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      Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

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          Abstract

          <p class="first" id="d18271248e332">Bread wheat improvement using genomic tools is essential for accelerating trait genetic gains. Here we report the genomic predictabilities of 35 key traits and demonstrate the potential of genomic selection for wheat end-use quality. We also performed a large genome-wide association study that identified several significant marker-trait associations for 50 traits evaluated in South Asia, Africa and the Americas. Furthermore, we built a reference wheat genotype-phenotype map, explored allele frequency dynamics over time and fingerprinted 44,624 wheat lines for trait-associated markers, generating over 7.6 million data points, which together will provide a valuable resource to the wheat community for enhancing productivity and stress resilience. </p>

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          Author and article information

          Journal
          Nature Genetics
          Nat Genet
          Springer Science and Business Media LLC
          1061-4036
          1546-1718
          September 23 2019
          Article
          10.1038/s41588-019-0496-6
          31548720
          8903a7cf-ae29-4598-9bd1-eae4b16cfabf
          © 2019

          http://www.springer.com/tdm

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