The relationship between leaf area growth and biomass accumulation in Arabidopsis thaliana

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@Article{Weraduwage:2015:fps,
  author =       "Sarathi M. Weraduwage and Jin Chen and 
                 Fransisca C. Anozie and Alejandro Morales and Sean E. Weise and 
                 Thomas D. Sharkey",
  title =        "The relationship between leaf area growth and biomass
                 accumulation in Arabidopsis thaliana",
  year =         "2015",
  journal =      "Frontiers in Plant Science",
  volume =       "6",
  number =       "167",
  month =        "09 " # apr,
  keywords =     "genetic algorithms, genetic programming, plant
                 science",
  publisher =    "Frontiers Media S.A.",
  bibsource =    "OAI-PMH server at www.ncbi.nlm.nih.gov",
  language =     "en",
  oai =          "oai:pubmedcentral.nih.gov:4391269",
  URL =          "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391269/",
  DOI =          "doi:10.3389/fpls.2015.00167",
  abstract =     "Leaf area growth determines the light interception
                 capacity of a crop and is often used as a surrogate for
                 plant growth in high-throughput phenotyping systems.
                 The relationship between leaf area growth and growth in
                 terms of mass will depend on how carbon is partitioned
                 among new leaf area, leaf mass, root mass,
                 reproduction, and respiration. A model of leaf area
                 growth in terms of photosynthetic rate and carbon
                 partitioning to different plant organs was developed
                 and tested with Arabidopsis thaliana L. Heynh. ecotype
                 Columbia (Col-0) and a mutant line, gigantea-2 (gi-2),
                 which develops very large rosettes. Data obtained from
                 growth analysis and gas exchange measurements was used
                 to train a genetic programming algorithm to parametrise
                 and test the above model. The relationship between leaf
                 area and plant biomass was found to be non-linear and
                 variable depending on carbon partitioning. The model
                 output was sensitive to the rate of photosynthesis but
                 more sensitive to the amount of carbon partitioned to
                 growing thicker leaves. The large rosette size of gi-2
                 relative to that of Col-0 resulted from relatively
                 small differences in partitioning to new leaf area vs.
                 leaf thickness.",
}

Genetic Programming entries for Sarathi M Weraduwage Jin Chen Fransisca C Anozie Alejandro Morales Sean E Weise Thomas D Sharkey

Citations