Literature DB >> 18541334

Non-destructive determination of maize leaf and canopy chlorophyll content.

Verónica Ciganda1, Anatoly Gitelson, James Schepers.   

Abstract

The objective of this study was to develop a rapid non-destructive technique to estimate total chlorophyll (Chl) content in a maize canopy using Chl content in a single leaf. The approach was (1) to calibrate and validate a reflectance-based non-destructive technique to estimate leaf Chl in maize; (2) to quantify the relative contribution of each leaf Chl to the total Chl in the canopy; and (3) to establish a relationship between leaf Chl content and total Chl in a maize canopy. The Red Edge Chlorophyll Index CI(red edge)=(R(NIR)/R(red edge))-1 based on reflectances, R, in the red edge (720-730nm) and near infrared (770-800nm) was found to be an accurate measure of maize leaf Chl. It was able to predict leaf Chl ranging from 10 to 805mgChlm(-2) with root mean-square error less than 38mgChlm(-2). Relationships between Chl content in each maize leaf and total canopy Chl content were established and showed that Chl in the collar leaf before silking or ear leaves explained more than 80% and 87% of the variation in total Chl in a maize canopy, respectively. Thus, non-destructive measurements of both reflectance and area of a single leaf (either collar or ear) can be used to accurately estimate total Chl content in a maize canopy.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18541334     DOI: 10.1016/j.jplph.2008.03.004

Source DB:  PubMed          Journal:  J Plant Physiol        ISSN: 0176-1617            Impact factor:   3.549


  8 in total

1.  Photosynthetic resistance and resilience under drought, flooding and rewatering in maize plants.

Authors:  Miao Qi; Xiaodi Liu; Yibo Li; He Song; Zuotian Yin; Feng Zhang; Qijin He; Zhenzhu Xu; Guangsheng Zhou
Journal:  Photosynth Res       Date:  2021-03-04       Impact factor: 3.573

Review 2.  Utilization of Spectral Indices for High-Throughput Phenotyping.

Authors:  Rupesh Tayade; Jungbeom Yoon; Liny Lay; Abdul Latif Khan; Youngnam Yoon; Yoonha Kim
Journal:  Plants (Basel)       Date:  2022-06-28

3.  Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data.

Authors:  Jingfeng Huang; Chen Wei; Yao Zhang; George Alan Blackburn; Xiuzhen Wang; Chuanwen Wei; Jing Wang
Journal:  PLoS One       Date:  2015-09-10       Impact factor: 3.240

4.  Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production.

Authors:  Marston Héracles Domingues Franceschini; Harm Bartholomeus; Dirk van Apeldoorn; Juha Suomalainen; Lammert Kooistra
Journal:  Sensors (Basel)       Date:  2017-06-18       Impact factor: 3.576

5.  Active-Optical Sensors Using Red NDVI Compared to Red Edge NDVI for Prediction of Corn Grain Yield in North Dakota, U.S.A.

Authors:  Lakesh K Sharma; Honggang Bu; Anne Denton; David W Franzen
Journal:  Sensors (Basel)       Date:  2015-11-02       Impact factor: 3.576

6.  Canopy Chlorophyll Density Based Index for Estimating Nitrogen Status and Predicting Grain Yield in Rice.

Authors:  Xiaojun Liu; Ke Zhang; Zeyu Zhang; Qiang Cao; Zunfu Lv; Zhaofeng Yuan; Yongchao Tian; Weixing Cao; Yan Zhu
Journal:  Front Plant Sci       Date:  2017-10-27       Impact factor: 5.753

7.  Arbuscular Mycorrhiza in Highly Fertilized Maize Cultures Alleviates Short-Term Drought Effects but Does Not Improve Fodder Yield and Quality.

Authors:  Władysław Polcyn; Ewelina Paluch-Lubawa; Teresa Lehmann; Robert Mikuła
Journal:  Front Plant Sci       Date:  2019-04-17       Impact factor: 5.753

8.  Assessing plant performance in the Enviratron.

Authors:  Yin Bao; Scott Zarecor; Dylan Shah; Taylor Tuel; Darwin A Campbell; Antony V E Chapman; David Imberti; Daniel Kiekhaefer; Henry Imberti; Thomas Lübberstedt; Yanhai Yin; Dan Nettleton; Carolyn J Lawrence-Dill; Steven A Whitham; Lie Tang; Stephen H Howell
Journal:  Plant Methods       Date:  2019-10-23       Impact factor: 4.993

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.