Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics-Reference-Cited by-同舟云学术

Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics

Published:2018-03 Issue: Volume:192 Page:41-51
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Das Bappa,Sahoo Rabi N.,Pargal Sourabh,Krishna Gopal,Verma Rakesh,Chinnusamy Viswanathan,Sehgal Vinay K.,Gupta Vinod K.,Dash Sushanta K.,Swain Padmini

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference77 articles.

1. Osmoregulation and water stress in higher plants;Morgan;Annu. Rev. Plant Physiol.,1984

2. Growth and sugar accumulation in durum wheat plants under water stress;Kameli;New Phytol.,1996

3. Carbohydrates and water status in wheat plants under water stress;Kameli;New Phytol.,1993

4. Photosynthetic gas exchange, chlorophyll fluorescence and some associated metabolic changes in cowpea (Vigna unguiculata) during water stress and recovery;Souza;Environ. Exp. Bot.,2004

5. Nonstructural leaf carbohydrate dynamics of Pinus Edulis during drought-induced tree mortality reveal role for carbon metabolism in mortality mechanism;Adams;New Phytol.,2013

Cited by 58 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Differential phenotypic plasticity of subalpine trees predicts trait integration under climate warming;New Phytologist;2024-08-19

2. Alleviation of High-Fat Diet-Induced Hyperlipidemia in Mice by Stachys sieboldii Miq. Huangjiu via the Modulation of Gut Microbiota Composition and Metabolic Function;Foods;2024-07-26

3. Assessment of apple soluble sugar content by hyperspectral vegetation indexes;Spectroscopy Letters;2024-06-27

4. Onfield estimation of quality parameters in alfalfa through hyperspectral spectrometer data;Computers and Electronics in Agriculture;2024-01

5. Artificial intelligence/machine learning-assisted near-infrared/optical biosensing for plant phenotyping;Machine Learning and Artificial Intelligence in Chemical and Biological Sensing;2024