ArticleScientific reports2017
QTL mapping using an ultra-high-density SNP map reveals a major locus for grain yield in an elite rice restorer R998.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Single marker analysis for leaf gas exchange traits from RILS of RD 23 (O. sativa L.) and O. longistaminata.Biotechnology reports (Amsterdam, Netherlands) · 2022Article
- A meta-quantitative trait loci analysis identified consensus genomic regions and candidate genes associated with grain yield in rice.Frontiers in plant science · 2022Article
- Genome resequencing-based high-density genetic map and QTL detection for yield and fiber quality traits in diploid Asiatic cotton (Gossypium arboreum).Molecular genetics and genomics : MGG · 2022Article
- Identification of alkali-tolerant candidate genes using the NGS-assisted BSA strategy in rice.Molecular breeding : new strategies in plant improvement · 2021Article
- Genome wide screening and comparative genome analysis for Meta-QTLs, ortho-MQTLs and candidate genes controlling yield and yield-related traits in rice.BMC genomics · 2020Article
- Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.Scientific reports · 2019Article
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12 authors.
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Abstract
To dissect the genetic basis of yield formation in restorer line of hybrid rice, we conducted QTL analysis for 6 yield traits including panicles per plant (PPP), grains per panicle (GPP), grain yield per plant (GY), thousand-grain weight (TGW), above-ground biomass (AGB), and harvest index (HI) using SNP markers in a recombinant inbred lines (RILs) population derived from a cross between a tropical japonica inbred Francis and an elite indica restorer Guanghui 998 (R998). A total of 26 QTLs were detected using a high density genetic map consisting of 3016 bin markers. Nineteen out of the 26 QTL alleles from R998 had a beneficial effect on yield traits. Most of the QTLs were co-located with previously reported rice QTLs. qAGB6 and qHI9, controlling AGB and HI respectively, were detected as novel QTLs. Four QTLs for GY were repeatedly detected across two years, with all the beneficial alleles from R998. Notably, qGY8 explained over 20% of the yield variance in both years. Moreover, qGY8 together with qTGW8 and qHI8 formed a QTL cluster. Markers tightly linked with qGY8 were developed. Cloning of qGY8 will facilitate its further exploitation in high-yield breeding.
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