FACCE ERA-NET+ An integrated approach to evaluate and utilise genetic diversity for breeding climate-resilient barley

气候吧将识别基因组区域、基因和等位基因，这些基因组区域、基因和等位基因赋予培育适应不同欧洲环境下预测的2070年气候条件的弹性大麦品种所需的特征。地中海盆地北部的预测条件和适应性植物特性也适用于南部、非欧洲一侧，并将与代表该地区农民的利益攸关方有关。与抗逆性、可持续性和品质相关的定制大麦种质多样性集的表型反应将在预期的水分和养分、二氧化碳和病原菌压力变化的条件下确定。这套设备将包括栽培大麦，来自欧洲主要产区的地方品种，这些地区在干旱和预测气候变化影响方面存在差异，以及来自肥沃新月会的野生大麦，它代表着驯化发生的基因库，也具有弹性适应能力。这些响应将通过使用广泛的序列变异、表观基因组和转录本丰度数据集的基因组广泛关联研究(GWAS)和生态地理分析来连接到基因和基因组区域。遗传和基因组数据集将利用早期(大麦9K SNP集；外显子组捕获)和正在进行的(WHEALBI外显子捕获)研究，这些研究将用于确定WP1中包含的种质，并将得到计划中的气候条研究(CHIP、小RNA)的补充。因此，将有大量的主要是转录的序列信息来声明和使用多态，其种质的覆盖率和代表性密度超过了该物种以往的所有努力。植物表型鉴定将在预计将经历不同气候变化情景的区域内的田间条件下进行，并将在受控温室条件下进行，在那里将收集详细的生理表型。与环境条件有关的基因、地方品种和CWR将通过遗传多样性的生态地理分析来确定。根据观察到的植物反应和预测的气候情景，将制定2070年基因组选择(GS)和理想模式模型的建议，并评估与临时条件的相关性。将建立与农业经济模型师和气候模型师的协作互动，以基于在气候栏内收集的数据来估计2070年的收成及其对农业经济的影响

ClimBar will identify genome regions, genes, and alleles conferring the traits needed to breed resilient barley varieties adapted to the climatic conditions predicted for 2070 in different European environments. Predicted conditions and adaptive plant traits for the northern Mediterranean Basin are also applicable to the southern, non-European side and will be relevant to Stakeholders representing farmers from that region. The phenotypic responses of a tailored barley germplasm diversity set that is relevant to resilience, sustainability, and quality will be determined under anticipated conditions of altered water and nutrients, CO2, and pathogen pressure. The set will include cultivated barley, landraces from key European production regions differing in aridity and pre-figuring climate change effects, and wild barley from the Fertile Crescent, which represents the gene pool from which domestication occurred and also carries resilience adaptations. These responses will be connected to genes and genome regions by Genome Wide Association Studies (GWAS) using extensive sequence variant, epigenome, and transcript abundance datasets, and by ecogeographic analysis. The genetic and genomic data sets will be leveraged from earlier (barley 9K SNP set; exome capture) and ongoing (WHEALBI exome capture) studies, which will serve to define the germplasm included in WP1, and will be complemented by planned ClimBar studies (ChIP, small RNA). Therefore, a very large amount of mostly transcribed sequence information will be available to declare and use polymorphisms with a density of coverage and representativeness of germplasm exceeding all previous efforts in this species. Plant phenotyping will be carried out under field conditions within regions expected to experience differing climate change scenarios, and under controlled greenhouse conditions where detailed physiological phenotypes will be collected. Genes and landraces and CWR associated with environmental conditions will be identified by ecogeographic analysis of genetic diversity. Based on observed plant responses and predicted climate scenarios, proposals for genomic selection (GS) and ideotype models for 2070 will be developed, and relevance to interim conditions assessed. Collaborative interactions with agro-economic modellers as well as climatic modellers will set up to estimate harvests in 2070 and their impact on the agro-economy, based on data collected within ClimBar