Evidence map›Paper›PMID 35524104›Full record

ArticleJournal of applied genetics2022

Identification of significant marker-trait associations for Fusarium wilt resistance in a genetically diverse core collection of safflower using AFLP and SSR markers.

Krishna Nand Singh, Sapna Rawat, Kuldeep Kumar, Surekha Katiyar Agarwal, Shailendra Goel, Arun Jagannath, Manu Agarwal

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Article in Journal of applied genetics, 2022. 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Exploring genetic diversity and ascertaining genetic loci associated with important fruit quality traits in apple (Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Krishna Nand SinghDepartment of Botany, University of Delhi, North Campus, Delhi, India.
Sapna RawatDepartment of Botany, University of Delhi, North Campus, Delhi, India.
Kuldeep KumarICAR-Indian Institute of Pulses Research, Kanpur, Uttar Pradesh, India.
Surekha Katiyar AgarwalDepartment of Plant Molecular Biology, University of Delhi, South Campus, New Delhi, India.
Shailendra GoelDepartment of Botany, University of Delhi, North Campus, Delhi, India. agarwalm71@gmail.com.
Arun JagannathDepartment of Botany, University of Delhi, North Campus, Delhi, India. agarwalm71@gmail.com.
Manu AgarwalDepartment of Botany, University of Delhi, North Campus, Delhi, India. agarwalm71@gmail.com.

Funding

Faculty Research Program IoE/FRP/LS/2020/27
6 · The paper itself

Abstract

Safflower (Carthamus tinctorius L.), an oilseed crop, is severely affected by Fusarium oxysporum f. sp. carthami (Foc), a fungus causing Fusarium wilt (FW) resulting in up to 80% yield loss. In the present study, we used a panel of 84 diverse accessions from the composite core collection to perform association mapping for FW-resistance. Hydroponics-based screening resulted in categorization of 84 accessions as 31 immune, 19 highly resistant, 9 moderately resistant, 4 moderately susceptible, and 21 highly susceptible. Genotyping with a combination of 155 AFLP and 144 SSR markers revealed substantial genetic differentiation and structure analysis identified three main subpopulations (K = 3) with nearly 35% of admixtures in the panel. Kinship analysis at individual and population level revealed absence of or weak relatedness between the accessions. Association mapping with General Linear Model and Mixed Linear Model identified 4 marker-trait associations (MTAs) significantly linked with the FW-resistance trait. Of these, 3 robust MTAs identified in both the models exhibited phenotypic variance ranging from 4.09 to 6.45%. Locus-128 showing a low P-value and high phenotypic variance was identified as a promising marker-trait association that will facilitate marker-assisted breeding for FW-resistance in safflower.

Indexed as

Carthamus tinctoriusFusariumAmplified Fragment Length Polymorphism AnalysisHumansPlant BreedingPlant DiseasesAFLPFusarium wiltGenetic diversityGWASSSR

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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.