Knowledge Center Catalog

Early stage sparse testing can increase selection accuracy and genetic gain in plant breeding programmes (Record no. 69657)

MARC details
000 -LEADER
fixed length control field 03706nam a22003737a 4500
001 - CONTROL NUMBER
control field 69657
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251203103315.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251201s2025 -uk||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Atlin, G.N.
9 (RLIN) 2252
245 10 - TITLE STATEMENT
Title Early stage sparse testing can increase selection accuracy and genetic gain in plant breeding programmes
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Edinburgh (CIMMYT) :
Name of publisher, distributor, etc. EUCARPIA Biometrics in Plant Breeding Local Organising Committee,
Date of publication, distribution, etc. 2025.
300 ## - PHYSICAL DESCRIPTION
Extent 1 page
500 ## - GENERAL NOTE
General note Presented at XIX Conference 2025, EUCARPIA: Biometrics Plant Breeding, 17-19 Sep, Edinburgh, UK.
520 ## - SUMMARY, ETC.
Summary, etc. Low-cost genome profiling allows information from relatives to be used to reduce replication of selection candidates while retaining selection accuracy, creating opportunities to redesign plant breeding pipelines. Early-stage sparse testing uses the genomic relationship matrix (GRM) to sample the target population of environments (TPE) more effectively by distributing related early-stage selection candidates across many testing locations to train a genomic selection (GS) model, rather than concentrating them in replicated trials at a few research stations. Using the GRM, data on related genotypes across farms can be connected and combined to enable genomic prediction across the entire TPE, not just a few sites. A similar redesign is possible in hybrid breeding programmes, where the GRM allows related selection candidates to be evaluated on several testers, permitting general combining ability (GCA) to be estimated early in the selection process. Simulations indicate that, if testing resources are held constant, sparse testing designs can increase selection accuracy both across environments and across testers. Apromising application of sparse testing is to move early-stage testing directly into farmers’ f ields. Most crop production in Sub-Saharan Africa (SSA) occurs on small farms characterized by low input use, multiple biotic and abiotic stresses, and diverse management factors. However, most CGIAR and national breeding programmes conduct early-stage phenotyping at only a few well-managed research stations. Early-stage on-farm sparse testing (OFST) addresses this issue by shifting the evaluation process from research stations to dozens or even hundreds of farms, treating each farm as an incomplete block. This can enhance genetic gain in farmers’ fields by increasing selection accuracy and intensity while shortening the generation interval. Early-stage OFST is currently being piloted in the CIMMYT maize and CIAT bean programmes in SSA.
546 ## - LANGUAGE NOTE
Language note Text in English
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
Source of heading or term
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 Genetic gain
Source of heading or term AGROVOC
9 (RLIN) 2091
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 Breeding programmes
Source of heading or term AGROVOC
9 (RLIN) 21704
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Early selection
Source of heading or term AGROVOC
9 (RLIN) 30704
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Burgueño, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number INT3239
9 (RLIN) 907
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Teshale Mamo
9 (RLIN) 40793
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Beyene, Y.
Miscellaneous information Global Maize Program
Field link and sequence number INT2891
9 (RLIN) 870
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dagne Wegary Gissa
Miscellaneous information Global Maize Program
Field link and sequence number INT3401
9 (RLIN) 952
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cairns, J.E.
Miscellaneous information Global Maize Program
Field link and sequence number INT2948
9 (RLIN) 879
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number 001712096
Personal name Chivasa, W.
Miscellaneous information Global Maize Program
9 (RLIN) 19858
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Zaman-Allah, M.
Miscellaneous information Global Maize Program
Field link and sequence number I1705364
9 (RLIN) 779
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number 001712518
Personal name Werner, C.R.
Miscellaneous information Excellence in Breeding
-- Breeding Modernization and Innovation Platform
9 (RLIN) 26661
773 ## - HOST ITEM ENTRY
Place, publisher, and date of publication Edinburgh (United Kingdom) : EUCARPIA Biometrics in Plant Breeding Local Organising Committee, 2025.
Related parts p. 20
Title XIX Conference 2025 EUCARPIA, Biometrics In plant breeding, 17-19 Sep 2025 Edinburgh, UK. : Book of abstracts
Record control number 69661
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Conference paper
Suppress in OPAC No
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
12/01/2025   12/01/2025 Conference paper Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 12/01/2025

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