Course coordinator
Please email me to arrange a consultation.
Crop physiology provides a framework to allow you to analyse when, where and which crops to grow and how to maximise the productivity for the environmental constraints that exist. We need to understand how crops are limited by any type of stress, and what types of plant traits (characteristics) allow adaptation to that stress through agronomy and breeding. The basis of new scientific tools like crop simulation models and automated phenotyping (using robots and drones) are taught in this course, showing how crop physiology underlies research areas ranging from managing production risk through to modelling the effect of climate change on future production.
This course will last be offered in external mode in 2025. Please contact the School if you have any questions regarding the external mode.
Crop Physiology is the study of how crops respond to environment and management, and how they utilise the resources of radiation, water and nutrients to develop, grow and produce marketable products. A good understanding of crop physiology is essential to agronomists, breeders and other crop specialists so that they can assess whether crops are being affected by limitations in their environment, and to undertake research on how to improve adaptation and quality of crop products through both agronomy and breeding.
This course provides skills in the understanding of crop physiology and the principles, methods and instrumentation which are used to understand ‘how crops grow’. Crop physiology provides the link between the basics of plant science (photosynthesis, respiration, water and nutrient uptake and transport) and its application to communities of field plants growing in agronomy and breeding. It extends the concepts of ‘growth analysis’ (crop growth rate etc) to consider how crop growth (phenology, resource capture by leaves and roots, allocation of carbon to grain) can be understood in terms of the dynamic response to environmental drivers. Crops are populations of plants that are managed together in the field, typically as monocultures (although the same principles of crop physiology also help in the study of intercropping). In the first instance, crops are limited by the environmental conditions of radiation, temperature and water supply (influenced by rainfall, soil type). These conditions constrain when and where different crops can be profitably grown. Where available, irrigation and fertiliser can augment production, but how do we best use these amendments?
This course provides students with the ability to design experiments to monitor and interpret crop growth as influenced by environment, and how to use instrumentation and models to extend that understanding in applications in agronomy careers.
At the School of Agriculture and Food Sustainability, we are committed to creating an inclusive and empowering learning environment for all students. We value and respect the diverse range of experiences our students bring to their education, and we believe that this diversity is crucial for fostering a rich culture of knowledge-sharing and meaningful exploration. We hold students and staff accountable for actively contributing to establishing a respectful and supportive learning environment.
Bullying, harassment, and discrimination in any form are strictly against our principles and againstᅠUQ Policy,ᅠand will not be tolerated. If you have any concerns about your experience in this course, we encourage you to tell a member of the course teaching team. Your well-being and a positive learning atmosphere are of utmost importance to us.
Crop physiology assumes an understanding of:
** PLEASE NOTE: You may enrol in both AGRC3002 and AGRC3040. In AGRC3040, we teach the crop physiology that underlies many of the principles of field agronomy.
We recommend completing the following courses at the same time:
AGRC3002
Please email me to arrange a consultation.
The timetable for this course is available on the UQ Public Timetable.
Course timetable details as per MyTimetable. Lectures will be recorded using Echo360, and will be available through the course Blackboard site.
This course is co-taught with AGRC7034.
If you have any concerns regarding your official timetable or course allocations, or there are no suitable class times available, contact Faculty of Science Timetable science.mytimetable@uq.edu.au for advice.
If you have any questions about missing class activities, please contact your course coordinator.
The aim of this course is to provide a framework of crop physiological understanding which students can apply to research and production applications in agronomy and breeding.
After successfully completing this course you should be able to:
LO1.
Apply crop physiology frameworks in the design and interpretation of field crop trials
LO2.
Describe how crop species vary in their physiology and how this impacts on their adaptation and yield as limited by the physical environments of soil, climate (including frost, heat and drought) and nitrogen management
LO3.
Use a farming systems model (APSIM) to run simulations that vary for agronomic or genetic factors and interpret the results of these simulations
LO4.
Demonstrate how crop phenology is affected by species, genotype, location and time of sowing and how this information can be used to optimise management for yield and quality
LO5.
Explain how resource capture (canopy leaf area and root systems) varies with species, genotype and management factors and how these dynamics affect crop growth and yield
LO6.
Explain how carbon and nitrogen partitioning processes determine crop growth and yield
LO7.
Select and operate physiological instruments and interpret results affecting crop attributes (leaf area, light interception, canopy temperature, nitrogen status)
LO8.
