Evidence map›Paper›PMID 33608616›Full record

ArticleScientific reports2021

Genome wide association analyses to understand genetic basis of flowering and plant height under three levels of nitrogen application in Brassica juncea (L.) Czern & Coss.

Javed Akhatar, Anna Goyal, Navneet Kaur, Chhaya Atri, Meenakshi Mittal, Mohini Prabha Singh, Rimaljeet Kaur, Indu Rialch, Surinder S Banga

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  15. Nitrogen Signaling Genes andInternational journal of molecular sciences · 2021
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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

9 authors at 1 institution in 1 country.

Javed AkhatarDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Anna GoyalDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Navneet KaurDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Chhaya AtriDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Meenakshi MittalDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Mohini Prabha SinghDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Rimaljeet KaurDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Indu RialchDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India.
Surinder S BangaDepartment of Plant Breeding and Genetics, Punjab Agricultural University, Ludhiana, 141004, Punjab, India. nppbg@pau.edu.ORCID 0000-0001-8209-7341
Punjab Agricultural University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely transition to flowering, maturity and plant height are important for agronomic adaptation and productivity of Indian mustard (B. juncea), which is a major edible oilseed crop of low input ecologies in Indian subcontinent. Breeding manipulation for these traits is difficult because of the involvement of multiple interacting genetic and environmental factors. Here, we report a genetic analysis of these traits using a population comprising 92 diverse genotypes of mustard. These genotypes were evaluated under deficient (N75), normal (N100) or excess (N125) conditions of nitrogen (N) application. Lower N availability induced early flowering and maturity in most genotypes, while high N conditions delayed both. A genotyping-by-sequencing approach helped to identify 406,888 SNP markers and undertake genome wide association studies (GWAS). 282 significant marker-trait associations (MTA's) were identified. We detected strong interactions between GWAS loci and nitrogen levels. Though some trait associated SNPs were detected repeatedly across fertility gradients, majority were identified under deficient or normal levels of N applications. Annotation of the genomic region (s) within ± 50 kb of the peak SNPs facilitated prediction of 30 candidate genes belonging to light perception, circadian, floral meristem identity, flowering regulation, gibberellic acid pathways and plant development. These included over one copy each of AGL24, AP1, FVE, FRI, GID1A and GNC. FLC and CO were predicted on chromosomes A02 and B08 respectively. CDF1, CO, FLC, AGL24, GNC and FAF2 appeared to influence the variation for plant height. Our findings may help in improving phenotypic plasticity of mustard across fertility gradients through marker-assisted breeding strategies.

Indexed as

Genome-Wide Association StudyQuantitative Trait, HeritableQuantitative Trait LociFlowersGenetic LinkageGenome, PlantGenotypeMustard PlantNitrogenPlant BreedingPolymorphism, Single NucleotideNitrogen

Identifiers

PMID33608616
PMCPMC7896068
OpenAlexW3132130461

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.