白术叶片形态及叶面积估算模型

doi:10.14088/j.cnki.issn0439-8114.2025.11.016

湖北农业科学 ›› 2025, Vol. 64 ›› Issue (11): 127-132.doi: 10.14088/j.cnki.issn0439-8114.2025.11.016

白术叶片形态及叶面积估算模型

王华, 周武先, 蒋小刚, 刘海华, 由金文

湖北省农业科学院中药材研究所/农业农村部中药材生物学与栽培重点实验室,湖北恩施 445000

收稿日期:2025-06-24 出版日期:2025-11-25 发布日期:2025-12-05
作者简介:王华(1979-),女,山东泰安人,助理研究员,硕士,主要从事药用植物育种等工作,(电子信箱)wh791120@163.com。
基金资助:
现代农业产业技术体系专项(CARS-21)

Leaf morphology and leaf area estimation model for Atractylodes macrocephala

WANG Hua, ZHOU Wu-xian, JIANG Xiao-gang, LIU Hai-hua, YOU Jin-wen

Institute of Chinese Herbal Medicines, Hubei Academy of Agricultural Sciences/ Key Laboratory of Biology and Cultivation of Chinese Herb Medicine, Ministry of Agriculture and Rural Affairs, Enshi 445000, Hubei, China

Received:2025-06-24 Published:2025-11-25 Online:2025-12-05

摘要/Abstract

摘要： 为建立准确、快速、无损的白术(Atractylodes macrocephala Koidz.)叶面积估算模型,采用异速生长法测定白术不裂叶不同叶形的叶面积系数(K),并通过线性拟合分析不裂叶及羽状全裂叶的实测叶面积(OLA)与估算叶面积(PLA),验证K的适用性与准确性。结果表明,卵形、宽椭圆形、椭圆形、倒长卵形、倒披针形和长椭圆形6种不裂叶的K分别为0.681、0.646、0.631、0.616、0.619、0.616;全部叶片的平均K与椭圆形叶、倒披针形叶、倒长卵形叶、长椭圆形叶的K无显著差异,故将其确定为白术的通用叶面积系数(0.625)。对6种不裂叶的OLA与PLA进行线性拟合,发现各叶形PLA与OLA高度拟合,且相关性均达到极显著水平;对羽状全裂叶的拟合分析表明,OLA与PLA之间亦呈极显著相关(R²=0.952),且两者差值符合正态分布,说明K=0.625同样适用于羽状全裂叶叶面积估算。最终确定白术叶面积系数为0.625,构建估算模型为PLA=0.625×L×W(R²=0.989)(L为叶片长,W为叶片宽)。

关键词: 白术(Atractylodes macrocephala Koidz.), 叶片形态, 叶面积系数, 异速生长法, 估算模型

Abstract: To establish an accurate, rapid, and non-destructive leaf area estimation model for Atractylodes macrocephala, the allometric 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) and predicted leaf area (PLA) of undivided leaves and pinnately compound leaves, so as to verify the applicability and accuracy of K. The results showed that the K values of six types of undivided leaves (ovate, broadly elliptical, elliptical, oblong-ovate, oblanceolate, and long elliptical) were 0.681, 0.646, 0.631, 0.616, 0.619, and 0.616, respectively. There was no significant difference between the average K of all leaves and the K values of elliptical, oblanceolate, oblong-ovate, and long elliptical leaves, so it was determined as the universal leaf area coefficient of Atractylodes macrocephala (0.625). Linear regression analysis of OLA and PLA for the six types of undivided leaves showed that PLA was highly fitted with OLA for each leaf shape, and all correlations reached an extremely significant level. Linear regression analysis of pinnately compound leaves showed that there was also an extremely significant correlation between OLA and PLA (R²=0.952), and the difference between the two conformed to a normal distribution, indicating that K=0.625 was also applicable to the leaf area estimation of pinnately compound leaves. Finally, the leaf area coefficient of Atractylodes macrocephala was determined to be 0.625, and the established estimation model was PLA=0.625×L×W (R²=0.989) (L: leaf length, W: leaf width).

