The Development of Plant Growth Regulators of Resistance to Low Temperature Stress in Wheat with the Method of Quadratic Regression Orthogonal Rotary

doi:10.11924/j.issn.1000-6850.2014-2104

Abstract

Abstract: The paper aims to determine the grade index of continuous rain disaster during the filling stage of winter wheat. The study was conducted by using the daily meteorological observation data, continuous rain disaster samples and data during the filling stage of winter wheat in Anhui from 1980 to 2012. The authors selected 3 main disaster causing factors which were the number of rainy day, accumulative rainfall and sunshine hours of rain disaster process. Mathematical statistics method such as the principal component analysis method (PCA), ordered sample optimal segmentation method, etc. were adopted to construct continuous rain disaster comprehensive index (D), and the grade of disaster was determined with the characteristics of damage and yield loss. The results showed that continuous rain disaster during the filling stage of winter wheat could be expressed by the continuous rain disaster comprehensive index (D), and could be divided into 4 levels, which was light, medium, heavy and serious. The classification threshold of corresponding continuous rain comprehensive index (D) was: ＜ 0.2, [0.2, 0.4), [0.4, 0.6), ≥ 0.6. At the same time, the morphological characteristics of each grade of continuous rain disaster were given. Through the verification of typical continuous rainy years, the continuous rain index had higher recognition ability than the single factor index, which could be used as the monitoring and evaluation business index of continuous rain disaster during the filling stage of winter wheat.

Wu Chuanwan,, and . The Development of Plant Growth Regulators of Resistance to Low Temperature Stress in Wheat with the Method of Quadratic Regression Orthogonal Rotary[J]. Chinese Agricultural Science Bulletin, 2015, 31(9): 63-67.

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