Evidence map›Paper›PMID 34319558›Full record

ArticlePhotosynthesis research2021

An insight into spectral composition of light available for photosynthesis via remotely assessed absorption coefficient at leaf and canopy levels.

Anatoly Gitelson, Timothy Arkebauer, Alexei Solovchenko, Anthony Nguy-Robertson, Yoshio Inoue

Abstract read
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In one paragraph

Article in Photosynthesis research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Nondestructive Detection ofPlant-environment interactions (Hoboken, N.J.) · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. 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.

Anatoly GitelsonSchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA. agitelson2@unl.edu.
Timothy ArkebauerDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.
Alexei SolovchenkoFaculty of Biology, Lomonosov Moscow State University, GSP-1, Moscow, Russia, 119234. solovchenko@mail.bio.msu.ru.ORCID http://orcid.org/0000-0001-6746-8511
Anthony Nguy-RobertsonSchool of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, 68583, USA.
Yoshio InoueGraduate School of Engineering, The University of Tokyo, Tokyo, 113-8656, Japan.

Funding

USDA National Institute of Food and Agriculture 1002649
6 · The paper itself

Abstract

Non-invasive comparative analysis of the spectral composition of energy absorbed by crop species at leaf and plant levels was carried out using the absorption coefficient retrieved from leaf and plant reflectance as an informative metric. In leaves of three species with contrasting leaf structures and photosynthetic pathways (maize, soybean, and rice), the blue, green, and red fractions of leaf absorption coefficients were 48, 20, and 32%, respectively. The fraction of green light in the total budget of light absorbed at the plant level was higher than at the leaf level approaching the size of the red fraction (24% green vs. 25.5% red) and surpassing it inside the canopy. The plant absorption coefficient in the far-red region (700-750 nm) was significant reaching 7-10% of the absorption coefficient in green or red regions. The spectral composition of the absorbed light in the three species was virtually the same. Fractions of light in absorbed PAR remained almost invariant during growing season over a wide range of plant chlorophyll content. Fractions of absorption coefficient in the green, red, and far-red were in accord with published results of quantum yield for CO

Indexed as

Absorbed radiationFar-red lightGreen lightPhotosynthesisReflectance

Identifiers

What OpenQuestion holds

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Registered trials

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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.