Del i serien Books in Soils, Plants, and the Environment

Mathematical Models of Crop Growth and Yield

Häftad, Engelska, 2019

AvAllen R. Overman,Richard V. Scholtz III

1 329 kr

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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.

Produktinformation

Utgivningsdatum2019-09-05
Mått152 x 229 x 19 mm
Vikt453 g
FormatHäftad
SpråkEngelska
SerieBooks in Soils, Plants, and the Environment
Antal sidor344
FörlagTaylor & Francis Ltd
ISBN9780367395896

Tillhör följande kategorier

Agronomi inom Naturvetenskap och teknik

INTRODUCTION. Historic Background. Yield Response Models. Growth Models. Environmental Input. Summary. Exercises. References. SEASONAL RESPONSE MODELS. Background. Extended Logistic Model. Extended Multiple Logistic Model. Water Availability. Legume/Grass Interaction. Summary. Exercises. References. GROWTH RESPONSE MODELS. Background. Empirical Growth Model. Extended Empirical Growth Model. Phenomenological Growth Model. Expanded Growth Model. Exercises. References. MATHEMATICAL CHARACTERISTICS OF MODELS. Background. Phenomenological Growth Model. Expanded Growth Model. Rational Basis for Logistic Model. Coupling Among Applied Soil and Plant Components. Accumulation of Dry Matter and Plant Nutrients. Exercises. References. PASTURE SYSTEMS. Background. Quadratic Model. Linear Exponential Model. Summary. Exercises. References. NONLINEAR REGRESSION FOR MATHEMATICAL MODELS. Background. Logistic Model. Probability Model. Confidence Contours. Sensitivity Analysis. Dimensionless Plots. Correlation Coefficient. Exercises. References. Index.

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