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.
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.
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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.
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Who cites it
2 citing papers in PubMed.
- BSA-seq integrated with transcriptomics and metabolomics revealing the candidate genes associated with safflower colors and flavonoid glycosides biosynthesis.Horticulture research · 2026Article
- 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 · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
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.
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