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ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Water Management and Systems Research » Research » Publications at this Location » Publication #424897
Research Project: Improving Crop Performance and Precision Irrigation Management in Semi-Arid Regions through Data-Driven Research, AI, and Integrated Models

Location: Water Management and Systems Research

Title: Colorado sunflower water use, physiology and productivity dataset

Author
item Trout, Thomas
item Comas, Louise
item DeJonge, Kendall
item Zhang, Huihui

Submitted to: Data in Brief
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/29/2025
Publication Date: N/A
Citation: N/A

Interpretive Summary: The USDA-Agricultural Research Service conducted a deficit irrigation and water productivity field trial for irrigated sunflower (Helianthus annuus) in northeastern Colorado in 2008 through 2016. This dataset from that field trial, composed of five Excel spreadsheet workbooks, is available online from the USDA National Agricultural Library “Ag Data Commons”. The dataset includes measurements of irrigation amount, precipitation, soil water storage; plant growth above- and belowground and ecophysiological responses; daily estimates of crop evapotranspiration; and seasonal crop water use and crop yield data. Soil parameters, hourly and daily weather data, management practices, and photo images are also provided. Each data file includes a data dictionary. The dataset can be useful to develop and evaluate sunflower crop models.

Technical Abstract: The USDA-Agricultural Research Service conducted a deficit irrigation and water productivity field trial for irrigated sunflower (Helianthus annuus) in northeastern Colorado in 2008 through 2016. This dataset from that field trial, composed of five Excel spreadsheet workbooks, is available online from the USDA National Agricultural Library “Ag Data Commons”. The dataset includes measurements of irrigation amount, precipitation, soil water storage; plant growth above- and belowground and ecophysiological responses; daily estimates of crop evapotranspiration; and seasonal crop water use and crop yield data. Soil parameters, hourly and daily weather data, management practices, and photo images are also provided. Each data file includes a data dictionary. The dataset can be useful to develop and evaluate sunflower crop models.