Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-23T14:34:33.308Z Has data issue: false hasContentIssue false
  • English
  • Français

Walnut Response to Multiple Exposures to Simulated Drift of Bispyribac-Sodium

Published online by Cambridge University Press:  20 July 2018

Mariano F. Galla ,
Kassim Al-Khatib  and
Bradley D. Hanson
Mariano F. Galla
Affiliation:
Graduate Student, Department of Plant Sciences MS4, University of California, One Shields Avenue, Davis, CA, USA
Kassim Al-Khatib*
Affiliation:
Professor and Cooperative Extension Specialist, Department of Plant Sciences MS4, University of California, One Shields Avenue, Davis, CA, USA
Bradley D. Hanson
Affiliation:
Cooperative Extension Specialist, Department of Plant Sciences MS4, University of California, One Shields Avenue, Davis, CA, USA
*
Author for correspondence: Kassim Al-Khatib, Professor, Department of Plant Sciences MS4, University of California, One Shields Avenue, Davis, CA 95616. (E-mail: [email protected])
Get access Rights & Permissions [Opens in a new window]

Abstract

A field study was established to evaluate symptoms, growth, yield, and nut quality of walnut trees subjected to multiple exposures of simulated bispyribac-sodium drift. Nut yield the year following simulated drift treatment was also evaluated because tissue differentiation for future fruiting position occurs in the prior season. Bispyribac-sodium was applied four times, at weekly intervals, at 0.5% and 3% of the use rate in rice (45 g ai ha-1). Injury from the 0.5% rate exceeded 5% after three applications. In general, the severity of the symptoms peaked 14 d after last application (23% and 40% injury for 0.5% and 3% rate, respectively) and subsequently remained nearly constant over the duration of the study. Growth of shoots treated with the 0.5% rate was initially delayed during the treatment regime but recovered after treatments ended; however, walnut shoots exposed to the higher rate had fewer internodes than nontreated trees at the end of the season. No measurable reduction in walnut yield or average nut weight either in the year of exposure or in the subsequent year was observed. However, both rates negatively affected walnut kernel color in the year of exposure.

Keywords

Daniel Stephenson, Louisana State University Agricultural CenterBispyribac-sodiumrice, Oryza sativa L.walnut, Juglans regia L.Crop injuryherbicide drift
Type
Weed Management-Other Crops/Areas
Information
Weed Technology , Volume 32 , Issue 5 , October 2018 , pp. 618 - 622
Copyright
© Weed Science Society of America, 2018 

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.)

