Abstract
In integrated pest management (IPM), pests are controlled when the costs of control correspond with the damage caused by a pest on a monetary scale, implying that low pest levels are left uncontrolled. Several forecast models have been developed in plant pathology to warn farmers before an epidemic occurs to allow timely control. Most of these models do not predict a control threshold (pest level at which action needs to be taken to prevent economic losses at the farm level) directly making an application in precision agriculture where pesticides and other inputs shall be used precisely where and when they are needed, difficult. Here, we quantified the temporal distance between critical rainfall periods and the breaking of the control threshold of Z. tritici on winter wheat, as affected by temperature based on data from 52 field experiments carried out in Luxembourg between 2005 and 2016. The highest frequency of hours with rain (≥ 0.1 mm/h) was observed approximately at 300 h before epidemic outbreaks at about 13 °C, at 350 h at 11.5 °C and at about 475 h at about 7.5 °C. A Q10 value of 2.8 was estimated. The knowledge generated here will be used to construct a model that directly forecasts the time at which the control threshold will be reached and thus, when fungicide use is needed according to the standards of IPM with direct applicability in precision agriculture.
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References
Beer E (2005) Arbeitsergebnisse aus der Projektgruppe “Krankheiten im Getreide” der Deutschen Phytomedizinischen Gesellschaft e.V. Gesunde Pflanzen 57:59–70. https://doi.org/10.1007/s10343-004-0064-5
Beyer M, Kiesner F, Verreet J-A, Klink H (2011) Fungicide sensitivity of Septoria tritici field isolates is affected by an interaction between fungicidal mode of action and time. J Plant Pathol 93:S1.7-S1.13. https://doi.org/10.4454/jpp.v93i1sup.1213
BSA (2017) Beschreibende Sortenliste Getreide, Mais, Öl- und Faserpflanzen, Leguminosen, Rüben, Zwischenfrüchte. Bundessortenamt. ISSN 21 90–61 30. https://www.bundessortenamt.de/bsa/media/Files/BSL/bsl_getreide_2017.pdf
Calisi RM, Bentley GE (2009) Lab and field experiments: are they the same animal? Horm Behav 56:1–10. https://doi.org/10.1016/j.yhbeh.2009.02.010
Chaloner TM, Fones HN, Varma V, Bebber DP, Gurr SJ (2019) A new mechanistic model of weather-dependent Septoria tritici blotch disease risk. Philos Trans B 374:20180266. https://doi.org/10.1098/rstb.2018.0266
Dam D, Pallez-Barthel M, El Jarroudi M, Eickermann M, Beyer M (2020) The debate on a loss of biodiversity: can we derive evidence from the monitoring of major plant pests and diseases in major crops? J Plant Dis Prot 127:811–819. https://doi.org/10.1007/s41348-020-00351-9
Dubos T, Pasquali M, Pogoda F, Casanova A, Hoffmann L, Beyer M (2013) Differences between the succinate dehydrogenase sequences of isopyrazam sensitive Zymoseptoria tritici and insensitive Fusarium graminearum strains. Pestic Biochem Physiol 105:28–35. https://doi.org/10.1016/j.pestbp.2012.11.004
El Jarroudi M, Delfosse P, Maraite H, Hoffmann L, Tychon B (2009) Assessing the accuracy of simulation model for Septoria leaf blotch disease progress on winter wheat. Plant Dis 93:983–992. https://doi.org/10.1094/PDIS-93-10-0983
El Jarroudi M, Kouadio L, Delfosse P, Tychon B (2014a) Brown rust disease control in winter wheat: I. Exploring an approach for disease progression based on night weather conditions. Environ Sci Pollut Res 21:4797–4808. https://doi.org/10.1007/s11356-013-2463-6
El Jarroudi M, Kouadio L, Giraud F, Delfosse P, Tychon B (2014b) Brown rust disease control in winter wheat: II. Exploring the optimization of fungicide sprays through a decision support system. Environ Sci Pollut Res 21:4809–4818. https://doi.org/10.1007/s11356-014-2557-9
El Jarroudi M, Kouadio L, Beyer M, Hoffmann L, Tychon B, Maraite H, Bock CH, Delfosse P (2015) Economics of a decision-support system for managing the main fungal diseases of winter wheat in the Grand-Duchy of Luxembourg. Field Crop Res 172:32–41. https://doi.org/10.1016/j.fcr.2014.11.012
El Jarroudi M, Kouadio L, Bock CH, El Jarroudi M, Junk J, Pasquali M, Maraite H, Delfosse P (2017) A threshold-based weather model for predicting stripe rust infection in winter wheat. Plant Dis 101:693–703. https://doi.org/10.1094/PDIS-12-16-1766-RE
Fones HN, Gurr S (2015) The impact of Septoria tritici blotch disease on wheat: an EU perspective. Fungal Genet Biol 79:3–7. https://doi.org/10.1016/j.fgb.2015.04.004
Fraaije BA, Lucas JA, Clark WS, Burnett FJ (2003) QoI resistance development in populations of cereal pathogens in the UK. In: The BCPC international congress crop science and technology, Glasgow 2003, pp 689–694
