Updated April 19, 2021:
Limited progress has occurred on this project because the soybeans have not yet been planted. However to date, site selection has been made and the field has been sprayed with burndown herbicide, supplemental fertilizer has been applied as well as lime. Seed has been ordered and delivered to EREC. Soil moisture sensors were purchased and built in the field season of 2020, so they are ready to be installed after planting occurs. We anticipate planting soybean the middle of May 2021.
Updated July 15, 2021:
SCSB Quarterly Report
General Information
Principal Investigator(s) Name(s): Michael Plumblee and Matt Inman
Organization: Clemson University – Edisto REC
Date: July 15, 2021
Quarter: 2nd
Proposal Information
Title: Determining the Optimum Soil Moisture Sensor Threshold in Soybean
Amount Expended to Date: $3,825.57 (Most of the expenses thus far have been to purchase lime, fertilizer, herbicides, and begin paying a partial stipend of a graduate student)
Progress Assessment
Wendy Buchanan, the M.S. graduate student working on this project has been actively checking soil moisture sensors since planting.
On-Station Location
A field (B10A) at Edisto REC in Blackville, SC has been selected for this trial. This is the same location as the 2020 trial so that soil texture is similar. This field is irrigated with overhead irrigation (lateral move like center pivot). As of July 15, 2021, the field has been sprayed with burndown herbicide application and the field has been strip tilled. Soybean was planted on June 16th with Asgrow 69XF0 at 130,000 seed per acre on 30-inch row spacing. Soil moisture sensors were installed immediately following soybean emergence. Post emergence herbicides have been applied and timely rainfall has prevented any irrigation events from going out on as of 7/15/21. As we progress through the growing season, we anticipate water use to increase and cause sensor thresholds to trigger.
Key Performance Indicators
Key performance indicators for this study will be determined at harvest (to determine if irrigation treatment and threshold value had any direct yield benefit). The water use efficiency data and yield data from this trial will help determine if there is an optimum soil moisture threshold that can be utilized for irrigated soybean. These data will be compared with the data collected and generated in the 2020 growing season. This research will help develop irrigation scheduling recommendations where soil moistures sensors are incorporated. Furthermore, this research will allow for a threshold to be selected that maximized yield and water use efficiency. As of now key circumstances impacting this research are continuous rainfall or lack thereof, and continued maintenance of the plots.
Next Steps
Over the next quarter we plan to continue with the management of the soybean crop and implementing irrigation treatments (irrigation, scouting for pests, etc.).
Updated October 16, 2021:
SCSB Quarterly Report
General Information
Principal Investigator(s) Name(s): Michael Plumblee
Organization: Clemson University – Edisto REC
Date: October 15, 2021
Quarter: 3rd
Proposal Information
Title: Determining the Optimum Soil Moisture Sensor Threshold in Soybean
Amount Expended to Date: $5,823.42 (Most of the expenses thus far have been to purchase lime, fertilizer, herbicides, and begin paying a partial stipend of a graduate student)
Progress Assessment
Wendy Buchanan, the M.S. graduate student working on this project has been actively checking soil moisture sensors since planting.
On-Station Location
As the growing season has progressed several irrigation thresholds have triggered, even though timely rainfall has occurred in Blackville throughout the summer. The most aggressive threshold (-15 kPa) had approximately 5.25 inches of irrigation applied; the average threshold (-30 kPa) had approximately 3.75 inches of irrigation applied; the most passive threshold (-60 kPa) had approximately 2.5 inches of irrigation applied. The majority of irrigation applications this year occurred in August and September when soybean reached reproductive growth stages and water use was maximized. Soybean was sprayed with Besiege (insecticide) and Approach Prima (fungicide) at the R3 growth stage. Overall, soybean plots look good, and we anticipate harvesting at the end of October or beginning of November.
Key Performance Indicators
Key performance indicators for this study will be determined at harvest (to determine if irrigation treatment and threshold value had any direct yield benefit). The water use efficiency data and yield data from this trial will help determine if there is an optimum soil moisture threshold that can be utilized for irrigated soybean. These data will be compared with the data collected and generated in the 2020 growing season. This research will help develop irrigation scheduling recommendations where soil moistures sensors are incorporated. Furthermore, this research will allow for a threshold to be selected that maximized yield and water use efficiency. As of now key circumstances impacting this research are continuous rainfall or lack thereof, continued maintenance of the plots, and getting the plots harvested.
Next Steps
Over the next quarter we plan to harvest the soybean plots and begin the data analysis component of this project.
Updated December 16, 2021:
SCSB Quarterly Report
General Information
Principal Investigator(s) Name(s): Michael Plumblee
Organization: Clemson University – Edisto REC
Date: December 15, 2021
Quarter: 4th
Proposal Information
Title: Determining the Optimum Soil Moisture Sensor Threshold in Soybean
Amount Expended to Date: $6,756.50 (Most of the expenses thus far have been to purchase lime, fertilizer, herbicides, and begin paying a partial stipend of a graduate student)
Progress Assessment
Wendy Buchanan, the M.S. graduate student working on this project has been actively checking soil moisture sensors since planting.
On-Station Location
Soybean was harvested on November 12, 2021. All irrigation was terminated at the R6.5 growth stage in soybean and no further irrigation was applied since the last progress report. From a preliminary assessment of the data, the rainfall that we received throughout the growing season appeared to be sufficient in producing high-yielding soybean, thus a significant yield effect may not be observed in the 2021 data, however meaningful data on water use and water use efficiency will still be conducted and shared. All data has been entered and is in the process of being analyzed and written into a publication. Wendy Buchanan, a student working on this project anticipates graduating in the spring of 2022 and is actively writing her thesis which contains this project.
Key Performance Indicators
Key performance indicators for this study will be determined at harvest (to determine if irrigation treatment and threshold value had any direct yield benefit). The water use efficiency data and yield data from this trial will help determine if there is an optimum soil moisture threshold that can be utilized for irrigated soybean. These data will be compared with the data collected and generated in the 2020 growing season. This research will help develop irrigation scheduling recommendations where soil moistures sensors are incorporated. Furthermore, this research will allow for a threshold to be selected that maximized yield and water use efficiency. As of now key circumstances impacting this research are continuous rainfall or lack thereof, continued maintenance of the plots, and getting the plots harvested.
Next Steps
Over the next quarter, we plan to complete all data analysis and writing components of this project. We also plan on presenting the results of this project over the winter at producer meetings throughout the region.