References

Abramoff, MD, Magalhaes, PJ, Ram, SJ (2004) Image processing with Image. J Biophotonics Int 11:36–42 Google Scholar
Ali, A, Streibig, JC, Duus, J, Andreasen, C (2013) Use of image analysis to assess color response on plants caused by herbicide application. Weed Technol 27:604–611 Google Scholar
Anonymous (2016) 2014–2015 California Agricultural Statistic Review. Sacramento: California Department of Food and Agriculture. p 126 Google Scholar
Al-Khatib, K (2015) Herbicide Symptoms. http://herbicidesymptoms.ipm.ucanr.edu/. Accessed February 12, 2017Google Scholar
Al-Khatib, K, Peteson, D (1999) Soybean (Glycine max) response to simulated drift from selected sulfonylurea herbicides, dicamba, glyphosate, and glufosinate. Weed Technol 13:264–270 Google Scholar
Al-Khatib, K, Tamhane, A (1999) Dry pea (Pisum sativum L.) response to low rates of selected foliar- and soil- applied sulfonylurea and growth regulator herbicide. Weed Technol, 753–758 Google Scholar
Al-Khatib, K, Parker, R, Fuerst, E (1992) Sweet cherry (Prunus avium) response to simulated drift from selected herbicides. Weed Technol 6:975–979 Google Scholar
Al-Khatib, K, Parker, R, Fuerst, EP (1993) Wine grape (Vitis vinifera L.) response to simulated herbicide drift. Weed Technol 7:97–102 Google Scholar
Bhatti, MA, Felsot, AS, Al‐Khatib, K, Kadir, S, Parker, R (1995) Effects of simulated chlorsulfuron drift on fruit yield and quality of sweet cherries (Prunus avium L.). Environ Toxicol Chem 14:537–544 Google Scholar
Boutin, C, Lee, H, Peart, E, Batchelor, P, Maguire, R (2000) Effects of the sulfonylurea herbicide metsulfuron methyl on growth and reproduction of five wetland and terrestrial plant species. Environ Toxicol Chem 19:2532–2541 Google Scholar
[CalPIP] California Pesticide Information Portal (2016) California Department of Pesticide Regulation. http://calpip.cdpr.ca.gov/main.cfm. Accessed: February 14, 2017Google Scholar
[DFA] Dried Fruit Asscociation of California (2016) Walnut Inspection Manual. Sacramento, CA: Dried Fruit Association of California. 75 pGoogle Scholar
Fischer, AJ, Cheetham, DP, Vidotto, F, De Prado, R (2004) Enhanced effect of thiobencarb on bispyribac-sodium control of Echinochloa phyllopogon (Stapf ) Koss. in California rice (Oryza sativa L.). Weed Biol Manage 4:206–212 Google Scholar
Fischer, AJ, Strong, GL, Shackel, K, Mutters, RG (2010) Temporary drought can selectively suppress Schoenoplectus mucronatus in rice. Aquat Bot 92:257–264 Google Scholar
Fletcher, JS, Pfleeger, TG, Ratsch, HC, Hayes, R (1996) Potential impact of low levels of chlorsulfuron and other herbicides on growth and yield of nontarget plants. Environ Toxicol Chem 15:1189–1196 Google Scholar
Galla, MF (2017) Effect of Simulated Rice Herbicide Drift on English Walnut (Juglans regia) Growth and Development. Ph.D dissertation. Davis, CA: University of California Davis. 72 pGoogle Scholar
Hill, J, Williams, J, Mutters, R, Greer, C (2006) The California rice cropping system: agronomic and natural resource issues for long-term sustainability. Paddy Water Environ 4:13–19 Google Scholar
Hothorn, T, Bretz, F, Westfall, P (2008) Simultaneous inference in general parametric models. Biom J 50:346–363 Google Scholar
Kjaer, C, Strandberg, M, Erlandsen, M (2006) Effects on hawthorn the year after simulated spray drift. Chemosphere 63:853–859 Google Scholar
Kuznetsova, A, Brockhoff, PB, Christensen, RHB (2016) lmerTest: tests in linear mixed effects models. R package version 2:0–33. http://CRAN.R-project.org/package=lmerTest. Accessed: July 1, 2016Google Scholar
Labavitch, JM, Polito, VS (1985) Fruit growth and development. Pages 90–94 in Ramos DE ed, Walnut Production Manual. Oakland, CA: University of California Agriculture and Natural Resources Pub. 3373 Google Scholar
Olson, WH, Coates, WW (1985) Maturation, harvesting, and nut quality. Pages 172–174 in Ramos DE ed, Walnut Production Manual. Oakland, CA: University of California Agriculture and Natural Resources Pub. 3373 Google Scholar
Polito, VS (1985) Flower differentiation and pollination. Pages 81–86 in Ramos DE, ed. Walnut Production Manual. Oakland, CA: University of California Agriculture and Natural Resources Pub. 3373 Google Scholar
Rana, SS, Norsworthy, JK, Scott, RC (2014) Soybean sensitivity to drift rates of imazosulfuron. Weed Technol 28:443–453 Google Scholar
Sabatier, S, Barthélémy, D (2001) Bud structure in relation to shoot morphology and position on the vegetative annual shoots of Juglans regia L. (Juglandaceae). Ann Bot 87:117–123 Google Scholar
Sabatier, S, Barthélémy, D, Ducousso, I (2003) Periods of organogenesis in mono‐and bicyclic annual shoots of Juglans regia L.(Juglandaceae). Ann Bot 92:231–238 Google Scholar
Strand, LL (2003) Integrated Pest Management for Walnuts. Oakland, CA: University of California Agricultural and Natural Resources Pub: 3720. 136 pGoogle Scholar
[USDA] US Department of Agriculture (2005) California Walnut Acreage Report 2005. Washington, DC: US Department of Agriculture. 4 pGoogle Scholar
[USDA] US Department of Agriculture (2016) 2015 California Walnut Acreage Report. Washington, DC: US Department of Agriculture. 4 pGoogle Scholar