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The structural time series models of wheat and rice are estimated by maximum likelihood.
Currently available crop simulation models of wheat production perform poorly in this region, presumably due to their inability to account for subsoil limitations, mainly salinity.
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A model of wheat, baking powder, and water volcano can be created to explore different magma viscosities (Acknowledgement to James Cowlyn and Ben Kennedy-University of Canterbury, New Zealand) Ana Gabriela Mar Sarabia.
Our focus is on optimizing wheat phenology, integrating simulations from a modified version of the ARCWHEAT model of wheat growth stages with available knowledge on the genetic control of wheat phenology obtained via molecular markers.
We finally use a case study on gene-based modelling of wheat phenology in France to illustrate how it can be used to dissect the genetic basis of the quantitative nature of the three components of earliness, beyond the effects of major genes.
An existing simulation model of wheat growth and development, Sirius, was evaluated through a systematic model reduction procedure.
Wheat (T. aestivum) mock-ups were obtained from a dynamic but non-plastic 3D architectural model of wheat development (Fournier et al. 2003).
A 3-D structural model of wheat flavone OMT, TaOMT2, was generated based on the crystal structure of caffeic acid/5-hydroxyferulic acid MsCOMT [ 16].
Tables 3, 4, 5, and 6 present the regression results for the acreage response models of corn, wheat, soybeans, and rice, respectively.
For illustration, we used gene models of bread wheat chromosome 4A [ 6] and to initiated a sequence homology search against Brachypodium and barley genes.
In use case 3, annotated gene models of bread wheat chromosome 4A were used to detect syntenic regions in comparison to barley and Brachypodium.
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