Climate change is now widely understood to be impacting food supplies. Ensuring future food security will require understanding how climate change will affect crop yields in different agricultural systems and the design of appropriate measures for adaptation. This may require breeding new traits, new agronomic practises or switching to crops better adapted to future weather.
Oilseed rape is an important and profitable crop in the United Kingdom, but its yield is highly variable depending on the weather in each growing season. Because of the large effects of weather on yield, oilseed rape is likely to be vulnerable to climate change, but there is currently no basis for predicting the impact of climate change on yields.
This project aims to bring together crop and climate models to generate new tools for predicting how oilseed rape crops will be affected in future climate scenarios. Using these tools you will explore the potential of proposed adaptation measures to inform agricultural policy and planning.
The specific steps will be:
1.Test and improve crop models to effectively simulate known effects of past weather and climate on UK oilseed rape yields.
2.Generate climate change predictions for UK and Europe and feed these into crop models to understand how yield will be affected in different scenarios.
3.Design and test adaptation strategies by modelling and on the experimental farm, in collaboration with the field trials team.
The successful applicant will receive an exciting opportunity to be trained in computational and statistical approaches to understanding climate change impacts, and in relevant agricultural physiology. Farm experiments will be undertaken by a dedicated field trials team, under the direction of the student. The student will be based at the John Innes Centre and at the Tyndall Centre for Climate Change Research at the UEA.
Applicants with science degrees are welcome if a strong numerical background can be evidenced. Experience in at least one programming language (e.g. R) is preferred.
More information on the supervisor for this project: https://www.jic.ac.uk/directory/steven-penfield/
Type of programme: PhD
Start date: October 2020
Mode of study: Full-time or part-time
Studentship length: 3.5 years
Eligibility requirements: First degree in numerical subject such as Maths, Statistics, Computer Science or Physics
This project has been shortlisted for funding by the ARIES NERC Doctoral Training Partnership, and will involve attendance at mandatory training events throughout the PhD.
Shortlisted applicants will be interviewed on 18/19 February 2020.
Successful candidates who meet UKRI’s eligibility criteria will be awarded a NERC studentship. UK and EU nationals who have been resident in the UK for 3 years are eligible for a full award.
Excellent applicants from quantitative disciplines with limited experience in environmental sciences may be considered for an additional 3-month stipend to take advanced-level courses in the subject area.
For further information, please visit View Website
Yield instability of winter oilseed rape modulated by early winter temperature. Brown JKM, Beeby R, Penfield S. Sci Rep. 2019 May 6;9(1):6953.
The projected effect on insects, vertebrates, and plants of limiting global warming to 1.5°C rather than 2°C. Warren R, Price J, Graham E, Forstenhaeusler N, VanDerWal J. Science. 2018 May 18;360(6390):791-795.
Ray, D. K., Gerber, J. S., MacDonald, G. K. & West, P. C. Climate variation explains a third of global crop yield variability. Nat. Commun. 6, 5989 (2015).
James R. Hunt, Julianne M. Lilley, Ben Trevaskis, Bonnie M. Flohr, Allan Peake, Andrew Fletcher, Alexander B. Zwart, David Gobbett, John A. Kirkegaard. Early sowing systems can boost Australian wheat yields despite recent climate change. Nature Climate Change, 2019; 9 (3): 244
Deryng, D., Conway, D., Ramankutty, N., Price, J., and Warren, R. 2014. Global crop yield response to extreme heat stress under multiple climate change futures. Environmental Research Letters 9:034011