Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2017, Vol. 33 ›› Issue (13): 133-140.doi: 10.11924/j.issn.1000-6850.casb16060032

Special Issue: 园艺

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Epidemic Regularity and Two Prediction Models of Plasmopara viticola in Yanqing of Beijing

Xu Dandan, Han Tingyu, Liang Yanyan, Jin Meng, Wang Qi, Gao Lingwang   

  1. (College of Plant Protection, China Agricultural University, Beijing 100193)
  • Received:2016-06-07 Revised:2017-04-24 Accepted:2016-09-01 Online:2017-05-16 Published:2017-05-16

Abstract: In order to clarify the epidemic regularity of grape downy mildew disease on different grape cultivars in Yanqing of Beijing and search the suitable model for predicting downy mildew disease in Yanqing, an investigation of downy mildew disease on different grape cultivars was carried out during 2013-2015 and shortterm prediction model and empirical disease model were tested basing on the monitoring data. Research results showed that: 3 grape cultivars, based on their disease indexes, showed different resistance to downy mildew, ‘Muscat Hamburg’appeared the highest disease index of 76.58, whereas‘Jingya’and‘Venus Seedless’ showed disease index of 62.47 and 54.81, respectively. Downy mildew disease would be serious if there was a lot of precipitation and the average temperature is relatively low during early and middle July. Empirical disease model simulated 82.35% cases on‘Venus Seedless’, which preceded the accuracy on‘Muscat Hamburg’and‘Jingya’, therefore, empirical prediction model could be used as a powerful tool for predicting grape downy mildew disease on‘Venus Seedless’in Yanqing and improving the management of grapevine protection. However, short-term prediction model had lower prediction accuracy and was not appropriate for predicting downy mildew disease in Yanqing.

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