2007Zhongguo shengtai nongye xuebaoRequires access

Forecast model for prevalent stripe rust in winter wheat in Shanxi Province.

Fan Shao

Open publisher page 5 citations

Abstract

The factors that affect wheat stripe rust in Shanxi Province were analyzed and wheat stripe rust forecast model formulated:Y=-0.2766+0.0249X1+0.0104X2+0.0132X3.The forecast model is a regression analysis of data from 1981 to 2003.It is shown by regression test that the model simulation matches with history records for 87.5% of tested cases.Rainfall from mid April to late May significantly affect stripe rust prevalence.

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What this paper is about

The factors that affect wheat stripe rust in Shanxi Province were analyzed and wheat stripe rust forecast model formulated:Y=-0.2766+0.0249X1+0.0104X2+0.0132X3.The forecast model is a regression analysis of data from 1981 to 2003.It is shown by regression test that the model simulation matches with history records for 87.5% of tested cases.Rainfall from mid April to late May significantly affect stripe rust prevalence.

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Available abstract

The factors that affect wheat stripe rust in Shanxi Province were analyzed and wheat stripe rust forecast model formulated:Y=-0.2766+0.0249X1+0.0104X2+0.0132X3.The forecast model is a regression analysis of data from 1981 to 2003.It is shown by regression test that the model simulation matches with history records for 87.5% of tested cases.Rainfall from mid April to late May significantly affect stripe rust prevalence.

Key concepts: Stripe rust, Winter wheat, Rust (programming language), Regression analysis, Affect (linguistics), Regression, Geography, Statistics

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