
| author_facet | Carolyn J. Lawrence-Dill Theodore J. Heindel Patrick S. Schnable Stephanie J. Strong Jill Wittrock Mary E. Losch Julie A. Dickerson |
| author_sort | Carolyn J. Lawrence-Dill |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T20:17:33Z |
| format | Article |
| id | doaj.art-8f774cd930ab49cd8de2e19f92aab4da |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-12-14T20:17:33Z |
| publishDate | 2018-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-8f774cd930ab49cd8de2e19f92aab4da2022-12-21T22:48:49ZengMDPI AGAgronomy2073-43952018-05-01857310.3390/agronomy8050073agronomy8050073Transdisciplinary Graduate Training in Predictive Plant PhenomicsCarolyn J. Lawrence-Dill0Theodore J. Heindel1Patrick S. Schnable2Stephanie J. Strong3Jill Wittrock4Mary E. Losch5Julie A. Dickerson6Department of Genetics, Development and Cell Biology and Department of Agronomy, Iowa State University, Ames, IA 50011, USADepartment of Mechanical Engineering, Iowa State University, Ames, IA 50011, USADepartment of Agronomy, Iowa State University, Ames, IA 50011, USACenter for Behavioral Research, University of Northern Iowa, Cedar Falls, IA 50614, USADepartment of Political Science and Center for Behavioral Research, University of Northern Iowa, Cedar Falls, IA 50614, USADepartment of Psychology and Center for Behavioral Research, University of Northern Iowa, Cedar Falls, IA 50614, USADepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USANovel 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.http://www.mdpi.com/2073-4395/8/5/73T-trainingtrans-disciplinaryphenomicstraininggraduateeducation |
| spellingShingle | Carolyn J. Lawrence-Dill Theodore J. Heindel Patrick S. Schnable Stephanie J. Strong Jill Wittrock Mary E. Losch Julie A. Dickerson Transdisciplinary Graduate Training in Predictive Plant Phenomics Agronomy T-training trans-disciplinary phenomics training graduate education |
| title | Transdisciplinary Graduate Training in Predictive Plant Phenomics |
| title_full | Transdisciplinary Graduate Training in Predictive Plant Phenomics |
| title_fullStr | Transdisciplinary Graduate Training in Predictive Plant Phenomics |
| title_full_unstemmed | Transdisciplinary Graduate Training in Predictive Plant Phenomics |
| title_short | Transdisciplinary Graduate Training in Predictive Plant Phenomics |
| title_sort | transdisciplinary graduate training in predictive plant phenomics |
| topic | T-training trans-disciplinary phenomics training graduate education |
| url | http://www.mdpi.com/2073-4395/8/5/73 |
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