SCIENCE 7025 - Research Methodology

North Terrace Campus - Semester 1 - 2021

In the modern era of digital and data-driven agriculture it is important for researchers and practitioners to be familiar with the principles of designing research studies with the aim of collecting evidence for making scientific or industrial decisions. There are multiple types of research questions in agriculture, ranging from demonstration of principle throughout hypotheses testing and estimation to prediction and pattern recognition. Each type is supported with their specific principles of design and analysis. This course will introduce students to the design and analysis principles for typical field studies in plant science, plant breeding, biotechnology, agronomy and agribusiness and enable students to implement the principles in their choice of software: R or GenStat. Working on real-life data examples and scenarios collected from research publications in their area, students will learn to critically read research literature to recognise and understand the crucial elements of design and analysis of experiments and field studies reported in the literature. A small hands-on project will allow students to consolidate their knowledge of the design and analysis of research studies.

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