Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-24T05:06:48.808Z Has data issue: false hasContentIssue false
  • English
  • Français

Droplet Size Impact on Efficacy of a Dicamba-plus-Glyphosate Mixture

Published online by Cambridge University Press:  14 March 2019

Thomas R. Butts Open the ORCID record for Thomas R. Butts [Opens in a new window] ,
Chase A. Samples ,
Lucas X. Franca ,
Darrin M. Dodds ,
Daniel B. Reynolds ,
Jason W. Adams Open the ORCID record for Jason W. Adams [Opens in a new window] ,
Richard K. Zollinger ,
Kirk A. Howatt ,
Bradley K. Fritz  and
Clint W. Hoffmann
...Show all authors
Thomas R. Butts*
Affiliation:
Current, Assistant Professor, Extension Weed Scientist, University of Arkansas System Division of Agriculture, 2001 Highway 70 E, Lonoke, AR, USA; Former, Graduate Research Assistant, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 402 West State Farm Road, North Platte, NE, USA
Chase A. Samples
Affiliation:
Extension Associate, Department of Plant and Soil Sciences, Mississippi State University, Mississippi State, MS, USA
Lucas X. Franca
Affiliation:
Graduate Student, Department of Plant and Soil Sciences, Mississippi State University, PO Box 9555, Mississippi State, MS, USA
Darrin M. Dodds
Affiliation:
Associate Professor, Department of Plant and Soil Sciences, Mississippi State University, PO Box 9555, Mississippi State, MS, USA
Daniel B. Reynolds
Affiliation:
Professor, Department of Plant and Soil Sciences, Mississippi State University, PO Box 9555, Mississippi State, MS, USA
Jason W. Adams
Affiliation:
Research Specialist, Department of Plant Sciences, North Dakota State University, PO Box 6050, Fargo, ND, USA
Richard K. Zollinger
Affiliation:
Professor, Department of Plant Sciences, North Dakota State University, PO Box 6050, Fargo, ND, USA
Kirk A. Howatt
Affiliation:
Associate Professor, Department of Plant Sciences, North Dakota State University, PO Box 6050, Fargo, ND, USA
Bradley K. Fritz
Affiliation:
Agricultural Engineer, USDA-ARS Aerial Application Technology Research Unit, 3103 F&B Road, College Station, TX, USA
Clint W. Hoffmann
Affiliation:
Agricultural Engineer, USDA-ARS Aerial Application Technology Research Unit, 3103 F&B Road, College Station, TX, USA
Joe D. Luck
Affiliation:
Associate Professor, Department of Biological Systems Engineering, University of Nebraska-Lincoln, PO Box 830726, Lincoln, NE, USA
Greg R. Kruger
Affiliation:
Associate Professor, Department of Agronomy and Horticulture, University of Nebraska-Lincoln, 402 West State Farm Road, North Platte, NE, USA
*
Author for correspondence: Thomas R. Butts, University of Arkansas System Division of Agriculture, 2001 Highway 70 E, Lonoke, AR 72086 USA. (Email: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

Chemical weed control remains a widely used component of integrated weed management strategies because of its cost-effectiveness and rapid removal of crop pests. Additionally, dicamba-plus-glyphosate mixtures are a commonly recommended herbicide combination to combat herbicide resistance, specifically in recently commercially released dicamba-tolerant soybean and cotton. However, increased spray drift concerns and antagonistic interactions require that the application process be optimized to maximize biological efficacy while minimizing environmental contamination potential. Field research was conducted in 2016, 2017, and 2018 across three locations (Mississippi, Nebraska, and North Dakota) for a total of six site-years. The objectives were to characterize the efficacy of a range of droplet sizes [150 µm (Fine) to 900 µm (Ultra Coarse)] using a dicamba-plus-glyphosate mixture and to create novel weed management recommendations utilizing pulse-width modulation (PWM) sprayer technology. Results across pooled site-years indicated that a droplet size of 395 µm (Coarse) maximized weed mortality from a dicamba-plus-glyphosate mixture at 94 L ha–1. However, droplet size could be increased to 620 µm (Extremely Coarse) to maintain 90% of the maximum weed mortality while further mitigating particle drift potential. Although generalized droplet size recommendations could be created across site-years, optimum droplet sizes within each site-year varied considerably and may be dependent on weed species, geographic location, weather conditions, and herbicide resistance(s) present in the field. The precise, site-specific application of a dicamba-plus-glyphosate mixture using the results of this research will allow applicators to more effectively utilize PWM sprayers, reduce particle drift potential, maintain biological efficacy, and reduce the selection pressure for the evolution of herbicide-resistant weeds.

