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Tropical Plant Pathology

, Volume 44, Issue 2, pp 205–208 | Cite as

Sensitivity of field isolates of Botryotinia ricini to fluazinam and thiophanate-methyl

  • Caroline de Oliveira Datovo
  • Dartanha J. SoaresEmail author
Short Communication

Abstract

This study aimed to determine the sensitivity of 61 Botryotinia ricini isolates to the fungicides fluazinam and thiophanate-methyl. The isolates were originated from Goiás (n = 3), Maranhão (n = 3), Mato Grosso (n = 12), Minas Gerais (n = 1), Paraíba (n = 8), Rio Grande do Sul (n = 19) and São Paulo (n = 15) states. Mycelial discs (6 mm) removed from 5-day-old colonies were transferred to Petri dishes containing potato dextrose agar (PDA) amended with different concentrations of the fungicides. Two perpendicular measurements of the radial growth were taken and used to calculate the percentage of mycelial growth inhibition (PMGI) for each treatment (isolate × fungicide × concentration) in relation to the control. PMGI were used to obtain the effective concentration that inhibits 50 and 95% of the mycelial growth (EC50 and EC95) by means of linear regression. For fluazinam, the EC50 and EC95 (mean ± SD) were 0.1738 ± 0.0802 μg/mL and 0.7938 ± 0.1254 μg/mL, while for thiophanate-methyl, the EC50 and EC95 were 0.3487 ± 0.0963 μg/mL and 1.1325 ± 0.2063 μg/mL, respectively. Both fungicides have high intrinsic toxicity to B. ricini but fluazinam was a more potent growth inhibitor compared to thiophanate-methyl.

Keywords

Castor gray mold Chemical control Fungicide sensitivity 

Notes

Acknowledgements

The first author thanks CNPq for her fellowship grant. The senior author would like to thanks the CNPq (Proc. 472953/2009-5) and Petrobras (TC 0050.0064181.10.9) by research grants on castor diseases.

References

  1. Anjani K, Raof MA, Prasad MSL, Duraimurugan P, Lucose C, Yadav P, Prasad RD, Jawahar Lal J, Sarada C (2018) Trait-specific accessions in global castor (Ricinus communis L.) germplasm core set for utilization in castor improvement. Industrial Crops and Products 112:766–774CrossRefGoogle Scholar
  2. ATCC (2011) Preservation and recovery of filamentous fungi. Technical Bulletin N°2. 4 p. Available at: https://www.atcc.org/~/media/PDFs/Technical%20Bulletins/tb02.ashx
  3. Brent KJ (1995) Fungicide resistance in crop pathogens: how can it be managed? Global Crop Protection Federation. FRAC, Monograph N° 1. BrusselsGoogle Scholar
  4. Chagas HA, Basseto MA, Rosa DD, Toppa EVB, Furtado EL, Zanotto MD (2014) Avaliação de fungicidas, óleos essenciais e agentes biológicos no controle de Amphobotrys ricini em mamoneira (Ricinus communis L.). Summa Phytopathologica 40:42–48CrossRefGoogle Scholar
  5. De Waard MA, Georgopoulos SG, Hollomon DW, Ishii H, Leroux P, Ragsdale NN, Schwinn FJ (1993) Chemical control of plant diseases: problems and prospects. Annual Review of Phytopathology 31:403–421CrossRefGoogle Scholar
  6. Grindle M (1981) Variations among field isolates of Botrytis cinerea in their sensitivity to antifungal compounds. Pesticide Science 12:305–312CrossRefGoogle Scholar
  7. Hahn M (2014) The rising threat of fungicide resistance in plant pathogenic fungi: Botrytis as a case study. Journal of Chemical Biology 7:133–141CrossRefGoogle Scholar
  8. Hilber UW, Schuepp H (1996) A reliable method for testing the sensitivity of Botryotinia fuckeliana to anilinopyrimidines in vitro. Pesticide Science 47:241–247CrossRefGoogle Scholar
  9. Le S, Josse J, Husson F (2008) FactoMineR: an R package for multivariate analysis. Journal of Statistical Software 25:1–18CrossRefGoogle Scholar
  10. Leroux P (2007) Chemical control of Botrytis and its resistance to chemical fungicides. In: Elad Y, Williamson B, Tudzynski P, Delen N (eds) Botrytis: biology, pathology and control. Springer, Dordrecht, pp 195–222CrossRefGoogle Scholar
  11. Liang HJ, Li JL, Di YL, Zhang AS, Zhu FX (2015) Logarithmic transformation is essential for statistical analysis of fungicide EC50 values. Journal of Phytopathology 163:456–464CrossRefGoogle Scholar
  12. Liu S, Fu L, Hai F, Jiang J, Che Z, Tian Y, Chen G (2018) Sensitivity to boscalid in field isolates of Sclerotinia sclerotiorum from rapeseed in Henan Province, China. Journal of Phytopathology 166:227–232CrossRefGoogle Scholar
  13. Northover J, Matteoni JA (1986) Resistance of Botrytis cinerea to benomyl and iprodione in vineyards and greenhouses after exposure to the fungicides alone or mixed with Captan. Plant Disease 70:398–402CrossRefGoogle Scholar
  14. R Core Team (2016). R: a language and environment for statistical computing. R foundation for statistical computing, Vienna, Austria. URL http://www.R-project.org/
  15. Severino LS, Auld DL, Baldanzi M, Cândido MJD, Chen G, Crosby W, He X, Lakshmamma P, Lavanya C, Machado OTL, Milani M, Mielke T, Miller TD, Morris JB, Navas AA, Soares DJ, Sofiatti V, Tan D, Wang ML, Zanotto MD, Zieler H (2012) A review on the challenges for increased production of castor. Agronomy Journal 104:853–880CrossRefGoogle Scholar
  16. Shao W, Ren W, Zhang Y, Hou Y, Duan Y, Wang JX, Zhou M, Chen C (2015) Baseline sensitivity of natural population and characterization of resistant strains of Botrytis cinerea to fluazinam. Australasian Plant Pathology 44:375–383CrossRefGoogle Scholar
  17. Soares DJ (2012) Gray mold of castor: a review. In: Cumagun CJR (ed) Plant pathology. InTech Publishing, Rijeka, pp 219–240Google Scholar
  18. Wickham H (2009) ggplot2: elegant graphics for data analysis. Springer, New YorkCrossRefGoogle Scholar

Copyright information

© Sociedade Brasileira de Fitopatologia 2018

Authors and Affiliations

  1. 1.Pontificia Universidade Católica-CampinasCampinasBrazil
  2. 2.Embrapa AlgodãoCampina GrandeBrazil

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