Evidence map›Paper›PMID 34961252›Full record

ArticlePlants (Basel, Switzerland)2021

Characterization of Root System Architecture Traits in Diverse Soybean Genotypes Using a Semi-Hydroponic System.

Shuo Liu, Naheeda Begum, Tingting An, Tuanjie Zhao, Bingcheng Xu, Suiqi Zhang, Xiping Deng, Hon-Ming Lam, Henry T Nguyen, Kadambot H M Siddique and 1 more

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

11 authors.

Shuo LiuCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.
Naheeda BegumNational Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China.
Tingting AnCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.
Tuanjie ZhaoNational Center for Soybean Improvement, Key Laboratory of Biology and Genetics and Breeding for Soybean, Ministry of Agriculture, State Key Laboratory for Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-8528-0405
Bingcheng XuCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.ORCID 0000-0002-1702-491X
Suiqi ZhangCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.
Xiping DengCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.
Hon-Ming LamCenter for Soybean Research of the State Key Laboratory of Agrobiotechnology, School of Life Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong, China.ORCID 0000-0002-6673-8740
Henry T NguyenDivision of Plant Sciences, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-7597-1800
Kadambot H M SiddiqueThe UWA Institute of Agriculture, School of Agriculture and Environment, The University of Western Australia, Perth 6009, Australia.ORCID 0000-0001-6097-4235
Yinglong ChenCollege of Natural Resources and Environment, and State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xi'an 712100, China.ORCID 0000-0003-0798-8683

Funding

Hong Kong Research Grants Council Area of Excellence Scheme AoE/M-403/16National Natural Science Foundation of China 42077055
6 · The paper itself

Abstract

Phenotypic variation and correlations among root traits form the basis for selecting and breeding soybean varieties with efficient access to water and nutrients and better adaptation to abiotic stresses. Therefore, it is important to develop a simple and consistent system to study root traits in soybean. In this study, we adopted the semi-hydroponic system to investigate the variability in root morphological traits of 171 soybean genotypes popularized in the Yangtze and Huaihe River regions, eastern China. Highly diverse phenotypes were observed: shoot height (18.7-86.7 cm per plant with a median of 52.3 cm); total root length (208-1663 cm per plant with a median of 885 cm); and root mass (dry weight) (19.4-251 mg per plant with a median of 124 mg). Both total root length and root mass exhibited significant positive correlation with shoot mass (

Indexed as

root distributionroot phenomicsroot system architecturesoybean

Identifiers

PMID34961252
PMCPMC8707277

What Socratic 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 Socratic graph.