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| Web URL(s): | http://www.swss.ws/wp-content/uploads/2021_SWSS_Proceedings_Final.pdf#page=160
Last checked: 06/24/2022
Requires: PDF Reader
Notes: Item is within a single large file |
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| Publication Type:
| Report |
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| Content Type: | Abstract or Summary Only |
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| Author(s): | Wilber, A. L.;
McCurdy, J. D.;
Czarnecki, J.;
Sullivan, D.;
Stewart, B.;
Dong, H. |
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| Author Affiliation: | Wilber, Czarnecki, Stewart, and Dong: Mississippi State University, Mississipi State, MS; McCurdy: Mississippi State University, Starkville, MS; Sullivan: TurfScout, LLC, Greensboro, NC |
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| Title: | Using vegetation indexes from aerial and ground-based sensors to evaluate preemergence herbicide effects on St. Augustinegrass (Stenotaphrum secundatum) sod grow-in |
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| Section: | 2021 Meeting abstract
Other records with the "2021 Meeting abstract" Section
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| Meeting Info.: | January 25-26, 2021 |
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| Source: | Proceedings of the Southern Weed Science Society 74th Annual Meeting. Vol. 74, 2021, p. 61-62. |
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| Publishing Information: | Biloxi, MS: Southern Weed Science Society |
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| # of Pages: | 2 |
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| Abstract/Contents: | "St. Augustinegrass (Stenotaphrum secundatum) is a commonly produced lawn grass in the southeastern US. Preemergence herbicides, which are applied to sod production fields to prevent annual weed contamination, may also negatively affect sod grow-in. The objective of this study was to evaluate St. Augustinegrass grow-in following preemergence herbicide treatments using aerial and handheld multispectral sensors. Field research was conducted at Mississippi State University as a randomized complete block design with four replications replicated twice in time (2019 and 2020). Ten plugs (232 cm2 apiece) of 'MSA 2-3-98' St. Augustinegrass were planted in each experimental unit (2.32 m2 ) on 12 June 2019 and 14 May 2020. Preemergence herbicide treatments were applied one day after planting with a CO2 pressurized back-pack sprayer in a water carrier volume of 374 L ha-1. Treatments included a nontreated check, prodiamine, pendimethalin, oxadiazon, S-metolachlor, atrazine, atrazine + S-metolachlor, and dithiopyr, as well as a treated-check, indaziflam. A Holland Scientific RapidSCAN CS-45 Handheld Crop Sensor (h) and a MicaSense RedEdge-MX sensor (a) attached to an unmanned aerial vehicle (UAV) were used to collect multispectral reflectance data weekly; data were used to calculate plot values of Normalized Difference Vegetation Index (NDVI), Ratio Vegetation Index (RVI), and Chlorophyll Index-Red Edge (CI-RE). Visual percentage cover was also evaluated weekly. Data were regressed and fit to sigmoidal, variable slope curves to estimate days to reach 50% maximum (Max50) nontreated response (GraphPad Prism 9.0.0, GraphPad Software, San Diego, CA). As a means of comparison, 95% confidence intervals were calculated for each estimate. Standard equivalence values (SEQ = slope/root mean square error) were used to compare assessment methodology. In 2019, prodiamine (0.60 kg ai ha-1), pendimethalin (1.66 kg ha-1), oxadiazon G (2.24 kg ha-1), S-metolachlor (2.78 kg ha-1), atrazine + S-metolachlor (2.24 + 1.74 kg ha-1), dithiopyr (0.42 kg ha-1), and indaziflam (0.033 kg ha-1) increased days to reach 50% visual cover (Cov50) compared to the nontreated. In 2020, prodiamine, S-metolachlor, dithiopyr, and indaziflam increased days to reach Cov50 compared to the nontreated. Visual data were largely confirmed by index values; for instance: in 2019, prodiamine increased days to reach Max50 hNDVI, hCI-RE, and aNDVI compared to the nontreated, while atrazine + S-metolachlor increased days to reach Max50 hNDVI. In 2020, pendimethalin increased days to reach Max50 hNDVI and hRVI, and Smetolachlor increased days to reach Max50 hNDVI, hRVI, and aNDVI. Dithiopyr increased days to reach Max50 hNDVI in 2020, and prodiamine increased days to reach Max50 aNDVI in 2020. In both years, indaziflam increased days to reach Max50 hNDVI, hRVI, hCI-RE, aNDVI, and aCIRE. Oxadiazon WSP and atrazine did not increase days to reach Cov50 and Max50 and can be recommended for preemergence control of annual weeds in St. Augustinegrass grow-in. Based on increased days to reach Cov50 and Max50 of several indexes, prodiamine, pendimethalin, S-metolachlor, and indaziflam (at tested rates) unacceptably impede St. Augustinegrass grow-in, yet future research may justify their use if benefits in weed control outweigh delayed cover. For brevity, SEQ data is not discussed but will be presented. Sensor-based evaluations provided a relatively low resolution and should be accompanied by visual evaluation. We hypothesize that specific indexes are better suited for different relative growth stages and will test that hypothesis in the future. Overall plant health, such as water and nutrient status, can impact reflectance values while not affecting cover and must be considered when using spectral reflectance data. Future research will explore new vegetation indexes that are more sensitive to changes in the visual cover of turfgrass canopies." |
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| Language: | English |
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| References: | 0 |
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| Note: | This item is an abstract only! |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Wilber, A. L., J. D. McCurdy, J. Czarnecki, D. Sullivan, B. Stewart, and H. Dong. 2021. Using vegetation indexes from aerial and ground-based sensors to evaluate preemergence herbicide effects on St. Augustinegrass (Stenotaphrum secundatum) sod grow-in. South. Weed Sci. Soc. Proc. 74:p. 61-62. |
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| Web URL(s):
http://www.swss.ws/wp-content/uploads/2021_SWSS_Proceedings_Final.pdf#page=160
Last checked: 06/24/2022
Requires: PDF Reader
Notes: Item is within a single large file |
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MSU catalog number: b2207931 |
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