Evidence map›Paper›PMID 33622237›Full record

ArticleBMC genomics2021

Mapping and validation of a major QTL for primary root length of soybean seedlings grown in hydroponic conditions.

Huatao Chen, Giriraj Kumawat, Yongliang Yan, Baojie Fan, Donghe Xu

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Transcriptional gene network involved in drought stress response: application for crop breeding in the context of climate change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Frontiers in plant science · 2024
    Article
  10. Review
  11. Article
  12. Genome-Wide Identification of Auxin Response Factors in Peanut (International journal of molecular sciences · 2022
    Article
  13. Article
  14. Towards Developing Drought-smart Soybeans.Frontiers in plant science · 2021
    Review
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.

Huatao Chen *Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, 305-8686, Tsukuba, Ibaraki, Japan.
Giriraj Kumawat *Japan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, 305-8686, Tsukuba, Ibaraki, Japan.ORCID http://orcid.org/0000-0003-3380-1173
Yongliang YanJapan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, 305-8686, Tsukuba, Ibaraki, Japan.
Baojie FanJapan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, 305-8686, Tsukuba, Ibaraki, Japan.
Donghe XuJapan International Research Center for Agricultural Sciences (JIRCAS), 1-1 Ohwashi, 305-8686, Tsukuba, Ibaraki, Japan. xudh@jircas.affrc.go.jp.ORCID http://orcid.org/0000-0002-2447-795X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe root system provides nutrient absorption and is closely related to abiotic stress tolerance, but it is difficult to study the roots under field conditions. This study was conducted to identify quantitative trait loci (QTL) associated with primary root length (PRL) during soybean seedling growth in hydroponic conditions. A total of 103 F

resultsQTL analysis using inclusive composite interval mapping method identified a major QTL on Gm16 between SSR markers Sat_165 and Satt621, explaining 30.25 % of the total phenotypic variation. The identified QTL, qRL16.1, was further confirmed in a segregating population derived from a residual heterozygous line (RHLs-98). To validate qRL16.1 in a different genetic background, QTL analysis was performed in another F

conclusionsThe qRL16.1 is a novel QTL for primary root length in soybean which provides important information on the genetic control of root development. Identification of this major QTL will facilitate positional cloning and DNA marker-assisted selection for root traits in soybean.

Indexed as

Glycine maxQuantitative Trait LociChromosome MappingHydroponicsPhenotypeSeedlingsNear isogenic lines (NILs)Primary root lengthQuantitative trait loci (QTL)Residual heterozygous lines (RHLs)Soybean

Identifiers

PMID33622237
PMCPMC7903605

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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.