Collaborative project: Haplotype-based selection for climate-adapted elite winter wheat. Subproject 2 (HaploSelekt)
Project code: 2818403B18
Contract period: 01.10.2019 - 30.09.2022
Budget: 55,083 Euro
Purpose of research: Applied research
Keywords: plant breeding, climate (climate relevance, climate protection, climate change), wheat, crop production, resource protection, resource efficiency
The HaploSelekt project aims to identify genome-wide haplotype blocks and their phenotypic effects on yield performance under limited water and nutrient availability in elite wheat lines, and subsequently to develop computer-based crossing schemes to enrich beneficial haploblocks in resilient, high-performing breeding lines. A broad elite winter wheat collection will be tested in the field for agronomic performance characteristics. In parallel, these lines will be subjected to genetic profiling using genome-wide SNP markers. In order to evaluate their adaptability to climate change, the nutrient efficiency of all genotypes as well as the transpiration rate and drought response will be determined on the phenotyping platform DroughtSpotterXXL. Finally, to select suitable crossing parents, a catalog of genome-wide haploblocks and their corresponding effects on the inheritance of the target features will be compiled from the SNP profiles and performance data. Crossing partners will be selected based on computer simulations, enabling design of crossing schemes to maximise accumulation of desired haploblocks. Using the double-haploid technique in combination with genomic selection, a new elite breeding population with high potential genomic breeding value for optimal as well as suboptimal environments will be created starting from four-way crosses. Later, individuals with maximum genomic breeding potential will be crossed and, from their F1 progenies, the best-predicted double-haploid (DH) offspring will be identified based on their genome-wide haploblock patterns. In the last year of the project, 100 DH lines with the highest genomic estimated breeding values identified by the genomic selection models will be thoroughly evaluated for yield performance and stability as well as drought stress and water use efficiency, thereby identifying high-yielding, climate-adapted candidate lines. The identified haploblock effects will be validated on the basis of the newly created material, thus providing precise methods for a routine, efficient breeding of climate-adapted varieties.