Evaluation of breeding strategies for drought tolerance in potato by means of crop growth simulation

1990 ◽  
Vol 123 (2) ◽  
pp. 193-203 ◽  
Author(s):  
C. J. T. Spitters ◽  
A. H. C. M. Schapendonk
Keyword(s):  
Drought Tolerance ◽  
Crop Growth ◽  
Breeding Strategies ◽  
Growth Simulation ◽  
Crop Growth Simulation

Spatialization of rice crop yield using Sentinel-1 SAR and Oryza Crop Growth Simulation Model

2019 ◽  
Author(s):  
Jayantrao Mohite ◽  
Suryakant Sawant ◽  
Mariappan Sakkan ◽  
Praveen Shivalli ◽  
Krishnaiah Kodimela ◽  
...  
Keyword(s):  
Simulation Model ◽  
Crop Yield ◽  
Crop Growth ◽  
Rice Crop ◽  
Growth Simulation ◽  
Crop Growth Simulation

Development of an automated gridded crop growth simulation support system for distributed computing with virtual machines

2020 ◽  
Vol 169 ◽  
pp. 105196 ◽  
Author(s):  
Junhwan Kim ◽  
Jinew Park ◽  
Shinwoo Hyun ◽  
David H. Fleisher ◽  
Kwang Soo Kim
Keyword(s):  
Distributed Computing ◽  
Support System ◽  
Virtual Machines ◽  
Crop Growth ◽  
Growth Simulation ◽  
Crop Growth Simulation

scholarly journals Influence of ecohydrologic feedbacks from simulated crop growth on integrated regional hydrologic simulations under climate scenarios

2012 ◽  
Vol 16 (6) ◽  
pp. 1577-1593 ◽  
Author(s):  
P. E. V. van Walsum ◽  
I. Supit
Keyword(s):  
Climate Change ◽  
Soil Moisture ◽  
Dynamic Models ◽  
Static Model ◽  
Crop Growth ◽  
Climate Scenarios ◽  
Hydrologic Modelling ◽  
Growth Simulation ◽  
Crop Simulation ◽  
Crop Growth Simulation

Abstract. Hydrologic climate change modelling is hampered by climate-dependent model parameterizations. To reduce this dependency, we extended the regional hydrologic modelling framework SIMGRO to host a two-way coupling between the soil moisture model MetaSWAP and the crop growth simulation model WOFOST, accounting for ecohydrologic feedbacks in terms of radiation fraction that reaches the soil, crop coefficient, interception fraction of rainfall, interception storage capacity, and root zone depth. Except for the last, these feedbacks are dependent on the leaf area index (LAI). The influence of regional groundwater on crop growth is included via a coupling to MODFLOW. Two versions of the MetaSWAP-WOFOST coupling were set up: one with exogenous vegetation parameters, the "static" model, and one with endogenous crop growth simulation, the "dynamic" model. Parameterization of the static and dynamic models ensured that for the current climate the simulated long-term averages of actual evapotranspiration are the same for both models. Simulations were made for two climate scenarios and two crops: grass and potato. In the dynamic model, higher temperatures in a warm year under the current climate resulted in accelerated crop development, and in the case of potato a shorter growing season, thus partly avoiding the late summer heat. The static model has a higher potential transpiration; depending on the available soil moisture, this translates to a higher actual transpiration. This difference between static and dynamic models is enlarged by climate change in combination with higher CO2 concentrations. Including the dynamic crop simulation gives for potato (and other annual arable land crops) systematically higher effects on the predicted recharge change due to climate change. Crop yields from soils with poor water retention capacities strongly depend on capillary rise if moisture supply from other sources is limited. Thus, including a crop simulation model in an integrated hydrologic simulation provides a valuable addition for hydrologic modelling as well as for crop modelling.

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