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@ARTICLE{Chiewchankaset:907136,
      author       = {Chiewchankaset, Porntip and Thaiprasit, Jittrawan and
                      Kalapanulak, Saowalak and Wojciechowski, Tobias and
                      Boonjing, Patwira and Saithong, Treenut},
      title        = {{E}ffective {M}etabolic {C}arbon {U}tilization and
                      {S}hoot-to-{R}oot {P}artitioning {M}odulate {D}istinctive
                      {Y}ield in {H}igh {Y}ielding {C}assava {V}ariety},
      journal      = {Frontiers in plant science},
      volume       = {13},
      issn         = {1664-462X},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2022-01861},
      pages        = {832304},
      year         = {2022},
      abstract     = {Increasing cassava production could mitigate one of the
                      global food insecurity challenges by providing a sustainable
                      food source. To improve the yield potential, physiological
                      strategies (i.e., the photosynthetic efficiency,
                      source-to-sink carbon partitioning, and intracellular carbon
                      metabolism) can be applied in breeding to screen for
                      superior genotypes. However, the influences of
                      source-to-sink carbon partitioning and carbon metabolism on
                      the storage root development of cassava are relatively
                      little understood. We hypothesized that carbon partitioning
                      and utilization vary modulating the distinctive storage root
                      yields of high and low-yielding cassava varieties,
                      represented in this study by varieties Kasetsart 50 (KU50)
                      and Hanatee (HN), respectively. Plant growth, photosynthesis
                      measurements, soluble sugars, and starch contents of
                      individual tissues were analyzed at different developmental
                      stages. Also, the diurnal patterns of starch accumulation
                      and degradation in leaves were investigated through iodine
                      staining. Despite a comparable photosynthetic rate, KU50
                      grew better and yielded greater storage roots than HN.
                      Interestingly, both varieties differed in their carbon
                      partitioning strategies. KU50 had a high photosynthetic
                      capacity and was better efficient in converting
                      photoassimilates to carbon substrates and allocating them to
                      sink organs for their growth. In contrast, HN utilized the
                      photoassimilates at a high metabolic cost, in terms of
                      respiration, and inefficiently allocated carbon to stems
                      rather than storage roots. These results highlighted that
                      carbon assimilation and allocation are genetic potential
                      characteristics of individual varieties, which in effect
                      determine plant growth and storage root yield of cassava.
                      The knowledge gained from this study sheds light on
                      potential strategies for developing new high-yielding
                      genotypes in cassava breeding programs.},
      cin          = {IBG-2},
      ddc          = {570},
      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)16},
      pubmed       = {pmid:35251103},
      UT           = {WOS:000770923700001},
      doi          = {10.3389/fpls.2022.832304},
      url          = {https://juser.fz-juelich.de/record/907136},
}