Progress 03/15/22 to 03/14/23
Outputs
Target Audience:The target audience for this project was primarily farmers and the scientific community. The farmers were the primary audience since the project aimed to promote water conservation practices and sustainable cropping systems. The scientific community was also a significant audience since the project's results would contribute to the body of knowledge on precision water application, water conservation and climate-smart agriculture. Efforts involved to achieve the objectives: On-farm Research: The project conducted on-farm research to understand the effects of site-specific water management practices on crop yields and water use efficiency. We collaborated directly with producers or crop consultants to implement these experiments. Conferences: The project team presented preliminary research findings on precision irrigation and crop modeling at four conferences targeting the scientific community and farmers. Changes/Problems:Co-PI Dr. Murilo Maeda with Texas A&M AgriLife Extension, responsible for extension and outreach efforts, left his position in November 2022. This unexpected change in the research team will likely delay activities related to extension and outreach. What opportunities for training and professional development has the project provided?Three graduate students, two in agronomy and one in agricultural economics, are involved in this project. They have developed research skills through conducting research, including collecting and analyzing data, and presenting preliminary results at various conferences. These training and professional development activities will facilitate these students to achieve their education and career goals. How have the results been disseminated to communities of interest?In the first year, we focused on disseminating preliminary results to the scientific community. The team presented eight abstracts at four conferences. The variable rate irrigation results were also shared with the participating producer and a crop consultant directly involved in this study. What do you plan to do during the next reporting period to accomplish the goals?1). Implement the on-farm precision irrigation experiments and data collection for crop modeling in 2023. 2). Build models to predict crop yield in response to irrigation amounts as affected by environmental factors for within-field precision irrigation management. 3). Develop Python scripts to enable automation of DSSAT to simulate crop resilience to different climate change scenarios at a regional scale. 4). Identify a replacement scientist at Texas A&M AgriLife Extension to engage in extension and outreach activities.
Impacts
What was accomplished under these goals?
On-farm precision irrigation research was conducted in Parmer County, Texas in 2022. The first year's data facilitated modeling cotton yield responses to irrigation rates at various landscape positions and soil properties. The analysis of this dataset provided insights into precision irrigation management in a drought year. This will help develop within-field precision water management to improve water use efficiency and water conservation and protect the environment. Plant and soil data collected from more than 40 fields in 2022 and a historical dataset on cropping systems and associated water use, crop yield, and economic returns under various cropping systems helped calibrate a crop model (DSSAT) to simulate the resilience of cropping systems under different climate change scenarios. Enterprise budgets are the primary framework adopted in this study to assess the profitability of an economic enterprise. We developed enterprise budget templates for several crops under dryland and irrigated scenarios, including corn, cotton, sorghum, and wheat. Each enterprise budget will be extended into a cropping system budget on a per acre-year basis. The evaluation of cropping system resilience will be performed using simulation analyses with yield data derived from the DSSAT under various climatic conditions.
Publications
- Type:
Book Chapters
Status:
Published
Year Published:
2023
Citation:
Guo, W., Gu, H., Adedeji, O., Ghimire, B. (2023). Advances in remote/aerial sensing of crop water status. In: Lobsey, C. and Biswas, A. (ed.), Advances in Sensor Technology for Sustainable Crop Production. Burleigh Dodds Scientific Publishing, Cambridge, United Kingdom. p. 1-39.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Ghimire, B., Guo, W. (2023). Application of DSSAT model to simulate cotton yield response to different irrigation systems in the Southern High Plains of Texas. New Orleans, LA: Beltwide Cotton Conference.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Karn, R., Gu, H., Guo, W. (2022). Simulation of nitrogen uptake and yield in dryland cotton using DSSAT crop modeling. Baltimore, MD: ASA-CSSA-SSSA.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Adedeji, O., Guo, W. (2022). Estimation of cotton biomass using unmanned aerial systems and satellite-based remote sensing. Minneapolis, MN: International Society of Precision Agriculture.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Adedeji, O., Lin, Z., Guo, W. (2022). Modeling spatial and temporal variability of cotton yield using DSSAT for decision support in precision agriculture. Minneapolis, MN: International Society of Precision Agriculture.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Guo, W. (2022). On-farm Research on Precision Irrigation Opportunities and Challenges in a Semi-arid Environment. Data-Intensive Farm Management- NC1210-CIGOFT Conference. Corpus Christi, TX: University of Illinois.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2023
Citation:
Adedeji, O., Ghimire, B., Karn, R., Wieber, E., Guo, W. (2023). Estimation of Cotton Plant height using UAS and RTK-GNSS technology. New Orleans, LA: Beltwide Cotton Conference.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Adedeji, O., Wieber, E., Karn, R., Ghimire, B., Guo, W. (2022). Assessment of within-field spatial variabilities and management zones for precision Irrigation in the Southern High Plains. Baltimore, MD: ASA-CSSA-SSSA.
- Type:
Conference Papers and Presentations
Status:
Published
Year Published:
2022
Citation:
Ghimire, B., Karn, R., Adedeji, O., Guo, W. (2022). Integration of remote sensing data into crop model for estimating cotton growth and yield in West Texas. Baltimore, MD: ASA-CSSA-SSSA.
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