2017年2月
Efficiency of genomic selection for breeding population design and phenotype prediction in tomato
HEREDITY
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- 巻
- 118
- 号
- 2
- 開始ページ
- 202
- 終了ページ
- 209
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1038/hdy.2016.84
- 出版者・発行元
- NATURE PUBLISHING GROUP
Genomic selection (GS), which uses estimated genetic potential based on genome-wide genotype data for a breeding selection, is now widely accepted as an efficient method to improve genetically complex traits. We assessed the potential of GS for increasing soluble solids content and total fruit weight of tomato. A collection of big-fruited F-1 varieties was used to construct the GS models, and the progeny from crosses was used to validate the models. The present study includes two experiments: a prediction of a parental combination that generates superior progeny and the prediction of progeny phenotypes. The GS models successfully predicted a better parent even if the phenotypic value did not vary substantially between candidates. The GS models also predicted phenotypes of progeny, although their efficiency varied depending on the parental cross combinations and the selected traits. Although further analyses are required to apply GS in an actual breeding situation, our results indicated that GS is a promising strategy for future tomato breeding design.
- リンク情報
- ID情報
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- DOI : 10.1038/hdy.2016.84
- ISSN : 0018-067X
- eISSN : 1365-2540
- PubMed ID : 27624117
- Web of Science ID : WOS:000394361600011