Degree Type

Creative Component

Semester of Graduation

Spring 2021

Department

Agronomy

First Major Professor

Dr. Matthew J. Helmers

Second Major Professor

Dr. Kenneth J. Moore

Degree(s)

Master of Science (MS)

Major(s)

Agronomy

Abstract

Current subsurface drainage design methodology has not progressed beyond the mere physics of water flow, and subsequently is inadequate for answering managerial questions that beset stakeholders across the agricultural landscape. By evolving the current methodology through the coalescing power of currency (specifically the United States dollar), an integrated model of design is proposed that is adaptive across time, space, commodity, and economic climate by utilizing spatial mapping and localized measured yield responses to systematic drainage. This novel model results in a profitability coefficient that can quantitatively answer managerial questions regarding capital prioritization and scarcity.

The adaptive, spatial, financial model for subsurface drainage design is elucidated through a case study involving thirteen years of yield data in a corn-soybean rotation field in northcentral Indiana. The returns of the phased-in systematic drainage are quantified to the correlative variable of wetness potential and transposed onto a second field. Then, by assimilating anticipated market conditions to create a profitability coefficient utilizing internal rates of returns weighted by acres, the managerial questions are resolved for the operation in study.

Copyright Owner

Bowman, Evan

File Format

PDF

Embargo Period (admin only)

4-20-2021

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