ArticleFrontiers in plant science2016
Genome-wide Association Study Identifies New Loci for Resistance to
Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed, 64 citations in OpenAlex.
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- Novel Molecular Markers and Immune-Related Candidate Genes for Blackleg Resistance in Rapeseed: A Genome-Wide Analysis.International journal of molecular sciences · 2026Article
- Using genotype imputation to integrate Canola populations for genome-wide association and genomic prediction of blackleg resistance.BMC genomics · 2025Article
- From Recognition to Response: Resistance-Effector Gene Interactions in thePlants (Basel, Switzerland) · 2025Review
- DArTseq-Based, High-Throughput Identification of Novel Molecular Markers for the Detection of Blackleg (International journal of molecular sciences · 2024Article
- Breeding and management of major resistance genes to stem canker/blackleg in Brassica crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Review
- Identification of candidate genes forFrontiers in plant science · 2023Article
- "Late" effectors fromPlant direct · 2022Article
- In silico integration of disease resistance QTL, genes and markers with theMolecular breeding : new strategies in plant improvement · 2022Article
- Metabolic Capacity DifferentiatesPathogens (Basel, Switzerland) · 2022Article
- Comparison of non-subjective relative fungal biomass measurements to quantify the Leptosphaeria maculans-Brassica napus interaction.Plant methods · 2021Article
- A gene-for-gene interaction involving a 'late' effector contributes to quantitative resistance to the stem canker disease in Brassica napus.The New phytologist · 2021Article
- Candidate Rlm6 resistance genes against Leptosphaeria. maculans identified through a genome-wide association study in Brassica juncea (L.) Czern.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Using wild relatives and related species to build climate resilience in Brassica crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Dissection of Quantitative Blackleg Resistance Reveals Novel Variants of Resistance GeneFrontiers in plant science · 2021Article
- TheFrontiers in plant science · 2021Article
- Recent Findings Unravel Genes and Genetic Factors UnderlyingInternational journal of molecular sciences · 2020Review
- Understanding Host-Pathogen Interactions inPlants (Basel, Switzerland) · 2020Review
- Identification of resistance loci in Chinese and Canadian canola/rapeseed varieties against Leptosphaeria maculans based on genome-wide association studies.BMC genomics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Key message "We identified both quantitative and quantitative resistance loci to
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.