Apply a working knowledge of how new instrumentation and analytical methods (satellite imagery, UAVs, static sensors, machine learning, artificial intelligence) can be utilised in crop research and production
Category | Assessment task | Weight | Due date |
---|---|---|---|
Paper/ Report/ Annotation, Practical/ Demonstration, Quiz |
Sequential Practical Assessment Tasks
|
50% Each tasks contributes its identified % towards the sequential practical assessment task total of 50%. |
Assessment 1: Assessment 2: Assessment 3: Assessment 4: Assessment 5: APSIM 3 (5%) 14/10/2025 - 20/10/2025 Assessment 6: Report 2 (15%) 27/10/2025 |
Quiz |
Course concepts
|
10% |
7/10/2025 - 13/10/2025 |
Examination |
Final exam
|
40% |
End of Semester Exam Period 8/11/2025 - 22/11/2025 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment 1:
APSIM 1 (5%) 5/08/2025 - 11/08/2025
Assessment 2:
APSIM 2 (5%) 12/08/2025 - 18/08/2025
Assessment 3:
RUE Quiz (5%) 26/08/2025 - 1/09/2025
Assessment 4:
Report 1 (15%) 15/09/2025
Assessment 5: APSIM 3 (5%) 14/10/2025 - 20/10/2025
Assessment 6: Report 2 (15%) 27/10/2025
Practical Assessment tasks will cover multiple formats and assess Learning Objectives 1-7.
These tasks have been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
The use of AI or MT must be referenced appropriately. Please see assessment guidelines in blackboard course site for specific instructions.
You should also retain an electronic copy of every piece of assessment you submit. When marks and feedback are available for this assessment item you will be notified via a blackboard announcement.
Legal Declaration
By submitting your work via this website, you formally declare that (1) it is your own original work, and no part of the work has been copied from any other source or person except where due acknowledgement is made; (2) no part of the work has been previously submitted for assessment in this or any other institution; and (3) you have read the Student Integrity and Misconduct Policy / Document / Policy and Procedure Library and understand its implications.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Submission of an Extension of Assessment Due Date (EADD) should be completed online through your My Requests tab via my.UQ Dashboard, in accordance with the University's Assessment Procedure (located in the Policies and Procedures section of this course profile) which outlines the requirements for requesting extensions to assessment due dates. Extensions require the correct evidence/documentation to support the requested length of time of the extension.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
For example, a report worth a maximum of 40 marks, submitted 28 hours late will attract a penalty of 8 marks, calculated as 2 periods of 24 hours x 10% x 40 marks.
Assessment deadlines are firm and must be met. Late submission without permission or non-submission of assessable work will result in penalties being applied. Late submission of assessment will only be granted for documented medical reasons, accident, bereavement, jury service and other circumstances allowed in the UQ Policies and Procedures Library (PPL).
7/10/2025 - 13/10/2025
This online quiz will be comprised of multiple choice questions to evaluate understanding of course concepts presented in weekly lectures. The Quiz opens and closes on the dates and times listed. Once you commence the Quiz you must complete it within the duration as stated in the quiz instructions on the course blackboard site.
This task has been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.
A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.
The use of AI or MT must be acknowledged appropriately. Please see assessment guidelines in blackboard course site for specific instructions.
Students are responsible for ensuring a stable internet connection while undertaking an online test/quiz.
Troubleshooting – if students experience any technical difficulties during the online test/quiz:
· Do not close the browser window.
· Contact AskUs immediately: support.my.uq.edu.au/app/chat/chat_launch_lib – if the technical issue cannot be resolved, ask for a copy of the chat.
· Document the problem – if you receive an error message or similar, take a copy of the message, note the time/date of the problem, which web browser you used, exactly what you were doing at the time and any other relevant information.
· Email your course coordinator (copy in AGFS Admin – agriculture@enquire.uq.edu.au) with your documented evidence and a copy of the AskUs chat. Any delays in this communication being received may impact the advice that could be provided to you.
The online assessment is completed within Blackboard under the appropriate assessment title on your course Blackboard site. You should also retain an electronic copy of every piece of assessment you submit.
Legal Declaration
By submitting your work via this website, you formally declare that (1) it is your own original work, and no part of the work has been copied from any other source or person except where due acknowledgement is made; (2) no part of the work has been previously submitted for assessment in this or any other institution; and (3) you have read the Student Integrity and Misconduct Policy / Document / Policy and Procedure Library and understand its implications.
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Submission of an Extension of Assessment Due Date (EADD) should be completed online through your My Requests tab via my.UQ Dashboard, in accordance with the University's Assessment Procedure (located in the Policies and Procedures section of this course profile) which outlines the requirements for requesting extensions to assessment due dates. Extensions require the correct evidence/documentation to support the requested length of time of the extension.
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
For example, a report worth a maximum of 40 marks, submitted 28 hours late will attract a penalty of 8 marks, calculated as 2 periods of 24 hours x 10% x 40 marks.
Assessment deadlines are firm and must be met. Late submission without permission or non-submission of assessable work will result in penalties being applied. Late submission of assessment will only be granted for documented medical reasons, accident, bereavement, jury service and other circumstances allowed in the UQ Policies and Procedures Library (PPL).
