白术叶片形态及叶面积估算模型

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中图分类号：S567.23 文献标识码：A文章编号：0439-8114（2025）11-0127-06）OI：10.14088/j.cnki.issn0439-8114.2025.11.016开放科学（资源服务）标识码（OSID）：

Leaf morphology and leaf area estimation model for Atractylodesmacrocephala

WANG Hua，ZHOUWu-xian，JIANGXiao-gang，LIU Hai-hua，YOUJin-wen （InstituteofChineseHerbalMedicines，HubeiAcademyofAgriculturalSciences/KeyLaboratoryofBologyandCultivationofChieseHerb Medicine，MinistryofAgricultureandRuralAffairs，Enshi445OOO，Hubei，China）

Abstract：Totablishnaccurateapid，andnondestructiveafreaestimationmodelforAtractylodesmacrocephala，thell tric growth method was used to determine the leaf area coefficient （ K ）of different leaf shapes of undivided leaves of Atractylodes macrocephala.Linear regression analysis was conducted to analyze the observed leaf area（ OLA ）andpredicted leaf area（ PLA ）of undivided leavesand pinnately compound leaves，so as to verify the applicability and accuracy of K .The results showed that the K values of six typesofundividedleaves（ovate，broadlyeliptical，eliptical，blongovate，oblanceolate，ndlongeliptical）were0.681，0.646， 0.631，0.616，0.619，and O.616，respectively.There was no significant difference between the average K of all leaves and the K valuesofellpticalblanceolate，blongovate，andlongelipticalleaves，oitwasdeterinedasteuiversallafareaotf Atractylodes macrocephala （O.625）.Linear regression analysis of OLA and PLA for the six types of undivided leaves showed that PLA （20 washighlyfitedwihOLAforachleafshpe，andallorelationsracednextreelysignicantlevelLinearregressionaalysisof pinnately compound leaves showed that there was also an extremely significant correlation between OLA and PLA （ R2 =0.952），and the differencebetween the two conformedto a normal distribution，indicating that K =0.625wasalsoapplicabletotheleafareaestimation of pinnatelyompoundleaves.FinalytheleafareacoeficientofAtractylodes macrocephalasdterinedtobe.625，andthee tablished estimation model was PLA=0.625×L×W（ R2 =0.989） （ L ： leaf length， W ： leaf width）.

KeyWords：AtractyldesmacrocepalaKoidz.;leaf morphology;leafareacoeicient；allometricgrowthmethod；estimatiomodel

叶片是高等植物进行光合作用和蒸腾作用的主要器官，叶片发育状况及叶面积大小直接影响植物的光合作用、蒸腾作用、呼吸作用、矿物质营养等过程[1-4]。（剩余8226字）