Keywords

Kevin Bradley, University of MissouriDicambaglyphosateApplication optimizationprecision agriculturepulse-width modulationsite-specific weed managementweed control
Type
Research Article
Information
Weed Technology , Volume 33 , Issue 1 , February 2019 , pp. 66 - 74
Copyright
© Weed Science Society of America, 2019. 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Cite this article: Butts TR, Samples CA, Franca LX, Dodds DM, Reynolds DB, Adams JW, Zollinger RK, Howatt KA, Fritz BK, Clint Hoffmann W, Luck JD, Kruger GR (2019) Droplet size impact on efficacy of a dicamba-plus-glyphosate mixture. Weed Technol 33:66–74. doi: 10.1017/wet.2018.118

References

Alves, GS, Kruger, GR, da Cunha, JPAR, de Santana, DG, LAT, Pinto, Guimaraes, F, Zaric, M (2017a) Dicamba spray drift as influenced by wind speed and nozzle type. Weed Technol 31:724–731 Google Scholar
Alves, GS, Kruger, GR, da Cunha, JPAR, Vieira, BC, Henry, RS, Obradovic, A, Grujic, M (2017b) Spray drift from dicamba and glyphosate applications in a wind tunnel. Weed Technol 31:387–395 Google Scholar
Anglund, EA, Ayers, PD (2003) Field evaluation of response times for a variable rate (pressure-based and injection) liquid chemical applicator. Appl Eng Agric 19:273–282 Google Scholar
ASABE (2009) Spray Nozzle Classification by Droplet Spectra, ANSI/ASAE S572.2. St. Joseph, MI: American Society of Agricultural and Biological Engineers. 4 pGoogle Scholar
Bish, MD, Bradley, KW (2017) Survey of Missouri pesticide applicator practices, knowledge, and perceptions. Weed Technol 31:165–177 Google Scholar
Bueno, MR, da Cunha, JPAR, de Santana, DG (2017) Assessment of spray drift from pesticide applications in soybean crops. Biosyst Eng 154:35–45 Google Scholar
Butts, TR, Butts, LE, Luck, JD, Fritz, BK, Hoffmann, WC, Kruger, GR (2019a) Droplet size and nozzle tip pressure from a pulse-width modulation sprayer. Biosyst Eng 178:52–69 Google Scholar
Butts, TR, Luck, JD, Fritz, BK, Hoffmann, WC, Kruger, GR (2019b) Evaluation of spray pattern uniformity using three unique analyses as impacted by nozzle, pressure, and pulse-width modulation duty cycle. Pest Manag Sci, 10.1002/ps.5352Google Scholar
Butts, TR, Hoffmann, WC, Luck, JD, Kruger, GR (2018a) Droplet velocity from broadcast agricultural nozzles as influenced by pulse-width modulation. Pages 24–52 in Fritz BK, Butts TR, eds. Pesticide Formulations and Delivery Systems: Innovative Application, Formulation, and Adjuvant Technologies, STP 1610. West Conshohocken, PA: ASTM International Google Scholar
Butts, TR, Samples, CA, Franca, LX, Dodds, DM, Reynolds, DB, Adams, JW, Zollinger, RK, Howatt, KA, Fritz, BK, Clint Hoffmann, W, Kruger, GR (2018b) Spray droplet size and carrier volume effect on dicamba and glufosinate efficacy. Pest Manag Sci 74:2020–2029 Google Scholar
Capstan Ag Systems Inc. (2013) PinPoint Synchro Product Manual. Topeka, KS: Capstan Ag Systems. 112 pGoogle Scholar
Crawley, MJ (2013) The R Book. 2nd edn. Silwood Park, UK: John Wiley & Sons, Ltd. 1051 pGoogle Scholar
Creech, CF, Henry, RS, Fritz, BK, Kruger, GR (2015) Influence of herbicide active ingredient, nozzle type, orifice size, spray pressure, and carrier volume rate on spray droplet size characteristics. Weed Technol 29:298–310 Google Scholar
Creech, CF, Moraes, JG, Henry, RS, Luck, JD, Kruger, GR (2016) The impact of spray droplet size on the efficacy of 2,4-D, atrazine, chlorimuron-methyl, dicamba, glufosinate, and saflufenacil. Weed Technol 30:573–586 Google Scholar
Ebert, TA, Taylor, RAJ, Downer, RA, Hall, FR (1999) Deposit structure and efficacy of pesticide application. 1: Interactions between deposit size, toxicant concentration and deposit number. Pestic Sci 55:783–792 Google Scholar
