[1]胡珍珠,王广龙,张迪,等.叶肉结构对不同树龄核桃叶片氮磷钾含量光谱反演精度的响应[J].江苏农业科学,2024,52(15):239-246.
　Hu Zhenzhu,et al.Response of mesophyll structure to spectral inversion accuracy of nitrogen，phosphorus and potassium content in walnut leaves with different tree ages[J].Jiangsu Agricultural Sciences,2024,52(15):239-246.
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叶肉结构对不同树龄核桃叶片氮磷钾含量光谱反演精度的响应()

《江苏农业科学》[ISSN:1002-1302/CN:32-1214/S]

卷:
第52卷
期数:
2024年第15期
页码:
239-246
栏目:
农业工程与信息技术
出版日期:
2024-08-05

文章信息/Info

Title:
Response of mesophyll structure to spectral inversion accuracy of nitrogen，phosphorus and potassium content in walnut leaves with different tree ages
作者:
胡珍珠1; 王广龙1; 张迪2; 陈辉1; 裴宝磊1
1.淮阴工学院生命科学与食品工程学院，江苏淮安 223003； 2.淮阴工学院图书馆，江苏淮安 223003
Author(s):
Hu Zhenzhu; et al
关键词:
核桃; 光谱特征参量; 光谱反演模型; 反演精度; 叶肉结构
Keywords:
-
分类号:
S664.101；S127
DOI:
-
文献标志码:
A
摘要:
为探究不同树龄核桃叶片、氮(N)、磷(P)、钾(K)光谱特征参量稳定性的响应机理，利用光谱仪测定不同树龄核桃叶片光谱反射率，运用电镜对叶片表面微形态和超微结构进行观察，探寻核桃叶肉结构和N、P、K光谱特征参量稳定性的内在响应。结果表明：2～6年树龄核桃叶片N、P、K光谱特征参量均不相同，但8～12年树龄核桃叶片N元素光谱特征参量均为Rg、RNIR/Red，P元素光谱特征参量均为λy，K元素光谱特征参量均为Dy、RNIR/Green、SDr/SDy、Rg/Ro、SDb、(Rg-Ro)/(Rg+Ro)。(2)利用稳定光谱特征参量构建的8～12 年树龄核桃叶片N、P、K含量光谱反演模型具有较高精度，其拟合度(r2)为0.763 2～0.973 6，均方根误差为0.512 8～1.011 9 g/kg，相对误差绝对值为0368 7%～4.948 1%，且均通过置信椭圆F检验。(3)核桃叶片表面腺毛分泌的结晶体随树龄增加而减少，经分析结晶体成分为碳(C)、氧(O)、钠(Na)、镁(Mg)、硅(Si)、K、钙(Ca)等多种元素。(4)叶片靠近上表皮的第1层栅栏组织随着树龄增加排列逐渐增密，8～12年树龄的排列最为紧密，几乎无间隙。8年以下树龄核桃叶片厚度、上表皮厚度、下表皮厚度、栅栏组织厚度、海绵组织厚度均随树龄增加而增厚，而8年以上树龄的叶肉结构则随树龄变化基本稳定。综上，核桃叶片N、P、K光谱特征参量及反演精度与不同树龄核桃叶肉结构的稳定性高度一致，8年以上树龄核桃树体可构建具有普适性的N、P、K含量光谱反演模型。
Abstract:
-

参考文献/References:

