Plant Disease Screening Design, Data, and Discovery

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Free Download Plant Disease Screening Design, Data, and Discovery
Published 11/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 3m | Size: 476 MB
From observation to insight - uncover the story behind plant resistance

What you'll learn
Understand the principles and importance of plant disease screening
Differentiate between screening tests and virulence assessments in research
Apply key evaluation parameters such as Disease Incidence (DI) and Disease Severity Index (DSI)
Design and interpret experiments using Randomised Complete Block Design (RCBD) and basic data analysis in R
Requirements
A basic understanding of plant pathology or prior completion of Plant Pathology Basics is recommended.
Interest in plant resistance or crop protection
Basic familiarity with experimental design and data handling will be helpful
Access to a computer or laptop, and optionally R Studio, is recommended for practical exercises.
Description
Understanding how to design and interpret disease screening experiments is essential for developing resistant plant varieties and improving research accuracy. Plant Disease Screening: Design, Data, and Discovery introduces you to the principles and practical approaches used in evaluating plant responses to pathogens - from setting up trials to analysing the results.This course guides you through the core steps of screening design, including selecting test genotypes, managing controls, and applying the Randomised Complete Block Design (RCBD) for reliable outcomes. You will learn how to use Disease Incidence (DI) and Disease Severity Index (DSI) to assess plant reactions, and how to interpret these data meaningfully.The course also provides a practical introduction to data analysis using R, helping you transform raw observations into clear, evidence-based conclusions.Designed for students, early-career researchers, and agricultural professionals, this course builds the skills and confidence to conduct structured screening experiments with scientific precision.By the end of this course, you will be able to:Understand the purpose and design of plant disease screening.Differentiate between screening and virulence testing.Apply DI and DSI to measure disease responses.Design and analyse data using RCBD and R.Take your first step into practical plant pathology - where observation becomes discovery.
Who this course is for
Students and early-career researchers in agriculture, plant science, or biotechnology seeking hands-on knowledge of disease screening
Laboratory technicians or research assistants involved in resistance testing and pathogen virulence studies
Agricultural professionals and seed industry staff aiming to understand how screening data informs breeding and R&D decisions
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Plant Disease Screening: Design, Data, and Discovery
Published 11/2025
Duration: 1h 3m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 476.44 MB
Genre: eLearning | Language: English​

From observation to insight - uncover the story behind plant resistance

What you'll learn
- Understand the principles and importance of plant disease screening
- Differentiate between screening tests and virulence assessments in research
- Apply key evaluation parameters such as Disease Incidence (DI) and Disease Severity Index (DSI)
- Design and interpret experiments using Randomised Complete Block Design (RCBD) and basic data analysis in R

Requirements
- A basic understanding of plant pathology or prior completion of Plant Pathology Basics is recommended.
- Interest in plant resistance or crop protection
- Basic familiarity with experimental design and data handling will be helpful
- Access to a computer or laptop, and optionally R Studio, is recommended for practical exercises.

Description
Understanding how to design and interpret disease screening experiments is essential for developing resistant plant varieties and improving research accuracy.Plant Disease Screening: Design, Data, and Discoveryintroduces you to the principles and practical approaches used in evaluating plant responses to pathogens - from setting up trials to analysing the results.

This course guides you through thecore steps of screening design, including selecting test genotypes, managing controls, and applying theRandomised Complete Block Design (RCBD)for reliable outcomes. You will learn how to useDisease Incidence (DI)andDisease Severity Index (DSI)to assess plant reactions, and how to interpret these data meaningfully.

The course also provides a practical introduction todata analysis using R, helping you transform raw observations into clear, evidence-based conclusions.

Designed forstudents, early-career researchers, and agricultural professionals, this course builds the skills and confidence to conduct structured screening experiments with scientific precision.

By the end of this course, you will be able to:

Understand the purpose and design of plant disease screening.

Differentiate between screening and virulence testing.

Apply DI and DSI to measure disease responses.

Design and analyse data using RCBD and R.

Take your first step into practical plant pathology - where observation becomes discovery.

Who this course is for:
- Students and early-career researchers in agriculture, plant science, or biotechnology seeking hands-on knowledge of disease screening
- Laboratory technicians or research assistants involved in resistance testing and pathogen virulence studies
- Agricultural professionals and seed industry staff aiming to understand how screening data informs breeding and R&D decisions
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