Genomic prediction and selection response for grain yield in safflower.
genomic selection
grain yield
multivariate
safflower
selection response
Journal
Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621
Informations de publication
Date de publication:
2023
2023
Historique:
received:
21
12
2022
accepted:
13
03
2023
medline:
14
4
2023
entrez:
13
4
2023
pubmed:
14
4
2023
Statut:
epublish
Résumé
In plant breeding programs, multiple traits are recorded in each trial, and the traits are often correlated. Correlated traits can be incorporated into genomic selection models, especially for traits with low heritability, to improve prediction accuracy. In this study, we investigated the genetic correlation between important agronomic traits in safflower. We observed the moderate genetic correlations between grain yield (GY) and plant height (PH, 0.272-0.531), and low correlations between grain yield and days to flowering (DF, -0.157-0.201). A 4%-20% prediction accuracy improvement for grain yield was achieved when plant height was included in both training and validation sets with multivariate models. We further explored the selection responses for grain yield by selecting the top 20% of lines based on different selection indices. Selection responses for grain yield varied across sites. Simultaneous selection for grain yield and seed oil content (OL) showed positive gains across all sites with equal weights for both grain yield and oil content. Combining g×E interaction into genomic selection (GS) led to more balanced selection responses across sites. In conclusion, genomic selection is a valuable breeding tool for breeding high grain yield, oil content, and highly adaptable safflower varieties.
Identifiants
pubmed: 37051598
doi: 10.3389/fgene.2023.1129433
pii: 1129433
pmc: PMC10083426
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1129433Informations de copyright
Copyright © 2023 Zhao, Lin, Khansefid, Tibbits and Hayden.
Déclaration de conflit d'intérêts
Authors HZ, ZL, MK, JT, and MH were employed by Agriculture Victoria.
Références
G3 (Bethesda). 2021 Sep 27;11(10):
pubmed: 34568924
Front Plant Sci. 2020 Aug 07;11:1197
pubmed: 32849742
Genetics. 1943 Nov;28(6):476-90
pubmed: 17247099
G3 (Bethesda). 2020 Mar 5;10(3):1113-1124
pubmed: 31974097
Heredity (Edinb). 2019 May;122(5):672-683
pubmed: 30262841
Front Plant Sci. 2021 Aug 18;12:709545
pubmed: 34490011
Annu Rev Anim Biosci. 2013 Jan;1:221-37
pubmed: 25387018
J Anim Breed Genet. 2007 Dec;124(6):331-41
pubmed: 18076470
J Exp Bot. 2017 May 17;68(11):2641-2666
pubmed: 28830098
Rice (N Y). 2022 Mar 5;15(1):14
pubmed: 35247120
Plant Genome. 2020 Mar;13(1):e20002
pubmed: 33016638
G3 (Bethesda). 2015 Sep 15;5(11):2383-90
pubmed: 26377960
Theor Appl Genet. 2019 Jun;132(6):1705-1720
pubmed: 30778634
Plant Genome. 2016 Mar;9(1):
pubmed: 27898764
Genes (Basel). 2020 Jan 05;11(1):
pubmed: 31948110
Theor Appl Genet. 2018 Mar;131(3):703-720
pubmed: 29264625
BMC Genomics. 2014 Aug 29;15:740
pubmed: 25174348
Heredity (Edinb). 2020 Dec;125(6):375-385
pubmed: 32296132
Front Plant Sci. 2021 Feb 16;12:591587
pubmed: 33664755
Genetics. 2012 Dec;192(4):1513-22
pubmed: 23086217
G3 (Bethesda). 2015 Aug 18;5(10):2155-64
pubmed: 26290571
Field Crops Res. 2021 Jan 1;260:107977
pubmed: 33390645
Plant Genome. 2021 Mar;14(1):e20064
pubmed: 33140563
Genetics. 2001 Apr;157(4):1819-29
pubmed: 11290733
G3 (Bethesda). 2016 Sep 08;6(9):2799-808
pubmed: 27402362
Front Plant Sci. 2022 Jun 28;13:923381
pubmed: 35837454
Theor Appl Genet. 2016 Oct;129(10):1901-13
pubmed: 27389871
J Anim Breed Genet. 2015 Apr;132(2):89-99
pubmed: 25823835
J Anim Breed Genet. 2006 Aug;123(4):218-23
pubmed: 16882088
PLoS One. 2020 Apr 28;15(4):e0221603
pubmed: 32343696
Front Plant Sci. 2019 Jul 31;10:997
pubmed: 31417601
Genetics. 2013 Feb;193(2):327-45
pubmed: 22745228
Theor Appl Genet. 2021 Dec;134(12):4025-4042
pubmed: 34618174
Theor Appl Genet. 2019 Jun;132(6):1745-1760
pubmed: 30810763
Plant Genome. 2020 Nov;13(3):e20035
pubmed: 33217198
Plant Genome. 2015 Jul;8(2):eplantgenome2014.10.0074
pubmed: 33228306