Evidence map›Paper›PMID 29846520›Full record

ArticleAnnals of botany2018

Three-dimensional plant architecture and sunlit-shaded patterns: a stochastic model of light dynamics in canopies.

Renata Retkute, Alexandra J Townsend, Erik H Murchie, Oliver E Jensen, Simon P Preston

Abstract read
In one paragraph

Article in Annals of botany, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Vertical profile of photosynthetic light response within rice canopy.International journal of biometeorology · 2020
    Article
  7. Review
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Renata RetkuteDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK.
Alexandra J TownsendDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK.
Erik H MurchieDivision of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Sutton Bonington campus, Loughborough, UK.
Oliver E JensenSchool of Mathematics, University of Manchester, Oxford Road, Manchester, UK.
Simon P PrestonSchool of Mathematical Sciences, University of Nottingham, Nottingham, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/G003157/1Biotechnology and Biological Sciences Research Council BB/J003999/1
6 · The paper itself

Abstract

Background and Aims: Diurnal changes in solar position and intensity combined with the structural complexity of plant architecture result in highly variable and dynamic light patterns within the plant canopy. This affects productivity through the complex ways that photosynthesis responds to changes in light intensity. Current methods to characterize light dynamics, such as ray-tracing, are able to produce data with excellent spatio-temporal resolution but are computationally intensive and the resulting data are complex and high-dimensional. This necessitates development of more economical models for summarizing the data and for simulating realistic light patterns over the course of a day. Methods: High-resolution reconstructions of field-grown plants are assembled in various configurations to form canopies, and a forward ray-tracing algorithm is applied to the canopies to compute light dynamics at high (1 min) temporal resolution. From the ray-tracer output, the sunlit or shaded state for each patch on the plants is determined, and these data are used to develop a novel stochastic model for the sunlit-shaded patterns. The model is designed to be straightforward to fit to data using maximum likelihood estimation, and fast to simulate from. Key Results: For a wide range of contrasting 3-D canopies, the stochastic model is able to summarize, and replicate in simulations, key features of the light dynamics. When light patterns simulated from the stochastic model are used as input to a model of photoinhibition, the predicted reduction in carbon gain is similar to that from calculations based on the (extremely costly) ray-tracer data. Conclusions: The model provides a way to summarize highly complex data in a small number of parameters, and a cost-effective way to simulate realistic light patterns. Simulations from the model will be particularly useful for feeding into larger-scale photosynthesis models for calculating how light dynamics affects the photosynthetic productivity of canopies.

Indexed as

AlgorithmsModels, BiologicalCarbonComputer SimulationImaging, Three-DimensionalPhotosynthesisPlant LeavesPlant Physiological PhenomenaPlantsSunlightTriticumCarbon

Identifiers

PMID29846520
PMCPMC6070062

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.