Key words: Atractylodes macrocephala Koidz., leaf morphology, leaf area coefficient, allometric growth method, estimation model

中图分类号:

S567.23

王华, 周武先, 蒋小刚, 刘海华, 由金文. 白术叶片形态及叶面积估算模型[J]. 湖北农业科学, 2025, 64(11): 127-132.

WANG Hua, ZHOU Wu-xian, JIANG Xiao-gang, LIU Hai-hua, YOU Jin-wen. Leaf morphology and leaf area estimation model for Atractylodes macrocephala[J]. HUBEI AGRICULTURAL SCIENCES, 2025, 64(11): 127-132.

参考文献

[1] 谭大海,李富恒.结球甘蓝和花椰菜幼苗叶面积系数的建立[J].中国蔬菜,2010(6):43-46.
[2] 李治中,谢菲,刘小梅,等.2种常用叶面积测量方法准确性的比较研究[J].中国农学通报,2013,29(19):193-197.
[3] TÉLLEZ O F,MUÑOZ E M,GARCÍA A T,et al. Estimation of the foliar area by non-destructive methods in two stages of growth of pepper plants (Capsicum annuum L.) hybrid Salvador[J].American journal of plant sciences,2018,9(3):325-338.
[4] 巫娟,李思卓,刘上,等.基于叶形分类的5种竹子叶面积预测模型研究[J].生物灾害科学,2023,46(1):72-79.
[5] 应冬勤,徐森富.萝卜叶面积测定方法研究[J].中国农学通报,2005,21(1):249-251.
[6] 郝雅洁,张吴平,史维杰,等.基于计算机视觉的小麦叶面积测量[J].湖北农业科学,2019,58(16):129-132.
[7] KHAN D S D,ZKKI M J,MURTAZA S. Leaf area estimation in Jojoba (Simmondsia chinensis (Link.) C. E. Schneider) seedlings[J].International journal of biology and biotechnology,2015,12(4):667-674.
[8] 吴千华,孟祥丽,刘一鸣,等.植物叶面积测定方法探讨[J].热带林业,2018,46(2):37-39.
[9] 赵纳祺,陈晓娜,徐光甫,等.14种园林绿化植物的叶面积测量及经验模型构建[J].温带林业研究,2024,7(1):9-14.
[10] 王颖,杨重法,奚浩然,等.厚皮甜瓜叶面积测定方法的研究[J].中国瓜菜,2016,29(5):25-28.
[11] 王露露,张有福,陈一博,等.塔柏刺形叶特征与叶面积估算模型[J].林业科学,2023,59(5):81-87.
[12] 吕丹瑜,金子晶,陆璐,等.基于图像处理技术的茶树新梢识别和叶面积计算的探索研究[J].茶叶科学,2023,43(5):691-702.
[13] 崔潇,张妞,陈春艳,等.圆柏鳞形叶特征与叶面积估算模型[J].生态学报,2025,45(14):6912-6922.
[14] 张萌,张德安,鲁晓燕,等.枣树叶面积估算模型构建[J].果树学报,2020,37(12):1964-1973.
[15] 任四妹,张文琪,欧鉴基,等.两种紫薇属植物叶片形态及面积估算模型[J].北方园艺,2022(21):74-81.
[16] 陶洪斌,林杉.打孔称重法与复印称重法和长宽校正法测定水稻叶面积的方法比较[J].植物生理学通讯,2006,42(3):496-498.
[17] 郁进元,何岩,赵忠福,等.长宽法测定作物叶面积的校正系数研究[J].江苏农业科学,2007,35(2):37-39.
[18] 周开兵,陈志霞.人心果叶片面积测定方法[J].实验科学与技术,2008,6(1):43-44,82.
[19] 万信,李巧珍,方德彪,等.一种马铃薯叶面积校正系数的确定方法[J].资源科学,2012,34(8):1533-1537.
[20] 李雁鸣.高粱(Sorghum bicolor(L.) Moench.)叶面积校正值(K值)的初步研究[J].河北农业大学学报,1993,16(3): 31-36.
[21] 刘贯山. 烟草叶面积不同测定方法的比较研究[J].安徽农业科学,1996,24(2):139-141.
[22] 范巧佳,吴卫,袁继超.薏苡叶片的生长与叶面积的研究[J].四川农业大学学报,1997,15(2):211-217,262.
[23] 周丽燕,黄影华,张善炫,等.不同氮肥调控对水稻分蘖数和叶面积指数的影响[J].湖北农业科学,2020,59(7):33-37.
[24] 胡家峰,郭远,李梦,等.大豆不同叶形叶面积校正系数的研究[J].北京农学院学报,2012,27(1):9-11.
[25] 郑凤君,华南金秋,张立猛,等.长宽法测定幼苗期烟草叶面积的校正系数[J].中国烟草科学,2015,36(6):13-16.
[26] 彭华胜,王德群.白术道地药材的形成与变迁[J].中国中药杂志,2004,29(12):1133-1135.
[27] 周武先,熊琳珂,罗孝荣,等.不同配比基质对白术幼苗生长及生理特性的影响[J].北方园艺,2021(18):111-118.
[28] 周武先,李大荣,龚丝雨,等.外源锌对白术种子萌发及幼苗生长的影响[J].北方园艺,2022(3):98-106.
[29] 刘逸慧,陈斌龙,周晓龙,等.药用植物白术栽培群体的遗传多样性研究[J].中国中药杂志,2008,33(23):2756-2760.
[30] 周太炎. 中国植物志-第33卷[M].北京:科学出版社,1987.28-29.
[31] BLAND J M,ALTMAN D G.Statistical methods for assessing agreement between two methods of clinical measurement[J].Lancet,1986,1(8476):307-310.
[32] PEKSEN E.Non-destructive leaf area estimation model for faba bean (Vicia faba L.)[J].Scientia horticulturae, 2007,113(4):322-328.
[33] 郑小东,王晓洁,高洁.面向植物分类的被子植物叶形特征自动提取[J].中国农学通报,2011,27(15):149-153.
[34] 孙启高,宋书银,王宇飞,等.介绍双子叶植物叶结构分类术语[J].植物分类学报,1997,35(3):275-288.

