白木通4份种质叶片形态差异及叶面积反演模型研究  

Leaf Morphological Difference and Retrieval Model of Leaf Area for Akebia trifoliata var.australis

作　　者：许易梅 刘红昌[1,2] 徐松 陈伟 宋章平 XU Yi-mei;LIU Hong-chang;XU Song;CHEN Wei;SONG Zhang-ping(College of Agriculture,Guizhou University,Guiyang Guizhou 550025,P.R.China;Guizhou Key Laboratory of Medicinal Plant Breeding and Planting,Guiyang Guizhou 550025,P.R.China;Guizhou Sandui Agricultural Labor Service Co.,Ltd.,Guiyang Guizhou 550309,P.R.China)

机构地区：[1]贵州大学农学院,贵州贵阳550025 [2]贵州省药用植物繁育与种植重点实验室,贵州贵阳550025 [3]贵州省三滴水农业劳务服务有限责任公司,贵州贵阳550309

出　　处：《西部林业科学》2022年第4期116-124,133,共10页Journal of West China Forestry Science

基　　金：贵州省自然科学基金“基于CRISPR/Cas9系统靶向敲除三叶木通果实开裂相关基因的研究”(黔科合基础[2019]1061号)。

摘　　要：白木通具三小叶的特殊复叶结构为叶面积的测量增加了工作难度。为研究4份白木通种质叶形特征,构建白木通的最优叶面积预估模型,以快速、便捷、准确地测定白木通叶面积。以木通科木通属植物白木通作为研究对象进行叶片形态分析和叶面积模型反演及验证,采集4份种质(含36个个体)的360张复叶,测量小叶的叶柄长、叶长、叶宽、叶面积、叶形指数及复叶的叶柄长,进行差异分析,比较各种质的叶形差异;基于决定系数(R^(2))、均方根误差(RMSE)、RE(相对误差)筛选建模叶形指标和模型类别,分别建立小叶和复叶叶面积的综合反演模型并进行验证。结果显示:4份白木通种质间各小叶叶形指标存在显著差异;以小叶LL×LW为自变量构建的反演模型:y=-0.0018 x^(2)+0.7021 x+0.0922对4份种质的小叶叶面积预估能力较好,R^(2)、RMSE和RE分别为0.955、1.006 cm^(2)和8.208%;以顶叶LL×LW为自变量构建的反演模型:y=1.5739 x+0.597对4份种质的复叶叶面积预估能力较好,R^(2)、RMSE和RE分别为0.935、4.295 cm^(2)和11.779%。研究结果可为白木通种质叶面积的测定提供一种低成本、简单、快捷、准确的方法。The special compound leaf structure of Akebia trifoliata(Thunb.)Koidz.var.australis(Diels)Rehd.with 3 leaflets increases the work intensity for the measurement of leaf area.The study aims to study the leaf morphology characteristics of 4 germplasms Akebia trifoliata(Thunb.)Koidz.var.australis(Diels)Rehd.,and construct the optimal leaf area estimation model for them,which can quickly,conveniently and accurately estimate the leaf area of them.In this study,the leaf morphology analysis and leaf area inversion model and verification were carried out 4 germplasm,including 36 individuals,360 compound leaves were collected.The leaf length,leaf width,leaf area,petiole length and leaf shape index of each leaflets and the petiole length of each compound leaf were measured.The differences of each index were analyzed,the leaf morphological differences of each germplasm were compared.Based on determination coefficient(R 2),root mean square error(RMSE),relative error(RE)to screen leaf shape indexes and model categories of modeling,and establish and verify the comprehensive inversion model of leaflet and compound leaf area respectively.The results show that there are significant differences in the leaf shape indexes between the 4 germplasms.The inversion model constructed with LL×LW of leaflet as the independent variable:y=-0.0018 x^(2)+0.7021x+0.0922 has a good ability to predict the leaf area of leaflet.And its R^(2),RMSE and RE are 0.955,1.006 cm^(2) and 8.208%,respectively.The inversion model constructed by LL×LW of top leaflet as the independent variable:y=1.5739x+0.597 has a good ability to predict compound leaf area.And its R^(2),RMSE and RE are 0.935,4.295 cm^(2) and 11.779%,respectively.This study provides a low cost,simple,fast and accurate method for the leaf area determination of Akebia trifoliata(Thunb.)Koidz.var.australis(Diels)Rehd..

关 键 词：白木通 叶形特征 叶面积模型 

分 类 号：S718.4[农业科学—林学]