Evidence map›Paper›PMID 40611537›Full record

ArticlePhysiologia plantarum

Advanced High-Throughput Root Phenotyping and GWAS Identifies Key Genomic Regions in Cowpea During Vegetative Growth Stage.

Liny Lay, Sheikh Mansoor, Waleed Khan, Mohammad Shafiqul Islam, Amit Ghimire, Hyun Jo, Yong Suk Chung, Yoonha Kim

Abstract read
In one paragraph

Article in Physiologia plantarum. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Liny LayDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Sheikh MansoorDepartment of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea.
Waleed KhanDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Mohammad Shafiqul IslamDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Amit GhimireDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Hyun JoDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.
Yong Suk ChungDepartment of Plant Resources and Environment, Jeju National University, Jeju, Republic of Korea.ORCID https://orcid.org/0000-0003-3121-7600
Yoonha KimDepartment of Applied Biosciences, Kyungpook National University, Daegu, Republic of Korea.ORCID https://orcid.org/0000-0003-0058-9161

Funding

Ministry of Education 2017R1D1A3B0303917Ministry of Education 2021R1A6C101A416
6 · The paper itself

Abstract

Improving crop production in changing environments can be achieved through selective breeding; however, limited advanced root phenotyping and genotyping in early growth stages hinder assessing root architecture variation and diversity, despite its importance. Therefore, this study utilized advanced image phenotyping on a diverse set of 222 cowpea accessions, revealing significant variations in key phenotypic traits and the genomic regions influencing them. Our study revealed a total of 55 genes linked to major root traits. Among eight root traits-total root length (TRL), surface area (SA), average diameter (AD), root volume (RV), tip number (TN), fork number (FN), primary root length (PRL), and lateral root length (LRL), analyzed, seven significant single nucleotide polymorphisms (SNPs) demonstrated particularly strong associations with three key traits, including surface area (SA), tip number (TN), and fork number (FN). SA emerged as a significant trait, exhibiting considerable variation across the studied accessions. The mean SA was 59.59 cm

Indexed as

Genome-Wide Association StudyPlant RootsVignaGenome, PlantGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait Lociadvance phenotypinggenotypingroot architecturesingle nucleotide polymorphismsVigna unguiculata

Identifiers

PMID40611537
PMCPMC12232088

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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.