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应用生态学报 ›› 2012, Vol. 23 ›› Issue (10): 2779-2785.

• 研究报告 • 上一篇    下一篇

丹参壮苗指数及其模拟模型

黄淑华1,徐福利2,王渭玲1**,杜俊波1,汝梅1,王静1,曹鲜艳1   

  1. (1西北农林科技大学生命科学学院, 陕西杨凌 712100; 2西北农林科技大学/中国科学院/水利部水土保持研究所, 陕西杨凌 712100)
  • 出版日期:2012-10-18 发布日期:2012-10-18

Seedling index of Salvia miltiorrhiza and its simulation model.

HUANG Shu-hua1, XU Fu-li2, WANG Wei-ling1, DU Jun-bo1, RU Mei1, WANG Jing1, CAO Xian-yan1   

  1. (1College of Life Sciences, Northwest A & F University, Yangling 712100, Shaanxi, China; 2Institute of Soil and Water Conservation, Chinese Academy of Sciences/ Ministry of Water Resource/ Northwest A & F University, Yangling 712100, Shaanxi, China)
  • Online:2012-10-18 Published:2012-10-18

摘要: 通过对丹参幼苗各数量性状及比值与幼苗质量的相关性分析,确定有代表性的可以反映幼苗质量的数量性状指标,同时结合关联度分析确定适于丹参幼苗的壮苗指数,并依据丹参壮苗指数与气温、光辐射和空气湿度的关系,建立了基于环境影响因子积的丹参幼苗壮苗指数模拟模型,再利用不同播期和试验地试验资料对模型进行检验.结果表明: 根粗、茎粗、地上部干质量、根干质量和全株干质量等数量性状与其他性状相关性显著,而且性状稳定,容易测量,可以作为衡量壮苗的指标性状.丹参幼苗的壮苗指数=(茎粗/根粗+根干质量/地上部干质量)×全株干质量.其中,全株干质量、根干质量、地上部干质量和茎粗与壮苗指数的关联度较大,该壮苗指数可以较好地反映丹参幼苗质量.壮苗指数模型对丹参壮苗指数的预测值与实测值之间基于1∶1直线的R2=0.95,RMSE=0.15,模型能较为准确地反映实际壮苗指数与环境因子之间的定量关系.  

Abstract: Through the correlation analysis on the quantitative traits and their ratios of Salvia miltiorrhiza seedlings  and  seedling quality, a series of representative indices reflecting the seedling quality of the plant species were determined, and the seedling index suitable to the S. miltiorrhiza seedlings was ascertained by correlation  degree analysis. Meanwhile, based on the relationships between the seedling index and the air temperature, solar radiation and air humidity, a simulation model for the seedling index of S. miltiorrhiza was established. The experimental data of different test plots and planting dates were used to validate the model. The results showed that the root diameter, stem diameter, crown dry mass, root dry mass, and plant dry mass had significant positive relationships with the other traits, and could be used as the indicators of the seedling’s health. The seedling index of S. miltiorrhiza could be calculated by (stem diameter/root diameter + root dry mass/crown dry mass) × plant dry mass. The stem diameter, root dry mass, crown dry mass and plant dry mass had higher correlations  with the seedling index, and thus, the seedling index determined by these indicators could better reflect the seedling’s quality. The coefficient of determination (R2) between the predicted and measured values based on 1:1 line was 0.95, and the root mean squared error (RMSE) was 0.15, indicating that the model established in this study could precisely reflect the quantitative relationships between the seedling index of S. miltiorrhiza and the environmental factors.