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中国农学通报

中国农学通报 ›› 2015, Vol. 31 ›› Issue (9): 63-67.doi: 10.11924/j.issn.1000-6850.2014-2104

所属专题： 小麦

• 农学 农业基础科学 • 上一篇    下一篇

应用二次回归正交旋转组合法进行小麦抗低温胁迫复配植物生长调节剂研发

王连臻,杜小凤,吴传万,王伟中,文廷刚,蔡敏明   

  1. 淮阴工学院,江苏徐淮地区淮阴农业科学研究所,淮安市农科院,江苏徐淮地区淮阴农科所,淮安市农业科学研究院,淮阴工学院
  • 收稿日期:2014-08-01 修回日期:2014-08-01 接受日期:2014-09-09 出版日期:2015-04-07 发布日期:2015-04-07
  • 通讯作者: 王连臻
  • 基金资助:
    淮安市N科技支撑计划（农业）(SN12039)。

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

Wu Chuanwan,, and   

  • Received:2014-08-01 Revised:2014-08-01 Accepted:2014-09-09 Online:2015-04-07 Published:2015-04-07

摘要： 为了缓解小麦苗期遭受低温胁迫造成的生长和生理伤害。通过二次回归正交旋转组合法，以‘淮麦30’为试验材料，小麦叶片中MDA含量为判断指标，研发水杨酸，硅酸钾，甜菜碱3种药剂不同浓度的组合作为复配植物生长调节剂。结果显示：二次回归正交旋转组合法设计的模型的优化数学方程为：Y=3.94254+0.52740X1+0.46793X3+0.40134X12+0.65125X1X2。通过对二次回归方程的方差分析得出小麦抗低温胁迫的最适配方浓度为：硅酸钾浓度1841 mg/L，水杨酸浓度50 mg/L，甜菜碱浓度468.2 mg/L。

关键词: 制度利润, 制度利润, 农地产权制度多样性, 农地产权制度演进

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.