Knowledge Center Catalog

Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes (Record no. 69735)

MARC details
000 -LEADER
fixed length control field 03339nab|a22004097a|4500
001 - CONTROL NUMBER
control field 69735
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260107133341.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 202512s2025||||-uk|||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1471-2164
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1186/s12864-025-12395-y
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Su Myat Noe
9 (RLIN) 39576
245 10 - TITLE STATEMENT
Title Comparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. London (United Kingdom) :
Name of publisher, distributor, etc. BioMed Central Ltd.,
Date of publication, distribution, etc. 2025.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Background: Barley is one of the most widely cultivated cereals worldwide, and powdery mildew is among the major diseases threatening global barley production. Our study evaluated 370 spring barley breeding lines under controlled greenhouse growth conditions. Results: Using genome-wide association study (GWAS), 21 quantitative trait loci (QTL) were identified associated with seedling-stage powdery mildew resistance. Of these, eight were newly identified in this study. Genetic merit was also calculated using major-effect markers, and a positive correlation (> 0.7) was observed between the genetic merit and BLUP (AUDPC) values in both the two subpopulations of two- and six-row barley. While evaluating the performance of genomic prediction (GP) models, a GWAS-incorporated GP model consistently outperformed the Standard GP model in both subpopulations demonstrating the advantage of incorporating major-effect markers for a more accurate prediction. Our analysis of genotype selection patterns revealed a notable degree of agreement among the tested methods. In the two-row subpopulation, a large number of genotypes were exclusively selected by weighted marker-assisted selection (wMAS) revealing the dominance of major-effect QTL. In contrast, the six-row subpopulation had a smaller wMAS-exclusive group, suggesting a more polygenic background, which was captured by genomic prediction. Additionally, genomics-based methods consistently identified resistant genotypes that were overlooked by phenotypic selection, showing their ability to detect hidden genetic potential. Conclusions: Overall, GWAS-incorporated GP model demonstrated the best performance among the evaluated methods, suggesting this approach is the most effective with a potential to contribute to efficient breeding of powdery mildew resistance in spring barley.
546 ## - LANGUAGE NOTE
Language note Text in English
597 ## - CGIAR Initiative
Donor or Funder Swedish University of Agricultural Sciences (SLU)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genome-wide association studies
9 (RLIN) 31443
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Marker-assisted selection
Source of heading or term AGROVOC
9 (RLIN) 10737
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genomics
Source of heading or term AGROVOC
9 (RLIN) 1132
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forecasting
Source of heading or term AGROVOC
9 (RLIN) 2701
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Barley
Source of heading or term AGROVOC
9 (RLIN) 1018
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Powdery mildews
Source of heading or term AGROVOC
9 (RLIN) 5953
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Best linear unbiased predictor
Source of heading or term AGROVOC
9 (RLIN) 26493
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pawan Kumar Singh
Miscellaneous information Global Wheat Program
Field link and sequence number INT2868
9 (RLIN) 868
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Odilbekov, F.
9 (RLIN) 10674
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Johansson, E.
9 (RLIN) 39578
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chawade, A.
9 (RLIN) 7735
773 0# - HOST ITEM ENTRY
Title BMC Genomics
Related parts v. 26, no. 1, art. 1091
Place, publisher, and date of publication London (United Kingdom) : BioMed Central Ltd., 2025.
International Standard Serial Number 1471-2164
Record control number 56896
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/36646
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
12/22/2025   12/22/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 12/22/2025

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