Objectives

The overall approach is based on the combination of molecular biology, stress physiology, systems biology and analytics with engineering and molecular breeding.

High-Throughput-Phenotyping (HTP) and bio-imaging technologies are used to monitor physiological and morphological changes in germplasm selected by the breeders.

Novel reporter lines are used to detect dynamic changes in decisive signalling pathways and multiple omics methods are employed as unbiased high-throughput shotgun approaches for initial lead (trait) identification.

Together, these data feed into big data analysis and modelling to identify new lead traits that are characterized in detail to confirm their potential use in plant improvement.

Diagram showing a framework for developing stress‑tolerant potato varieties. At the center is a potato plant labeled “Novel markers for breeding and improved crop management strategies.” Above it, a red box lists environmental stress factors: heat, drought, and flooding. Four green boxes surround the plant, each describing a research component: – Genetic variation: stress phenotyping in field and controlled conditions. – Dynamics of responses: reporter lines for calcium, reactive oxygen species, and hormones, plus photosynthesis. – Modelling to predict performance: integrating existing knowledge with generated omics data. – Molecular regulators: role of the tuberisation pathway and validation of targets. Below the plant, a yellow box labeled “Application and Innovation” leads to a blue box stating that ADAPT results include improved high‑throughput phenotyping technology and a pipeline for developing stress‑tolerant potato varieties. The diagram summarizes how genetic, molecular, physiological, and modelling approaches combine to support crop improvement.