Periodic Reporting for period 1 - BarleyMicroBreed (Strategies for breeding climate change resilient barley, genetically equipped to optimized root-microbiome interactions)
Período documentado: 2022-11-01 hasta 2024-04-30
The overall objective of BarleyMicroBreed is thus to establish links between barley genome components and root microbiomes that facilitate root traits pivotal for drought stress resilience and belowground carbon restitution. Based on this, we will identify strategies for breeding crops optimized to harness stress resilience from soil biodiversity, thereby reducing the need for external inputs.
Measurable operational objectives:
● To construct a publicly available database with in-depth information on drought tolerance and root phenotypic traits including microbiome information based on field screening at different geographical locations of 600 barley varieties encompassing a wide genetic diversity.
● To develop optimized root phenotyping tools, including automated core break imaging systems, software development for automated “gap filling” in rhizobox phenotyping, and models to infer seedling to mature root system architecture.
● To identify correlations between specific barley genome components, recruitment of specific root microbiota, root phenotypic traits- and drought resilience.
● To disclose causal mechanistic relationships between barley genome markers, microbiome recruitment and root phenotypic traits under drought stress.
● To generate novel barley breeding strategies for microbiome-assisted drought tolerance.
In parallel, root phenotyping tools are being developed that will enable monitoring of seedling to maturity root architecture. BOKU has developed a novel root imaging tool which enables continuous imaging of root growth under controlled conditions to evaluate stress adaptation plasticity of different barley varieties during the sensitive seedling establishment phase. PSI has developed an efficient software toolset that enables efficient root image analysis. Furthermore, PSI has set up a phenotyping pipeline to monitor plants under drought conditions to obtain images from germination to establishment of the root system. This optimized automated image analysis toolset will allow tracking of root stress adaptation in high spatial resolution.