Genomic Prediction of Resistance to Tan Spot, Spot Blotch and Septoria Nodorum Blotch in Synthetic Hexaploid Wheat.
breeding values
genomic selection
pedigree and genomic relationship matrices
wheat diseases
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
22 Jun 2023
22 Jun 2023
Historique:
received:
12
05
2023
revised:
09
06
2023
accepted:
20
06
2023
medline:
17
7
2023
pubmed:
14
7
2023
entrez:
14
7
2023
Statut:
epublish
Résumé
Genomic prediction combines molecular and phenotypic data in a training population to predict the breeding values of individuals that have only been genotyped. The use of genomic information in breeding programs helps to increase the frequency of favorable alleles in the populations of interest. This study evaluated the performance of BLUP (Best Linear Unbiased Prediction) in predicting resistance to tan spot, spot blotch and Septoria nodorum blotch in synthetic hexaploid wheat. BLUP was implemented in single-trait and multi-trait models with three variations: (1) the pedigree relationship matrix (A-BLUP), (2) the genomic relationship matrix (G-BLUP), and (3) a combination of the two matrices (A+G BLUP). In all three diseases, the A-BLUP model had a lower performance, and the G-BLUP and A+G BLUP were statistically similar (
Identifiants
pubmed: 37445683
pii: ijms241310506
doi: 10.3390/ijms241310506
pmc: PMC10342098
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Bill and Melinda Gates Foundation
ID : [INV-003439, BMGF/FCDO, Accelerating Genetic Gains in Maize and Wheat for Improved Live-lihoods (AG2MW)]
Références
Theor Appl Genet. 2022 Jun;135(6):1965-1983
pubmed: 35416483
BMC Genomics. 2018 Aug 6;19(1):591
pubmed: 30081829
Trends Plant Sci. 2017 Nov;22(11):961-975
pubmed: 28965742
Genes (Basel). 2022 Mar 23;13(4):
pubmed: 35456370
Genes (Basel). 2022 Aug 04;13(8):
pubmed: 36011298
Theor Appl Genet. 2019 Jul;132(7):2055-2067
pubmed: 30968160
Genetics. 2010 Oct;186(2):713-24
pubmed: 20813882
Genetics. 2013 Feb;193(2):347-65
pubmed: 23222650
G3 (Bethesda). 2021 Sep 27;11(10):
pubmed: 34568924
BMC Genomics. 2014 Aug 29;15:740
pubmed: 25174348
Front Genet. 2016 Dec 27;7:221
pubmed: 28083016
Front Plant Sci. 2020 Aug 28;11:1309
pubmed: 32983199
Genetics. 2022 Aug 30;222(1):
pubmed: 35924977
G3 (Bethesda). 2018 Aug 30;8(9):2889-2899
pubmed: 29970398
G3 (Bethesda). 2020 Mar 5;10(3):1113-1124
pubmed: 31974097
Annu Rev Phytopathol. 2016 Aug 4;54:79-98
pubmed: 27491433
Mol Plant Pathol. 2006 May 1;7(3):147-56
pubmed: 20507435
Plants (Basel). 2022 Feb 05;11(3):
pubmed: 35161413
Essays Biochem. 2022 Sep 30;66(5):571-580
pubmed: 35912968
Plant Genome. 2017 Jul;10(2):
pubmed: 28724084
Plant Sci. 2016 Jan;242:23-36
pubmed: 26566822
Genetics. 2014 Oct;198(2):483-95
pubmed: 25009151
PLoS One. 2016 Sep 22;11(9):e0162860
pubmed: 27656893
Front Plant Sci. 2022 Feb 24;13:788593
pubmed: 35283883