Chuan-qing Zhang

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From 2004 to 2006, 213 isolates of Botrytis cinerea never exposed to QO center inhibitors (QOIs) were collected to determine the baseline sensitivity to azoxystrobin. In the absence of salicylhydroxamic acid (SHAM), the mean EC50 values were 10.49 ± 13.12 and 0.36 ± 0.48 mg l−1 for inhibiting mycelial growth and conidium germination, respectively. In the(More)
Between 2003 and 2005, 337 isolates of Botrytis cinerea collected from greenhouse vegetables were characterized for resistance to fungicides. A low level of chlorothalonil resistance was detected and in these resistant isolates there was cross-resistance to captan and thiram. To the best of our knowledge, this is the first report of chlorothalonil(More)
Two hundred isolates ofBotrytis cinerea were collected from greenhouse vegetables between 2003 and 2006 to determine their baseline sensitivity to triadimefone, penconazole, tebuconazole and fenhexamid. Mean values of 50% effective concentrations (EC50) of inhibiting growth were 4.853±5.102, 0.41±0.215, 0.19±0.099 and 0.36±0.891 mgl −1, respectively(More)
Eleven nitrate non-utilizing (nit) mutants were recovered from six field isolates ofMagnaporthe grisea that had different degrees of sensitivity to the blasticide kitazin P (iprobenfos, IBP). Allnit mutants were resistant to chlorate and there were no significant differences in hyphal growth rate, conidial production, sensitivity to IBP, and pathogenicity(More)
Botrytis cinerea Pers. is a worldwide fungus. It is a severe threat to eggplant. Chemistry methods can do an accurate identification, however they are time-consuming, require execution by professionals and are high cost. The present paper presents the development of a ground based multi-spectral imaging sensor for the grey mold detection. Three channels(More)
Visible and near-infrared reflectance spectroscopy (Vis/NIRS) technique was applied to the detection of disease level of grey mold on tomato leave. Chemometrics was used to build the relationship between the reflectance spectra and disease level. In order to decrease the amount of calculation and improve the accuracy of the model, principal component(More)
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