Theses and Dissertations

ORCID

https://orcid.org/0009-0002-1725-2100

Advisor

Jha, Prakash Kumar

Committee Member

Mulvaney, Mike

Committee Member

Gholson, Drew

Committee Member

Bheemanahalli, Raju

Date of Degree

12-12-2025

Original embargo terms

Embargo 2 years

Document Type

Graduate Thesis - Open Access

Major

Plant & Soil Science (Agronomy)

Degree Name

Master of Science (M.S.)

College

College of Agriculture and Life Sciences

Department

Department of Plant and Soil Sciences

Abstract

Soybean is an economically significant crop in Mississippi, ranking third in agricultural income. With 1.9 million irrigated acres in 2022 and projections exceeding 2 million by 2027, most irrigation systems rely on furrow irrigation, leading to inefficient water use and higher evapotranspiration (ET) losses. This study develops and evaluates an integrated framework combining satellite derived ET with the DSSAT CSM-CROPGRO Soybean model to enhance irrigation efficiency. The model was calibrated and validated using GENCALC, while dynamic crop coefficient (Kc) curves were derived from Open ET and SSEBop-MODIS and validated against the eddy flux tower and the FAO-56 crop coefficient curve. Results showed that GENCALC provided superior phenology and yields closely matched the observed data. Ensemble ET closely matches flux observations (R²=0.49, RMSE=1.34, d-index=0.81, MBE=-0.47). Integrating satellite ET with a calibrated crop model offers a reliable, data-driven framework for improving irrigation scheduling and promoting water efficient soybean production in Mississippi.

Sponsorship (Optional)

Mississippi Soybean Promotion Board

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