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珠三角桃树摘叶期和气象因子对桃花应节盛花的影响

杜尧东1;丘振中2;王广伦3;黄光民3   

  1. 1广东省气候与农业气象中心, 广州 510080;2广东省佛山市南海区气象局, 佛山 528200;3广东省农业气象试验站,佛山 528200
  • 收稿日期:2005-03-24 修回日期:2005-05-16 出版日期:2006-01-12 发布日期:2006-01-12

Effects of leaf-picking date and meteorological factors on peach-blossom ’s full flowering in Spring Festival in Pear River Delta

DU Yaodong1;QIU Zhenzhong2;WANG Guanglun3;HUANG Guangmin3    

  1. 1Climatic and Agrometeorological Center of Guangdong Province,Guangzhou 510080, China;2Nanhai Meteorological Office of Fushan City,Fushan 528200,China;3Agrometeorological Experimental Station of Guangdong Province,Fushan 528200, China

  • Received:2005-03-24 Revised:2005-05-16 Online:2006-01-12 Published:2006-01-12

摘要: 根据不同摘叶期、桃花盛花期观测资料和同期气象资料,研究了摘叶和气象因子对桃花应节盛花的影响。结果表明,摘叶期和盛花期的关系以分段线性方程拟合效果最佳,12月12日以前,线性方程的斜率为0.7594,12月12日以后,线性方程近似水平。11月中旬至盛花期平均气温、花前50 d总日照时数是桃花盛花期出现迟早的关键气象因子。它们与摘叶期至盛花期天数的相关系数分别为-0.62和-0.45,经检验,差异达到显著水平。在此基础上,利用多元线性回归分析,建立了桃花适宜摘叶期预测模型。样本回代检验79.2%的样本误差在2 d以内,2004年试报效果也较好。

关键词: 大豆, 蚕豆, 根系, 形态参数, 空间分布

Abstract: Based on the data of the dates of picking off leaves and full flowering phase of peach-blossom and related meteorological conditions in Pear River Delta,this paper studied the effects of leafpicking off date and meteorological factors on peach-blossom’s full flowering in Spring Festival.The results showed that sectional simulation on the relationship between leafpicking off date and full flowering phase could obtain optimal fitting results,which presented linear equation of slope 0.7594 and approximately horizontal line,when the date of picking off leaves was before and after 12 December,respectively.The key meteorological factors affecting the initiatory time of full flowering were the average temperature during the mid-ten days of November to full flowering date,and the total sunlight hours of fifty days before full flowering phase.Their correlation coefficients with the days from picking off leaves to full flowering phase were -0.62 and -0.45,respectively (P<0.05).A forecasting model of suitable leaf-picking off date was established by multivariate linear regression method.The sample fitting verification of the model indicated that the errors of 79.2% samples were less than two days,and the result of test prediction in 2004 was also good.

Key words: Soybean, Faba bean, Root system, Configuration parameter, Spatial distribution