Evidence map›Paper›PMID 30697122›Full record

ArticleBreeding science2018

Fine mapping of a major quantitative trait locus,

Zejun Hu, Liming Cao, Xuejun Sun, Yu Zhu, Tianyu Zhang, Lin Jiang, Yahui Liu, Siqing Dong, Dayun Sun, Jingshui Yang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breeding science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

12 authors.

Zejun HuGroup of Crop Genetics and Breeding, Jiangxi Agricultural University, Nanchang 330045, China.
Liming CaoInstitute of Crop Breeding and Cultivation, Shanghai Academy of Agricultural Sciences, Shanghai 201403, China.
Xuejun SunGroup of Crop Genetics and Breeding, Jiangxi Agricultural University, Nanchang 330045, China.
Yu ZhuState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Tianyu ZhangDeng Jia Bu Rice Foundation Seed Farm of Jiangxi Province, Yujiang 335200, China.
Lin JiangState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Yahui LiuState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Siqing DongState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Dayun SunState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Jingshui YangState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.
Haohua HeGroup of Crop Genetics and Breeding, Jiangxi Agricultural University, Nanchang 330045, China.
Xiaojin LuoState Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grain number per panicle is a major component of rice yield that is typically controlled by many quantitative trait loci (QTLs). The identification of genes controlling grain number per panicle in rice would be valuable for the breeding of high-yielding rice. The

Indexed as

African rice (Oryza glaberrima S.)chromosome segment substituted linesfine mappinggrain number per panicle

Identifiers

PMID30697122
PMCPMC6345233

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.