Evidence map›Paper›PMID 35955926›Full record

ArticleInternational journal of molecular sciences2022

Disease Resistance and Molecular Variations in Irradiation Induced Mutants of Two Pea Cultivars.

Dong Deng, Suli Sun, Wenqi Wu, Chao Xiang, Canxing Duan, Dongmei Yu, Xuehong Wu, Zhendong Zhu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Biological responses of an elite centipedegrass [Frontiers in plant science · 2024
    Article
  5. 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

8 authors at 3 institutions in 1 country.

Dong DengInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Suli SunInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Wenqi WuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-8123-2959
Chao XiangCrop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China.
Canxing DuanInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-6534-1426
Dongmei YuCrop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610066, China.
Xuehong WuCollege of Plant Protection, China Agricultural University, Beijing 100193, China.
Zhendong ZhuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0002-6867-0591
Chinese Academy of Agricultural Sciences · CNSichuan Academy of Agricultural Sciences · CNChina Agricultural University · CN

Funding

National Key R&D Program of China 2019YFD1001300National Key R&D Program of China 2019YFD1001301the China Agriculture Research System of MOF and MARA CARS-08
6 · The paper itself

Abstract

Induced mutation is useful for improving the disease resistance of various crops. Fusarium wilt and powdery mildew are two important diseases which severely influence pea production worldwide. In this study, we first evaluated Fusarium wilt and powdery mildew resistance of mutants derived from two elite vegetable pea cultivars, Shijiadacaiwan 1 (SJ1) and Chengwan 8 (CW8), respectively. Nine SJ1 and five CW8 M

Indexed as

AscomycotaDisease ResistancePhylogenyPisum sativumPlant BreedingPlant Diseasesdisease resistanceer1-2genetic variationmutantPisum sativum

Identifiers

PMID35955926
PMCPMC9369183
OpenAlexW4295725801

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.