Course Overview

Agronomic Research Techniques 

Instructor(s):

• Uswatun Hasana Hashi : Assistant Professor, Department of Agricultural Science, Faculty of Agriculture Science, Daffodil International University

Duration: 2 weeks

Mode of Delivery: Blended learning 

Course Description

This course is designed to equip undergraduate and graduate students from agricultural and non-agriculture backgrounds with practical skills in designing, implementing, and managing field-based agronomic experiments. The course covers experimental layout, sampling protocols, use of field instruments, data collection, quality assurance, and preliminary data analysis to support evidence-based agricultural decision-making. 

Evidence of Demand

There is an increasing need for skilled field technicians in agricultural R&D. There is strong demand from public research institutes, private seed/agrochemical companies, and NGOs for professionals capable of data-driven crop management. 

Course Objectives

This course aims to:

• Teach practical skills in designing, implementing, and managing field-based agronomic experiments.

• Train participants in experimental layout and sampling protocols.

• Familiarize learners with the use of field instruments and proper data collection methods.

• Provide foundational knowledge in data quality assurance and preliminary data analysis to support evidence-based agricultural decision-making.

Course Content & Class Plan (Modules)

• Module 1: Principles of Experimental Design (RCBD, Split-Plot, Factorial Designs)

• Module 2: Field Plot Techniques (Land preparation, plot demarcation, treatment application)

• Module 3: Sampling Methods (Plant sample, Soil, plant tissue, pest/disease, and yield sampling)

• Module 4: Field Instrumentation (Use of different instruments used in agronomic research, soil probes, moisture meters, different sensors, etc.)

• Module 5: Data Collection Protocols (Paper-based vs. electronic data capture, field notebooks)

• Module 6: Data Quality Assurance

• Module 7: Explanation of Statistical Analysis (ANOVA, mean separation, interpretation)

• Module 8: Report Writing and Presentation of Field Results.

Practical & Field Work

• The course utilizes a blended delivery mode, with 60% of the training consisting of in-person field practical sessions at designated research farms.

• Practical elements include field assignments for layout and sampling, as well as compiling a Field Data Collection Portfolio with quality checks.

Learning Outcomes

After completing the course, participants will be able to:

• Design and lay out a statistically sound field experiment.

• Apply proper sampling techniques for soil, crops, and pests.

• Operate standard field data collection instruments and sensors.

• Collect, record, and manage field data with accuracy and integrity.

• Perform basic statistical analysis and interpret experimental results.

• Prepare a professional technical report on field research findings.

Target Audience & Requirements

Target Audience:

• Undergraduate and graduate students from agricultural and non-agriculture backgrounds.

• Early-career agronomists, agricultural extension officers, and research assistants.

• Graduate students in crop science and field technicians working in agricultural research stations or commercial farming operations.

Entry Requirements:

• A diploma or currently studying Undergraduate in Agriculture, Agronomy, Crop Science, Soil Science, or a related field.

• Minimum age of 18 years.

Tools & Resources

• Facilities & Locations: Access to experimental field plots.

• Instruments: Field instruments including lux meters, LAI, soil augers, moisture meters, GPS units, weighing scales, and canopy sensors.

• Technology: Laptops/tablets with spreadsheet software (MS Excel, R, or SPSS) and internet access for online modules.

• Materials: Printed field notebooks and data sheets.

Career Pathways

After completing this micro-credential, learners may:

• Proceed to advanced courses in Experimental Design and Data Analysis in Agronomy, Applied Field Research (Design, Data Management, Analysis and Reporting), or Advanced Agricultural Research Methods.

• Use this credential as a foundation for pursuing a Master's degree in Agronomy or Plant Sciences.

Assessment Criteria

• Practical Field Assignment (Layout & sampling) – 30%

• Field Data Collection Portfolio (with quality checks) – 30%

• Final Data Analysis Report (using real field data) – 30%

• Online Quiz (Theory & design principles) – 10% (Note: A pass mark of 60% is required out of the total 100%).

Certification

• Achieving the pass mark of 60% across the practical and theoretical assessments qualifies the participant for course completion.

Financial Information

• Tentative Course Fee: 1500 BDT