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Given its ability to correctly predict crop dynamics under contrasting conditions, SIMPIÑA appears to include the essential processes at the correct level of complexity.
Satellite remote sensing data can shed light on such variability by providing timely information on crop dynamics and conditions over large areas.
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A new simulation model (SIMBA-POP), based on the cohort population concept, was built to predict phenological patterns of the population and harvest dynamics in banana cropping systems.
A study to examine weed and crop yield dynamics under diverse cropping systems was conducted within a 18-year cropping systems study near Scott, Saskatchewan.
Impact assessments are still concentrated on few crops and few diseases but are beginning to investigate arable crop disease dynamics at the landscape level.
Here, we expand on these existing studies by presenting new results from a coupled climate model that dynamically simulates the irrigation impacts on climate system by explicitly simulating irrigation demands within the model, also taking into account crop growth dynamics as well as the source of irrigation water (Pokhrel et al. 2012a, 2015).
To set conservation strategies, it is necessary to understand how these different methods influence the crop's dynamics of genetic diversity, but this requires molecular tools that yield information on important parameters such as heterozygosity and allelic frequencies needed for the computation of most population genetic statistics.
Well-tested cropping systems models that capture interactions between soil water and nutrient dynamics, crop growth, climate and management can assist in the evaluation of new agricultural practices.
More detailed studies were conducted on crop diseases, vegetation dynamics and breeding birds.
The biophysical modules simulate the hydrological system with its distributed water balance, irrigation scheme management and crop and vegetation dynamics.
These functional properties are then used to help decision about soil management, and also as input parameters of crop models, carbon dynamics models, hydrological models and erosion models.
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