ArticleBMC plant biology2012
Association mapping in sunflower for Sclerotinia Head Rot resistance.
Article in BMC plant biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 66 citations in OpenAlex.
- Identification and Fine-Mapping of a Novel LocusPlants (Basel, Switzerland) · 2025Article
- Co-option of transcription factors drives evolution of quantitative disease resistance against a necrotrophic pathogen.The Plant cell · 2025Article
- Combining Linkage and Association Mapping Approaches to Study the Genetic Architecture of Verticillium Wilt Resistance in Sunflower.Plants (Basel, Switzerland) · 2025Article
- A lightweight co-optimization model for field sunflower disease identification.Frontiers in plant science · 2025Article
- High-Resolution Disease Phenotyping Reveals Distinct Resistance Mechanisms of Tomato Crop Wild Relatives againstPlant phenomics (Washington, D.C.) · 2024Article
- Article
- A Quantitative Genetic Study of Sclerotinia Head Rot Resistance Introgressed from the Wild PerennialInternational journal of molecular sciences · 2022Article
- Association mapping for broomrape resistance in sunflower.Frontiers in plant science · 2022Article
- Genetic control of arbuscular mycorrhizal colonization by Rhizophagus intraradices in Helianthus annuus (L.).Mycorrhiza · 2021Article
- On-field phenotypic evaluation of sunflower populations for broad-spectrum resistance to Verticillium leaf mottle and wilt.Scientific reports · 2021Article
- Genetic loci underlying quantitative resistance to necrotrophic pathogens Sclerotinia and Diaporthe (Phomopsis), and correlated resistance to both pathogens.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Exploring sunflower responses to Sclerotinia head rot at early stages of infection using RNA-seq analysis.Scientific reports · 2020Article
- Unveiling the genetic basis of Sclerotinia head rot resistance in sunflower.BMC plant biology · 2020Article
- Phylotranscriptomics of the Pentapetalae Reveals Frequent Regulatory Variation in Plant Local Responses to the Fungal PathogenThe Plant cell · 2020Article
- Inheritance and molecular mapping of powdery mildew (3 Biotech · 2020Article
- Association Analysis of Charcoal Rot Disease Resistance in Soybean.The plant pathology journal · 2019Article
- Recent Advances in Mechanisms of Plant Defense toFrontiers in plant science · 2019Review
- Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Sunflower Hybrid Breeding: From Markers to Genomic Selection.Frontiers in plant science · 2017Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSclerotinia Head Rot (SHR) is one of the most damaging diseases of sunflower in Europe, Argentina, and USA, causing average yield reductions of 10 to 20 %, but leading to total production loss under favorable environmental conditions for the pathogen. Association Mapping (AM) is a promising choice for Quantitative Trait Locus (QTL) mapping, as it detects relationships between phenotypic variation and gene polymorphisms in existing germplasm without development of mapping populations. This article reports the identification of QTL for resistance to SHR based on candidate gene AM.
resultsA collection of 94 sunflower inbred lines were tested for SHR under field conditions using assisted inoculation with the fungal pathogen Sclerotinia sclerotiorum. Given that no biological mechanisms or biochemical pathways have been clearly identified for SHR, 43 candidate genes were selected based on previous transcript profiling studies in sunflower and Brassica napus infected with S. sclerotiorum. Associations among SHR incidence and haplotype polymorphisms in 16 candidate genes were tested using Mixed Linear Models (MLM) that account for population structure and kinship relationships. This approach allowed detection of a significant association between the candidate gene HaRIC_B and SHR incidence (P < 0.01), accounting for a SHR incidence reduction of about 20 %.
conclusionsThese results suggest that AM will be useful in dissecting other complex traits in sunflower, thus providing a valuable tool to assist in crop breeding.
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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.