論文

査読有り
2017年2月

Efficiency of genomic selection for breeding population design and phenotype prediction in tomato

HEREDITY
  • E. Yamamoto
  • ,
  • H. Matsunaga
  • ,
  • A. Onogi
  • ,
  • A. Ohyama
  • ,
  • K. Miyatake
  • ,
  • H. Yamaguchi
  • ,
  • T. Nunome
  • ,
  • H. Iwata
  • ,
  • H. Fukuoka

118
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
DOI
https://doi.org/10.1038/hdy.2016.84
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/27624117
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000394361600011&DestApp=WOS_CPL
ID情報
  • DOI : 10.1038/hdy.2016.84
  • ISSN : 0018-067X
  • eISSN : 1365-2540
  • PubMed ID : 27624117
  • Web of Science ID : WOS:000394361600011

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