Associate Professor Femi Akinsanmi

Principal Research Fellow

Centre for Horticultural Science
Queensland Alliance for Agriculture and Food Innovation
o.akinsanmi@uq.edu.au
+61 7 344 32453

Overview

Research area: Plant Disease Epidemiology and Management

My research approach incorporates modern research tools relating to plant disease epidemiology, host genetics, pathogen taxonomy and decision support systems. My research informs disease management systems in agricultural ecosystems, including grain and cereal broadacre crops, and horticultural tree nut and fruit crops, in developing and developed countries.

Research Interests

  • Host-Pathogen interaction
    Elucidating pathogen biology, ecology and disease resistance
  • Plant Disease Epidemiology and Management
    Diagnostics and management of crop diseases

Qualifications

  • Doctor of Philosophy, The University of Queensland
  • Bachelor of Agriculture, Obafemi Awolowo University
  • Master of Philosophy, Obafemi Awolowo University

Publications

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Available Projects

  • This study will examine the biology of pathogens that are associated with husk rot in macadamia. Information on epidemiological factors, infection process and mechanism of host resistance is required to develop forecasting models to manage the disease in macadamia cropping system.

    Student attributes:

    • Background in plant pathology, Agricultural Science or horticulture
    • Demonstrated ability to undertake research, including unsupervised field work and data analysis
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)
  • The study will investigate and generate information about seasonal crop loss resulting from a range of factors. Pests and diseases are both significant sources of on-farm reject in macadamia orchards. Economic assessment of specific crop losses will be undertaken and, wherever possible, will be related to farm management approaches and environmental conditions to measure associated impacts on productivity and profitability. Lean design principles will be applied to minimise field trial costs and maximise sample coverage.

    Student attributes:

    • Knowledge of or background in horticultural agronomy, agro-economics or agribusiness
    • Demonstrated ability to undertake research, including unsupervised field work and data analysis
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)
    • Some knowledge of data analytics / biometry would be useful, although external biometric support will be provided
  • This overarching aim of this study is to develop a dynamic integrated information and communication technologies to support decision making process for control of flower and fruit diseases in macadamia ecosystems.

    Student attributes:

    • Knowledge of or background in horticulture, Information Technology
    • Demonstrated ability to undertake research, data analytics and coding/computer programming
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)

View all Available Projects

Publications

Book

Book Chapter

  • Akinsanmi, Femi (2022). Macadamia integrated disease management (MC16018). Macadamia plant protection guide 2022–23. (pp. 23-24) edited by Jeremy Bright. Orange, NSW Australia: NSW Department of Primary Industries.

  • Akinsanmi, O.A., Miles, A. and Drenth, A. (2009). Macadamia. Diseases of Fruit Crops in Australia. (pp. 149-156) edited by Tony Cooke, Denis Persley and Susan House. Australia: CSIRO Publishing.

Journal Article

Conference Publication

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Completed Supervision

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.

  • This study will examine the biology of pathogens that are associated with husk rot in macadamia. Information on epidemiological factors, infection process and mechanism of host resistance is required to develop forecasting models to manage the disease in macadamia cropping system.

    Student attributes:

    • Background in plant pathology, Agricultural Science or horticulture
    • Demonstrated ability to undertake research, including unsupervised field work and data analysis
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)
  • The study will investigate and generate information about seasonal crop loss resulting from a range of factors. Pests and diseases are both significant sources of on-farm reject in macadamia orchards. Economic assessment of specific crop losses will be undertaken and, wherever possible, will be related to farm management approaches and environmental conditions to measure associated impacts on productivity and profitability. Lean design principles will be applied to minimise field trial costs and maximise sample coverage.

    Student attributes:

    • Knowledge of or background in horticultural agronomy, agro-economics or agribusiness
    • Demonstrated ability to undertake research, including unsupervised field work and data analysis
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)
    • Some knowledge of data analytics / biometry would be useful, although external biometric support will be provided
  • This overarching aim of this study is to develop a dynamic integrated information and communication technologies to support decision making process for control of flower and fruit diseases in macadamia ecosystems.

    Student attributes:

    • Knowledge of or background in horticulture, Information Technology
    • Demonstrated ability to undertake research, data analytics and coding/computer programming
    • Well-developed communication and interpersonal skills (ability to work directly with industry stakeholders)