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Effects of Meteorological Factors on Soybean Sclerotinia sclerotiorum in Sanjiang Plain and Related Prediction Model Establishment(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2013年05期
Page:
680-682
Research Field:
Publishing date:

Info

Title:
Effects of Meteorological Factors on Soybean Sclerotinia sclerotiorum in Sanjiang Plain and Related Prediction Model Establishment
Author(s):
?GU Xin
?(Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences/Scientific Observing and Experimental Station of Crop Pests of Jiamusi,Ministry of Agriculture,Jiamusi 154007,China)
Keywords:
Soybean Sclerotinia sclerotiorumMeteorological factorPath analysisRegression equation
PACS:
-
DOI:
10.11861/j.issn.1000-9841.2013.05.0680
Abstract:
?In order to predict the development of soybean Sclerotinia sclerotiorum accurately and timely,the occurrence of sclerotia at fixed point in Sanjiang Plain from 2004 to 2012 was surveyed,and the relations between the incidence of sclerotia stem rot and 6 meteorological factors at soybean flowering as well as the apothecium number was studied by stepwise regression and path analysis.And the stepwise regression prediction model of soybean sclerotia stem rot was established.Results showed the precipitation,average temperature and apothecium number in July had vital impact on the incidence of soybean sclerotia.The prediction model could forecast the occurrence of sclerotia for about 20 days in advance,and the forecasting incidence was basically consistent with the actual results in 2012.

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Last Update: 2013-11-13