Source: OHIO STATE UNIVERSITY submitted to NRP
SCALING MICROIRRIGATION TECHNOLOGIES TO ADDRESS THE GLOBAL WATER CHALLENGE
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1009036
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
W-3128
Project Start Date
Jan 12, 2016
Project End Date
Sep 30, 2019
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
OHIO STATE UNIVERSITY
1680 MADISON AVENUE
WOOSTER,OH 44691
Performing Department
Food, Agric and Biological Engineering
Non Technical Summary
Water and nutrient management at a sub-field level hasthe potential to differentially transform the productive capacity and minimize the variability of production systems amidst weather extremes and landscape variability by optimizing crop responses over time and space. This effortintends to advance the science and application of precision management for crop production. Individual studies are planned thatdevelop management tools around enhancing water and nutrient management strategies here in Ohio and regionally. This will benefit society by enhancing the security of food, fiber and energy production systems, simultaneously reduce the impact or even enhance local soil andwater quality.
Animal Health Component
90%
Research Effort Categories
Basic
0%
Applied
90%
Developmental
10%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1110199202050%
2050199202050%
Goals / Objectives
Develop microirrigation designs and management practices that can be appropriately scaled to site-specific characteristics and end-user capabilities.
Project Methods
This project will conduct replicated field investigations focused on site-specific management of water and nutrients. Experiments will be conducted at Ohio State University'sexperiment stations, Farm Science Review and collaborative farms. Investigations will include evaluating and exploring new management strategies around sub-field water management while utilizing digital data streams (e.g. precision ag and machine) as additional information. Remote sensed imagery will be used when accessible via airborne or satellites to include within analyses as a proxy for identification of crop stress and in-field variability. APP development is also proposed to help support on-farm research projects providing experimental layout and documenting growing season notes. Participation in field days and similar outreach activities will be used to disseminate results and associated information.

Progress 01/12/16 to 09/30/19

Outputs
Target Audience:Farmers, consultants and extension personnel. Changes/Problems:No data was collected in 2017 due to the wet growing season. What opportunities for training and professional development has the project provided?Attended and participated in several Ohio State Extension fields presenting about the use of imagery and sensors within inseason cropping decisions. How have the results been disseminated to communities of interest?Through Ohio State workshops and fields days along with the Ohio State eFields report (https://digitalag.osu.edu/efields). What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? Between 2017 and 2019, scheduling pivotirrigation projects were planned with data only collected in 2018 and 2019. For 2018 and 2019, wireless soil moisture sensors were used to schedule pivot irrigation for corn and soybean production resulting in not only a yield increase between irrigated and non-irrigated crops but also more timely scheduling of irrigation events. On average, irrigation was scheduled two days earlier than farmer based decisions on managing pivots. As a result for using the wireless soil moisture sensors, soil moisture was maintained within optimum levels in 2018 using irrigation to apply water in between rain events thereby not allowing soil moisture to be a limiting yield factor for corn or soybeans. In 2019, the months of July and August were dry with no rainfall. The soil moisture sensors prompted the farmer to irrigate earlier than normally scheduled while also adjusting the amount applied (0.75" to 1.0") during ciritical reproductive growth stages. As a result, the soil profile between 0.5 and 1.0 m was maintained at the optimum moisture content though deficient irrigation during these two months. As a results of having the wireless soil moisture sensors, the corn yield potential was maintained.

Publications


    Progress 10/01/17 to 09/30/18

    Outputs
    Target Audience:This project has intended to reach farmers, agronomy consultants and other supporting farmers with their irrigation management. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?A webinar was held to overview wireless soil maoisture sensors for Ohio State Extension educators and farmer collaborators. How have the results been disseminated to communities of interest?There is nothing to report as 2017 represented Year 1 of this new project. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

    Impacts
    What was accomplished under these goals? Wireless soil moistures sensors were acquired and used this year for two irrigation systems in central Ohio. Data that included soil moisture and temperature was collected and evaulated for use in scheduling irrigation events in 2017. Data along with soil information were used to develop and evaulate irrigation scheduling for the growing conditions of the Miami Valley understanding how this information coupled with the technology could improve water use efficiency for corn and soybean production within river bottom soils. The focus of developing the irrigation scheduling protocal has been to reduce applied water to corn and soybeans within this region to preserve water quanity within the Miami Valley Acquifer.

    Publications


      Progress 10/01/16 to 09/30/17

      Outputs
      Target Audience:Farmers, agronomists, and consultants Changes/Problems:Wet spring and early growing season caused replant for several intended study sites. What opportunities for training and professional development has the project provided?Attended and participated in several Ohio State Extension fields presenting about the use of imagery and sensors within in-season cropping decisions. How have the results been disseminated to communities of interest?Workshops and fields days. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

      Impacts
      What was accomplished under these goals? 2017 represented a wet spring for Ohio with replant at several crop production studies. No data was collected related to irrigation other than final yield data that did not present data used to analyze treatments.

      Publications


        Progress 01/12/16 to 09/30/16

        Outputs
        Target Audience:Farmers, Agronomists, Extension personnel Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided?Professional developmentincluded participating in2 Ohiofield days and 1 regional project during the summer discussing the the linkage of water and nutrient management (e.g. N for corn) to maximize profit. Participants learned about the benefits of in-season measurements to helprefine water and nutrient decisions and how remote sensed imagery could be valuable to supply information for in-season N applications. How have the results been disseminated to communities of interest?Results have been disseminated to farmers and agronomists through traditional field days. What do you plan to do during the next reporting period to accomplish the goals?2017 project is planned to support this effort and provide additional year of data.

        Impacts
        What was accomplished under these goals? The prime impact of this effort has been the identification of using remote sensed imagery to evaulate in-season crop health but more importantly the influence of supplied water to crop vigor and yield. We have been able to explore how this imagery can track crop development and vigor supplying information to make in-season fertigation decisions.

        Publications