Evidence map›Paper›PMID 32256527›Full record

ArticleFrontiers in genetics2020

Mapping and Validation of QTLs for the Amino Acid and Total Protein Content in Brown Rice.

Su Jang, Jae-Hyuk Han, Yoon Kyung Lee, Na-Hyun Shin, Yang Jae Kang, Chang-Kug Kim, Joong Hyoun Chin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

9 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. QTL detection for rice grain storage protein content and genetic effect verifications.Molecular breeding : new strategies in plant improvement · 2023
    Article
  4. Article
  5. Article
  6. Consensus genetic map and QTLs for morphological and agronomical traits in mungbean using DArT markers.Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  7. Article
  8. Major QTLs,Frontiers in plant science · 2021
    Article
  9. 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

7 authors at 4 institutions in 1 country.

Su JangDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea.
Jae-Hyuk HanDepartment of Integrative Bio-Industrial Engineering, Sejong University, Seoul, South Korea.
Yoon Kyung LeeDepartment of Plant Science, Plant Genomics and Breeding Institute, Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul, South Korea.
Na-Hyun ShinDepartment of Integrative Bio-Industrial Engineering, Sejong University, Seoul, South Korea.
Yang Jae KangDivision of Applied Life Science (BK21 Plus Program), Plant Molecular Biology and Biotechnology Research Center, Gyeongsang National University, Jinju, South Korea.
Chang-Kug KimGenomics Division, National Institute of Agricultural Sciences, Jeonju, South Korea.
Joong Hyoun ChinDepartment of Integrative Bio-Industrial Engineering, Sejong University, Seoul, South Korea.
Sejong University · KRSeoul National University · KRGyeongsang National University · KRNational Institute of Agricultural Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Highly nutritious rice production will be benefited with the improvement of amino acid content (AAC) and protein content (PC). The identification of quantitative trait loci (QTLs) associated with the PC and AAC of rice grains could provide a basis for improving the nutritional value of rice grains. Here, we conducted QTL analyses using recombinant inbred lines from the cross between

Indexed as

amino acid contentbrown ricegenotyping-by-sequencingprotein contentquantitative trait locirice (Oryza sativa L.)

Identifiers

PMID32256527
PMCPMC7089939
OpenAlexW3010798059

What OpenQuestion 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 OpenQuestion graph.