Giroux M-E, Bourgeois G, Dion Y, Rioux S, Pageau D, Zoghlami S, Parent C, Vachon E, Vanasse A (2016) Evaluation of forecasting models of wheat under growing conditions of Quebec, Canada. Plant Dis 100:1192–1201. https://doi.org/10.1094/PDIS-04-15-0404-RE
Gladders P, Paveley N, Barrie I, Hardwick N, Hims M, Langton S, Taylor M (2001) Agronomic and meteorologic factors affecting the severity of leaf blotch caused by Mycosphaerella graminicola in commercial wheat crops in England. Ann Appl Biol 138:301–311. https://doi.org/10.1111/j.1744-7348.2001.tb00115.x
Guo J, Verreet J-A (2008) Formation and germination of Septoria tritici secondary conidia as affected by environmental factors. J Phytopathol 156:635–637. https://doi.org/10.1111/j.1439-0434.2008.01426.x
Henze M, Beyer M, Klink H, Verreet J-A (2007) Characterizing meteorological scenarios favorable for Septoria tritici infections in wheat and estimation of latent periods. Plant Dis 91:1445–1449. https://doi.org/10.1094/PDIS-91-11-1445
Karisto P, Hund A, Yu K, Anderegg J, Walter A, Mascher F, McDonald BA, Mikaberidze A (2018) Ranking quantitative resistance to Septoria tritici blotch in elite wheat cultivars using automated image analysis. Phytopathology 108:568–581. https://doi.org/10.1094/PHYTO-04-17-0163-R
Lalancette N, Ellis MA, Madden LV (1988) Development of an infection efficiency model for Plasmopara viticola on American grape based on temperature and duration of lead wetness. Phytopathology 78:794–800
Magarey RD, Sutton TB, Thayer CL (2005) A simple generic infection model for foliar fungal plant pathogens. Phytopathology 95:92–100. https://doi.org/10.1094/PHYTO-95-0092
Molitor D, Augenstein B, Mugnai L, Rinaldi PA, Sofia J, Hed B, Dubuis P-H, Jermini M, Kührer E, Bleyer G, Hoffmann L, Beyer M (2016) Composition and evaluation of a novel web-based decision support system for grape black rot control. Eur J Plant Pathol 144:785–798. https://doi.org/10.1007/s10658-015-0835-0
Nobel PS (1991) Physicochemical and environmental plant physiology, 1st edn. Academic Press, New York
Shaw MW (1990) Effects of temperature, leaf wetness and cultivar on the latent period of Mycosphaerella graminicola on winter wheat. Plant Pathol 39:255–268. https://doi.org/10.1111/j.1365-3059.1990.tb02501.x
te Beest DE, Shaw MW, Pietravalle F, van den Bosch F (2009) A predictive model for early-warning of Septoria leaf blotch on winter wheat. Eur J Plant Pathol 124:413–425. https://doi.org/10.1007/s10658-009-9428-0
Thomas MR, Cook RJ, King JE (1989) Factors affecting development of Septoria tritici in winter wheat and its effect on yield. Plant Pathol 38:246–257. https://doi.org/10.1111/j.1365-3059.1989.tb02140.x
Walter M, Roy S, Fisher BM, Mackle L, Amponsah NT, Curnow T, Campbell RE, Braun P, Reinecke A, Scheper RWA (2016) How many conidia are required for wound infection of apple plants by Neonectria ditissima? N Z Plant Prot 69:238–245
Xu X-M (1999) Effects of temperature on the latent period of the rose powdery mildew pathogen, Sphaerotheca pannosa. Plant Pathol 48:662–667. https://doi.org/10.1046/j.1365-3059.1999.00385.x
Zadoks JC (1985) On the conceptual basis of crop loss assessment: the threshold theory. Annu Rev Phytopathol 23:455–473. https://doi.org/10.1146/annurev.py.23.090185.002323
Zhao J, Xu C, Xu J, Huang L, Zhang D, Liang D (2017) Forecasting the wheat powdery mildew (Blumeria graminis f. sp. tritici) using a remote sensing-based decision-tree classification at a provincial scale. Australas Plant Pathol 47:53–61. https://doi.org/10.1007/s13313-017-0527-7
Acknowledgements
We thank Rufat Aslanov, Tiphaine Dubos, Frédéric Giraud, Mélanie Gollier, Friderike Pogoda, Louis Kouadio, Christophe Mackels, Jasmin Mahboubi, Abdeslam Mahtour, Benedek Marozsák, Bertrand Martin, Aura Montemayor, Michel Noel, Matias Pasquali, Farid Traoré, Virginie Schyns and Carine Vrancken for excellent technical assistance, Lindsey Auguin for language editing and the Luxembourg Administration des Services Techniques de l’Agriculture for its financial support of the Sentinelle project.
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Beyer, M., Pallez-Barthel, M., Dam, D. et al. Enhancing septoria leaf blotch forecasts in winter wheat I: the effect of temperature on the temporal distance between critical rainfall periods and the breaking of the control threshold. J Plant Dis Prot 129, 37–44 (2022). https://doi.org/10.1007/s41348-021-00553-9
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DOI: https://doi.org/10.1007/s41348-021-00553-9