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Seed Germination and Seedling Emergence of Blackgrass (Alopecurus myosuroides) as Affected by Non–Target-Site Herbicide Resistance

Published online by Cambridge University Press:  17 August 2017

Eshagh Keshtkar ,
Solvejg K. Mathiassen ,
Roland Beffa  and
Per Kudsk
Eshagh Keshtkar*
Affiliation:
Graduate Student, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Forsøgsvej 1, DK-4200 Slagelse, Denmark
Solvejg K. Mathiassen
Affiliation:
Graduate Student, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Forsøgsvej 1, DK-4200 Slagelse, Denmark
Roland Beffa
Affiliation:
Team Leader, Bayer A, Division CropScience, Weed Control, Weed Resistance Research, Frankfurt, Germany
Per Kudsk
Affiliation:
Graduate Student, Senior Scientist, and Professor, Department of Agroecology, Aarhus University, Forsøgsvej 1, DK-4200 Slagelse, Denmark
*
*Corresponding author’s E-mail: keshtkar@modares.ac.ir
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Abstract

Seedling emergence traits of susceptible (S) and resistant (R) blackgrass subpopulations isolated from a single non–target-site resistant (NTSR) population were studied in controlled conditions. The seedling emergence of the R subpopulation was lower and slower than that of the S subpopulation, especially at low temperature and deep burial. The burial depth inhibiting final emergence by 50% for the R subpopulation was significantly lower than that of the S subpopulation at low temperature. The present study revealed that under suboptimal conditions the NTSR loci conferring herbicide resistance were correlated with a fitness cost in relation to seedling emergence traits. The results suggest that deep soil cultivation and delayed sowing of autumn-sown crops can hamper germination of the R more than of the S subpopulation and thus potentially reduce the prevalence of the R subpopulation in the blackgrass population.

Keywords

BlackgrassAlopecurus myosuroides Huds. ALOMY.Final seed germinationfinal seedling emergencefitness penaltyNTSR.
Type
Weed Biology and Ecology
Information
Weed Science , Volume 65 , Issue 6 , November 2017 , pp. 732 - 742
Copyright
© Weed Science Society of America, 2017 

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Footnotes

a

Current address of first author: Assistant Professor, Department of Agronomy, Tarbiat Modares University, P.O. Box 14115-111, 1497713111 Tehran, Iran

Associate Editor for this paper: Christopher Preston, University of Adelaide.

