Abstract
Owing to recent developments in DNA sequencing technologies, whole-genome analysis of crop species has become a routine procedure. In order to improve local rice cultivars adapted to northern Japan, we are applying whole-genome analysis to identify and utilize useful alleles for crossbreeding. Here we show that large-scale generation of genetic resources combined with whole-genome analyses including MutMap and QTL-seq provides a powerful platform for the application of “next-generation breeding” in rice.
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References
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Acknowledgments
This study was supported by the grant from “Science and technology research promotion program for agriculture, forestry, fisheries and food industry.” We extend our gratitude to Dr. S. kuroda for a general support and Prof. T. Sasaki and Prof. M. Ashikari for improvement of the manuscript.
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Abe, A. et al. (2018). Next-Generation Breeding of Rice by Whole-Genome Approaches. In: Sasaki, T., Ashikari, M. (eds) Rice Genomics, Genetics and Breeding. Springer, Singapore. https://doi.org/10.1007/978-981-10-7461-5_26
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DOI: https://doi.org/10.1007/978-981-10-7461-5_26
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