2021
Determining the Economical Impact of Deer Populations on Soybeans in South Carolina
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
DiseaseField management Pest
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Cory Heaton, Clemson University
Co-Principal Investigators:
Kendall Kirk, Clemson University
Project Code:
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Soybeans are a preferred food source for white-tailed deer; however, the exact economic impact of deer populations on soybean fields is not known. This project affixes a predicted dollar value on the amount of soybean damage inflicted by deer feeding as a function of the white-tailed deer population for a given area. Such knowledge will be beneficial for supporting requests to address the depredation permitting process and for reassessing season and bag limits. Quantification of economic impact as a function of local population provides a basis for return on investment from damage mitigation; in short, it can assist in development of a guide for break-even costs of deer damage controls.

Key Benefactors:
farmers, agronomists, extension agents

Information And Results
Project Deliverables

Results of this proposed study will be disseminated to growers through presentations at grower meetings and field days. Additionally, project results may be included in press releases, social media, blogs, newsletters, scientific publications, fact sheets, and production guides.

Final Project Results

Updated January 17, 2022:

View uploaded report Word file

The main goal for this project was to quantify the amount of soybean damage inflicted by varying deer populations in a given area. To accomplish this, spotlight surveys were conducted to estimate white-tailed deer populations, while exclusion cages were used to determine soybean yield in the absence of deer feeding. Data collection began in February of 2021 with spotlight surveys on the north side of Barnwell County in order to estimate the white-tailed deer populations that were surrounding cooperating farmer’s fields. There were four survey routes that averaged about five miles in length for a total of 20.9 miles. The routes were surveyed three times and the average deer population was determined on a square mile basis for each route. Figure 1 shows a portion of the first route with the deer per square mile estimates highlighted in yellow for each roadway along the route. Unfortunately, only one of the four survey routes had soybeans planted along the route, had this been known earlier in the year routes would have been changed to include more soybean fields. In the route containing soybeans, five different fields were included in the study and had exclusion cages placed in them. There were a total of eleven soybean fields with four different cooperating farmers, and two soybean fields on Clemson’s Edisto Research and Education Center enrolled in the project. Each field had four exclusion cages and four plots without exclusion cages for a total of 104 research plots in the study. Based on consultation with the farmers, half of the caged and check plots were placed in high-pressure areas and half in low-pressure areas. Cages were constructed of 48-inch-tall field fence and measure 76 inches by 76 inches since all of the soybeans were planted using a 38-inch row spacing. Weekly aerial pictures were taken of each plot using a drone to determine canopy closure and possible deer damage. The weekly images were analyzed using a software program developed at Clemson to count the number of plant pixels and the number of soil pixels in each picture. Before plots were harvested for yield, plant heights and stand counts were collected. In the original proposal for the project a second round of spotlight surveys was proposed to be conducted in August; however, after conducting a survey of one route it was determined that summer-time/growing season surveys would not yield accurate estimates of deer populations. During this survey, many deer were jumping up from bedding in fields with taller crops; the survey crew was not able to accurately count the number of deer in those fields. It was also during this August survey that a new computer software application was designed by our Precision Ag group to aid researchers in recording and geo-tagging deer populations. The software will reduce labor requirements to survey and help to ensure repeatability between future surveys. The software operates on a tablet in the cab of the survey vehicle with a predetermined route loaded into the software program. As the driver navigates the map a GPS receiver is used to determine the vehicle’s position as the spotlight crew records the deer observed using a manual push button installed on the spotlights.

The 2021 February average deer population for the routes ranged from 108 to 229 deer per square mile; this is about seven times higher than the most recently published SCDNR estimates for Barnwell County according to a 2013 SCDNR deer density map. Yield data from exclusion cages and control plots suggested that deer were on average responsible for a 14 bu/ac loss as seen in Figure 2. In Figure 3 the yield data is shown by field and excluding the CR field there is a 10.6 bu/ac difference in yield on average. Figure 4 is the same data displayed as a percentage loss per field with an average loss of 18.2% if the CR field is excluded. It should be noted, however, that the CR field was not found to be a statistical outlier.

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.