ArticleFunctional & integrative genomics2016
Association mapping and genetic dissection of nitrogen use efficiency-related traits in rice (Oryza sativa L.).
Article in Functional & integrative genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Enhancing cereal productivity via nitrogen use efficiency: from conventional breeding to modern genomics.Frontiers in genetics · 2026Review
- Phenotypic and genome-wide association analyses for nitrogen use efficiency related traits in maize (Frontiers in plant science · 2023Article
- GWAS and Transcriptome Analysis Reveal Key Genes Affecting Root Growth under Low Nitrogen Supply in Maize.Genes · 2022Article
- Loci and Natural Alleles for Low-Nitrogen-Induced Growth Response Revealed by the Genome-Wide Association Study Analysis in Rice (Frontiers in plant science · 2021Article
- Biochemical and Genetic Approaches Improving Nitrogen Use Efficiency in Cereal Crops: A Review.Frontiers in plant science · 2021Review
- Genomic Breeding of Green Super Rice Varieties and Their Deployment in Asia and Africa.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
- Improvement of nutrient use efficiency in rice: current toolbox and future perspectives.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
- Genome-wide associated study identifies NAC42-activated nitrate transporter conferring high nitrogen use efficiency in rice.Nature communications · 2019Article
- RDWN6BMC plant biology · 2019Article
- Article
- Identification of rice landraces with promising yield and the associated genomic regions under low nitrogen.Scientific reports · 2018Article
- Molecular Genetics and Breeding for Nutrient Use Efficiency in Rice.International journal of molecular sciences · 2018Review
- Genetic Dissection and Simultaneous Improvement of Drought and Low Nitrogen Tolerances by Designed QTL Pyramiding in Rice.Frontiers in plant science · 2018Article
- Genetic dissection of plant growth habit in chickpea.Functional & integrative genomics · 2017Article
- QTL Mapping by Whole Genome Re-sequencing and Analysis of Candidate Genes for Nitrogen Use Efficiency in Rice.Frontiers in plant science · 2017Article
- PCR-based assays for validation of single nucleotide polymorphism markers in rice and mungbean.Hereditas · 2017Article
- Genetic Basis for Variation in Wheat Grain Yield in Response to Varying Nitrogen Application.PloS one · 2016Article
- The Genetic Control of Grain Protein Content under Variable Nitrogen Supply in an Australian Wheat Mapping Population.PloS one · 2016Article
- Identification of Single Nucleotide Polymorphisms Associated with Brown Rust Resistance, α-Amylase Activity and Pre-harvest Sprouting in Rye (Plant molecular biology reporterArticle
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The increases in the usage of nitrogen fertilizer result in deleterious impacts on the environment; thus, there is an urgent need to improve nitrogen use efficiency (NUE) in crops including rice (Oryza sativa L.). Attentions have focused on quantitative trait loci (QTL) mapping of NUE-related traits using single experimental population, but to date, very few studies have taken advantage of association mapping to examine hundreds of lines for identifying potentially novel QTLs in rice. Here, we conducted association analysis on NUE-related traits using a population containing 184 varieties, which were genotyped with 157 genome-wide simple sequence repeat (SSR) markers. We detected eight statistically significant marker loci associating with NUE-related traits, of which two QTLs at RM5639 and RM3628 harbored known NUE-related genes GS1;2 and AspAt3, respectively. At a novel NUE-related locus RM5748, we developed Kompetitive Allele Specific PCR (KASP) single nucleotide polymorphism (SNP) markers and searched for putative NUE-related genes which are close to the associated SNP marker. Based on a transcriptional map of N stress responses constructed by our lab, we evaluated expressions of the NUE-related genes in this region and validated their effect on NUE. Meanwhile, we analyzed NUE-related alleles of the eight loci that could be utilized in marker-assisted selection. Moreover, we estimated breeding values of all the varieties through genomic prediction approach that could be beneficial for rice NUE enhancement.
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