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杨树黑斑病测报模型的研究 被引量:1

Forecast model of poplar black spot caused by Marssonina brunnea
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摘要 在北京郊区黑杨林地内设置固定样地,进行杨树黑斑病Marssonina brunnea病原菌孢子捕捉和病情调查。运用数量化理论I系统分析了病情指数与气象因子之间的关系,结果表明:当平均气温20~28℃、平均相对湿度80%以上、降雨量为60 mm以上时,杨树黑斑病的病情发展迅速。同时建立了杨树黑斑病的数量化测报模型:^yi=-5.236 1x(1,1)+7.388 4x(1,2)-3.045 7x(1,3)-6.231 5x(2,1)-4.540 9x(2,2)+6.261 8x(2,3)+20.496 3x(2,4)+1.146 6x(3,1)+3.613 4x(3,2)+7.025 7x(3,3)+19.680 2x(3,4)。对测报模型检验的预测精度在88.49%~96.43%之间。 The spore trap and investigation of poplar black spot disease was conducted in the" fixed sam- piing plots in the Populus simonii x P. nigra nursery in Beijing and the relationship between the disease index and the meteorological factors was analyzed with quantitative theory I. The result showed when the mean temperature was 20-28℃, the mean relative humidity wa above 80% and the rainfall was above 60 mm,poplar black spot disease would occur seriously. The quantitative theory forecast model [y,= -5.2361x(1,1) +7.3884x(1,2) -3.0457x(1,3) -6.2315x(2,1) -4.5409x(2,2) + 6. 2618X (2,3) + 20. 4963x (2,4) + 1.1466x ( 3,1 ) + 3.6134x ( 3,2 ) + 7. 0257x ( 3,3 ) + 19. 6802x ( 3, 4) ] was established to predict the occurrence of this disease. The reliability of the forecast model was 88.49% -96. 43%.
出处 《中国森林病虫》 北大核心 2012年第1期5-8,共4页 Forest Pest and Disease
关键词 杨树黑斑病 病情指数 测报模型 poplar black spot disease index forecast model
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