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A statistical "toolkit" for cropping systems research: quantifying the importance of rotations

  • Full or part time
  • Application Deadline
    Sunday, March 03, 2019
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Crop rotations have been at the centre of agricultural systems throughout history. In modern agriculture, the main purpose of rotating crops is to reduce the incidence of diseases, pests or weeds that are difficult to control with pesticides. Long-term rotational experiments allow understanding of the impacts of climate change on crop yield and quality.

This project will integrate findings from long-term cropping systems trials between the partners (SRUC and NIAB), with field and farm data. Combining datasets from long-term experiments (>10,000 crop years), established on different sites and at different times, allows us to test new hypotheses that were not the original focus of the work. This project will develop new ways of amalgamating data and observations from controlled plot trials, farmer surveys and on-farm monitoring. By applying new statistical approaches to integrate findings from long-term experiments, we can provide new insights into the impacts of climate and management change to support the development of new and sustainable future cropping systems.

This student will be supervised by a team of staff from SRUC, NIAB and the University of Aberdeen. Applicants should have a BSc or MSc in statistics or an agriculture related discipline.

Funding Notes

The student will be registered at a partner university and receive an annual student stipend of £14,777 (£15,009 in 2019/20). This studentship will fund to pay the tuition fees at home fees rate only. International students must provide evidence of sufficient funds to cover the higher international student tuition fee level (approximately £16,740 per year would be required). This studentship based at SRUC, Craibstone Estate, Aberdeen with a start date in October 2019.

How good is research at SRUC - Scotland’s Rural College in Agriculture, Veterinary and Food Science?
(joint submission with University of Edinburgh)

FTE Category A staff submitted: 57.37

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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