白术叶片形态及叶面积估算模型

Leaf morphology and leaf area estimation model for Atractylodes macrocephala

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	周武先, 李大荣, 周亮, 王华, 由金文, 张美德, 刘海华. 咸丰白术种子生物学特性研究[J]. 湖北农业科学, 2022, 61(23): 105-110.
[2]	李红英, 陈菲菲, 殷红清, 覃大吉, 孙举志, 杨永康, 向极钎, 李亚杰. 白术腋芽离体快繁技术初探[J]. 湖北农业科学, 2021, 60(21): 73-75.
[3]	徐菲菲, 熊世为, 荀静, 华俊玮, 贾天山. 基于多要素的油菜产量构成估算模型研究[J]. 湖北农业科学, 2021, 60(18): 29-35.
[4]	闫倩, 徐立帅, 段永红. 20种常用绿化树种滞尘能力研究[J]. 湖北农业科学, 2021, 60(18): 101-105.
[5]	罗宇, 罗林艳, 范嘉智, 段思汝, 高文娟. 基于深度LSTM神经网络的大气可降水量估算模型[J]. 湖北农业科学, 2020, 59(2): 161-165.
[6]	涂雯, 安琪, 何永刚, 刘少佳, 蔡海亚, 章志宏. 水稻低节位早发分蘖与秧苗叶片形态、碳氮代谢的关系[J]. 湖北农业科学, 2019, 58(21): 22-29.