ArticlePLoS genetics2021
Prediction of heterosis in the recent rapeseed (Brassica napus) polyploid by pairing parental nucleotide sequences.
Article in PLoS genetics, 2021. 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, 16 citations in OpenAlex.
- Unraveling the complexity of the oilseed rape genome: from sequencing to gene discovery for trait improvement.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Review
- Halophilic bacteria and archaea in salinity-resilient agriculture: mechanisms and multi-omics perspectives.Archives of microbiology · 2026Review
- Optimization and application of genome prediction model in rapeseed: flowering time, yield components, and oil content as examples.Horticulture research · 2025Article
- A CRISPR/Cas9-induced male-sterile line facilitating easy hybrid production in polyploid rapeseed (Horticulture research · 2024Article
- BnaC01.BIN2, a GSK3-like kinase, modulates plant height and yield potential in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genome-wide analysis of transcriptome and histone modifications inFrontiers in plant science · 2023Article
- Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus.Genome biology · 2022Article
- Photosynthetic Efficiency and Glyco-Metabolism Changes in Artificial Triploid Loquats Contribute to Heterosis Manifestation.International journal of molecular sciences · 2022Article
- Integration of multi-omics technologies for crop improvement: Status and prospects.Frontiers in bioinformatics · 2022Article
Corrections and comments
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Authors and funding
13 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The utilization of heterosis is a successful strategy in increasing yield for many crops. However, it consumes tremendous manpower to test the combining ability of the parents in fields. Here, we applied the genomic-selection (GS) strategy and developed models that significantly increase the predictability of heterosis by introducing the concept of a regional parental genetic-similarity index (PGSI) and reducing dimension in the calculation matrix in a machine-learning approach. Overall, PGSI negatively affected grain yield and several other traits but positively influenced the thousand-seed weight of the hybrids. It was found that the C subgenome of rapeseed had a greater impact on heterosis than the A subgenome. We drew maps with overviews of quantitative-trait loci that were responsible for the heterosis (h-QTLs) of various agronomic traits. Identifications and annotations of genes underlying high impacting h-QTLs were provided. Using models that we elaborated, combining abilities between an Ogu-CMS-pool member and a potential restorer can be simulated in silico, sidestepping laborious work, such as testing crosses in fields. The achievements here provide a case of heterosis prediction in polyploid genomes with relatively large genome sizes.
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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.