Utility of the adjuvant and infection predicting model to reduce the frequency of chemical spray on onion downy mildew
Author:
Affiliation:
1. Saga Agricultural Research Center
2. Kyushu-Okinawa Agricultural Research Center, National Agriculture and Food Research Organization
Publisher
The Association for Plant Protection of Kyushu
Subject
General Engineering,Energy Engineering and Power Technology
Link
https://www.jstage.jst.go.jp/article/kyubyochu/68/0/68_22/_pdf
Reference36 articles.
1. Afifi, M.A. and Zayan, S. A. M. （2009） Development of forecasting system for onion downy mildew in Egypt. J. Product. & Dev. 14: 37－50. DOI:10.21608/jpd.2009.44610
2. Battilani, P., Rossi, V., Racca, P. and Giosue, S.（1996） ONIMIL, a forecaster for primary infection of downy mildew of onion. Bull. OEPP 26: 567-576.
3. Bimsteine1, G., Lepse, L., Bankina, B. （2009） Possibilities of integrated management of onion downy mildew. Sci. Works of the Lithuanian Inst. of Hort. and Lithuanian Univ. of Agr.28:11-17.
4. de Visser, C.L.M. （1998） Development of a Downy Mildew Advisory Model Based on Downcast. Eur. J. Plant Pathol. 104: 933－943. 10.1023/A:1008656122629
5. Gilles, T., Phelps, K., Clarkson, J. P. and Kennedy, R. （2004） Development of MILIONCAST, an improved model for predicting downy mildew sporulation on onions. Plant Dis. 88: 695-702. 10.1094/PDIS.2004.88.7.695.
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