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The consideration of farm work organisation in combination with soil modelling allowed a wider variety of growing conditions to be explored than is usually the case for breeding trials on experimental stations.
In this latter method, the probabilistic modelling allowed a temporal evolution of the conditional probability of bearing the favourable QTL allele given the marker observations.
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GEMANOVA modeling allowed a simple visualization of the entire experimental space.
For saturated conditions, heterogeneous geostatistical models allowed a better characterization of net exchange fluxes than a homogeneous approximation.
The parameterized mechanistic models allowed a good description of batch and dynamic experiments in a broad range of operating conditions.
The ANN model allowed a fast and relatively precise method to predict forest fire events in the studied area.
For larger projects, the open source model allowed a community to form to help with debugging and product extensions.
This original model allowed a dynamic analysis of human islet formation during development.
The nonlinear model allowed a better separation among quartiles and better overlapping between predicted EWL and actual EWL with respect to the linear model (Tables 8 9, Fig. 4 5).
Thus, the ODE model allowed a great reduction in computational time.
Recent atomic models allowed a mechanistic understanding of the needle structure (Fujii et al., 2012; Loquet et al., 2012).
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