Evidence map›Paper›PMID 36643298›Full record

ReviewFrontiers in plant science2022

The intervention of classical and molecular breeding approaches to enhance flooding stress tolerance in soybean - An review.

Guan Yijun, Xie Zhiming, Guan Jianing, Zhao Qian, Adnan Rasheed, Muhammad Iftikhar Hussain, Iftikhar Ali, Zhang Shuheng, Muhammad Umair Hassan, Mohamed Hashem and 5 more

RetractedOpen access · goldAbstract readReviewRetracted Publication
In one paragraph

Review in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.9field-weighted citation impact, top 9% 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, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 11 institutions in 4 countries.

Guan YijunCollege of Life Sciences, Northwest Agricultural and Forestry University, Yangling, Shanxi, China.
Xie ZhimingCollege of Life Sciences, Baicheng Normal University, Baicheng, Jilin, China.
Guan JianingRice Research Institute, Shenyang Agricultural University, Shenyang, China.
Zhao QianChangchun Normal University, College of Life Sciences, Changchun, China.
Adnan RasheedChangchun Normal University, College of Life Sciences, Changchun, China.
Muhammad Iftikhar HussainPlant Biology and Soil Science Department, Universidade de Vigo, Vigo, Spain.
Iftikhar AliState Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences (CAS), Beijing, China.
Zhang ShuhengCollege of Agronomy, Jilin Agricultural University, Changchun, Jilin, China.
Muhammad Umair HassanResearch Center on Ecological Sciences , Jiangxi Agricultural University, Nanchang, China.
Mohamed HashemDepartment of Biology, College of Science, King Khalid University, Abha, Saudi Arabia.
Yasser S MostafaDepartment of Biology, College of Science, King Khalid University, Abha, Saudi Arabia.
Yueqiang WangJilin Academy of Agricultural Sciences and National Engineering Research Center for Soybean, Changchun, China.
Liang ChenJilin Academy of Agricultural Sciences and National Engineering Research Center for Soybean, Changchun, China.
Wang XiaoxueRice Research Institute, Shenyang Agricultural University, Shenyang, China.
Wei JianChangchun Normal University, College of Life Sciences, Changchun, China.
Changchun Normal University · CNJilin Academy of Agricultural Sciences · CNKing Khalid University · SABaiCheng Normal University · CNChinese Academy of Sciences · CNJiangxi Agricultural University · CNJilin Agricultural University · CNNorthwest A&F University · CNRice Research Institute · CNShenyang Agricultural University · CNUniversidade de Vigo · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abiotic stresses and climate changes cause severe loss of yield and quality of crops and reduce the production area worldwide. Flooding stress curtails soybean growth, yield, and quality and ultimately threatens the global food supply chain. Flooding tolerance is a multigenic trait. Tremendous research in molecular breeding explored the potential genomic regions governing flood tolerance in soybean. The most robust way to develop flooding tolerance in soybean is by using molecular methods, including quantitative trait loci (QTL) mapping, identification of transcriptomes, transcription factor analysis, CRISPR/Cas9, and to some extent, genome-wide association studies (GWAS), and multi-omics techniques. These powerful molecular tools have deepened our knowledge about the molecular mechanism of flooding stress tolerance. Besides all this, using conventional breeding methods (hybridization, introduction, and backcrossing) and other agronomic practices is also helpful in combating the rising flooding threats to the soybean crop. The current review aims to summarize recent advancements in breeding flood-tolerant soybean, mainly by using molecular and conventional tools and their prospects. This updated picture will be a treasure trove for future researchers to comprehend the foundation of flooding tolerance in soybean and cover the given research gaps to develop tolerant soybean cultivars able to sustain growth under extreme climatic changes.

Indexed as

CRISPR/Ca9floodingomicsQTLsoybeantolerance

Identifiers

PMID36643298
PMCPMC9835000
OpenAlexW4313328962

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.