Evidence map›Paper›PMID 34664160›Full record

ArticleFunctional & integrative genomics2021

Understanding population structure and detection of QTLs for curding-related traits in Indian cauliflower by genotyping by sequencing analysis.

K N Rakshita, Shrawan Singh, Veerender Kumar Verma, Brij Bihari Sharma, Navinder Saini, Mir Asif Iquebal, T K Behera

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Article in Functional & integrative genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

K N RakshitaDivision of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Shrawan SinghDivision of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India. singhshrawan@rediffmail.com.ORCID http://orcid.org/0000-0001-7011-4722
Veerender Kumar VermaICAR Research Complex for North Eastern Hill Region, Barapani, Meghalaya, India.
Brij Bihari SharmaDivision of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Navinder SainiDivision of Genetics, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Mir Asif IquebalICAR-Indian Agricultural Statistical Research Institute, New Delhi, India.
T K BeheraDivision of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India.
Indian Agricultural Research Institute · INICAR Research Complex for NEH Region · INIndian Agricultural Statistics Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Curd initiation and development are complex traits and highly responsive for different temperature ranges in cauliflower. The present study was aimed to identify QTLs for eight traits associated with curding behaviour in diverse germplasm of Indian cauliflower. For this, 92 genotypes of cauliflower and 2 each of tropical broccoli and cabbage were genotyped through genotyping by sequencing (GBS). It generated ≈302 million reads (9.1226E + 10 bp) and identified 35,381 SNPs, maximum from chromosome 3 (4735) with a mean value of 3981.1 SNPs. Ts/Tv ratio was 1.74, suggesting transition bias. STRUCTURE analysis revealed delta value of K = 4 and four subpopulations and prominence of population admixture. In total, 121 significant SNPs were detected for eight traits, 38 for Delhi (North Indian plain) and 83 for Barapani (North-East India). Twelve QTLs were detected for traits associated with regulation of curd formation and development, five of which were for marketable curd length, curd width, days to 50% curd harvest and marketable curd weight from Delhi region and seven for curd length, curd width, days to 50% curd harvest, gross plant weight, leaf length, marketable/net curd weight and number of leaves per plant for Barapani area of North East India. The SNPs identified will be useful for development of markers for curding-related traits and their use in breeding varieties with wider curding plasticity.

Indexed as

GenotypeBrassicaGenotyping TechniquesPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNAGBSIndian cauliflowerPopulation structureQuantitative trait lociSNPs

Identifiers

PMID34664160
OpenAlexW4200455452

What OpenQuestion holds

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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.