Multiscale computational models can guide experimentation and targeted measurements for crop improvement

Bedrich Benes ,  Kaiyu Guan ,  Meagan Lang ,  Stephen P. Long ,  Jonathan P. Lynch ,  Amy Marshall-Colón ,  Bin Peng ,  James Schnable ,  Lee J. Sweetlove ,  and  Matthew J. Turk

The Plant Journal - 2020

The Plant Journal - 2020

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Benes, Bedrich, et al. “Multiscale Computational Models Can Guide Experimentation and Targeted Measurements for Crop Improvement.” The Plant Journal, vol. 103, no. 1, 2020, pp. 21–31, https://doi.org/10.1111/tpj.14722.

@article{Benes20TPJ,
  title = {Multiscale computational models can guide experimentation and targeted measurements for crop improvement},
  author = {Benes, Bedrich and Guan, Kaiyu and Lang, Meagan and Long, Stephen P. and Lynch, Jonathan P. and Marshall-Colón, Amy and Peng, Bin and Schnable, James and Sweetlove, Lee J. and Turk, Matthew J.},
  year = {2020},
  journal = {The Plant Journal},
  volume = {103},
  number = {1},
  pages = {21--31},
  doi = {10.1111/tpj.14722},
  url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/tpj.14722},
  keywords = {photosynthesis, flux modeling, whole-plant architecture, transcriptional regulation, multiscale modeling},
  eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.14722},
  image = {Benes-2020-Multiscale_computational_models_can_guide_experimentation_and_ta-thumbnail.png},
  pdf = {Benes-The_Plant_Journal-2020-Multiscale_computational_models_can_guide_experimentation_and_ta.pdf}
}