TY - JOUR
T1 - Integration of genomics into rice breeding
AU - Fukuoka, Shuichi
AU - Ebana, Kaworu
AU - Yamamoto, Toshio
AU - Yano, Masahiro
N1 - Funding Information:
Acknowledgements We thank members of the QTL Genomics Research Center (QTL-GRC) at NIAS for helpful discussions and suggestions in the preparation of this manuscript. Work in QTL-GRC is supported by funds (Integrated Research Project for Plant, Insect and Animals Using Genome Technology and Genomics for Agricultural Innovation, QTL-2001, NVR-0001, NVR-0002) from the Ministry of Agriculture, Forestry and Fisheries, Japan.
PY - 2010/9
Y1 - 2010/9
N2 - One of the major challenges in genetics has been to identify the nucleotide polymorphisms responsible for phenotypic variation. Through intensive analysis, several major quantitative trait loci (QTLs) for agronomic traits in rice have been identified and the underlying candidate genes have been delimited. Advanced mapping populations, including chromosome segment substitution lines, have enhanced the power of genetic analysis to detect QTL alleles, even those with minor effects. Recent examples of marker-assisted selection have proven the potential of this strategy for crop improvement. The genome-wide discovery of single nucleotide polymorphisms (SNPs), even among closely related cultivars, has enhanced the power of allele mining in a wide range of rice breeding materials. An arraybased SNP genotyping system can be used to visualize pedigree haplotypes in breeding materials, including landraces and modern cultivars. All of these technologies are accelerating the genetic dissection of complex agronomic traits and further improvement of rice.
AB - One of the major challenges in genetics has been to identify the nucleotide polymorphisms responsible for phenotypic variation. Through intensive analysis, several major quantitative trait loci (QTLs) for agronomic traits in rice have been identified and the underlying candidate genes have been delimited. Advanced mapping populations, including chromosome segment substitution lines, have enhanced the power of genetic analysis to detect QTL alleles, even those with minor effects. Recent examples of marker-assisted selection have proven the potential of this strategy for crop improvement. The genome-wide discovery of single nucleotide polymorphisms (SNPs), even among closely related cultivars, has enhanced the power of allele mining in a wide range of rice breeding materials. An arraybased SNP genotyping system can be used to visualize pedigree haplotypes in breeding materials, including landraces and modern cultivars. All of these technologies are accelerating the genetic dissection of complex agronomic traits and further improvement of rice.
KW - Genetic mapping
KW - Haplotype
KW - Marker-assisted selection
KW - Quantitative trait locus
KW - Single-nucleotide polymorphism
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U2 - 10.1007/s12284-010-9044-9
DO - 10.1007/s12284-010-9044-9
M3 - Article
AN - SCOPUS:78751481935
VL - 3
SP - 131
EP - 137
JO - Rice
JF - Rice
SN - 1939-8425
IS - 2-3
ER -