Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-22T06:52:41.205Z Has data issue: false hasContentIssue false

Interference of annual sowthistle (Sonchus oleraceus) in wheat

Published online by Cambridge University Press:  20 November 2019

Sudheesh Manalil
Affiliation:
Honorary Associate Professor, Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Gatton, Queensland, Australia Adjunct Lecturer, University of Queensland, Gatton, Queensland, Australia School of Agriculture and Environment, University of Western Australia, Perth, Crawley, Australia Professor, Amrita Vishwa Vidyapeetham, Coimbatore, India
Hafiz Haider Ali
Affiliation:
Assistant Professor, Department of Agronomy, College of Agriculture, University of Sargodha, Pakistan
Bhagirath Singh Chauhan
Affiliation:
Associate Professor, Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation (QAAFI), Gatton, Queensland, Australia

Abstract

Annual sowthistle (Sonchus oleraceus L.) is a broadleaf weed that is increasing in prevalence in the northern cropping regions of Australia. Being a member of Asteraceae family, this weed possesses many biological attributes needed to thrive in varying environments and under differing weed management pressures. Interference of this weed in a wheat (Triticum aestivum L.) crop was examined through field studies in 2016 and 2017. Different densities of S. oleraceus were evaluated for their potential to cause yield loss in wheat: 0.0 (weed-free), low (9 to 15 plants m−2), medium (29 to 38 plants m−2), and high (62 to 63 plants m−2). Based on the exponential decay model, 43 and 52 plants m−2 caused a yield reduction of 50% in 2016 and 2017, respectively. Yield components such as panicles per square meter and grains per panicle were affected by weed density. At the high weed infestation level, S. oleraceus produced a maximum of 182,940 and 192,657 seeds m−2 in 2016 and 2017, respectively. Sonchus oleraceus exhibited poor seed retention at harvest, as more than 95% of seeds were blown away by wind. Adverse effects on crop, high seed production, and wind-blown dispersal may lead to an increased prevalence of this weed in the absence of an integrated weed management strategy utilizing both herbicides and nonchemical options.