Egan, JF, Barlow, KM, Mortensen, DA (2014) A meta-analysis on the effects of 2,4-D and dicamba drift on soybean and cotton. Weed Sci 62:193–206 Google Scholar
Ennis, WB, Williamson, RE (1963) Influence of droplet size on effectiveness of low-volume herbicidal sprays. Weeds 11:67–72 Google Scholar
Feng, PCC, Chiu, T, Sammons, RD, Ryerse, JS (2009) Droplet size affects glyphosate retention, absorption, and translocation in corn. Weed Sci 51:443–448 Google Scholar
Ferguson, JC, Chechetto, RG, Adkins, SW, Hewitt, AJ, Chauhan, BS, Kruger, GR, O’Donnell, CC (2018) Effect of spray droplet size on herbicide efficacy on four winter annual grasses. Crop Prot 112:118–124 Google Scholar
Forster, WA, Kimberley, MO, Zabkiewicz, JA (2005) A universal spray droplet adhesion model. T ASAE 48:1321–1330 Google Scholar
Giles, DK, Comino, JA (1989) Variable flow control for pressure atomization nozzles. J Commercial Veh SAE Trans 98:237–249 Google Scholar
Giles, DK, Henderson, GW, Funk, K (1996) Digital control of flow rate and spray droplet size from agricultural nozzles for precision chemical application. Pages 729–738 in Robert PC, Rust RH, Larson WE, eds. Precision Agriculture. Proceedings of the 3rd International Conference, Minneapolis, Minn., June 23–26, 1996. Madison, WI: American Society of Agronomy Google Scholar
GopalaPillai, S, Tian, L, Zheng, J (1999) Evaluation of a flow control system for site-specific herbicide applications. T ASAE 42:863–870 Google Scholar
Grisso, RD, Dickey, EC, Schulze, LD (1989) The cost of misapplication of herbicides. Appl Eng Agric 5:344–347 Google Scholar
Henry, RS, Kruger, GR, Fritz, BK, Hoffmann, WC, Bagley, WE (2014) Measuring the effect of spray plume angle on the accuracy of droplet size data. Pages 129–138 in C Sesa, ed., Pesticide Formulations and Delivery Systems: Sustainability. Contributions from Formulation Technology, STP1569. West Conshohocken, PA: ASTM International Google Scholar
Jensen, PK, Jorgensen, LN, Kirknel, E (2001) Biological efficacy of herbicides and fungicides applied with low-drift and twin-fluid nozzles. Crop Prot 20:57–64 Google Scholar
Johnson, AK, Roeth, FW, Martin, AR, Klein, RN (2006) Glyphosate spray drift management with drift-reducing nozzles and adjuvants. Weed Technol 20:893–897 Google Scholar
Knoche, M (1994) Effect of droplet size and carrier volume on performance of foliage-applied herbicides. Crop Prot 13:163–178 Google Scholar
Kudsk, P (2017) Optimising herbicide performance. Pages 149–179 in Hatcher PE, Froud-Williams RJ, eds. Weed Research: Expanding Horizons. Hoboken, NJ: John Wiley & Sons, Ltd.Google Scholar
Lake, JR (1977) The effect of drop size and velocity on the performance of agricultural sprays. Pestic Sci 8:515–520 Google Scholar
Legleiter, TR, Johnson, WG (2016) Herbicide coverage in narrow row soybean as influenced by spray nozzle design and carrier volume. Crop Prot 83:1–8 Google Scholar
Luck, JD, Sharda, A, Pitla, SK, Fulton, JP, Shearer, SA (2011) A case study concerning the effects of controller response and turning movements on application rate uniformity with a self-propelled sprayer. T ASABE 54:423–431 Google Scholar
Mangus, DL, Sharda, A, Engelhardt, A, Flippo, D, Strasser, R, Luck, JD, Griffin, T (2017) Analyzing the nozzle spray fan pattern of an agricultural sprayer using pulse-width modulation technology to generate an on-ground coverage map. T ASABE 60:315–325 Google Scholar
Massinon, M, De Cock, N, Forster, WA, Nairn, JJ, McCue, SW, Zabkiewicz, JA, Lebeau, F (2017) Spray droplet impaction outcomes for different plant species and spray formulations. Crop Prot 99:65–75 Google Scholar
Matthews, G, Bateman, R, Miller, P (2014) Pesticide Application Methods. 4th edn. West Sussex, UK: Wiley-Blackwell. 536 pGoogle Scholar
