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 Cropping Systems and Water Quality Research: Columbia, MO
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ARS Home Midwest Area Columbia, Missouri Cropping Systems and Water Quality Research Research





- Sudduth, Kenneth - Ken
- 2023
- 2022
- Publications
- Water Availability and Watershed Management (211)
- Sustainable Agricultural Systems Research (216)

Research Project: **Location:
                            Cropping Systems and Water Quality Research** Project Number: 5070-13610-009-000-D
                        
                        Project Type: In-House Appropriated Start Date: Feb 15, 2022
                        
                        End Date: Feb 14, 2027 **Objective:**
                        
                        Objective 1: Optimize production systems for irrigated cotton, corn, soybean, and rice to improve crop water productivity under variable weather and soil conditions. 
1A: Develop improved methods for determining the appropriate values of field capacity for use in irrigation scheduling. 
1B: Develop a database of crop canopy sensing data for calculating crop coefficient in fields with uniform soil to serve as baseline for determining site-specific crop coefficients. 

Objective 2: Evaluate and/or develop site-specific best management irrigation practices based on localized soil and environmental conditions to optimize crop production while minimizing water usage. 
2A: Evaluate the potential for use of the ARSPivot program for variable-rate irrigation management in the sub-humid U.S. Mid-South. 
2B: Document the spatial variability of crop water coefficient and other crop and soil properties in a field and how they interact to affect crop water productivity. **Approach:**
                        
                        Our team will address impediments to the overall goal of improving performance, profitability, and sustainability of irrigated agriculture in humid and sub-humid climates. We will develop and refine tools to improve irrigation scheduling and develop improved methods for determining appropriate values for a specific soil’s field capacity, information which is essential for optimal water management. Building on our previous research and as part of a multi-location, multi-disciplinary team, we will investigate how best to achieve site-specific irrigation management through use of the ARSPivot computer program to manage mechanized irrigation systems, and observations of soil and crop variability within the field.


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