Type
Research Article
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

Associate Editor: Carlene Chase, University of Florida

References

Adkins, SW, Wills, D, Boersma, M, Walker, SR, Robinson, G, McLeod, RJ, Einam, JP (1997) Weeds resistant to chlorsulfuron and atrazine from the north-east grain region of Australia. Weed Res 37:343349.CrossRefGoogle Scholar
Andersen, MC (1992) An analysis of variability in seed settling velocities of several wind-dispersed Asteraceae. Am J Bot 79:10871091CrossRefGoogle ScholarPubMed
Archontoulis, SV, Miguez, FE (2015) Nonlinear regression models and applications in agricultural research. Agron J 107:786798CrossRefGoogle Scholar
Beckie, HJ, Blackshaw, RE, Harker, KN, Tidemann, BD (2017) Weed seed shatter in spring wheat in Alberta. Can J Plant Sci 98:107114Google Scholar
Boutsalis, P, Powles, SB (1995) Resistance of dicot weeds to acetolactate synthase (ALS)-inhibiting herbicides in Australia. Weed Res 35:149155CrossRefGoogle Scholar
Brant, V, Pivec, J, Zábranský, P, Hakl, J (2012) Water consumption by Asteraceae weeds under field conditions. Weed Biol Manag 12:7183CrossRefGoogle Scholar
Chauhan, BS, Gill, G, Preston, C (2006) Factors affecting seed germination of annual sowthistle (Sonchus oleraceus) in southern Australia. Weed Sci 54:854860Google Scholar
Chauhan, BS, Namuco, OS, Ocampo, LAL, Son, TTN, Thu, TTA, Nam, NN, Phuong, LN, Bajwa, AA (2015) Weedy rice (Oryza sativa f. spontanea) problems and management in wet direct-seeded rice (O. sativa L.) in the Mekong Delta of Vietnam. Crop Prot 78:4047CrossRefGoogle Scholar
Cholette, TB, Soltani, N, Hooker, DC, Robinson, DE, Sikkema, PH (2018) Suppression of glyphosate-resistant Canada fleabane (Conyza canadensis) in corn with cover crops seeded after wheat harvest the previous year. Weed Technol 32:244250CrossRefGoogle Scholar
Cook, T, Davidson, B, Miller, R (2014) A new glyphosate resistant weed species confirmed for northern New South Wales and the world: common sowthistle (Sonchus oleraceus). Pages 206209in Proceedings of the Nineteenth Australasian Weeds Conference. Hobart, Tasmania: Council of Australasian Weed SocietiesGoogle Scholar
Cousens, R (1985) A simple-model relating yield loss to weed density. Ann Appl Biol 107:239252CrossRefGoogle Scholar
Devlaeminck, R, Bossuyt, B, Hermy, M (2005) Seed dispersal from a forest into adjacent cropland. Agr Ecosyst Environ 107:5764CrossRefGoogle Scholar
Gomaa, NH, Hassan, MO, Fahmy, GM, González, L, Hammouda, O, Atteya, AM (2014) Allelopathic effects of Sonchus oleraceus L. on the germination and seedling growth of crop and weed species. Acta Bot Bras 28:408416CrossRefGoogle Scholar
[GRDC] Grains Research Development Corporation (2009) Common Sowthistle and Flaxleaf Fleabane. Understanding the Weeds Lifecycles for Management Strategies That Work. https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2009/09/common-sowthistle-and-flaxleaf-fleabane-understanding-the-weeds-lifecycles-for-management-strategies-that-work. Accessed: December 18, 2018Google Scholar
[GRDC] Grains Research Development Corporation (2018) Growing Regions. https://grdc.com.au/about/our-industry/growing-regions. Accessed: December 18, 2018.Google Scholar
Hassan, MO, Gomaa, NH, Fahmy, GM, González, L, Hammouda, O, Atteya, AM (2014) Interactions between Sonchus oleraceus L. and some weeds in agroecosystems in Egypt. Ann Agr Sci 59:221228CrossRefGoogle Scholar
Lazzaro, M, Costanzo, A, Bàrberi, P (2018) Single vs multiple agroecosystem services provided by common wheat cultivar mixtures: weed suppression, grain yield and quality. Field Crop Res 221:277297CrossRefGoogle Scholar
Manalil, S, Ali, HH, Chauhan, BS (2018) Germination ecology of Sonchus oleraceus L. in the northern region of Australia. Crop Pasture Sci 69:926932CrossRefGoogle Scholar
Manalil, S, Werth, J, Jackson, R, Chauhan, BS, Preston, C (2017) An assessment of weed flora 14 years after the introduction of glyphosate-tolerant cotton in Australia. Crop Pasture Sci 68:773780CrossRefGoogle Scholar
Mwendwa, JM, Brown, WB, Wu, H, Weston, PA, Weidenhamer, JD, Quinn, JC, Weston, LA (2018) The weed suppressive ability of selected Australian grain crops: case studies from the Riverina region in New South Wales. Crop Prot 103:919CrossRefGoogle Scholar
Osten, VA, Walker, SR, Storrie, A, Widderick, M, Moylan, P, Robinson, GR, Galea, K (2007) Survey of weed flora and management relative to cropping practices in the north-eastern grain region of Australia. Aust J Exp Agr 47:5770CrossRefGoogle Scholar
Owen, MDK, Beckie, HJ, Leeson, JY, Norsworthy, JK, Steckel, LE (2015) Integrated pest management and weed management in the United States and Canada. Pest Manag Sci 71:357376CrossRefGoogle ScholarPubMed
Peerzada, AM, O’Donnell, C, Adkins, S (2019) Biology, impact, and management of common sowthistle (Sonchus oleraceus L.). Acta Physiol Plant 41:136CrossRefGoogle Scholar
Preston, C, Wakelin, AM, Dolman, FC, Bostamam, Y, Boutsalis, P (2009) A decade of glyphosate-resistant Lolium around the world: mechanisms, genes, fitness, and agronomic management. Weed Sci 57:435441CrossRefGoogle Scholar
R Development Core Team (2018) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org. Accessed: February 25, 2018Google Scholar
Reiss, A, Fomsgaard, IS, Mathiassen, SK, Kudsk, P (2018) Weed suppressive traits of winter cereals: allelopathy and competition. Biochem Syst Ecol 76:3541CrossRefGoogle Scholar
Riar, DS, Norsworthy, JK, Steckel, LE, Stephenson, DO, Eubank, TW, Bond, J, Scott, RC (2013) Adoption of best management practices for herbicide-resistant weeds in midsouthern United States cotton, rice, and soybean. Weed Technol 27:788797CrossRefGoogle Scholar
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw 12:122CrossRefGoogle Scholar
Song, JS, Kim, JW, Im, JH, Lee, KJ, Lee, BW, Kim, DS (2017) The effects of single-and multiple-weed interference on soybean yield in the far-eastern region of Russia. Weed Sci 65:371380Google Scholar
Walsh, MJ, Broster, JC, Schwartz-Lazaro, LM, Norsworthy, JK, Davis, AS, Tidemann, BD, Beckie, HJ, Lyon, DJ, Soni, N, Neve, P, Bagavathiannan, MV (2018) Opportunities and challenges for harvest weed seed control in global cropping systems. Pest Manag Sci 74:22352245CrossRefGoogle ScholarPubMed
Walsh, MJ, Powles, SB (2014) High seed retention at maturity of annual weeds infesting crop fields highlights the potential for harvest weed seed control. Weed Technol 28:486493CrossRefGoogle Scholar
Werth, J, Boucher, L, Thornby, D, Walker, S, Charles, G (2013) Changes in weed species since the introduction of glyphosate-resistant cotton. Crop Pasture Sci 64:791798CrossRefGoogle Scholar
Werth, J, Thornby, D, Walker, S (2011) Assessing weeds at risk of evolving glyphosate resistance in Australian sub-tropical glyphosate-resistant cotton systems. Crop Pasture Sci 62:10021009CrossRefGoogle Scholar
Widderick, MJ, Walker, SR, Sindel, BM, Bell, KL (2010) Germination, emergence, and persistence of Sonchus oleraceus, a major crop weed in subtropical Australia. Weed Biol Manag 10:102112CrossRefGoogle Scholar