Table of Contents

1 The two forms of crop models
2 Evaluating crop models
3 Uncertainty and sensitivity analysis for crop models
4 Parameter estimation for crop models
5 Data assimilation with crop models
6 Representing and optimizing management decisions with crop models
7 Using crop models for multiple fields

SECTION II APPLICATIONS
8 Introduction to section II
9 Fundamental concepts of crop models illustrated by a comparative approach
10 Crop models with genotype parameters
11 Model assisted genetic improvement of crops
12 Parameterization and evaluation of a corn crop model
13 Evaluation of a model for kiwifruit
14 Sensitivity and uncertainty analysis of a static denitrification model
15 Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil
16 Sensitivity analysis of GENESYS, a model for studying the effects of cropping system on gene flow
17 Data assimilation and parameter estimation for precision agriculture with the crop model STICS
18 Application of extended and ensemble Kalman filters to soil carbon estimation
19 Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model
20 Managing wheat for ethanol production. A multiple criteria approach

About the Author

Daniel Wallach focuses on the application of statistical methods of dynamic systems, specifically on agronomy models. He has published in Agriculture, Ecosystems and Environment; Journal of Agricultural, Biological and Environmental Statistics and European Journal of Agronomy. David Makowski is an expert with the European Food Safety authority and the French Agency for Food, Environmental and Occupational Health and Safety and has authored 50 refereed articles and 10 book chapters on statistics, agricultural modeling and risk analysis. James Jones has authored more than 250 refereed scientific journal articles, developed and teached a graduate course based mostly on this book. He is a Fellow of the American Society of Agricultural and Biological Engineers, Fellow of the American Society of Agronomy, Fellow of the Soil Science Society of America and serves on several international science advisory committees related to agriculture and climate. Francois Brun specializes in agricultural modeling systems using the R language, and has published in Journal of Experimental Botany.