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High Throughput Field Phenotyping

  • Photo: 
    Håkon Sparre

NOVA PhD course of 5 ECTS, organised by Morten Lillemo, Researcher, Norwegian University of Life Sciences.
NEW DATES: Course dates and location: June 21-25. 2021, Norwegian University of Life Sciences, Norway.

The course is the third course in the NOVA PhD course series "Phenotyping Technologies in Plant-environment Interactions" which is scheduled for 2018-2021:

Course Description
The changing climate demands developing faster breeding methods to provide effective solutions for the future agriculture. This course aims to introduce the emerging research fields of high throughput plant phenotyping used for plant-environment interactions, with a focus on field phenotyping methodologies and data related analysis.  

Content
The course series aims to introduce the emerging technologies related to
i) controlled environments that allow simulations and testing future climatic conditions,
ii) automated and image based plant phenotyping technologies that are to remove bottlenecks in between genotype to phenotype screens,
iii) high throughput field phenotyping technologies and
iv) bioinformatics and R-computing that are required for the deeper understanding of the molecular networks. The objective of the course series is to provide the participating students with the basic knowledge and understanding of the emerging fields of plant phenomics and data processing that can serve breeding efforts in modern agriculture.

Programme Outline
The following topics will be covered:

  • Field phenotyping methodologies
  • Data processing and analysis of UAV images from field trials
  • Low-cost phenotyping methods
  • Chlorophyll fluorescence technologies in plant phenotyping
  • Transcriptomics technologies and R-computing of time course data

Workshops with hands-on training in field phenotyping methods

Journal club: student presentations of pre-assigned literature in groups.

Pre-/Post-Campus Assignments
Pre campus assignments: phenotyping experiment online, literature review for journal club
Post campus assignments: learning diaries based on lectures, drafting a research plan, course reports

Learning Outcomes
Participation in lectures and daily learning diaries (2 ECTS)

  • knowledge about the whole range of analysis sensors available for plant phenotyping
  • knowledge about standard data analysis pipelines for field phenotyping data
  • gaining understanding of the opportunities and challenges in experimental design in plant phenotyping

Participation in the workshops (1 ECTS)

  • gaining hands on experience in plant-environment treatments, image based data acquisition, and molecular omics technologies, and data processing

Literature study, presentation and a research plan as pre and post assignments (2 ECTS)

  • gaining deeper understanding of the chosen biological process and chosen technology through own study
  • application of gained knowledge in the research plan

Evaluation Elements
Active participation in assignments and workshops, presentation, submission of learning diaries and post-assignments (research plan).

Pedagogical Approach
Student activation by introductory pre-course assignments, in depth scientific lectures, hands-on experience during work shops and post-course assignments that allow application of the gained knowledge.

Estimated Workload

  • 15 hours seminar
  • 15 hours lecture
  • 90 hours independent work
  • 30 hours other

Prerequisite Knowledge
MSc degree in a relevant field is required. Relevant fields: agriculture, biological and environmental sciences.

Admission
Admission for NOVA courses is handled by the course organiser/ the NOVA member institution organising the course. Please see the links in the margin for more information.

Apply here
(to be updated)

Costs
(to be updated)

 

*Please note that the organising of the course scheduled for 2021 will be dependent on the student evaluations of previous courses within the series, as well as the yearly NOVA course budget.

Published 16. October 2019 - 12:41 - Updated 21. April 2020 - 9:30