Mathematical Models of Crop Growth and YieldHighlighting 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. |
Other editions - View all
Mathematical Models of Crop Growth and Yield Allen R. Overman,Richard V. Scholtz III Limited preview - 2002 |
Mathematical Models of Crop Growth and Yield Allen R. Overman,Richard V. Scholtz III No preview available - 2002 |
Mathematical Models of Crop Growth and Yield Allen R Overman,Richard V Scholtz III No preview available - 2019 |
Common terms and phrases
Agron analysis appear applied N applied nitrogen Assume average bermuda Calculate calendar coastal bermudagrass common constant crop Curves drawn Data adapted defined Dependence describe Discuss the results Draw drawn from Eq dry matter accumulation dry matter yield edited estimated et al exp(b expanded experiment fertilizer Figure follows forage function Gainesville given gkgÀ1 grass grown growth model growth quantifier haÀ1 kg haÀ1 harvest interval hyperbolic irrigation kgÀ1 leads levels linear graph paper loam logistic equation logistic model mathematical matter and plant maximum measured Mg haÀ1 kg model curves obtain Overman parameters pensacola bahiagrass plant N concentration plant N uptake plant nutrient Plot dry matter production relationship reported respectively response to applied roots seasonal Show shown in Fig soil standard Table tops University values Watkinsville Yield response York