ArticleBMC plant biology2022
Study and QTL mapping of reproductive and morphological traits implicated in the autofertility of faba bean.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Article
- Influence of long-term nutrient deficiency on pollen and anther morphological traits in rye.Journal of experimental botany · 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
- 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
- Pollen and anther morphological variation in rye was shaped by domestication.BMC plant biology · 2025Article
- 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
- A high-density linkage map and fine QTL mapping of architecture, phenology, and yield-related traits in faba bean (Frontiers in plant science · 2025Article
- Cultivating sustainable futures: multi-environment evaluation and seed yield stability of faba bean (Vicia faba L.) genotypes by using different stability parameters in Ethiopia.BMC plant biology · 2024Article
- Transcriptome Analysis of Stigmas ofPlants (Basel, Switzerland) · 2024Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Autofertility describes the ability of faba bean flowers to self-fertilize thereby ensuring the productivity of this crop in the absence of pollinators or mechanical disturbance. In the legume crop faba bean (Vicia faba L.), lack of autofertility in a context of insufficient pollination can lead to a severe decrease in grain yield. Here we performed the first QTL analysis aimed at identifying the genomic regions controlling autofertility in this crop. We combined pod and seed setting scores from a recombinant inbred population (RIL) segregating for autofertility in different environments and years with measurements of morphological floral traits and pollen production and viability. This approach revealed 19 QTLs co-localizing in six genomic regions. Extensive co-localization was evident for various floral features whose QTLs clustered in chrs. I, II and V, while other QTLs in chrs. III, IV and VI revealed co-localization of flower characteristics and pod and seed set data. The percentage of phenotypic variation explained by the QTLs ranged from 8.9 for style length to 25.7 for stigma angle. In the three QTLs explaining the highest phenotypic variation (R
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