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Publication Type:
| Report |
Author(s): | Li, Hai-xia;
Qin, Geng |
Author Affiliation: | Li: Shijingshan Gardening Bureau of Beijing City; Qin: Beijing Branch Company of Lantai Company, Beijing, China |
Title: | Test of two prediction models for brown patch disease of turfgrass |
Source: | [Caoyuan yu Caoping] [Grassland and Turf]. Vol. 5, 2009, p. Unknown. |
Publishing Information: | Lanzhou, China: Zhongguo cao yuan xue hui |
# of Pages: | 0 |
Related Web URL: | http://en.cnki.com.cn/Article_en/CJFDTOTAL-CYCP200905002.htm Last checked: 07/11/2016 Notes: Abstract only |
Keywords: | TIC Keywords: Agrostis stolonifera; Disease control; Disease forecasting; Disease incidence; Meteorological factors; Rhizoctonia blight
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Abstract/Contents: | "Two models (F96 and S94) for predicting the brown patch disease of creeping bentgrass were tested by using the meteorological data from July to August in 2005 and 2006 in Beijing and the results indicated that 1) For S94, the false alarm ratio was 0.05, the probability of detection was 0.83, the critical success index was 0.8, the accuracy rating of brown patch duration was 91%. 2) For F96, the false alarm ratio was 0.05, the probability of detection was 0.83,the critical success index was 0.8, the accuracy rating of brown patch duration was 64%. Two prediction models showed satisfying potential and could be used in Beijing." |
Language: | English |
References: | Unknown |
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete): Li, H.-x., and G. Qin. 2009. Test of two prediction models for brown patch disease of turfgrass. [Caoyuan yu Caoping] [Grassland and Turf]. 5:p. Unknown. |
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