Article

Comparative high-throughput phenotyping across two facilities reveals differential impact of defence mechanisms on plant growth and development

2026-03-23

Abstract excerpt

Fitness costs of plant disease defence are often subtle and difficult to quantify. In this study, we therefore used comparative high-throughput phenotyping in two independent facilities to assess growth, morphology and physiology of potato (cv. Désirée) with high time-resolution monitoring different defence mechanisms under pathogen-free conditions. Plants were either treated weekly with the resistance inducers β-...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 27ae8b61-02e1-525b-8744-5d860bacfb2f
DOI: 10.64898/2026.03.20.713143

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Comparative high-throughput phenotyping across two facilities reveals differential impact of defence mechanisms on plant growth and developmentDOI 10.64898/2026.03.20.713143Read

Transcriptome-metabolome integration reveals MYB/WRKY-RGA network and phenylalanine metabolism in potato late blight resistanceSemantic proximity Read

High Throughput Image-Based Phenotyping for Determining Morphological and Physiological Responses to Single and Combined Stresses in Potato.Semantic proximity Read

High-throughput phenotyping for everyone: A low-cost, all-in-one plant growth phenotyping system.Semantic proximity Read

Genotype and Fungicide Treatment Interactions Affect Potato Late Blight Development and Yield under Field ConditionsSemantic proximity Read

Phenotyping of Syndrome "Basses Richesses" in Sugar Beet by Morphological and Spectral Traits.Semantic proximity Read

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.Semantic proximity Read

A growth phenotyping pipeline for Arabidopsis thaliana integrating image analysis and rosette area modeling for robust quantification of genotype effects.Semantic proximity Read

An Integrated Statistical and Machine Learning Pipeline (FAME) for Factorial Plant ExperimentsSemantic proximity Read

Development and validation of IPM strategies for the cultivation of cisgenically modified late blight resistant potatoSemantic proximity Read

Tracking Lesion Growth in the Field: Imaging and Deep Learning Reveal Components of Quantitative ResistanceSemantic proximity Read

Assessing agronomic performance, chocolate spot resistance, and heat tolerance for diverse Vicia faba genotypes under varying environmental conditions.Semantic proximity Read

Impacts of pr-10a overexpression at the molecular and the phenotypic level.Semantic proximity Read