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烟草赤星病对不同部位烟叶产值量的损失研究 被引量:8

The Damage of Tobacco Spot Disease on Tobacco Output Value of Different Part Leaves
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摘要 在烤烟调制期分下二棚叶、腰叶、上二棚叶及顶叶四个部位,进行赤星病不同危害程度对烟叶产值量的损失研究.结果表明:烤烟受赤星病的危害后,腰叶、项叶各危害级别间产量损失差异不显著;下二棚叶、上二棚叶当危害达3~4级时烟叶产量出现损失;下二棚叶病害级别与产量损失呈显著负相关;上二棚叶、顶叶病害级别与产量损失呈极显著强负相关.当危害程度达0.5级时,各部位烟叶值量开始下降,并随危害加重,值量损失逐渐增大;顶叶病害级别与值量损失呈显著负相关,下二棚叶、腰叶、上二棚叶病害级别与值量损失呈极显著强负相关.各部位烟叶病害级别与中等烟比例呈极显著强负相关,病害级别与下等烟比例呈极显著强正相关. The damage of tobacco spot disease with different dangerous degree were studied on tobacco output value of different part leaves, which included the 4^th-7^th, 8^th-10^th, 11^th-14^th and 15^th-19^th leaves from the bottom up to the terminal of tobacco plants, during flue-cured tobacco modulated time. The result showed that there was no distinct divergence output loss between the 8^th-10^th and 15^th-19^th leaves infected by tobacco spot disease with any dangerous degree, but the output of 4^th-7^th and 11^th-14^th leaves were affected when the damage from tobacco spot disease extended to 3-4 grade. The output loss was remarkable negative correlated to disease grade of the 4^th-7^th leaves, and was extreme remarkable strong negative correlated to that of the 11^th-14^th or 15^th-19^thleaves. With the 0.5 grade damage degree, the output value of all part leaves begin to decline and its loss get more and more increscent with the aggravating damage. There was extremely remarkable negative correlation between the output value loss and the disease grade of 15^th-19^th leaves, however, the output value loss was extreme remarkable strong negative correlated to that of the 4^th-7^th, 8^th-10^th and 11^th-14^th leaves. The disease grade of different tobacco leaves was remarkable strong negative correlated to the proportion of middle grades tobacco leaves and was extremely remarkable strong positive correlated to that of low grades tobacco leaves.
出处 《中国农学通报》 CSCD 2005年第8期355-357,376,共4页 Chinese Agricultural Science Bulletin
基金 云南省烟草公司科技项目(04A25)
关键词 烟草 赤星病 产值量 下二棚叶 腰叶 上二棚叶 项叶 Tobacco spot disease, Part, Output value, Regressive analysis
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