Evidence map›Paper›PMID 38493116›Full record

ArticleBMC plant biology2024

Variation in shoot architecture traits and their relationship to canopy coverage and light interception in soybean (Glycine max).

Suma Sreekanta, Allison Haaning, Austin Dobbels, Riley O'Neill, Anna Hofstad, Kamaldeep Virdi, Fumiaki Katagiri, Robert M Stupar, Gary J Muehlbauer, Aaron J Lorenz

Abstract read
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In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Suma SreekantaDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Allison HaaningDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Austin DobbelsDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Riley O'NeillSchool of Mathematics, University of Minnesota, 55455, Minneapolis, MN, USA.
Anna HofstadDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Kamaldeep VirdiDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Fumiaki KatagiriDepartment of Plant and Microbial Biology and Microbial and Plant Genomics Institute, University of Minnesota, 55108, St Paul, MN, USA.
Robert M StuparDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA.
Gary J MuehlbauerDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA. muehl003@umn.edu.
Aaron J LorenzDepartment of Agronomy and Plant Genetics, University of Minnesota, 55108, St. Paul, MN, USA. lore0149@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn soybeans, faster canopy coverage (CC) is a highly desirable trait but a fully covered canopy is unfavorable to light interception at lower levels in the canopy with most of the incident radiation intercepted at the top of the canopy. Shoot architecture that influences CC is well studied in crops such as maize and wheat, and altering architectural traits has resulted in enhanced yield. However, in soybeans the study of shoot architecture has not been as extensive.

resultsThis study revealed significant differences in CC among the selected soybean accessions. The rate of CC was found to decrease at the beginning of the reproductive stage (R1) followed by an increase during the R2-R3 stages. Most of the accessions in the study achieved maximum rate of CC between R2-R3 stages. We measured Light interception (LI), defined here as the ratio of Photosynthetically Active Radiation (PAR) transmitted through the canopy to the incoming PAR or the radiation above the canopy. LI was found to be significantly correlated with CC parameters, highlighting the relationship between canopy structure and light interception. The study also explored the impact of plant shape on LI and CO

conclusionIn conclusion, this study provides insight into the relationship between soybean shoot architecture, canopy coverage, and light interception. It demonstrates that novel shoot architecture traits we have defined here are genetically variable, impact CC and LI and contribute to our understanding of soybean morphology. Correlations between different architecture traits, CC and LI suggest that it is possible to optimize soybean growth without compromising on light transmission within the soybean canopy. In addition, the study underscores the utility of integrating low-cost 2D phenotyping as a practical and cost-effective alternative to more time-intensive 3D or high-tech low-throughput methods. This approach offers a feasible means of studying basic shoot architecture traits at the field level, facilitating a broader and efficient assessment of plant morphology.

Indexed as

Glycine maxPhotosynthesisCarbon DioxideCrops, AgriculturalLightPlant LeavesReproducibility of ResultsCarbon DioxideCanopy coverageGlycine maxLight interceptionShoot architecture

Identifiers

PMID38493116
PMCPMC10944616

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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.