https://scholars.lib.ntu.edu.tw/handle/123456789/572962
標題: | Identification of superior parental lines for biparental crossing via genomic prediction | 作者: | Chung, Ping-Yuan CHEN-TUO LIAO |
關鍵字: | article; breeding; genetic gain; human; inbred strain; nonhuman; prediction; progeny; quantitative analysis; rice; biological model; genetic selection; genetic variation; genetics; Oryza; plant breeding; plant genome; procedures; Genetic Variation; Genome, Plant; Models, Genetic; Oryza; Plant Breeding; Selection, Genetic | 公開日期: | 2020 | 卷: | 15 | 期: | 12 | 來源出版物: | PLoS ONE | 摘要: | A parental selection approach based on genomic prediction has been developed to help plant breeders identify a set of superior parental lines from a candidate population before conducting field trials. A classical parental selection approach based on genomic prediction usually involves truncation selection, i.e., selecting the top fraction of accessions on the basis of their genomic estimated breeding values (GEBVs). However, truncation selection inevitably results in the loss of genomic diversity during the breeding process. To preserve genomic diversity, the selection of closely related accessions should be avoided during parental selection. We thus propose a new index to quantify the genomic diversity for a set of candidate accessions, and analyze two real rice (Oryza sativa L.) genome datasets to compare several selection strategies. Our results showed that the pure truncation selection strategy produced the best starting breeding value but the least genomic diversity in the base population, leading to less genetic gain. On the other hand, strategies that considered only genomic diversity resulted in greater genomic diversity but less favorable starting breeding values, leading to more genetic gain but unsatisfactorily performing recombination inbred lines (RILs) in progeny populations. Among all strategies investigated in this study, compromised strategies, which considered both GEBVs and genomic diversity, produced the best or second-best performing RILs mainly because these strategies balance the starting breeding value with the maintenance of genomic diversity. ? 2020 Chung, Liao. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097122827&doi=10.1371%2fjournal.pone.0243159&partnerID=40&md5=8a840682b6a37e4ec0cf5111ed8b2980 https://scholars.lib.ntu.edu.tw/handle/123456789/572962 |
ISSN: | 1932-6203 | DOI: | 10.1371/journal.pone.0243159 |
顯示於: | 農藝學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。