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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 #333938
Title: USDA-ARS Colorado maize water productivity data set

Author
item Trout, Thomas
item BAUSCH, WALTER - Retired ARS Employee

Submitted to: Irrigation Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 2/16/2017
Publication Date: 3/11/2017
Publication URL: http://handle.nal.usda.gov/10113/5725424
Citation: Trout, T.J., Bausch, W.C. 2017. USDA-ARS Colorado maize water productivity data set. Irrigation Science. 35:241–249. doi:10.1007/s00271-017-0537-9.
DOI: https://doi.org/10.1007/s00271-017-0537-9

Interpretive Summary: Crop models are important to generalize experimental results and to predict responses to management practices and environmental conditions, such as climate change. Datasets of measured crop responses to environment and management practices are needed by crop modelers to improve and validate models. Dataset publication is mandated by the federal government. The USDA-Agricultural Research Service conducted a water productivity field trial for irrigated maize in northeastern Colorado in 2008 through 2011. The dataset, which is available online from the USDA National Agricultural Library, includes measurements of irrigation, precipitation, soil water storage, and plant growth; daily estimates of crop evapotranspiration; and seasonal measurement of crop water use and crop yield. Soil parameters and hourly and daily weather data are also provided. This paper describes the dataset and the methodology used to collect the data. The dataset can be useful to evaluate and improve maize crop models.

Technical Abstract: The USDA-Agricultural Research Service conducted a water productivity field trial for irrigated maize in northeastern Colorado in 2008 through 2011. The dataset, which is available online from the USDA National Agricultural Library, includes measurements of irrigation, precipitation, soil water storage, and plant growth; daily estimates of crop evapotranspiration; and seasonal measurement of crop water use and crop yield. Soil parameters and hourly and daily weather data are also provided. This paper describes the dataset and the methodology used to collect the data. The dataset can be useful to evaluate and improve maize crop models.