Literature DB >> 24506525

Optimal nitrogen distribution within a leaf canopy under direct and diffuse light.

Kouki Hikosaka1.   

Abstract

Nitrogen distribution within a leaf canopy is an important determinant of canopy carbon gain. Previous theoretical studies have predicted that canopy photosynthesis is maximized when the amount of photosynthetic nitrogen is proportionally allocated to the absorbed light. However, most of such studies used a simple Beer's law for light extinction to calculate optimal distribution, and it is not known whether this holds true when direct and diffuse light are considered together. Here, using an analytical solution and model simulations, optimal nitrogen distribution is shown to be very different between models using Beer's law and direct-diffuse light. The presented results demonstrate that optimal nitrogen distribution under direct-diffuse light is steeper than that under diffuse light only. The whole-canopy carbon gain is considerably increased by optimizing nitrogen distribution compared with that in actual canopies in which nitrogen distribution is not optimized. This suggests that optimization of nitrogen distribution can be an effective target trait for improving plant productivity.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  canopy photosynthesis; light distribution; model; nitrogen allocation; nitrogen use; optimization

Mesh:

Substances:

Year:  2014        PMID: 24506525     DOI: 10.1111/pce.12291

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


  16 in total

1.  Spatio-temporal variations in photosynthesis.

Authors:  Ichiro Terashima; Yanhong Tang; Hiroyuki Muraoka
Journal:  J Plant Res       Date:  2016-05       Impact factor: 2.629

Review 2.  Optimality of nitrogen distribution among leaves in plant canopies.

Authors:  Kouki Hikosaka
Journal:  J Plant Res       Date:  2016-04-08       Impact factor: 2.629

3.  A meta-analysis of leaf nitrogen distribution within plant canopies.

Authors:  Kouki Hikosaka; Niels P R Anten; Almaz Borjigidai; Chiho Kamiyama; Hidemitsu Sakai; Toshihiro Hasegawa; Shimpei Oikawa; Atsuhiro Iio; Makoto Watanabe; Takayoshi Koike; Kazuya Nishina; Akihiko Ito
Journal:  Ann Bot       Date:  2016-06-13       Impact factor: 4.357

4.  The role of biomass allocation between lamina and petioles in a game of light competition in a dense stand of an annual plant.

Authors:  Kenta Yoshinaka; Hisae Nagashima; Yusuke Yanagita; Kouki Hikosaka
Journal:  Ann Bot       Date:  2018-04-18       Impact factor: 4.357

5.  Light acclimation optimizes leaf functional traits despite height-related constraints in a canopy shading experiment.

Authors:  Adam P Coble; Molly A Cavaleri
Journal:  Oecologia       Date:  2015-01-18       Impact factor: 3.225

6.  Increased Needle Nitrogen Contents Did Not Improve Shoot Photosynthetic Performance of Mature Nitrogen-Poor Scots Pine Trees.

Authors:  Lasse Tarvainen; Martina Lutz; Mats Räntfors; Torgny Näsholm; Göran Wallin
Journal:  Front Plant Sci       Date:  2016-07-20       Impact factor: 5.753

7.  Canopy nitrogen distribution is optimized to prevent photoinhibition throughout the canopy during sun flecks.

Authors:  Mitsutoshi Kitao; Satoshi Kitaoka; Hisanori Harayama; Hiroyuki Tobita; Evgenios Agathokleous; Hajime Utsugi
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

8.  Within-Leaf Nitrogen Allocation in Adaptation to Low Nitrogen Supply in Maize during Grain-Filling Stage.

Authors:  Xiaohuan Mu; Qinwu Chen; Fanjun Chen; Lixing Yuan; Guohua Mi
Journal:  Front Plant Sci       Date:  2016-05-24       Impact factor: 5.753

9.  Sweet Pepper (Capsicum annuum L.) Canopy Photosynthesis Modeling Using 3D Plant Architecture and Light Ray-Tracing.

Authors:  Jee Hoon Kim; Joon Woo Lee; Tae In Ahn; Jong Hwa Shin; Kyung Sub Park; Jung Eek Son
Journal:  Front Plant Sci       Date:  2016-09-09       Impact factor: 5.753

10.  Leaf age dependent changes in within-canopy variation in leaf functional traits: a meta-analysis.

Authors:  Ülo Niinemets
Journal:  J Plant Res       Date:  2016-03-31       Impact factor: 2.629

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