ArticleJournal of integrative plant biology2014
Genomic regions underlying agronomic traits in linseed (Linum usitatissimum L.) as revealed by association mapping.
Article in Journal of integrative plant biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed.
- Improving Ramie Fiber: Current Progress and Future Directions in Molecular Breeding.Plants (Basel, Switzerland) · 2026Review
- Integrative transcriptome and genome resequencing reveals conserved flowering regulators and allelic variants in early- and late-flowering linseed (Linum usitatissimum L.) accessions.Scientific reports · 2026Article
- Characterization of trehalose-6-phosphate synthase gene family in linseed (Linum usitatissimum L.) and its potential implications in flowering time regulation.BMC plant biology · 2025Article
- Transcriptomic data of seven flax varieties contrasting in lodging resistance.Frontiers in plant science · 2025Article
- An R2R3-MYB Transcriptional FactorGenes · 2024Article
- Genomic prediction for agronomic traits in a diverse Flax (Linum usitatissimum L.) germplasm collection.Scientific reports · 2024Article
- Genetic dissection of thousand-seed weight in linseed (Frontiers in plant science · 2023Article
- Diversity ofFrontiers in nutrition · 2023Review
- Genetic Determinants of Fiber-Associated Traits in Flax Identified by Omics Data Integration.International journal of molecular sciences · 2022Article
- Identification of QTNs Associated With Flowering Time, Maturity, and Plant Height Traits inFrontiers in genetics · 2022Article
- RNA-Seq combined with population-level analysis reveals important candidate genes related to seed size in flax (Frontiers in plant science · 2022Article
- Genes Associated with the Flax Plant Type (Oil or Fiber) Identified Based on Genome and Transcriptome Sequencing Data.Plants (Basel, Switzerland) · 2021Article
- Chromosome-Level Genome Assembly and Annotation of the Fiber Flax (Frontiers in genetics · 2021Article
- Insights into nitrogen fixing traits and population structure analyses in cowpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020Article
- Mapping Quantitative Trait Loci onto Chromosome-Scale Pseudomolecules in Flax.Methods and protocols · 2020Article
- The Toolbox for Fiber Flax Breeding: A Pipeline From Gene Expression to Fiber Quality.Frontiers in genetics · 2020Article
- Genetic Variability of Morphological, Flowering, and Biomass Quality Traits in Hemp (Frontiers in plant science · 2020Article
- Genome-Wide SNP Identification and Association Mapping for Seed Mineral Concentration in Mung Bean (Frontiers in genetics · 2020Article
- Joint linkage and association mapping of complex traits in shrub willow (Salix purpurea L.).Annals of botany · 2019Article
- Resequencing 200 Flax Cultivated Accessions Identifies Candidate Genes Related to Seed Size and Weight and Reveals Signatures of Artificial Selection.Frontiers in plant science · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extreme climate of the Canadian Prairies poses a major challenge to improve yield. Although it is possible to breed for yield per se, focusing on yield-related traits could be advantageous because of their simpler genetic architecture. The Canadian flax core collection of 390 accessions was genotyped with 464 simple sequence repeat markers, and phenotypic data for nine agronomic traits including yield, bolls per area, 1,000 seed weight, seeds per boll, start of flowering, end of flowering, plant height, plant branching, and lodging collected from up to eight environments was used for association mapping. Based on a mixed model (principal component analysis (PCA) + kinship matrix (K)), 12 significant marker-trait associations for six agronomic traits were identified. Most of the associations were stable across environments as revealed by multivariate analyses. Statistical simulation for five markers associated with 1000 seed weight indicated that the favorable alleles have additive effects. None of the modern cultivars carried the five favorable alleles and the maximum number of four observed in any accessions was mostly in breeding lines. Our results confirmed the complex genetic architecture of yield-related traits and the inherent difficulties associated with their identification while illustrating the potential for improvement through marker-assisted selection.
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