林业科学2017，Vol.53Issue(5)：16-22,7.DOI:10.11707/j.1001-7488.20170503
桉树叶片水分状态的近红外光谱检测
Assessing Leaf Water Status of Eucalyptus Using NIRS
摘要
Abstract
[Objective] The aim of this study was to monitor the leaf relative water content (RWC) and water potential (Ψw) in structured Eucalyptus camaldulensis and E.tereticornis populations by Near Infrared spectroscopy (NIRS).[Method] The samples were collected from the breeding population,which contained 21 families of 7 provenances for E.camaldulensis,and 26 families of 5 provenances for E.tereticornis.A total of 20 average-growth seedlings per family were chosen,divided into 5 groups randomly,and were watered every day by replenishing 100%,70%,50%,30% and 0% of the average water loss of these seedlings from pots by evapotranspiration,respectively.In 60 days after water controls,three seedlings per water control and per family were chosen,of which the top second pair fully expanded leaves were used to be scanned with a portable near infrared spectrometer for getting the NIRS spectra.After the scanning,the leaf RWC and leaf Ψw were measured.The measurements were conducted once a day for consecutive 18 days.[Result] The results showed that there was a close relationship between water status traits and the raw NIRS at 1 860-1 960 nm.However,after the transform of the 2nd derivate preprocess for raw NIR spectra,there were significant differences of leaf RWC and Ψw among all samples in the whole range of NIRs.The NIRs calibrated PLS(partial least squares) model for the prediction of leaf RWC and Ψw both showed a good fitting.The correlation coefficient between predicted and measured value (R2) were 0.92 and 0.84 for leaf Ψw and RWC,respectively.The average differences between predicted and measured values (RMSE) were 0.25 and 1.31 for leaf Ψw and RWC,respectively.[Conclusion] The coefficient of variation curve showed that the information of whole NIRS range should be used to calibrate the PLS model for the water status traits associated physiological characters in Eucalyptus.All the findings in this study highlight the advantages and perspectives of NIRS in monitoring leaf water status traits in structured Eucalyptus populations.关键词
桉树/近红外光谱/叶片相对含水量/叶片水势/近红外PLS模型Key words
Eucalyptus/NIRS/leaf relative water content/leaf water potential/NIRS calibrated PLS model分类
农业科技引用本文复制引用
卢万鸿,杨桂丽,林彦,王楚彪,罗建中..桉树叶片水分状态的近红外光谱检测[J].林业科学,2017,53(5):16-22,7.基金项目
中央级公益性科研院所基本科研业务费专项资金项目(CAFYBB2017MA022) （CAFYBB2017MA022）
广东省科技计划项目(2012B020302005) （2012B020302005）
"十三五"科技部国家重点研发计划(2016YFD0600503). （2016YFD0600503）
