Resistance Evaluation

Overview

Resistance evaluation focuses on identifying plant genotypes with tolerance to diseases, pests, or abiotic stresses. Accurate quantification of symptoms and physiological responses is essential for breeders aiming to improve resilience. High-throughput and multimodal phenotyping enable objective, reproducible resistance assessment

1. Screening for disease- or pest-resistant genotypes

2. Evaluating stress-tolerance QTL effects

3. Monitoring infection progression

4. Phenotyping under controlled stress assays

5. Predictive modeling of resistance expression

High-Throughput Phenotyping System

Automated scoring of symptom progression
Multi-angle or multi-timepoint assessment

Potted Plant Phenotyping System

Fine-scale tracking of stress recovery
Compatible with controlled stress chambers

Gantry-Based Phenotyping Platform

Large-scale resistance screening under uniform environmental conditions
Consistent spatial and temporal image acquisition across field or greenhouse trials

Why Our System Fits This Application

Our systems combine structural, spectral, and temporal data—crucial for distinguishing resistant and susceptible phenotypes. Standardized imaging ensures reproducible resistance scoring.

Research References

1. Mahlein, A.-K., 2016. Plant disease detection by imaging sensors – parallels and specific demands for precision agriculture and plant phenotyping.

https://pubmed.ncbi.nlm.nih.gov/3069412

2. Lowe, A. et al., 2017. Hyperspectral image analysis techniques for detection and quantification of plant disease.

https://link.springer.com/article/10.1186/s13007-017-0233-z

3. Terentev, A. et al., 2022. Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection.

https://www.mdpi.com/1424-8220/22/3/757

4. Xie, C. et al., 2015. Detection of early blight and late blight diseases on tomato using hyperspectral imaging.

https://www.nature.com/articles/srep16564