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期 刊 ：植物保护学报 2006年

关键词：寒地春油菜；菌核病菌；子囊盘；消长规律；

Keywords:Spring oilseed rape, Sclerotinia sclerotiorum, apothecium, field dynamic changes,

摘 要 ：为明确寒地春油菜菌核病菌子囊盘的田间消长规律,采用棋盘取样法对黑龙江省西北部春油菜种植区进行了调查。结果表明:1997年春油菜菌核病菌田间子囊盘于6月中旬始见,之后其数量出现快速增加,并分别在6月29日、7月8日及7月26日至8月2日间出现3次高峰期。1998年分别在6月24日和7月9日出现2次高峰期。2003年出现3次高峰期,分别在6月30日、7月10日至7月25日间以及8月5日。采用逐步回归和通径分析法研究表明:3天内的平均空气相对湿度和平均降水量以及10天内的平均相对湿度和平均降水量是影响田间子囊盘数量的主要因素。利用气象因子建立了子囊盘数量消长的逐步回归模拟方程和BP神经网络系统模型,得到较好的模拟效果,拟合度分别为0.905和0.944。

Abstract:The study was conducted to investigate the dynamic changes in production of Sclerotinia sclerotiorum apothecium in the field of spring oilseed rape in the northeast part of China. A chessboard-sampling method was used to count the apothecium number in 1 m² of each sampling site in the field. The results showed that the apothecium of the pathogen appears in the middle of June. In 1997, from June to August, there were three peaks of the apothecium occurrence, June 29, July 8 and July 26 to August 2. In 1998, there were two peaks, June 24 and July 9. In 2003, there were three peaks, June 30, July 10 to 25 and August 5. The result of stepwise regression analysis and path analysis showed the relative humility (RH) and the rain precipitation in the three days and the RH and the precipitation in the ten days were the key factors affecting the apothecium number. The 8 factors stepwise regression equation and BP Artificial Neural Network (ANN) model of the disease were established and the predicted results were good with the fitting correlation coefficient 0.905 and 0.944 respectively.

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