End of Semester Exam Period
8/11/2025 - 22/11/2025
Closed book, two-hour exam covering all aspects of the course.
The final exam will comprise short and extended answer questions as well as solving problems (calculations around estimation of crop growth). The answers to the exam questions are based on the content in this course, including lectures, readings and practicals.
The exam will be an on-campus exam. Have your UQ student ID card available for all your exams. Students enrolled in In Person delivery must attend the exam in-person.
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Planning time | 10 minutes |
---|---|
Duration | 120 minutes |
Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
Open/closed book | Closed book examination - no written materials permitted |
Exam platform | Paper based |
Invigilation | Invigilated in person |
You may be able to defer this exam.
Full criteria for each grade is available in the Assessment Procedure.
Grade | Description |
---|---|
1 (Low Fail) |
Absence of evidence of achievement of course learning outcomes. Course grade description: 0 - 34% |
2 (Fail) |
Minimal evidence of achievement of course learning outcomes. Course grade description: 35 - 46% |
3 (Marginal Fail) |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: 47% - 49% OR failure to meet the identified assessment hurdle below. |
4 (Pass) |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: 50% - 64% |
5 (Credit) |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: 65% - 74% |
6 (Distinction) |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: 75% - 84% |
7 (High Distinction) |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: 85% - 100% |
Course Grading Rules and Assessment Hurdles:
If a student obtains an overall percentage greater than the cut-offs set to achieve a 4 or higher for the course based on marks from a combination of progressive assessment and the final exam and the student does NOT score a passing mark for the Final exam, they are unable to achieve a grade higher than a 3 (failing grade) for the course.
Supplementary assessment is available for this course.
Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply.
Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.
If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.
Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes.
To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment.
Please note the following when writing assignments
You must not re-use past work from previous assessments in your assignments.
Academic Integrity and Plagiarism
All reported work must be done by the individual student. Assignments that look and sound alike will be reported as plagiarism – a serious offence at UQ. Please note the university’s policy on academic integrity and plagiarism which can be accessed at Student Integrity and Misconduct Policy.
Turnitin
Assignments that are required to be submitted through TurnItIn, must only be uploaded to the assessment specific Turnitin link on the relevant course Blackboard site. If you submit any version of your assessment item to any alternative Turnitin link, this is considered cheating and you will be held liable for this action.
Release of marks
Unless specifically indicated by the lecturer involved, every attempt will be made to have the results for progressive assessment tasks available within 3 weeks of submission. For items of assessment submitted in the last 2 weeks of the semester, the results will be available before the day of your end of semester examination in the course, unless otherwise indicated by the Course Coordinator. Results and feedback availability will be advised to you by email or announced via the course Blackboard site.ᅠ
Feedback in this course
Feedback is welcome (positive or negative) on this course as any information on how students find this learning experience is constructive.
Please use the evaluation form provided to you at the end of semester - or if you are enrolled in person, a course evaluation process will occur in the last few weeks of semester.
Re-mark Applications – refer to the University's Re-mark Policy to check your eligibility
Before applying for a remark, students should consider the following:
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources are available on the UQ Library website.
If we've listed something under further requirement, you'll need to provide your own.
Item | Description | Further Requirement |
---|---|---|
AGRC3040/AGRC7034 Blackboard Site | Blackboard is the main method of communication for this course. | |
AGRC3040 Course Profile | Provides details of specifications, rationale, aims and structure of the course. It also informs you of the assessment for this course, including weighting and due dates. | |
Personal Protective Equipment (PPE) | Collared shirt, long trousers/jeans, enclosed non-permeable footwear, hat and sunscreen. | own item needed |
As this course has field-based experiments, it is essential that students comply with Personal Protective Equipment (PPE) requirements and therefore have covered footwear in field and labs as well as using hats and sunscreen in the field. During the months of July and August, the crops will frequently have heavy dew until about 10 am, so for comfort it may be preferable to wear waterproof pants and shoes, as well as warm clothing on colder days.
Students will need to complete all relevant inductions for UQ.
As AGRC3040 and AGRC7034 are co-taught, they will share a course Blackboard site.
