植物学报 ›› 2014, Vol. 49 ›› Issue (2): 190-197.DOI: 10.3724/SP.J.1259.2014.00190

• 技术方法 • 上一篇    下一篇

番薯叶片性状关系模型的建立与验证

苗艳明*, 吕金枝, 毕润成   

  1. 山西师范大学生命科学学院, 临汾 041000
  • 收稿日期:2013-06-14 修回日期:2013-12-21 出版日期:2014-03-01 发布日期:2014-01-07
  • 通讯作者: 苗艳明
  • 基金资助:

    濒危植物翅果油树Meta-Population及其形成机理;山西省重点化学优势学科建设项目

Establishment and Validation of the Model of Ipomoea batatas Leaf Traits

Yanming Miao*, Jinzhi Lü, Runcheng Bi   

  1. School of Life Science, Shanxi Normal University, Linfen 041000, China
  • Received:2013-06-14 Revised:2013-12-21 Online:2014-03-01 Published:2014-01-07
  • Contact: Yanming Miao

摘要: 建立植物叶片生长预测模型是林学、生态学和植物学的热点与难点。以番薯(Ipomoea batatas)叶为研究对象, 利用易测的叶长(L)、叶宽(W)和叶绿素含量(S)及其不同的组合作为模型拟合参数, 建立了10个关于叶面积(LA)、叶饱和鲜重(SFW)和叶干重(DW)的预测模型, 选择拟合度最好的3个模型作为LASFWDW的预测模型, 这3个模型分别为: LA=–22.995+5.322W+0.322L2 (R=0.972)、SFW=0.459+0.000 034 1LWS (R=0.964)和DW=–0.064+0.016W+0.000 048 4LS (R=0.955); 并用实测值对模型进行了验证。结果表明, LASFWDW的预测值与实测值均高度一致(R2>0.9, P<0.001), 故可用于对实际未知叶片LASFWDW的预测。该研究可为简化植物性状测定提供参考。

Abstract: The establishment of a leaf growth prediction model in forestry, ecology and botany has been the focus of attention and difficulty. We measured leaf length, leaf width, SPAD (S) value of Ipomoea batatas and used their combination to develop 10 regression models to predict individual leaf area (LA), saturated fresh weight (SFW), and dry weight (DW) of I. batatas. We selected the best-fit model as a predictive model for LA, SFW and DW. Three models were LA=–22.995+5.322W+0.322L2 (R=0.972), SFW=0.459+0.000 034 1LWS (LWS: Leaf length×Leaf width×SPAD)(R= 0.964), and DW=–0.064+0.016W+0.000 048 4LS (LS: Leaf length×SPAD)(R=0.955). We validated the best prediction models with the measured value. The predicted and measured values were highly consistent (R2>0.9, P<0.001). The models could be used to predict LA, SFW and DW of actual unknown leaves. We therefore provide model for simplifying the determination of plant leaf traits.