LEADER 04125nam 2200649Ia 450 001 9910456966803321 005 20200520144314.0 010 $a1-280-63858-3 010 $a9786610638581 010 $a0-08-046193-X 035 $a(CKB)1000000000357863 035 $a(EBL)270348 035 $a(OCoLC)476003456 035 $a(SSID)ssj0000274134 035 $a(PQKBManifestationID)11240529 035 $a(PQKBTitleCode)TC0000274134 035 $a(PQKBWorkID)10323786 035 $a(PQKB)10677588 035 $a(MiAaPQ)EBC270348 035 $a(Au-PeEL)EBL270348 035 $a(CaPaEBR)ebr10138569 035 $a(CaONFJC)MIL63858 035 $a(OCoLC)936846031 035 $a(EXLCZ)991000000000357863 100 $a20060403d2006 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aWorking with dynamic crop models$b[electronic resource] $eevaluating, analyzing, parameterizing, and using them /$fedited by Daniel Wallach, David Makowski, James W. Jones 205 $a1st ed. 210 $aAmsterdam ;$aBoston $cElsevier$d2006 215 $a1 online resource (465 p.) 300 $aDescription based upon print version of record. 311 $a0-444-52135-6 320 $aIncludes bibliographical references and index. 327 $aCover; Title; Copyright; Table of Contents; List of Contributors; Preface; Overview; Chapter 1: The two forms of crop models; Chapter 2: Evaluating crop models; Chapter 3: Uncertainty and sensitivity analysis for crop models; Chapter 4: Parameter estimation for crop models; Chapter 5: Data assimilation with crop models; Chapter 6: Representing and optimizing management; Chapter 7: Using crop models for multiple fields; Chapter 8: Introduction to Section II; Chapter 9: Fundamental concepts of crop models illustrated by a comparative approach; Chapter 10: Crop models with genotype parameters 327 $aChapter 11: Model-assisted genetic improvement of cropsChapter 12: Parameterization and evaluation of a corn crop model; Chapter 13: Evaluation of a model for kiwifruit; Chapter 14: Sensitivity and uncertainty analysis of a static denitrification model; Chapter 15: Sensitivity analysis of PASTIS, a model of nitrogen transport and transformation in the soil; Chapter 16: Sensitivity analysis of GENESYS, a model for studying the effect of cropping systems on gene flow; Chapter 17: Data assimilation and parameter estimation for precision agriculture using the crop model STICS 327 $aChapter 18: Application of Extended and Ensemble Kalman Filters to soil carbon estimationChapter 19: Analyzing and improving corn irrigation strategies with MODERATO, a combination of a corn crop model and a decision model; Chapter 20: Managing wheat for ethanol production: a multiple criteria approach; Appendix: Statistical notions; Answers to Exercises; Index 330 $aMathematical models are being used more and more widely to study complex dynamic systems (global weather, ecological systems, hydrological systems, nuclear reactors etc. including the specific subject of this book, crop-soil systems). The models are important aids in understanding, predicting and managing these systems. Such models are complex and imperfect. One fundamental research direction is to seek a better understanding of how these systems function, and to propose mathematical expressions embodying that understanding. However, this is not sufficient. It is also essential to have 606 $aCrop yields$xMathematical models 606 $aCrops$xGrowth$xMathematical models 608 $aElectronic books. 615 0$aCrop yields$xMathematical models. 615 0$aCrops$xGrowth$xMathematical models. 676 $a631.5/58015118 701 $aWallach$b Daniel$f1942-$0934051 701 $aMakowski$b David$f1972-$0926057 701 $aJones$b James Wigington$f1944-$0934052 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456966803321 996 $aWorking with dynamic crop models$92103000 997 $aUNINA