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Learning period | Activity type | Topic |
---|---|---|
Week 1 (28 Jul - 03 Aug) |
Lecture |
W1 Introduction Overview - Grain yield - working forwards and backwards Lecturer: Prof Scott Chapman Learning outcomes: L01 |
Practical |
Tutorial and field visit Visit to field, PPE required (sunscreen, hat, closed shoes). Principles of field trials & biomass harvest. Introductory tutorial outlining discussion formats, online agricultural data modules linked to reports and report assessments achievement criteria Lecturer: Dr Nicole Robinson Learning outcomes: L01, L02, L04, L07 |
|
Week 2 (04 Aug - 10 Aug) |
Lecture |
W2 Crop models - the library of crop physiology Applications in farming systems, climate change, breeding Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L03, L04, L05 |
Practical |
Introduction to APSIM Introduction to APSIM. Running a model, weather and soil data inputs. Lecturer: Prof Scott Chapman, Dr Javier Fernandez , Dr Nicole Robinson Learning outcomes: L01, L02, L03, L04, L05 |
|
Week 3 (11 Aug - 17 Aug) |
Lecture |
W3 Phenology - response to temperature and photoperiod Lecture 1 Phenology - response to temperature, photoperiod. Lecture 2 Importance to adaptation - matching water supply, minimising risk of frost, heat Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L03, L04 |
Practical |
APSIM2 - response to temperature, photoperiod Phenology examples Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L02, L03, L04 |
|
Week 4 (18 Aug - 24 Aug) |
Lecture |
W4 Leaf area and light interception Lecture 1 Leaf area development, basics of light interception Lecture 2 Leaf development models, tillering etc, crop type contrasts. Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L04, L05, L06 |
Practical |
Field visit Leaf area/interception practical. Measurement of light interception in field and photosynthesis. Lecturer: Dr Nicole Robinson Learning outcomes: L01, L07 |
|
Week 5 (25 Aug - 31 Aug) |
Lecture |
W5 Biomass accumulation -Radiation and Temperature Lecture 1 Radiation and temperature limited biomass accumulation, canopy structure and RUE Lecture 2 Scaling photosynthesis and RUE Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L05, L06 |
Practical |
Radiation use efficiency Tutorial on measurement of RUE Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L05, L06, L07 |
|
Week 6 (01 Sep - 07 Sep) |
Lecture |
W6 The root system Lecture 1: The root system - structure and function in water and nutrient utilisation Lecture 2: Investigating variation in root systems Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L05, L06 |
Practical |
Report 1 data analysis workshop Online module 1- agricultural data and spreadsheet manipulation Approaches to data analysis and visualisation Lecturers: Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L02, L05 |
|
Week 7 (08 Sep - 14 Sep) |
Lecture |
W7 Biomass accumulation Lecture 1: Transpiration limitations on biomass accumulation Lecture 2: Influences of VPD and soil water. Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L05, L06 |
Practical |
Field visit Collecting quadrat samples & phenology staging Instrument readings; SPAD, Greenseeker, UAV Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L07, L08 |
|
Week 8 (15 Sep - 21 Sep) |
Lecture |
W8 Assimilate partitioning to yield Lecture 1: Assimilate partitioning Lecture 2: Grain set and grain filling - dynamics and influences Lecturer: Prof Scott Chapman Learning outcomes: L01, L02, L04, L05, L06 |
Tutorial |
Course checkin - review session Lecturer: Dr Nicole Robinson Learning outcomes: L01, L02, L03, L04, L05 |
|
Week 9 (22 Sep - 28 Sep) |
Lecture |
W9 Nitrogen uptake and dynamics Lecture 1: N Dr Javier Fernandez, NUE, N dilution and nitrogen nutrition index Lecture 2: N dynamics - Specific leaf nitrogen Lecturer: Dr Javier Fernandez Learning outcomes: L01, L02, L05, L06 |
Practical |
Report 2 data analysis workshop Module 2 Data analysis Lecturers: Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L02, L06 |
|
Week 10 (06 Oct - 12 Oct) |
Lecture |
W10 Phenotyping Lecturers: Prof Scott Chapman, Dr Dan Smith Learning outcomes: L01, L02, L04, L05, L06 |
Practical |
Field visit Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson, Dr Dan Smith Learning outcomes: L07, L08 |
|
Week 11 (13 Oct - 19 Oct) |
Lecture |
W11 Crop design and modelling GxExM Crop Design - Modelling GxExM and understanding historical changes in yield and anticipating climate change Lecturer: Prof Scott Chapman Learning outcomes: L01, L03, L06 |
Practical |
APSIM3 practical APSIM 3 practical- GxExM Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L03, L04, L05 |
|
Week 12 (20 Oct - 26 Oct) |
Lecture |
W12 New horizons in crop physiology Lecture 1: New horizons in crop physiology - Lecture 2: Phenotyping and instruments to measure crop growth; UAVs, machine learning and AI Lecturer: Prof Scott Chapman Learning outcomes: L01, L07, L08 |
Week 13 (27 Oct - 02 Nov) |
Lecture |
W13 Revision and discussion Revision Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 |
Tutorial |
Exam revision Lecturers: Prof Scott Chapman, Dr Javier Fernandez, Dr Nicole Robinson Learning outcomes: L01, L02, L03, L04, L05, L06, L07, L08 |
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.