Knowledge Center Catalog

Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat (Record no. 66232)

MARC details
000 -LEADER
fixed length control field 03197nab|a22004097a|4500
001 - CONTROL NUMBER
control field 66232
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230818155500.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20234s2023||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0040-5752
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1432-2242 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s00122-023-04352-8
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Alemu, A.
9 (RLIN) 11491
245 10 - TITLE STATEMENT
Title Haplotype-tagged SNPs improve genomic prediction accuracy for Fusarium head blight resistance and yield-related traits in wheat
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer Verlag,
Date of publication, distribution, etc. 2023.
Place of publication, distribution, etc. Berlin (Germany) :
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Genomic prediction is a powerful tool to enhance genetic gain in plant breeding. However, the method is accompanied by various complications leading to low prediction accuracy. One of the major challenges arises from the complex dimensionality of marker data. To overcome this issue, we applied two pre-selection methods for SNP markers viz. LD-based haplotype-tagging and GWAS-based trait-linked marker identification. Six different models were tested with preselected SNPs to predict the genomic estimated breeding values (GEBVs) of four traits measured in 419 winter wheat genotypes. Ten different sets of haplotype-tagged SNPs were selected by adjusting the level of LD thresholds. In addition, various sets of trait-linked SNPs were identified with different scenarios from the training-test combined and only from the training populations. The BRR and RR-BLUP models developed from haplotype-tagged SNPs had a higher prediction accuracy for FHB and SPW by 0.07 and 0.092, respectively, compared to the corresponding models developed without marker pre-selection. The highest prediction accuracy for SPW and FHB was achieved with tagged SNPs pruned at weak LD thresholds (r2 < 0.5), while stringent LD was required for spike length (SPL) and flag leaf area (FLA). Trait-linked SNPs identified only from training populations failed to improve the prediction accuracy of the four studied traits. Pre-selection of SNPs via LD-based haplotype-tagging could play a vital role in optimizing genomic selection and reducing genotyping costs. Furthermore, the method could pave the way for developing low-cost genotyping methods through customized genotyping platforms targeting key SNP markers tagged to essential haplotype blocks.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Breeding
Source of heading or term AGROVOC
9 (RLIN) 1029
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Fusarium
Source of heading or term AGROVOC
9 (RLIN) 2705
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic linkage
Source of heading or term AGROVOC
9 (RLIN) 10050
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic markers
Source of heading or term AGROVOC
9 (RLIN) 1848
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genotypes
Source of heading or term AGROVOC
9 (RLIN) 1134
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Leaf area
Source of heading or term AGROVOC
9 (RLIN) 27935
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Single nucleotide polymorphisms
Miscellaneous information AGROVOC
9 (RLIN) 10805
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wheat
Source of heading or term AGROVOC
9 (RLIN) 1310
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Batista, L.
9 (RLIN) 30680
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 Ceplitis, A.
9 (RLIN) 30681
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chawade, A.
9 (RLIN) 7735
773 0# - HOST ITEM ENTRY
Title Theoretical and Applied Genetics
Related parts v. 136, no. 4, art. 92
Place, publisher, and date of publication Berlin (Germany) : Springer Verlag, 2023
Record control number G444762
International Standard Serial Number 0040-5752
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/22571
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
04/11/2023   04/11/2023 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/11/2023

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