Beschreibung:
Highlighting effective, analytical functions that have been found useful for the comparison of alternative management techniques to maximize water and nutrient resources, this reference describes the application of viable mathematical models in data analysis to increase crop growth and yields. Featuring solutions to various differential equations,
INTRODUCTIONHistoric BackgroundYield Response ModelsGrowth ModelsEnvironmental InputSEASONAL RESPONSE MODELSBackgroundExtended Logistic ModelExtended Multiple Logistic ModelWater AvailabilityLegume/Grass InteractionGROWTH RESPONSE MODELSBackgroundEmpirical Growth ModelExtended Empirical Growth ModelPhenomenological Growth ModelExpanded Growth ModelMATHEMATICAL CHARACTERISTICS OF MODELSBackgroundPhenomenological Growth ModelExpanded Growth ModelRational Basis for Logistic ModelCoupling Among Applied Soil and Plant ComponentsAccumulation of Dry Matter and Plant NutrientsPASTURE SYSTEMSBackgroundQuadratic ModelLinear Exponential ModelNONLINEAR REGRESSION FOR MATHEMATICAL MODELSBackgroundLogistic ModelProbability ModelConfidence ContoursSensitivity AnalysisDimensionless PlotsCorrelation Coefficient