Evidence map›Paper›PMID 41415961›Full record

ArticlePlant phenomics (Washington, D.C.)2025

3D reconstruction enables high-throughput phenotyping and quantitative genetic analysis of phyllotaxy.

Jensina M Davis, Mathieu Gaillard, Michael C Tross, Nikee Shrestha, Ian Ostermann, Ryleigh J Grove, Bosheng Li, Bedrich Benes, James C Schnable

Abstract read
In one paragraph

Article in Plant phenomics (Washington, D.C.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Jensina M DavisCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Mathieu GaillardDepartment of Computer Science, Purdue University, West Lafayette, IN, 47906, USA.
Michael C TrossCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Nikee ShresthaCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Ian OstermannDepartment of Computer Science, Purdue University, West Lafayette, IN, 47906, USA.
Ryleigh J GroveCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.
Bosheng LiDepartment of Computer Science, Purdue University, West Lafayette, IN, 47906, USA.
Bedrich BenesDepartment of Computer Science, Purdue University, West Lafayette, IN, 47906, USA.
James C SchnableCenter for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, 68588, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in canopy architecture play a role in determining both the light and water use efficiency. Canopy architecture is determined by several component traits, including leaf length, width, number, angle, and phyllotaxy. Phyllotaxy may be among the most difficult of the leaf canopy traits to measure accurately across large numbers of individual plants. As a result, in simulations of the leaf canopies of grain crops such as maize and sorghum, this trait is frequently approximated as alternating 180° angles between sequential leaves. We explore the feasibility of extracting direct measurements of the phyllotaxy of sequential leaves from 3D reconstructions of individual sorghum plants generated from 2D calibrated images and test the assumption of consistently alternating phyllotaxy across a diverse set of sorghum genotypes. Using a voxel-carving-based approach, we generate 3D reconstructions from multiple calibrated 2D images of 366 sorghum plants representing 236 sorghum genotypes from the sorghum association panel. The correlation between automated and manual measurements of phyllotaxy is only modestly lower than the correlation between manual measurements of phyllotaxy generated by two different individuals. Automated phyllotaxy measurements exhibited a repeatability of

Indexed as

3D reconstructionGenome wide association studyHigh-throughput phenotypingPhyllotaxySorghum

Identifiers

PMID41415961
PMCPMC12710043

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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.