［1］Yang L C，Deng S，Ma S M，et al. Estimation model of leaf nitrogen content based on GEP and leaf spectral reflectance［J］. Computers & Electrical Engineering，2022，98：107648.
［2］Zhai Y F，Cui L J，Zhou X，et al. Estimation of nitrogen，phosphorus，and potassium contents in the leaves of different plants using laboratory-based visible and near-infrared reflectance spectroscopy：comparison of partial least-square regression and support vector machine regression methods［J］. International Journal of Remote Sensing，2013，34(7)：2502-2518.
［3］Fu Y Y，Yang G J，Pu R L，et al. An overview of crop nitrogen status assessment using hyperspectral remote sensing：current status and perspectives［J］. European Journal of Agronomy，2021，124：126241.
［4］Li H M，Zhang J C，Xu K，et al. Spectral monitoring of wheat leaf nitrogen content based on canopy structure information compensation［J］. Computers and Electronics in Agriculture，2021，190：106434.
［5］Rubo S，Zinkernagel J. Exploring hyperspectral reflectance indices for the estimation of water and nitrogen status of spinach［J］. Biosystems Engineering，2022，214：58-71.
［6］Zhang M Y，Li M J，Liu W W，et al. Analyzing the performance of statistical models for estimating leaf nitrogen concentration of Phragmites australis based on leaf spectral reflectance［J］. Spectroscopy Letters，2019，52(9)：483-491.
［7］王植，周连第，李红，等. 桃树叶片氮素含量的高光谱遥感监测［J］. 中国农学通报，2011，27(4)：85-90.
［8］Gong P，Pu R，Heald R C. Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia［J］. International Journal of Remote Sensing，2002，23(9)：1827-1850.
［9］梁宇锋，潘满清，霍翔，等. 基于无人机多光谱图像的荔枝叶片氮磷钾含量检测［J］. 机电工程技术，2022，51(5)：138-142.
［10］庄红梅，卢春生，龚鹏，等. 基于高光谱叶尔羌扁桃氮磷钾含量估测模型研究［J］. 干旱地区农业研究，2017，35(2)：157-165.
［11］李民赞. 光谱分析技术及其应用［M］. 北京：科学出版社，2006：176-180.
［12］Assuero S G，Mollier A，Pellerin S. The decrease in growth of phosphorus-deficient maize leaves is related to a lower cell production［J］. Plant，Cell & Environment，2004，27(7)：887-895.
［13］Gairola S，Naidoo Y，Bhatt A，et al. An investigation of the foliar trichomes of Tetradenia riparia (Hochst.) Codd ［Lamiaceae］：an important medicinal plant of Southern Africa［J］. Flora，2009，204(4)：325-330.
［14］Franks P J，Farquhar G D. The mechanical diversity of stomata and its significance in gas-exchange control［J］. Plant Physiology，2007，143(1)：78-87.
［15］Antelmann H，Towe S，Albrecht D，et al. The phosphorus source phytate changes the composition of the cell wall proteome in Bacillus subtilis［J］. Journal of Proteome Research，2007，6(2)：897-903.
［16］Cochrane T T，Cochrane T A. Differences in the way potassium chloride and sucrose solutions effect osmotic potential of significance to stomata aperture modulation［J］. Plant Physiology and Biochemistry，2009，47(3)：205-209.
［17］Roelfsema M R G，Hedrich R. Do stomata of evolutionary distant species differ in sensitivity to environmental signals？［J］. New Phytologist，2016，211(3)：767-770.
［18］Champagne A，Boutry M. Proteomics of terpenoid biosynthesis and secretion in trichomes of higher plant species［J］. Biochimica et Biophysica Acta，2016，1864(8)：1039-1049.
［19］Kalicharan B，Naidoo Y，Heneidak S，et al. Distribution，morphological and histochemical characteristics of foliar trichomes of Plectranthus zuluensis (Lamiaceae)［J］. Brazilian Journal of Botany，2015，38(4)：961-971.
［20］Bernard A，Lheureux F，Dirlewanger E.Walnut：past and future of genetic improvement［J］. Tree Genetics & Genomes，2018，14(1)：1.
［21］浦瑞良，宫鹏. 高光谱遥感及其应用［M］. 北京：高等教育出版社，2000.
［22］徐寿林. 基于辐射传输模型提取叶片组分信息的研究［D］. 武汉：华中科技大学，2009：7-9.
［23］Jiang J Y，Comar A，Weiss M，et al. FASPECT：a model of leaf optical properties accounting for the differences between upper and lower faces［J］. Remote Sensing of Environment，2021，253：112205.
［24］Wu S B，Zeng Y L，Hao D L，et al. Quantifying leaf optical properties with spectral invariants theory［J］. Remote Sensing of Environment，2021，253：112131.
［25］Stenberg P，Mttus M，Rautiainen M.Photon recollision probability in modelling the radiation regime of canopies：a review［J］. Remote Sensing of Environment，2016，183：98-108.
［26］Féret J B，Gitelson A A，Noble S D，et al. PROSPECT-D：towards modeling leaf optical properties through a complete lifecycle［J］. Remote Sensing of Environment，2017，193：204-215.
［27］颜春燕.遥感提取植被生化组分信息方法与模型研究［D］. 北京：中国科学院，2003：16-37.
［28］Ichiro T，Hiroki O，Takashi F，et al. Light environment within a leaf. Ⅱ. Progress in the past one-third century［J］. Journal of Plant Research，2016，129(3)：353-363.
［29］Noda H M，Motohka T，Murakami K，et al. Reflectance and transmittance spectra of leaves and shoots of 22 vascular plant species and reflectance spectra of trunks and branches of 12 tree species in Japan［J］. Ecological Research，2014，29(2)：111.
［30］Stuckens J，Verstraeten W W，Delalieux S，et al. A dorsiventral leaf radiative transfer model：development，validation and improved model inversion techniques［J］. Remote Sensing of Environment，2009，113(12)：2560-2573.
［31］Chavana-Bryant C，Malhi Y，Anastasiou A，et al. Leaf age effects on the spectral predictability of leaf traits in Amazonian canopy trees［J］. Science of the Total Environment，2019，666：1301-1315.
［32］Cecilia C B，Yadvinder M，Jin W，et al. Leaf aging of Amazonian canopy trees as revealed by spectral and physiochemical measurements［J］. The New Phytologist，2017，214(3)：1049-1063.
［34］Mediavilla S，González-Zurdo P，García-Ciudad A，et al. Morphological and chemical leaf composition of Mediterranean evergreen tree species according to leaf age［J］. Trees，2011，25(4)：669-677.
［35］Yang X，Tang J W，Mustard J F，et al. Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests［J］. Remote Sensing of Environment，2016，179：1-12.
［36］Sims D A，Gamon J A. Relationships between leaf pigment content and spectral reflectance across a wide range of species，leaf structures and developmental stages［J］. Remote Sensing of Environment，2002，81(2/3)：337-354.

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备注/Memo

备注/Memo:
收稿日期：2023-08-14
基金项目：江苏省高等学校自然科学基金(编号：21KJD210002)；淮阴工学院博士科研启动基金(编号：Z301B20513)。
作者简介：胡珍珠(1986—)，女，江苏徐州人，博士，讲师，主要从事植物栽培与生理研究。E-mail：huzhenzhu2785@163.com。
更新日期/Last Update: 2024-08-05