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Impacts of dominance effects on genomic prediction of sorghum hybrid performance.

Authors
  • Ishimori, Motoyuki1
  • Hattori, Tomohiro1
  • Yamazaki, Kiyoshi1
  • Takanashi, Hideki1
  • Fujimoto, Masaru1
  • Kajiya-Kanegae, Hiromi1
  • Yoneda, Junichi2
  • Tokunaga, Tsuyoshi2
  • Fujiwara, Toru1
  • Tsutsumi, Nobuhiro1
  • Iwata, Hiroyoshi1
  • 1 Graduate School of Agricultural and Life Sciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo, Tokyo 113-8657, Japan. , (Japan)
  • 2 EARTHNOTE Co., Ltd., 1388 Sokei, Ginoza, Okinawa 904-1303, Japan. , (Japan)
Type
Published Article
Journal
Breeding science
Publication Date
Dec 01, 2020
Volume
70
Issue
5
Pages
605–616
Identifiers
DOI: 10.1270/jsbbs.20042
PMID: 33603557
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Non-additive (dominance and epistasis) effects have remarkable influences on hybrid performance, e.g., via heterosis. Nevertheless, only additive effects are often considered in genomic predictions (GP). In this study, we demonstrated the importance of dominance effects in the prediction of hybrid performance in bioenergy sorghum [Sorghum bicolor (L.) Moench]. The dataset contained more than 400 hybrids between 200 inbred lines and two testers. The hybrids exhibited considerable heterosis in culm length and fresh weight, and the degree of heterosis was consistent with the genetic distance from the corresponding tester. The degree of heterosis was further different among subpopulations. Conversely, Brix exhibited limited heterosis. Regarding GP, we examined three statistical models and four training dataset types. In most of the dataset types, genomic best linear unbiased prediction (GBLUP) with additive effects had lower prediction accuracy than GBLUP with additive and dominance effects (GBLUP-AD) and Gaussian kernel regression (GK). The superiority of GBLUP-AD and GK depended on the level of dominance variance, which was high for culm length and fresh weight, and low for Brix. Considering subpopulations, the influence of dominance was more complex. Our findings highlight the importance of considering dominance effects in GP models for sorghum hybrid breeding. Copyright © 2020 by JAPANESE SOCIETY OF BREEDING.

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