A5005763595- Hydrology and Watershed Management Studies
- Irrigation Practices and Water Management
- Soil erosion and sediment transport
- Soil and Water Nutrient Dynamics
- Plant Water Relations and Carbon Dynamics
- Research in Cotton Cultivation
- Rice Cultivation and Yield Improvement
- Climate change impacts on agriculture
- Soil Carbon and Nitrogen Dynamics
- Groundwater and Isotope Geochemistry
- Bioenergy crop production and management
- Greenhouse Technology and Climate Control
- Water-Energy-Food Nexus Studies
- Plant responses to elevated CO2
- Groundwater flow and contamination studies
- Crop Yield and Soil Fertility
- Polysaccharides Composition and Applications
- Water resources management and optimization
- Urban Stormwater Management Solutions
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Soil Management and Crop Yield
- Rangeland and Wildlife Management
- Agronomic Practices and Intercropping Systems
- Botanical Research and Applications
Texas A&M University System
2014-2023
Texas A&M University
2013-2023
Texas A&M University – Kingsville
2023
United States Department of Agriculture
2012
Agricultural Research Service
2012
Purdue University West Lafayette
2008-2010
<abstract> <b><sc>Abstract.</sc></b> Hydrologic and water quality (H/WQ) models are widely used to support site-specific environmental assessment, design, planning, decision making. Calibration validation (C/V) fundamental processes demonstrate that an H/WQ model can produce suitable results in a particular application. However, the lack of comprehensive guidelines has led use ad hoc, inconsistent, incomplete C/V processes, which have made it difficult interpret myriad published modeling...
Grazing management practices affect watershed hydrology by altering vegetation cover and soil properties. Long-term success of grazing depends on how well increased forage harvest efficiency is balanced with the need to maintain aggregate stability. The overall objective this study was assess impacts alternate including light continuous (LC), heavy (HC), adaptive multipaddock (MP) grazing, no (EX; exclosure) hydrological processes at ranch scales in a rangeland-dominated (71% rangeland)...
<abstract> <b><sc>Abstract.</sc></b> Cotton is one of the major crops cultivated in Texas Rolling Plains region, and it a contributor to regional economy. cultivation this region facing severe challenges due an increase frequency droughts projected decrease rainfall future. Development evaluation deficit irrigation strategies for could potentially conserve water while maintaining cotton yields. In study, Decision Support System Agrotechnology Transfer (DSSAT) Cropping Model (CSM)...
Abstract Reliable seasonal weather forecasts are essential for irrigation management and crop yield prediction, particularly in regions with limited water resources. This study aimed to improve the usability of North American Multi-Model Ensemble (NMME), an experimental real-time forecast system, regional modelling decision-making. Coarse resolution NMME may introduce bias uncertainty at regional/local scales. To address this, a statistical downscaling method correction both mean variability...
The United States (US) is a major producer and exporter of cotton (Gossypium hirsutum L.). US produces about 20% the world&#8217;s production in country concentrated southern states, also known as &#8220;Cotton Belt&#8221;. Air temperature carbon dioxide (CO2) concentration are important abiotic factors that control growth development cotton. Global climate models (GCMs) project an increase air CO2 concentration, changes precipitation amounts patterns future. Thus, across Cotton...
Subsurface tile drains in agricultural systems of the midwestern United States are a major contributor nitrate-N (NO-N) loadings to hypoxic conditions Gulf Mexico. Hydrologic and water quality models, such as Soil Water Assessment Tool, widely used simulate drainage systems. The Hooghoudt Kirkham drain equations Tool have not been rigorously tested for predicting flow corresponding NO-N losses. In this study, long-term (1983-1996) monitoring plot data from southern Minnesota were evaluate...
Irrigated agriculture in the Texas High Plains (THP) region faces severe challenges due to rapidly declining groundwater levels underlying Ogallala Aquifer, recurring droughts, and projected warmer drier future climatic conditions. Scheduling irrigation with appropriate deficits different crop growth stages could improve water use efficiency (IWUE), thereby enable additional savings valuable without severely compromising yield. Our objective was identify efficient growth-stage-based variable...
Cotton boll count is an important phenotypic trait that aids in a better understanding of the genetic and physiological mechanisms cotton growth. Several computer vision technologies are available for segmentation. However, estimating number bolls segmented cluster challenging task due to complex shapes bolls. This study proposed combination spectral-spatial supervised machine learning based methods candidate recognition counting from high resolution RGB images obtained unmanned aerial...