Evidence map›Paper›PMID 31561497›Full record

ArticlePlants (Basel, Switzerland)2019

Deciphering the Genetic Architecture of Plant Height in Soybean Using Two RIL Populations Sharing a Common

Yongce Cao, Shuguang Li, Guoliang Chen, Yanfeng Wang, Javaid Akhter Bhat, Benjamin Karikari, Jiejie Kong, Junyi Gai, Tuanjie Zhao

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. A genome-wide association study prioritizes VRN1-2 as a candidate gene associated with plant height in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Identifying Soybean Pod Borer (International journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. 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.

Yongce CaoMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. caoyongce@yau.edu.cn.
Shuguang LiMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. dawn0524@126.com.
Guoliang ChenShaanxi Key Laboratory of Chinese Jujube, College of Life Science, Yan'an University, Yan'an 716000, China. glc@yau.edu.cn.
Yanfeng WangShaanxi Key Laboratory of Chinese Jujube, College of Life Science, Yan'an University, Yan'an 716000, China. yadxwyf@yau.edu.cn.
Javaid Akhter BhatMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. javid.akhter69@gmail.com.
Benjamin KarikariMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. benkarikari1@gmail.com.
Jiejie KongMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. 2012094@njau.edu.cn.
Junyi GaiMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. tjzhao@njau.edu.cn.
Tuanjie ZhaoMOA Key Laboratory of Biology and Genetic Improvement of Soybean (General), State Key Laboratory for Crop Genetics and Germplasm Enhancement, Soybean Research Institute, National Center for Soybean Improvement, Nanjing Agricultural University, Nanjing 210095, China. sri@njau.edu.cn.ORCID 0000-0002-8528-0405

Funding

the Doctoral Research Startup Program of Yan'an University YDBK2018-02the Fundamental Research Funds for the Central Universities KYT201801the Jiangsu Collaborative Innovation Center for Modern Crop Production JCIC-MCPthe MOE Program for Changjiang Scholars and Innovative Research Team in University PCSIRT_17R55the National Key Research and Development Program , 2018YFD0201006the National Natural Science Foundation of China Grant Nos. 31872847and 31271750
6 · The paper itself

Abstract

Plant height (PH) is an important agronomic trait that is closely related to soybean yield and quality. However, it is a complex quantitative trait governed by multiple genes and is influenced by environment. Unraveling the genetic mechanism involved in PH, and developing soybean cultivars with desirable PH is an imperative goal for soybean breeding. In this regard, the present study used high-density linkage maps of two related recombinant inbred line (RIL) populations viz., MT and ZM evaluated in three different environments to detect additive and epistatic effect quantitative trait loci (QTLs) as well as their interaction with environments for PH in Chinese summer planting soybean. A total of eight and 12 QTLs were detected by combining the composite interval mapping (CIM) and mixed-model based composite interval mapping (MCIM) methods in MT and ZM populations, respectively. Among these QTLs, nine QTLs viz.,

Indexed as

high-density bin mapinteraction effectslinkage mappingmain-effect QTLsub-populations

Identifiers

PMID31561497
PMCPMC6843848

What OpenQuestion holds

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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 OpenQuestion graph.