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Open AccessReview

Application of Genomic Big Data in Plant Breeding: Past, Present, and Future

by 1,†, 2,† and 2,3,*
1
Department of Bioscience and Bioinformatics, Myongji University, Yongin 17058, Korea
2
Department of Crop Science, Chungnam National University, Daejeon 34134, Korea
3
Department of Smart Agriculture Systems, Chungnam National University, Daejeon 34134, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Plants 2020, 9(11), 1454; https://doi.org/10.3390/plants9111454
Received: 28 September 2020 / Revised: 26 October 2020 / Accepted: 26 October 2020 / Published: 28 October 2020
(This article belongs to the Special Issue Crop Genomics and Breeding)
Plant breeding has a long history of developing new varieties that have ensured the food security of the human population. During this long journey together with humanity, plant breeders have successfully integrated the latest innovations in science and technologies to accelerate the increase in crop production and quality. For the past two decades, since the completion of human genome sequencing, genomic tools and sequencing technologies have advanced remarkably, and adopting these innovations has enabled us to cost down and/or speed up the plant breeding process. Currently, with the growing mass of genomic data and digitalized biological data, interdisciplinary approaches using new technologies could lead to a new paradigm of plant breeding. In this review, we summarize the overall history and advances of plant breeding, which have been aided by plant genomic research. We highlight the key advances in the field of plant genomics that have impacted plant breeding over the past decades and introduce the current status of innovative approaches such as genomic selection, which could overcome limitations of conventional breeding and enhance the rate of genetic gain. View Full-Text
Keywords: next-generation sequencing; single nucleotide polymorphism; marker-trait association; genomic selection; marker-assisted selection next-generation sequencing; single nucleotide polymorphism; marker-trait association; genomic selection; marker-assisted selection
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MDPI and ACS Style

Kim, K.D.; Kang, Y.; Kim, C. Application of Genomic Big Data in Plant Breeding: Past, Present, and Future. Plants 2020, 9, 1454.

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