ArticleBreeding science2013
Population structure in Japanese rice population.
Article in Breeding science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 45 citations in OpenAlex.
- Modern Japanese rice cultivars often carry a nonautonomous retrotransposon-insertion mutation at the pathogenesis-related 1b protein gene locus causing reduced resistance to Pyricularia oryzae.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- QTN detection and candidate gene identification for improved eating and cooking quality in rice using GWAS and PLS regression analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Article
- Uncovering the breeding contribution of transposable elements from landraces to improved varieties through pan-genome-wide analysis in rice.Frontiers in plant science · 2025Article
- Assessing the Genetic Diversity of Parents for Developing Hybrids Through Morphological and Molecular Markers in Rice (Oryza sativa L.).Rice (New York, N.Y.) · 2024Article
- High-Density Linkage Maps from Japanese RicePlants (Basel, Switzerland) · 2023Article
- Genetic variation of rice (Breeding science · 2020Article
- Characterization of genetic diversity and population structure in wheat using array based SNP markers.Molecular biology reports · 2020Article
- Predicting Rice Heading Date Using an Integrated Approach Combining a Machine Learning Method and a Crop Growth Model.Frontiers in genetics · 2020Article
- Genetic variation of blast (Breeding science · 2019Article
- Variability Assessment for Root and Drought Tolerance Traits and Genetic Diversity Analysis of Rice Germplasm using SSR Markers.Scientific reports · 2019Article
- Genetic and phenotypic assessment of sugar beet (Breeding science · 2019Article
- Identification of QTLs for rice grain size using a novel set of chromosomal segment substitution lines derived from Yamadanishiki in the genetic background of Koshihikari.Breeding science · 2018Article
- Genetic variation of rice (Breeding science · 2016Article
- Nineteenth century French rose (Rosa sp.) germplasm shows a shift over time from a European to an Asian genetic background.Journal of experimental botany · 2016Article
- Variation in cooking and eating quality traits in Japanese rice germplasm accessions.Breeding science · 2016Article
- Island-Model Genomic Selection for Long-Term Genetic Improvement of Autogamous Crops.PloS one · 2016Article
- Quantitative trait loci for rice blast resistance detected in a local rice breeding population by genome-wide association mapping.Breeding science · 2015Article
- Natural Variation in the Flag Leaf Morphology of Rice Due to a Mutation of the NARROW LEAF 1 Gene in Oryza sativa L.Genetics · 2015Article
- PCR-based INDEL markers co-dominant between Oryza sativa, japonica cultivars and closely-related wild Oryza species.Breeding science · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is essential to elucidate genetic diversity and relationships among even related individuals and populations for plant breeding and genetic analysis. Since Japanese rice breeding has improved agronomic traits such as yield and eating quality, modern Japanese rice cultivars originated from narrow genetic resource and closely related. To resolve the population structure and genetic diversity in Japanese rice population, we used a total of 706 alleles detected by 134 simple sequence repeat markers in a total of 114 cultivars composed of 94 improved varieties and 20 landraces, which are representative and important for Japanese rice breeding. The landraces exhibit greater gene diversity than improved lines, suggesting that landraces can provide additional genetic diversity for future breeding. Model-based Bayesian clustering analysis revealed six subgroups and admixture situation in the cultivars, showing good agreement with pedigree information. This method could be superior to phylogenetic method in classifying a related population. The leading Japanese rice cultivar, Koshihikari is unique due to the specific genome constitution. We defined Japanese rice diverse sets that capture the maximum number of alleles for given sample sizes. These sets are useful for a variety of genetic application in Japanese rice cultivars.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.