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, the book covers the characteristics of the functions related to the phenomenological growth model. Including more than 1300 literature citations, display equations, tables, and figures and outlining an approach to mathematical crop modeling, Mathematical Models of Crop Growth and Yield will prove an invaluable resource.

This insightful reference/text describes the application of viable mathematical models in data analysis to increase crop growth and yields-highlighting effective, analytical functions that have been found useful for the comparison of alternative management techniques to maximize water and nutrient resources. Features solutions to various differential equations and considers different characteristics of the functions related to the phenomenological growth model. Mathematical Models of Crop Growth and Yield examines the response of seasonal dry matter to applied nutrients considers the accumulation of dry matter and plant nutrients explores sensitivity analysis and dimensionless plots assesses the transfer of nitrogen from a legume to a grass analyzes the linkage of animal production with forage production discusses water availability evaluates coupling among applied, soil, and plant components presents numerical procedures for regression analysis supplies extensive exercises for further study Enhanced by the inclusion of more than 1300 literature citations, display equations, tables, and figures, Mathematical Models of Crop Growth and Yield will prove an invaluable reference for plant pathologists; agriculturists; toxicologists; ecologists; botanists; agronomists; horticulturists; biochemists; foresters; plant culturists; biotechnologists; plant and crop physiologists; plant, crop, soil, and environmental scientists; agricultural, biological, and environmental engineers; crop managers; and crop modeling specialists; and an essential text for upper-level undergraduate and graduate students in these disciplines. Return to Top Table of Contents Introduction Seasonal Response Models Growth Response Models Mathematical Characteristics of Models Pasture Systems Nonlinear Regression for Mathematical Models Index Return to Top