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@INPROCEEDINGS{Jia:916145,
      author       = {Jia, Shiyan and Pariyar, Shree and Lenz, Henning and Nagel,
                      Kerstin and Fiorani, Fabio},
      title        = {{P}henotypic and genetic diversity of root traits in {DRR}
                      population of barley for selection in breeding},
      reportid     = {FZJ-2022-05965},
      year         = {2022},
      abstract     = {Root system architecture (RSA) is a target for plant
                      breeding because of the interest to develop crops with roots
                      that use nutrients and water more effectively. Breeding for
                      root traits require phenotypic diversity in populations
                      amenable to quantitative trait loci (QTL) identification to
                      provide markers for large breeding programs. Our research
                      aims to identify the genetic variation for root traits
                      across a Multi-parent Advanced Generation Inter-Cross
                      (MAGIC) wheat population by implementing the use of a
                      state-of-the-art phenotyping platform, which is an automated
                      non-invasive high throughput phenotyping system,
                      GrowScreen-Rhizo III (based on Nagel et al., 2012). With the
                      help of the platform, we will be able to quantify root
                      traits of plants grown in rhizoboxes filled with a substrate
                      providing mechanical impedance to root growth and record the
                      dynamics of both root and shoot development during an early
                      plant developmental stage. The NIAB eight-parent winter
                      wheat MAGIC population (Mackay et al., 2014) will provide
                      high-density and high-resolution genotypic information, and
                      reliable pedigree map to help with the association study.
                      The phenotypic data will subsequently be correlated to
                      genotypic data and QTLs linked to the traits of shoot and
                      root are identified by Genome-Wide Association Study (GWAS).
                      Newly detected QTLs and candidate genes will require further
                      validation. Our findings will not only increase the
                      knowledge about root traits and their roles at early stage
                      of crop establishment, a critical stage for crop
                      productivity, but also provide novel genetic material for
                      selection in breeding. The root phenotyping of the young
                      wheat plant in the controlled environment will also provide
                      valuable reference data for future studies in the field for
                      exploring root development and its correlation to the
                      stress/disease tolerance. We suggest that genes and QTLs
                      revealed in our study could be a target in the wheat
                      breeding practice when introduced in breeding programs.},
      month         = {Sep},
      date          = {2022-09-26},
      organization  = {7th International Plant Phenotyping
                       Symposium, Wageningen (Netherlands), 26
                       Sep 2022 - 30 Sep 2022},
      subtyp        = {After Call},
      cin          = {IBG-2},
      cid          = {I:(DE-Juel1)IBG-2-20101118},
      pnm          = {2171 - Biological and environmental resources for
                      sustainable use (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2171},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/916145},
}