References

Literature Cited

Ashigh, J, Tardif, FJ (2009) An amino acid substitution at position 205 of acetohydroxyacid synthase reduces fitness under optimal light in resistant populations of Solanum ptychanthum . Weed Res 49:479–489 Google Scholar
Bates, D, Maechler, M, Bolker, B, Walker, S (2014) lme4: Linear mixed-effects models using Eigen and S4. R Package v. 1.1-7. http://CRAN.R-project.org/package=lme4. Accessed June 7, 2017Google Scholar
Beffa, R, Figge, A, Lorentz, L, Hess, M, Laber, B, Ruiz-Santaella, JP, Strek, H (2012) Weed resistance diagnostic technologies to detect herbicide resistance in cereal growing areas. A review. Julius-Kühn-Archiv 434:75–80 Google Scholar
Bello, IA, Hatterman-Valenti, H, Owen, MDK (2017) Factors affecting germination and seed production of Eriochloa villosa . Weed Sci 48:749–754 Google Scholar
Benvenuti, S, MacChia, M, Miele, S (2001) Quantitative analysis of emergence of seedlings from buried weed seeds with increasing soil depth. Weed Sci 49:528–535 CrossRefGoogle Scholar
Brazier, M, Cole, DJ, Edwards, R (2002) O-glucosyltransferase activities toward phenolic natural products and xenobiotics in wheat and herbicide-resistant and herbicide-susceptible black-grass (Alopecurus myosuroides). Phytochemistry 59:149–156 Google Scholar
Carroll, RJ, Ruppert, D (1988) Transformation and Weighting in Regression. New York: Chapman and Hall. 264 pCrossRefGoogle Scholar
Chauvel, B, Munier-Jolain, NM, Grandgirard, D, Gueritaine, G (2002) Effect of vernalization on the development and growth of Alopecurus myosuroides . Weed Res 42:166–175 CrossRefGoogle Scholar
Collavo, A, Strek, H, Beffa, R, Sattin, M (2013) Management of an ACCase-inhibitor-resistant Lolium rigidum population based on the use of ALS inhibitors: weed population evolution observed over a 7 year field-scale investigation. Pest Manag Sci 69:200–208 Google Scholar
Délye, C (2005) Weed resistance to acetyl coenzyme a carboxylase inhibitors: an update. Weed Sci 53:728–746 Google Scholar
Délye, C, Gardin, JAC, Boucansaud, K, Chauvel, B, Petit, C (2011) Non–target-site-based resistance should be the centre of attention for herbicide resistance research: Alopecurus myosuroides as an illustration. Weed Res 51:433–437 Google Scholar
Délye, C, Jasieniuk, M, Le Corre, V (2013a) Deciphering the evolution of herbicide resistance in weeds. Trends Genet 29:649–658 Google Scholar
Délye, C, Menchari, Y, Guillemin, JP, MatÉJicek, A, Michel, S, Camilleri, C, Chauvel, B (2007) Status of black grass (Alopecurus myosuroides) resistance to acetyl-coenzyme A carboxylase inhibitors in France. Weed Res 47:95–105 Google Scholar
Délye, C, Menchari, Y, Michel, S, Cadet, E, Le Corre, V (2013b) A new insight into arable weed adaptive evolution: mutations endowing herbicide resistance also affect germination dynamics and seedling emergence. Ann Bot 111:681–691 Google Scholar
Gundel, PE, Martínez-Ghersa, MA, Ghersa, CM (2008) Dormancy, germination and ageing of Lolium multiflorum seeds following contrasting herbicide selection regimes. Eur J Agron 28:606–613 Google Scholar
Heap, I (2016) The International Survey of Herbicide Resistant Weeds. www.weedscience.org. Accessed: June 7, 2016Google Scholar
Holt, JS (1990) Fitness and ecological adaptability of herbicide-resistant biotypes. Pages 419–429 in Green MB, LeBaron HM & Moberg WK eds., Managing Resistance to Agrochemicals: From Fundamental Research to Practical Strategies. Washington, DC: American Chemical Society Google Scholar
Hothorn, T, Bretz, F, Westfall, P (2008) Simultaneous inference in general parametric models. Biom J 50:346–363 Google Scholar
Keshtkar, E (2015) Ecological Fitness, Molecular Basis and Selection of Resistant Black-Grass (Alopecurus myosuroides) Biotypes. Ph.D dissertation. Aarhus, Denmark: Aarhus University. 149 pGoogle Scholar
Keshtkar, E, Kordbacheh, F, Mesgaran, MB, Mashhadi, HR, Alizadeh, HM (2009) Effects of the sowing depth and temperature on the seedling emergence and early growth of wild barley (Hordeum spontaneum) and wheat. Weed Biol Manag 9:10–19 Google Scholar
Keshtkar, E, Mathiassen, SK, Moss, SR, Kudsk, P (2015) Resistance profile of herbicide-resistant Alopecurus myosuroides (black-grass) populations in Denmark. Crop Prot 69:83–89 Google Scholar