McKinlay, KS, Ashford, R, Ford, RJ (1974) Effects of drop size, spray volume, and dosage on paraquat toxicity. Weed Sci 22:31–34 Google Scholar
McKinlay, KS, Brandt, SA, Morse, P, Ashford, R (1972) Droplet size and phytotoxicity of herbicides. Weed Sci 20:450–452 Google Scholar
Meyer, CJ, Norsworthy, JK, Kruger, GR, Barber, T (2015) Influence of droplet size on efficacy of the formulated products Engenia™, Roundup PowerMax®, and Liberty®. Weed Technol 29:641–652 Google Scholar
Meyer, CJ, Norsworthy, JK, Kruger, GR, Barber, TL (2016a) Effect of nozzle selection and spray volume on droplet size and efficacy of Engenia tank-mix combinations. Weed Technol 30:377–390 Google Scholar
Meyer, CJ, Norsworthy, JK, Kruger, GR, Barber, TL (2016b) Effects of nozzle selection and ground speed on efficacy of Liberty and Engenia applications and their implication on commercial field applications. Weed Technol 30:401–414 Google Scholar
Nairn, JJ, Forster, WA, van Leeuwen, RM (2013) “Universal” spray droplet adhesion model––accounting for hairy leaves. Weed Res 53:407–417 Google Scholar
Norsworthy, JK, Korres, NE, Bagavathiannan, M V. (2018) Weed seedbank management: Revisiting how herbicides are evaluated. Weed Sci 66:415–417 Google Scholar
Ou, J, Thompson, CR, Stahlman, PW, Bloedow, N, Jugulam, M (2018) Reduced translocation of glyphosate and dicamba in combination contributes to poor control of Kochia scoparia: Evidence of herbicide antagonism. Sci Rep 8:1–11 Google Scholar
Ozkan, HE (1987) Sprayer performance evaluation with microcomputers. Appl Eng Agric 3:36–41 Google Scholar
Prasad, R, Cadogan, BL (1992) Influence of droplet size and density on phytotoxicity of three herbicides. Weed Technol 6:415–423 Google Scholar
Sharda, A, Fulton, JP, McDonald, TP, Brodbeck, CJ (2011) Real-time nozzle flow uniformity when using automatic section control on agricultural sprayers. Comput Electron Agr 79:169–179 Google Scholar
Sharda, A, Luck, JD, Fulton, JP, McDonald, TP, Shearer, SA (2013) Field application uniformity and accuracy of two rate control systems with automatic section capabilities on agricultural sprayers. Precis Agr 14:307–322 Google Scholar
Spillman, JJ (1984) Spray impaction, retention, and adhesion––an introduction to basic characteristics. Pestic Sci 15:97–106 Google Scholar
Tian, L, Reid, J, Hummel, J (1999) Development of a precision sprayer for site-specific weed management. T ASAE 42:893–900 Google Scholar
Vieira, BC, Butts, TR, Rodrigues, AO, Golus, JA, Schroeder, K, Kruger, GR (2018) Spray particle drift mitigation using field corn (Zea mays L.) as a drift barrier. Pest Manag Sci 74:2038–2046 Google Scholar
Westwood, JH, Charudattan, R, Duke, SO, Fennimore, SA, Marrone, P, Slaughter, DC, Swanton, C, Zollinger, R (2018) Weed management in 2050: Perspectives on the future of weed science. Weed Sci 66:275–285 Google Scholar
Wilkerson, GG, Price, AJ, Bennett, AC, Krueger, DW, Roberson, GT, Robinson, BL (2004) Evaluating the potential for site-specific herbicide application in soybean. Weed Technol 18:1101–1110 Google Scholar
Wolf, TM (2002) Optimising herbicide performance––biological consequences of using low-drift nozzles. Int Adv Pestic Appl:79–86 Google Scholar
Womac, AR, Melnichenko, G, Steckel, LE, Montgomery, G, Hayes, RM (2016) Spray tip effect on glufosinate canopy deposits in Palmer amaranth (Amaranthus palmeri) for pulse-width modulation versus air-induction technologies. T ASABE 59:1597–1608 Google Scholar
Womac, AR, Melnichenko, G, Steckel, LE, Montgomery, G, Reeves, J, Hayes, RM (2017) Spray tip configurations with pulse-width modulation for glufosinate-ammonium deposits in Palmer amaranth (Amaranthus palmeri). T ASABE 60:1123–1136 Google Scholar