Knowledge Center Catalog

Improving wheat grain yield genomic prediction accuracy using historical data (Record no. 68736)

MARC details
000 -LEADER
fixed length control field 04235nab|a22005297a|4500
001 - CONTROL NUMBER
control field 68736
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251223170053.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20254s22025||||-us||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2160-1836
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1093/g3journal/jkaf038
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
Field link and sequence number 001713327
Personal name Vitale, P.
Miscellaneous information Global Wheat Program
-- Genetic Resources Program
9 (RLIN) 31497
245 10 - TITLE STATEMENT
Title Improving wheat grain yield genomic prediction accuracy using historical data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bethesda, MD (United States of America) :
Name of publisher, distributor, etc. Oxford University Press,
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. Genomic selection is an essential tool to improve genetic gain in wheat breeding. This study aimed to enhance prediction accuracy for grain yield across various selection environments using CIMMYT's (International Maize and Wheat Improvement Center) historical dataset. Ten years of grain yield data from 6 selection environments were analyzed, with the populations of 5 years (2018-2023) as the validation population and earlier years (back to 2013-2014) as the training population. Generally, we observed that as the number of training years increased, the prediction accuracy tended to improve or stabilize. For instance, in the late heat stress selection environment (beds late heat stress), prediction accuracy increased from 0.11 (1 training year) to 0.23 (5 years), stabilizing at 0.26. Similar trends were observed in the intermediate drought selection environment (beds with 2 irrigations), with prediction accuracy rising from 0.12 (1 year) to 0.21 (4 years) but minimal improvement beyond that. Conversely, some selection environments, such as flat 5 irrigations (flat optimal environment), did not significantly increase, with the prediction accuracy fluctuating around 0.09-0.14 regardless of the number of training years used. Additionally, average genetic diversity within the training population and the validation population influenced prediction accuracy. Indeed, a negative correlation between prediction accuracy and the genetic distance was observed. This highlights the need to balance genetic diversity to enhance the predictive power of genomic selection models. These findings exhibit the benefits of using an extended historical dataset while considering genetic diversity to maximize prediction accuracy in genomic selection strategies for wheat breeding, ultimately supporting the development of high-yielding varieties.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Montesinos-Lopez, O.A. ; Not in IRS staff list but CIMMYT Affiliation
597 ## - CGIAR Initiative
Donor or Funder Bill & Melinda Gates Foundation (BMGF)
-- Accelerating Genetic Gains in Maize and Wheat (AGG)
Program & Accelerators Breeding for Tomorrow
CGSpace handle https://hdl.handle.net/10568/179135
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 Plant breeding
Source of heading or term AGROVOC
9 (RLIN) 1203
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
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data
Source of heading or term AGROVOC
9 (RLIN) 9002
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Grain
Source of heading or term AGROVOC
9 (RLIN) 1138
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Yields
Source of heading or term AGROVOC
9 (RLIN) 1313
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, O.A.
Miscellaneous information Genetic Resources Program
Field link and sequence number I1706800
9 (RLIN) 2700
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gerard, G.S.
Field link and sequence number 1713398
Miscellaneous information Global Wheat Program
9 (RLIN) 11490
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Velu, G.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2983
9 (RLIN) 880
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tarekegn, Z.T.
Field link and sequence number 001713397
Miscellaneous information Global Wheat Program
9 (RLIN) 31150
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, A.
9 (RLIN) 2702
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dreisigacker, S.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2692
9 (RLIN) 851
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pacheco Gil, R.A.
Field link and sequence number N1705917
Miscellaneous information Genetic Resources Program
9 (RLIN) 6455
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Toledo, F.H.
Miscellaneous information Genetic Resources Program
Field link and sequence number I1706676
9 (RLIN) 1999
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Saint Pierre, C.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2731
9 (RLIN) 855
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Perez-Rodriguez, P.
9 (RLIN) 2703
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gardner, K.A.
Field link and sequence number 001712617
Miscellaneous information Genetic Resources Program
9 (RLIN) 17393
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crespo-Herrera, L.A.
Miscellaneous information Global Wheat Program
Field link and sequence number I1706538
9 (RLIN) 2608
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
773 0# - HOST ITEM ENTRY
Title G3: Genes, Genomes, Genetics
Place, publisher, and date of publication Bethesda, MD (United States of America) : Oxford University Press, 2025
International Standard Serial Number 2160-1836
Related parts v. 15, no. 4, art. jkaf038
Record control number 56922
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35621
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
04/13/2025   04/13/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/13/2025

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