Knowledge Center Catalog

Boosting genomic prediction transferability with sparse testing (Record no. 69094)

MARC details
000 -LEADER
fixed length control field 03572nab|a22004577a|4500
001 - CONTROL NUMBER
control field 69094
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251217112655.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20257s2025|||||sz ||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2073-4425 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3390/genes16070827
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 Montesinos-Lopez, O.A.
Miscellaneous information Genetic Resources Program
Field link and sequence number I1706800
9 (RLIN) 2700
245 10 - TITLE STATEMENT
Title Boosting genomic prediction transferability with sparse testing
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Basel (Switzerland) :
Name of publisher, distributor, etc. MDPI,
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/Objectives: Improving sparse testing is essential for enhancing the efficiency of genomic prediction (GP). Accordingly, new strategies are being explored to refine genomic selection (GS) methods under sparse testing conditions. Methods: In this study, a sparse testing approach was evaluated, specifically in the context of predicting performance for tested lines in untested environments. Sparse testing is particularly practical in large-scale breeding programs because it reduces the cost and logistical burden of evaluating every genotype in every environment, while still enabling accurate prediction through strategic data use. To achieve this, we used training data from CIMMYT (Obregon, Mexico), along with partial data from India, to predict line performance in India using observations from Mexico. Results: Our results show that incorporating data from Obregon into the training set improved prediction accuracy, with greater effectiveness when the data were temporally closer. Across environments, Pearson’s correlation improved by at least 219% (in a testing proportion of 50%), while gains in the percentage of matching in top 10% and 20% of top lines were 18.42% and 20.79%, respectively (also in a testing proportion of 50%). Conclusions: These findings emphasize that enriching training data with relevant, temporally proximate information is key to enhancing genomic prediction performance; conversely, incorporating unrelated data can reduce prediction accuracy.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Montesinos-Lopez, O.A. : No CIMMYT Affiliation
597 ## - CGIAR Initiative
CGIAR Initiative Accelerated Breeding
Donor or Funder Bill & Melinda Gates Foundation (BMGF)
-- Foreign, Commonwealth & Development Office (FCDO)
-- Accelerating Genetic Gains in Maize and Wheat (AGG)
-- United States Agency for International Development (USAID)
-- Centro Internacional de Mejoramiento de Maíz y Trigo (CIMMYT)
-- CGIAR Trust Fund
CGSpace handle https://hdl.handle.net/10568/176261
Program & Accelerators Breeding for Tomorrow
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 Testing
Source of heading or term AGROVOC
9 (RLIN) 12144
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 Environment
Source of heading or term AGROVOC
9 (RLIN) 1098
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number 001713327
Personal name Vitale, P.
Miscellaneous information Genetic Resources Program
9 (RLIN) 31497
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 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 Dreisigacker, S.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2692
9 (RLIN) 851
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 Delgado-Enciso, I.
9 (RLIN) 35028
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, A.
9 (RLIN) 2702
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Howard, R.
9 (RLIN) 7898
773 0# - HOST ITEM ENTRY
Title Genes
Related parts v. 16, no. 7, art. 827
Place, publisher, and date of publication Basel (Switzerland) : MDPI, 2025.
International Standard Serial Number r 2073-4425
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35824
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
08/04/2025   08/04/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 08/04/2025

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