Growth and Yield Data for the Bushland, Texas, Sorghum Datasets
This dataset consists of growth and yield data for each season when sorghum [Sorghum bicolor (L.)] was grown at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In the 1988, 1991, 1993, 1997, 1998, 1999, 2003 through 2007, 2014, and 2015 seasons (13 years), sorghum was grown on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field also planted to sorghum. The square fields were themselves arranged in a larger square with four fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field were thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Sorghum was grown on different combinations of fields in different years. When irrigated, irrigation was by linear move sprinkler system years before 2014, and by both sprinkler and subsurface drip irrigation in 2014 and 2015. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigation at rates established as percentages of full irrigation ranging from 33% to 75% depending on the year.
The growth and yield data include plant population density, height, plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, head mass (when present), seed mass, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest. Machine harvest yields are commonly smaller than hand harvest yields due to combine losses.
These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on sorghum ET, crop coefficients, crop water productivity, and simulation modeling of crop water use, growth, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used for testing, and calibrating models of ET that use satellite and/or weather data.
See the README for descriptions of each data file.
Funding
USDA-ARS: 3090-13000-016-00D
History
Data contact name
Evett, Steven R.Data contact email
steve.evett@usda.govPublisher
Ag Data CommonsIntended use
These data may be used to test and calibrate models of plant growth, water use (ET), and yield, and may be used to develop crop coefficients for use with a reference evapotranspiration model to estimate crop water use. Care was taken to ensure that lysimeter ET data were representative of the 4.4 ha fields within which each lysimeter was centered. Therefore, satellite data with 100-m or smaller pixels may be suitable for use with the lysimeter data in testing and calibration of models based on satellite data.Use limitations
The data pertain to the specific location, soil, climate, cultivar, and agronomic practices described in the data sets. Extrapolation to other climates, soils, cultivars, and practices should be done with care. Individual fields were square and somewhat larger than 210 m in width and length, so care should be used when combining satellite data with these data if satellite image pixels are comparatively large. Observations of air temperature and relative humidity, wind speed, and solar irradiance taken at the lysimeters should not be used as weather input for simulation models; weather data observed under standard conditions at the research weather station should be used as input to simulation models. Plant growth and yield data are from replicate plots in each of the four lysimeter fields. Examination of the data variance should be examined to determine in there are clear differences in data from different fields. Number of replicates and plot sizes may have changed between seasons but are given in the data files.Temporal Extent Start Date
1988-01-01Temporal Extent End Date
2015-12-31Frequency
- irregular
Theme
- Not specified
Geographic Coverage
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USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, TexasISO Topic Category
- climatologyMeteorologyAtmosphere
- farming
- geoscientificInformation
National Agricultural Library Thesaurus terms
data collection; Agricultural Research Service; Texas; lysimeters; arid lands; protocols; soil water; soil profiles; water content; neutron probes; winter; spring; population density; leaf area index; developmental stages; aboveground biomass; leaves; head; mechanical harvesting; crop coefficient; irrigation scheduling; harvest index; irrigation systems; plant cultural practices; cultivars; simulation models; satellites; meteorological data; crop yield; Sorghum bicolor; microirrigation; seed weight; plant height; plant density; plant growth; evapotranspiration; remote sensing; climate; air temperature; relative humidity; wind speed; solar radiation; varianceOMB Bureau Code
- 005:18 - Agricultural Research Service
OMB Program Code
- 005:040 - National Research
ARS National Program Number
- 211
Primary article PubAg Handle
Pending citation
- No
Public Access Level
- Public