SynthesisFrontiers in plant science2021
Conventional and Molecular Breeding Tools for Accelerating Genetic Gain in Faba Bean (
Synthesis in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 53 citations in OpenAlex.
- Integrating genomics, multi-omics, CRISPR and speed breeding for stress-resilient vegetable legume improvement.Functional & integrative genomics · 2026Review
- Faba bean populations already contain the inbreds needed for breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Combining two high-density QTL maps with a reference genome to identify candidate genes for morphology, yield, and biotic resistance in faba bean (Frontiers in plant science · 2026Article
- Adaptation of faba bean cultivars across Norwegian environments: identification of elite material and definition of optimal breeding and cultivar testing procedures.Frontiers in plant science · 2026Article
- Combination of QTL mapping and GWAS for fine mapping and gene mining of drought tolerance and seed yield components in faba bean (Vicia faba L.).BMC plant biology · 2025Article
- Comprehensive evaluation of compound saline-alkali tolerance and gene mining by GWAS in Vicia faba L.BMC plant biology · 2025Article
- Genomic prediction for heat and herbicide tolerance in faba bean.The plant genome · 2025Article
- Targeted genotyping (90K-SPET) facilitates genome-wide association studies and the prediction of yield-related traits in faba bean (Vicia faba L.).BMC plant biology · 2025Article
- Nutritional Quality, Safety and Environmental Benefits of Alternative Protein Sources-An Overview.Nutrients · 2025Review
- A special short-wing petal faba genome and genetic dissection of floral and yield-related traits accelerate breeding and improvement of faba bean.Genome biology · 2025Article
- Multiple copy number variants ofFrontiers in plant science · 2025Article
- Article
- A high-density linkage map and fine QTL mapping of architecture, phenology, and yield-related traits in faba bean (Frontiers in plant science · 2025Article
- Genome-wide association study uncovers pea candidate genes and metabolic pathways involved in rust resistance.The plant genome · 2024Article
- High-throughput seed quality analysis in faba bean: leveraging Near-InfraRed spectroscopy (NIRS) data and statistical methods.Food chemistry: X · 2024Article
- The Jan Sjödin faba bean mutant collection: morphological and molecular characterization.Hereditas · 2024Article
- Recent progress and potential future directions to enhance biological nitrogen fixation in faba bean (Plant-environment interactions (Hoboken, N.J.) · 2024Review
- Genome-wide association study for yield-related traits in faba bean (Frontiers in plant science · 2024Article
- Occurrence, distribution, and genetic diversity of faba bean viruses in China.Frontiers in microbiology · 2024Article
- Viruses of plant-pathogenic fungi: a promising biocontrol strategy for Sclerotinia sclerotiorum.Archives of microbiology · 2023Review
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Faba bean is a cool-season grain legume crop, which is grown worldwide for food and feed. Despite a decrease in area under faba bean in the past, the interest in growing faba bean is increasing globally due to its high seed protein content and its excellent ecological service. The crop is, however, exposed to diverse biotic and abiotic stresses causing unstable, low grain yield. Although, sources of resistance to main diseases, such as ascochyta blight (
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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.