The rapid A/C i response: a guide to best practices-Reference-Cited by-同舟云学术

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The rapid A/C i response: a guide to best practices

Published:2018-09-10 Issue:2 Volume:221 Page:625-627
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Stinziano Joseph R.¹^ORCID,McDermitt Dayle K.²^ORCID,Lynch Douglas J.³,Saathoff Aaron J.³⁴,Morgan Patrick B.⁴⁵,Hanson David T.¹^ORCID

Affiliation:

1. Department of Biology The University of New Mexico Albuquerque NM 87104 USA

2. Department of Agronomy and Horticulture University of Nebraska‐Lincoln Lincoln NE 68583 USA

3. Li‐Cor Inc. Lincoln NE 68504 USA

4. School of Natural Resources University of Nebraska‐Lincoln Lincoln NE 68583 USA;

5. Monsanto Chesterfield MO 63017 USA

Funder

Office of Experimental Program to Stimulate Competitive Research

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.15383

Reference11 articles.

1. Optimizing the statistical estimation of the parameters of the Farquhar–von Caemmerer–Berry model of photosynthesis

2. On the need to incorporate sensitivity to CO2 transfer conductance into the Farquhar-von Caemmerer-Berry leaf photosynthesis model

3. Changes in the chloroplastic CO 2 concentration explain much of the observed Kok effect: a model

4. Reliable estimation of biochemical parameters from C3 leaf photosynthesis-intercellular carbon dioxide response curves

5. Estimating mesophyll conductance to CO2: methodology, potential errors, and recommendations

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1. Estimating CO2 Response in a Mixed Broadleaf Forest using the Dynamic Assimilation Technique;2024-07-15

2. Accurate photosynthetic parameter estimation at low stomatal conductance: effects of cuticular conductance and instrumental noise;Photosynthesis Research;2024-05-03

3. Response of carbon fixation, allocation, and growth to source‐sink manipulation by defoliation in vegetative citrus trees;Physiologia Plantarum;2024-04-30

4. Estimation of photosynthetic parameters from hyperspectral images using optimal deep learning architecture;Computers and Electronics in Agriculture;2024-01

5. Hyperspectral Proximal Sensing for Estimating Photosynthetic Capacities at Leaf and Canopy Scales;Methods in Molecular Biology;2024

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