Abstract
[Objective] The aim of this study is to establish the model for forecasting wheat stripe rust occurrence condition using meteorological factors.[Method] Based on the data of wheat stripe rust occurrence degrees of previous years and the meteorological data at corresponding periods,the methods of grey correlation analysis and fuzzy mathematics were employed to establish the forecast model for four pathogenesis indices according to the time sequence before winter,early Mar.,early Apr.and middle May.Thus,the criterion for forecasting the occurrence degree of wheat stripe rust was obtained based on the distribution method of arithmetic progression.[Result] The model corresponding to meteorological conditions for forecasting wheat stripe rust was successfully established.According to the verification,the forecasting results before winter and in Early Mar.are more severer than the real occurrence condition,while the forecasting results in Early Apr.and Middle May are basically consistent with real values.[Conclusion] The results of the present study may avail the control of wheat stripe rust in Henan Province.
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Claims 3
Claim · model-written summary
The meteorological forecast model for wheat stripe rust was established.
- Taxon
- wheat
Triticum aestivume0 - Outcome
- forecasting wheat stripe ruste0
Not reportedComparatorValue
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“The model corresponding to meteorological conditions for forecasting wheat stripe rust was successfully established”
Claim · model-written summary
Forecasts before winter and in early March were more severe than actual occurrence.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- forecasting results before winter and in Early Mar.e0
- Direction
- more severere0
- Comparator
- real occurrence conditione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“forecasting results before winter and in Early Mar.are more severer than the real occurrence condition”
t0“Forecast Model for Occurrence Degree of Wheat Stripe Rust Using Meteorological Data”
Claim · model-written summary
Forecasts in early April and middle May were approximately consistent with observed occurrence.
- Taxon
- wheatTriticum aestivumt0
- Outcome
- forecasting results in Early Apr.and Middle Maye0
- Direction
- basically consistente0
- Comparator
- real valuese0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“forecasting results in Early Apr.and Middle May are basically consistent with real values”
t0“Forecast Model for Occurrence Degree of Wheat Stripe Rust Using Meteorological Data”