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ARS Home » Southeast Area » Florence, South Carolina » Coastal Plain Soil, Water and Plant Conservation Research » Research » Publications at this Location » Publication #402853
Research Project: Innovative Technologies and Practices to Enhance Water Quantity and Quality Management for Sustainable Agricultural Systems in the Southeastern Coastal Plain

Location: Coastal Plain Soil, Water and Plant Conservation Research

Title: Supplemental data for using NDVI for vareiable rate cotton irrigation prescriptions

Author
item Stone, Kenneth - Ken
item Billman, Eric
item BAUER, PHILIP - Retired ARS Employee
item SIGUA, GILBERT - Retired ARS Employee

Submitted to: Figshare
Publication Type: Database / Dataset
Publication Acceptance Date: 3/14/2023
Publication Date: 3/14/2023
Citation: Stone, K.C., Billman, E.D., Bauer, P.J., Sigua, G.C. 2023. Supplemental data for using NDVI for vareiable rate cotton irrigation prescriptions. Figshare. https://doi.org/10.13031/22270096.
DOI: https://doi.org/10.13031/22270096

Interpretive Summary: .

Technical Abstract: This is digital research data corresponding to a published manuscript, Using NDVI For Variable Rate Cotton Irrigation Prescriptions, in Applied Engineering in Agriculture, 2022, Volume 38(5): 787-795. doi:10.13031/aea.15071. Irrigation timing is crucial for achieving high cotton yields and lint quality. This irrigation timing is more challenging in the southeastern U.S. Coastal Plain region due to its spatial variable sandy soils with low water and nutrient holding capacities and rainfall variability during the growing season. To address these challenges, we conducted a 2-year (2017 and 2018) study evaluating two irrigation scheduling methods under a variable rate irrigation system. The two irrigation methods were: (1) a uniform irrigation management based on weekly crop water usage, and (2) spatial crop coefficients derived from normalized difference vegetative indices (NDVI). We compared cotton yields and water use efficiency using the two irrigation scheduling methods at two different planting densities. The two plant populations were 5 and 11.5 plants m2 to provide different NDVI readings and water requirements