Logo of the Information System for Agriculture and Food Research

Information System for Agriculture and Food Research

Information platform of the Federal and State Governments

Genomics-based exploitation of wheat genetic resources for plant breeding. Subproject F (GeneBank2.0)

Project

Production processes

This project contributes to the research aim 'Production processes'. Which funding institutions are active for this aim? What are the sub-aims? Take a look:
Production processes


Project code: 031B0184F
Contract period: 01.11.2016 - 31.10.2019
Budget: 102,927 Euro
Purpose of research: Applied research

The overall goal of GeneBank2.0 is to leverage the wheat ex-situ collection hosted at the IPK Gatersleben to an actively deployed one in plant breeding by applying an integrated concept encompassing cutting-edge genomics, phenomics, biodiversity informatics, and precision (pre)breeding.

Exploitation strategies will be devised at different resolutions, ranging from single sequence polymorphisms to gametes with high value for wheat breeding. By fingerprinting ~22,000 accessions using GBS, access to the entire wheat collection will be enabled. The GBS profiles form the basis for four innovative and complementary strategies to identify valuable novel alleles or gametes: 1) The 22,000 accessions will be screened for resistance against three devastating wheat diseases, leaf and stripe rust as well as Fusarium head blight. The phenotypic and GBS data will be analyzed with a new algorithm that facilitates composing a high-resolution association mapping (GWAS) panel with minimal impact of population stratification. The selected core set will be profiled using RenSeq in order to perform gene/allele mining for resistance through haplotype-based GWAS. 2) Novel trait discovery will be performed focusing on genetic variation important for hybrid wheat breeding redesigning the wheat flower implementing a genomics-based select-and-backcross method identify major genes promoting open pollination. 3) Combining physiology and population genomics in order to perform a targeted allele mining in genetic resources will identify for promising candidate genes contributing to nitrogen-use efficiency. 4) Opening the toolbox of genomic selection for pre-breeding by implementing a novel hybrid strategy will help identifying genetic resources with high breeding value for grain yield. These four strategies are embedded in biodiversity informatics activities to analyze the comprehensive data with novel population genomics and quantitative genetic tools.

show more show less

Subjects

Excutive institution

Limagrain GmbH

Advanced Search