Predicting dark respiration rates of wheat leaves from hyperspectral reflectance-Reference-Cited by-同舟云学术

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

Published:2019-03-28 Issue:7 Volume:42 Page:2133-2150
ISSN:0140-7791
Container-title:Plant, Cell & Environment
language:en
Short-container-title:Plant Cell Environ

Author:

Coast Onoriode¹^ORCID,Shah Shahen¹²,Ivakov Alexander³,Gaju Oorbessy¹,Wilson Philippa B.¹^ORCID,Posch Bradley C.¹,Bryant Callum J.¹,Negrini Anna Clarissa A.¹,Evans John R.³^ORCID,Condon Anthony G.³⁴,Silva‐Pérez Viridiana³⁴,Reynolds Matthew P.⁵,Pogson Barry J.¹,Millar A. Harvey⁶^ORCID,Furbank Robert T.³⁴,Atkin Owen K.¹^ORCID

Affiliation:

1. ARC Centre of Excellence in Plant Energy Biology, Research School of Biology Australian National University Canberra Australian Capital Territory 2601 Australia

2. The University of Agriculture Peshawar Peshawar 25130 Pakistan

3. ARC Centre of Excellence for Translational Photosynthesis, Research School of Biology Australian National University Canberra Australian Capital Territory 2601 Australia

4. CSIRO Agriculture Canberra Australian Capital Territory 2601 Australia

5. International Maize and Wheat Improvement Centre (CIMMYT) México 06600 Mexico

6. ARC Centre of Excellence in Plant Energy Biology University of Western Australia Perth Western Australia 6009 Australia

Funder

Australian Research Council

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/pce.13544

Reference106 articles.