Lehnhoff, EA, Keith, BK, Dyer, WE, Menalled, FD (2013a) Impact of biotic and abiotic stresses on the competitive ability of multiple herbicide resistant wild oat (Avena fatua). PLoS ONE 8:e64478 Google Scholar
Lehnhoff, EA, Keith, BK, Dyer, WE, Peterson, RK, Menalled, F (2013b) Multiple herbicide resistance in wild oat and impacts on physiology, germinability, and seed production. Agron J 105:854–862 Google Scholar
Lutman, PJW, Moss, SR, Cook, S, Welham, SJ (2013) A review of the effects of crop agronomy on the management of Alopecurus myosuroides . Weed Res 53:299–313 Google Scholar
Menchari, Y, Chauvel, B, Darmency, H, Délye, C (2008) Fitness costs associated with three mutant acetyl-coenzyme A carboxylase alleles endowing herbicide resistance in black-grass Alopecurus myosuroides . J Appl Ecol 45:939–947 Google Scholar
Mennan, H, Streibig, JC, Ngouajio, M, Kaya, E (2012) Tolerance of two Bifora radians Bieb populations to ALS inhibitors in winter wheat. Pest Manag Sci 68:116–122 Google Scholar
Owen, MJ, Michael, PJ, Renton, M, Steadman, KJ, Powles, SB (2011) Toward large-scale prediction of Lolium rigidum emergence. II. Correlation between dormancy and herbicide resistance levels suggests an impact of cropping systems. Weed Res 51:133–141 Google Scholar
Park, KW, Mallory-Smith, CA, Ball, DA, Mueller-Warrant, GW (2004) Ecological fitness of acetolactate synthase inhibitor–resistant and –susceptible downy brome (Bromus tectorum) biotypes. Weed Sci 52:768–773 Google Scholar
Pedersen, BP, Neve, P, Andreasen, C, Powles, SB (2007) Ecological fitness of a glyphosate-resistant Lolium rigidum population: growth and seed production along a competition gradient. Basic Appl Ecol 8:258–268 Google Scholar
Petersen, J, Dresbach-Runkel, M, Wagner, J (2010) A method to determine the pollen-mediated spread of target-site resistance to acetyl-coenzyme A carboxylase inhibitors in black grass (Alopecurus myosuroides Huds.). J Plant Dis Prot 117:122–128 Google Scholar
Powles, SB, Yu, Q (2010) Evolution in action: plants resistant to herbicides. Ann Rev Plant Biol 61:317–347 Google Scholar
R Core, Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/ Google Scholar
Ritz, C, Baty, F, Streibig, JC, Gerhard, D (2016) Dose-response analysis using R. PLoS ONE 10:e0146021 Google Scholar
Ritz, C, Kniss, AR, Streibig, JC (2015) Research methods in weed science: statistics. Weed Sci 63:166–187 Google Scholar
Ritz, C, Pipper, CB, Streibig, JC (2013) Analysis of germination data from agricultural experiments. Eur J Agron 45:1–6 Google Scholar
Ritz, C, Streibig, JC (2005) Bioassay analysis using R. J Stat Softw 12:1–22 Google Scholar
Streibig, JC, Rudemo, M, Jensen, JE (1993) Dose-response curves and statistical models. Pages 25–55 in Streibig JC & Kudsk P, eds. Herbicide Bioassays. Boca Raton, FL: CRC Google Scholar
Tranel, PJ, Wright, TR, Heap, IM (2015). Mutations in Herbicide-Resistant Weeds to ALS Inhibitors. http://www.weedscience.com. Accessed: January 5, 2015Google Scholar
Vila-Aiub, MM, Neve, P, Powles, SB (2005a) Resistance cost of a cytochrome P450 herbicide metabolism mechanism but not an ACCase target site mutation in a multiple resistant Lolium rigidum population. New Phytol 167:787–796 Google Scholar
Vila-Aiub, MM, Neve, P, Powles, SB (2009) Fitness costs associated with evolved herbicide resistance alleles in plants. New Phytol 184:751–767 Google Scholar
Vila-Aiub, MM, Neve, P, Roux, F (2011) A unified approach to the estimation and interpretation of resistance costs in plants. Heredity 107:386–394 Google Scholar
Vila-Aiub, MM, Neve, P, Steadman, KJ, Powles, SB (2005b) Ecological fitness of a multiple herbicide-resistant Lolium rigidum population: dynamics of seed germination and seedling emergence of resistant and susceptible phenotypes. J Appl Ecol 42:288–298 Google Scholar
Vizantinopoulos, S, Katranis, N (1998) Management of blackgrass (Alopecurus myosuroides) in winter wheat in Greece. Weed Technol 12:484–490 Google Scholar
Wang, T, Picard, JC, Tian, X, Darmency, H (2010) A herbicide-resistant ACCase 1781 Setaria mutant shows higher fitness than wild type. Heredity 105:394–400 Google Scholar
Yuan, JS, Tranel, PJ, Stewart, CN Jr (2007) Non–target-site herbicide resistance: a family business. Trends Plant Sci 12:6–13 Google Scholar
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