摘要
１９８６～１９９６年在石家庄河北棉花所黄、枯萎病混生病圃，对中棉所１２每年８月２０～２５日进行黄萎病调查，并与当地６～８月每旬的平均气温、降水量、日照时数和空气相对湿度等与发生黄萎病关系进行单项和综合分析。结果表明，７月份气温２７℃是发病轻重的转折点，７月中下旬的气温是影响黄萎病发病强度的主要因素，可分为高温、低湿、少雨轻病年和低温、高湿、多雨重病年，两者出现频率接近５０％。经过对黄萎病指（Ｙ）与所有因子逐步回归分析，入选因子为７月中旬湿度（Ｘ５）、６月下旬降水量（Ｘ１２）、７月中旬降水量（Ｘ１４）、７月下旬日照时数（Ｘ２４）和６月下旬平均气温（Ｘ３０），得出回归方程可试用于黄萎病发病的预测预报。
The correlation between cotton Verticillium wilt and meteorological factors were analyzed from 1986-1996. The index of cotton Verticillium wilt in mid-south of Hebei province were investigated in 20￣25 Aug. in each year and the analyses were given with the average of air temperature, the air humidity, and the sunshine and precipitation each ten days of a month (Jun￣Aug). The results showed that the air temperature of second and last ten days were the determination for the index of cotton Verticillium wilt; the higher temperature, less precipitation and lower humidity were for the lower index; and the lower temperature, more precipitation and higher humidity were for the higher index. A formulation were obtained by regression under (α=0.05), Y=-33 0243+2 7208x 5+0 6245 x 12 -0 3094x 14 -0 6586 x 24 -4 0268 x 30 (X 5:humidity of the second ten days in July;x 12 : Precipitation of the last ten days in June; x 14 : Precipitation of the second ten days in July; x 24 : Sunshine of the last ten days in July; x 30 : Temperature of the last ten days in June).
出处
《棉花学报》
CSCD
北大核心
1998年第5期263-267,共5页
Cotton Science
关键词
棉花
黄萎病
气象因子
相关分析
cotton Verticillium wilt meteorological factors correlation analysis
