ArticleBreeding science2015
Quantitative trait loci for rice blast resistance detected in a local rice breeding population by genome-wide association mapping.
Article in Breeding science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Defining genomic landscape for identification of potential candidate resistance genes associated with major rice diseases through MetaQTL analysis.Journal of biosciences · 2024Article
- GWAS analysis reveals the genetic basis of blast resistance associated with heading date in rice.Frontiers in plant science · 2024Article
- Advancement in the Breeding, Biotechnological and Genomic Tools towards Development of Durable Genetic Resistance against the Rice Blast Disease.Plants (Basel, Switzerland) · 2022Review
- Genome-wide association mapping for resistance to bacterial blight and bacterial leaf streak in rice.Planta · 2021Article
- Translation of continuous artificial selection on phenotype into genotype during rice breeding programs.Breeding science · 2021Article
- Marker-assisted selection in rice breeding programs in Hokkaido.Breeding science · 2019Review
- Introgression of the chromosomal region with the Pi-cd locus from Oryza meridionalis into O. sativa L. during rice domestication.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Gigwa-Genotype investigator for genome-wide analyses.GigaScience · 2016Article
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Authors and funding
8 authors.
Funding
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Abstract
Plant breeding programs aim to develop cultivars with high adaptability to the specific conditions in a local region. As a result, unique genes and gene combinations have been accumulated in local elite breeding populations during the long history of plant breeding. Genetic analyses on such genes and combinations may be useful for developing new cultivars with more-desirable agronomic traits. Here, we attempted to detect quantitative trait loci (QTL) for rice blast resistance (BR) using a local breeding rice population from Hokkaido, Japan. Using genotyping data on single nucleotide polymorphisms and simple sequence repeat markers distributed throughout the whole genomic region, we detected genetic regions associated with phenotypic variation in BR by a genome-wide association mapping study (GWAS). An additional association analysis using other breeding cultivars verified the effect and inheritance of the associated region. Furthermore, the existence of a gene for BR in the associated region was confirmed by QTL mapping. The results from these studies enabled us to estimate potential of the Hokkaido rice population as a gene pool for improving BR. The results of this study could be useful for developing novel cultivars with vigorous BR in rice breeding programs.
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