ArticleScientific reports2020
Genetic Analysis of Agronomic Traits and Grain Iron and Zinc Concentrations in a Doubled Haploid Population of Rice (Oryza sativa L.).
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 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.
- Meta-QTL s and haplotypes for efficient zinc biofortification of rice.The plant genome · 2023Pooled it
- Multi-omics revolution to promote plant breeding efficiency.Frontiers in plant science · 2022Pooled it
- Elite donors and stable marker-trait associations for grain iron and zinc biofortification in rice under organic and inorganic production systems.Frontiers in plant science · 2026Article
- Hidden Hunger in the Age of Abundance: The Nutritional Pitfalls of Modern Staple Crops.Food science & nutrition · 2025Review
- Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map.Scientific reports · 2024Article
- Genomic prediction and QTL analysis for grain Zn content and yield inJournal of plant biochemistry and biotechnology · 2024Article
- Phenotyping of Panicle Number and Shape in Rice Breeding Materials Based on Unmanned Aerial Vehicle Imagery.Plant phenomics (Washington, D.C.) · 2024Article
- Mineral nutrients in plants under changing environments: A road to future food and nutrition security.The plant genome · 2023Review
- Unraveling the genetics underlying micronutrient signatures of diversity panel present in brown rice through genome-ionome linkages.The Plant journal : for cell and molecular biology · 2023Article
- Genetic variation and characterization of Bambara groundnut [Vigna subterranea (L.) verdc.] accessions under multi-environments considering yield and yield components performance.Scientific reports · 2023Article
- Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents.Frontiers in plant science · 2023Review
- Molecular dissection of connected rice populations revealed important genomic regions for agronomic and biofortification traits.Frontiers in plant science · 2023Article
- OsNAC15 Regulates Tolerance to Zinc Deficiency and Cadmium by Binding toInternational journal of molecular sciences · 2022Article
- Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.BMC plant biology · 2022Article
- Identification of quantitative trait loci (QTLs) and candidate genes of seed Iron and zinc content in soybean [Glycine max (L.) Merr.].BMC genomics · 2022Article
- Identification of genomic loci regulating grain iron content inFood and energy security · 2022Article
- Mapping novel QTLs for yield related traits from a popular rice hybrid KRH-2 derived doubled haploid (DH) population.3 Biotech · 2021Article
- Nutritional Properties of Larval Epidermis and Meat of the Edible InsectFoods (Basel, Switzerland) · 2021Article
- Genetic determinants of micronutrient traits in graminaceous crops to combat hidden hunger.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
- Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Review
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of micronutrient dense rice varieties with good agronomic traits is one of the sustainable and cost-effective approaches for reducing malnutrition. Identification of QTLs for high grain Fe and Zn, yield and yield components helps in precise and faster development of high Fe and Zn rice. We carried out a three-season evaluation using IR05F102 x IR69428 derived doubled-haploid population at IRRI. Inclusive composite interval mapping was carried out using SNP markers and Best Linear Unbiased Estimates of the phenotypic traits. A total of 23 QTLs were identified for eight agronomic traits and grain Fe and Zn concentration that explained 7.2 to 22.0% PV. A QTL by environment interaction analysis confirmed the stability of nine QTLs, including two QTLs for Zn on chromosomes 5 and 12. One epistatic interaction for plant height was significant with 28.4% PVE. Moreover, five QTLs were identified for Fe and Zn that harbor several candidate genes, e.g. OsZIP6 on QTL qZn
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