ArticleScientific reports2020
Identification of quantitative trait loci (QTL) controlling resistance to pea weevil (Bruchus pisorum) in a high-density integrated DArTseq SNP-based genetic map of pea.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 30 citations in OpenAlex.
- Integrating genomics, multi-omics, CRISPR and speed breeding for stress-resilient vegetable legume improvement.Functional & integrative genomics · 2026Review
- Integrated Transcriptomic and Metabolomic Mining of Candidate Genes for Weevil Resistance in Pea.Plants (Basel, Switzerland) · 2026Article
- Molecular perspectives on life-history evolution in Bruchinae seed beetles.Genetics and molecular biology · 2026Article
- A genome-wide association study of arabinoxylan content in flour of triticale (×Frontiers in plant science · 2026Article
- Identification of Sources of Resistance to Aphanomyces Root Rot inPlants (Basel, Switzerland) · 2024Article
- Genome-Wide Association Studies on Resistance to Pea Weevil: Identification of Novel Sources of Resistance and Associated Markers.International journal of molecular sciences · 2024Article
- Novel SNP markers for flowering and seed quality traits in faba bean (Frontiers in plant science · 2024Article
- Genetic diversity and population structure analysis of a diverse panel of pea (Frontiers in genetics · 2024Article
- Mapping of quantitative trait locus revealsFrontiers in plant science · 2023Article
- Molecular mechanisms, genetic mapping, and genome editing for insect pest resistance in field crops.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Review
- Large-Scale Heat-Tolerance Screening and Genetic Diversity of Pea (Plants (Basel, Switzerland) · 2022Article
- Unraveling the Genetic Basis of Key Agronomic Traits of Wrinkled Vining Pea (Frontiers in plant science · 2022Article
- Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea (Frontiers in plant science · 2022Review
- A QTL on the Ca7 chromosome of chickpea affects resistance to the root-lesion nematodeMolecular breeding : new strategies in plant improvement · 2021Article
- Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Pea weevil (Bruchus pisorum) is a damaging insect pest affecting pea (Pisum sativum) production worldwide. No resistant cultivars are available, although some levels of incomplete resistance have been identified in Pisum germplasm. To decipher the genetic control underlying the resistance previously identify in P. sativum ssp. syriacum, a recombinant inbred line (RIL F
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.