摘要
以商洛紫花丹参为试材,分别以辐热积和有效积温为驱动变量,通过高斯方程建立丹参茎鲜重、叶鲜重和叶面积的生长模型;用2011年和2012年丹参大田数据进行拟合和检验,并用1∶1作图法,拟合残差和根均方差(RMSE)与实测值进行比较;结合高斯函数参数的几何意义和高斯函数一、二阶导数以及拐点,对丹参地上各个性状生长趋势进行分析,旨在开发"丹参的管理决策支持系统",以期为预测和分析丹参性状的生长趋势提供参考。结果表明:2011年数据拟合度都在0.9以上,基于辐热积的丹参以上性状生长模型都比基于有效积温的生长模型的预测精度要高;丹参性状的生长趋势为茎鲜重、叶面积、叶鲜重在累积辐热积分别达到832.0、653.6、671.9MJ/m2,指标达到最大;且在累积辐热积达到538.1、501.2、510.2MJ/m2时,增长速度最快;叶面积、茎鲜重、叶鲜重在累积辐热积达到239.5、264.2、259.8MJ/m2增长都比较缓慢,之后到拐点这段时间,增长速度急剧增加,直到达到最大增长速度,之后增长速度随时间的延长逐渐减慢;丹参茎鲜重、叶鲜重和叶面积的生长曲线和高斯函数高度吻合,且基于辐热积的丹参性状模型具有更好的预测性。
Taking purple flower Salvia miltiorrhizan Bge. of Shangluo as material, the growth models of stem fresh weight,leaf fresh weight and leaf area were established by the Gauss equation, using accumulated product of Thermal Effectiveness and PAR （TEP） and effective accumulative temperature （GOD） as independent variables respectively. The data of 2011 and 2012 were used to fit and validate the models respectively. 1 ： 1 plot, fit residuals and root mean squared error （RMSE） were used to compare simulated valued with observed values. Geometric meaning of the parameters, the first and second derivative and inflection points of Gauss equation were used to analysis the growing trend of ground traits of Salvia rniltiorrhiza. These models were established in order to develop the management decision support system of Salvia miltiorrhiza. The results showed that the determined coefficient （Rz ） of those models were higher than 0. 9, and the accuracy of the prediction of these models based on TEP was higher than those models based on GOD. The growth trend of traits of Salvia miltiorrhiza Bge..the indexes would reach the maximum when the TEP of stem fresh weight, leaf area and leaf fresh weight reached 832. 0,653. 6,671.9 MJ/m2 respectively; the growth rates would be the fastest when the TEP of stem fresh weight,leaf area and leaf fresh weight reached 538. 1,501.2,510. 2 MJ/m2 ;in the TEP of leaf area,stem fresh weight, leaf fresh weight reached 239. 5,264. 2,259. 8 MJ/m2 respectively, the growth rates were slow. Form this time to the TEP reach inflection points, the growth rates increased dramatically till reaching the maximum. Then the growth rates slowed down as time prolonging. Both the growth curves of stem fresh weight, leaf fresh weight and leaf area and Gaussian function were remarkably consistent, and the models base on TEP showed a better predictability than based on CADD.
出处
《北方园艺》
CAS
北大核心
2014年第8期141-146,共6页
Northern Horticulture
基金
科技统筹创新工程计划资助项目(2012KTCL02-07)
国家"十一五"科技支撑计划资助项目(2008BAD98B08)
中央高校基本科研业务费专项资金资助项目(QN2010101)
关键词
丹参
生长性状
辐热积
有效积温
预测模型
生长趋势
Salvia miltiorrhizan Bge.
growth traits
accumulated product of thermal effectiveness and PAR（TEP）
effective accumulative temperature（CA）D）
the prediction model
growth trend
