|Table of Contents|

Simulation of Growth Traits of Salvia miltiorrhizan Bge. Based on Accumulated Product of Thermal Effectiveness and PAR(PDF)

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2014年08期
Page:
141-146
Research Field:
Publishing date:

Info

Title:
Simulation of Growth Traits of Salvia miltiorrhizan Bge. Based on Accumulated Product of Thermal Effectiveness and PAR
Author(s):
CHEN Ya-nan1; LIANG Zong-suo2; GUO Man-cai1; RU Mei2; LIU Yan3; LIU Feng-hua3
1.College of Sciences，Northwest Agricultural and Forestry University，Yangling,Shannxi 712100；
2.College of Life Sciences，Northwest Agricultural and Forestry University，Yangling，Shannxi 712100；
3.Tianjin Tasly Modern TCM Resources Co.Ltd,Tianjin 300000
Keywords:
Salvia miltiorrhizan Bge.; growth traits; accumulated product of thermal effectiveness and PAR(TEP); effective accumulative temperature(GOD); the prediction model; growth trend
PACS:
R 972
DOI:
-
Abstract:
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 miltiorrhiza.These models were established in order to develop the management decision support system of Salvia miltiorrhiza.The results showed that the determined coefficient (R2) 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 GOD.

References:

[1]李君,贺学礼.中药材丹参研究进展[J].河北林果研究,2009（1）：88-91.

[2]谭美,王四清.观赏植物生长模拟模型研究进展[J].园艺学报,2010(9)：1523-1530.

[3]徐国彬,罗卫红,陈发棣,等.温度和辐射对一品红发育及主要品质指标的影响[J].园艺学报,2006（1）：168-171.

[4]Carvalho S M P，Heuvelink E，van Kooten O.Effect of light intensity，plant density and flower bud removal on the flower size and number incut chrysanthemum[J].Acta Horticulturae，2002，593：33-38.

[5]Larsen R U，Hiden C.Predicting leaf unfolding in flower induced shoots of greenhouse grow chrysanthemum[J].Scientia Horticulturae，1995，63：225-239.

[6]Lee J H，Goudriaan J，Challa H.Using the expolinear growth equation for modelling crop growth in year-round cut chrysanthemum[J].Annals of Botany，2003，92(5)：697-708.

[7]杨再强，罗卫红，陈发棣，等.温室标准切花菊叶面积预测模型研究[J].中国农业科学，2007b，40(11)：2569-2574.

[8]李倩.环境因子对丹参生长及活性成分累积的影响规律研究[D].杨凌：西北农林科技大学,2006.

[9]郭银巧，赵传德，朱艳，等.棉花地上部形态建成的光温模型[J].作物学报，2009，35(11):2102-2108.

[10]李青林,毛罕平,李萍萍.黄瓜地上部分形态-光温响应模拟模型[J].农业工程学报,2011(9)：122-127.

[11]李永秀,罗卫红,倪纪恒,等.温室黄瓜干物质分配与产量预测模拟模型初步研究[J].农业工程学报，2006(2):116-121.

[12]马万征,毛罕平,倪纪恒.不同果实负载下温室黄瓜干物质分配的模拟[J].农业工程学报,2010(10)：259-263.

[13]倪纪恒,陈学好,陈春宏,等.用辐热积法模拟温室黄瓜果实生长[J].农业工程学报,2009(5)：192-196.

[14]李永秀,罗卫红,倪纪恒,等.用辐热积法模拟温室黄瓜叶面积、光合速率与干物质产量[J].农业工程学报,2005(12)：131-136.

[15]李立昆,李玉红,程智慧,等.基于有效积温早春设施厚皮甜瓜果实发育模拟模型[J].北方园艺,2010(6)：97-10.

[16]张小咏,刘耕年,李永化,等.高斯函数参量法及其在山区降水计算中的应用[J].地理研究,2008(3)：594-602.

[17]曹卫星,罗卫红.作物系统模拟及智能管理[M].北京：高等教育出版社，2003.

[18]黄淑华,徐福利,王渭玲,等.丹参壮苗指数及其模拟模型[J].应用生态学报,2012(10)：2779-2785.


Memo

Memo:
-
Last Update: 2014-08-12