A5018172510- Plant Water Relations and Carbon Dynamics
- Irrigation Practices and Water Management
- Greenhouse Technology and Climate Control
- Remote Sensing in Agriculture
- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Hydrology and Watershed Management Studies
- Research in Cotton Cultivation
- Leaf Properties and Growth Measurement
- Smart Agriculture and AI
- Soil and Water Nutrient Dynamics
- Rice Cultivation and Yield Improvement
- Remote Sensing and LiDAR Applications
- Soil Moisture and Remote Sensing
- Soil Carbon and Nitrogen Dynamics
- Soil and Unsaturated Flow
- Soil Geostatistics and Mapping
- Plant biochemistry and biosynthesis
- Spectroscopy and Chemometric Analyses
- Environmental Impact and Sustainability
- Water-Energy-Food Nexus Studies
- Urban Heat Island Mitigation
- Plant responses to elevated CO2
- Rangeland and Wildlife Management
- Groundwater and Isotope Geochemistry
Grassland, Soil and Water Research Laboratory
2023-2025
U.S. Arid Land Agricultural Research Center
2015-2024
United States Department of Agriculture
2011-2024
Agricultural Research Service
2013-2024
Maricopa Medical Center
2015
Iowa State University
2005-2006
University of Illinois Urbana-Champaign
2004
Greenhouse cultivation has evolved from simple covered rows of open-fields crops to highly sophisticated controlled environment agriculture (CEA) facilities that projected the image plant factories for urban agriculture. The advances and improvements in CEA have promoted scientific solutions efficient production plants populated cities multi-story buildings. Successful deployment requires many components subsystems, as well understanding external influencing factors should be systematically...
Physiological and developmental traits that vary over time are difficult to phenotype under relevant growing conditions. In this light, we developed a novel system for phenotyping dynamic in the field. System performance was evaluated on 25 Pima cotton (Gossypium barbadense L.) cultivars grown 2011 at Maricopa, Arizona. Field-grown plants were irrigated well watered water-limited conditions, with measurements taken different times 3 days July August. The carried four sets of sensors measure...
Observing system simulation experiments were used to investigate ensemble Bayesian state‐updating data assimilation of observations leaf area index (LAI) and soil moisture ( θ ) for the purpose improving single‐season wheat yield estimates with Decision Support System Agrotechnology Transfer (DSSAT) CropSim‐Ceres model. Assimilation was conducted in an energy‐limited environment a water‐limited environment. Modeling uncertainty prescribed weather inputs, parameters initial conditions,...
Abstract The application of high-throughput plant phenotyping (HTPP) to continuously study populations under relevant growing conditions creates the possibility more efficiently dissect genetic basis dynamic adaptive traits. Toward this end, we employed a field-based HTPP system that deployed sets sensors simultaneously measure canopy temperature, reflectance, and height on cotton (Gossypium hirsutum L.) recombinant inbred line mapping population. evaluation trials were conducted...
Most studies assessing chlorophyll fluorescence (ChlF) have examined leaf responses to environmental stress conditions using active techniques. Alternatively, passive techniques are able measure ChlF at both and canopy scales. However, the measurement principles of different, only a few datasets concerning relationships between them reported in literature. In this study, we investigated potential for interchanging measurements with different temporal spatial The ultimate objective was...
Understanding spatiotemporal variability in precipitation and temperature their future projections is critical for assessing environmental hazards planning long-term mitigation adaptation. In this study, 18 Global Climate Models (GCMs) from the most recent Coupled Model Intercomparison Project phase 6 (CMIP6) were employed to project mean annual, seasonal, monthly precipitation, maximum air (Tmax), minimum (Tmin) Bangladesh. The GCM bias-corrected using Simple Quantile Mapping (SQM)...
Soils lie at the interface between atmosphere and subsurface are a key component that control ecosystem services, food production, many other processes Earth's surface. There is long-established convention for identifying mapping soils by texture. These readily available, georeferenced soil maps databases used widely in environmental sciences. Here, we show these traditional classifications can be inappropriate, contributing to bias uncertainty applications from slope stability water...
Planting winter cover crops into corn-soybean rotations is a potential approach for reducing subsurface drainage and nitrate-nitrogen (NO3-N) loss. However, the long-term impact of this practice needs investigation. We evaluated RZWQM2 model against comprehensive field data (2005-2009) in Iowa used to study (1970-2009) hydrologic nitrogen cycling effects crop within rotation. The calibrated satisfactorily simulated yield, biomass, N uptake with percent error (PE) 15% relative root mean...
A fall-planted winter cover crop is an agricultural management practice with multiple benefits that may include reducing nitrate (NO<sub>3</sub>) losses from artificial drained fields. While the commonly used in southern and eastern United States, little known about its efficacy midwestern states where winters are longer colder, subsurface drainage widely corn–soybean systems (<i>Zea mays</i> L.–<i>Glycine max</i> L.). We a field-tested version of Root Zone Water Quality Model (RZWQM) to...
Abstract. Crop growth simulation models can address a variety of agricultural problems, but their use to directly assist in-season irrigation management decisions is less common. Confidence in model reliability be increased if are shown provide improved recommendations, which explicitly tested the field. The objective this study was compare CSM-CROPGRO-Cotton (with recently updated ET routines) well-tested FAO-56 scheduling spreadsheet by (1) using both tools schedule cotton during 2014 and...
Improvement of crop water use efficiency (CWUE), defined as yield per volume used, is an important goal for both management and breeding. While many technologies have been developed measuring in studies, rarely these techniques applied at the scale breeding plots. The objective was to develop a high-throughput methodology quantifying cotton trial Maricopa, AZ, USA 2016 2017, using evapotranspiration (ET) measurements from co-located irrigation evaluate approach. Approximately weekly...