Knowledge Center Catalog

Optimizing sparse testing for genomic prediction of plant breeding crops (Record no. 66317)

MARC details
000 -LEADER
fixed length control field 03868nab|a22004817a|4500
001 - CONTROL NUMBER
control field 66317
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021234.0
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 2073-4425
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3390/genes14040927
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.
Field link and sequence number I1706800
9 (RLIN) 2700
Miscellaneous information Genetic Resources Program
245 10 - TITLE STATEMENT
Title Optimizing sparse testing for genomic prediction of plant breeding crops
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. MDPI,
Date of publication, distribution, etc. 2023.
Place of publication, distribution, etc. Basel (Switzerland) :
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. While sparse testing methods have been proposed by researchers to improve the efficiency of genomic selection (GS) in breeding programs, there are several factors that can hinder this. In this research, we evaluated four methods (M1–M4) for sparse testing allocation of lines to environments under multi-environmental trails for genomic prediction of unobserved lines. The sparse testing methods described in this study are applied in a two-stage analysis to build the genomic training and testing sets in a strategy that allows each location or environment to evaluate only a subset of all genotypes rather than all of them. To ensure a valid implementation, the sparse testing methods presented here require BLUEs (or BLUPs) of the lines to be computed at the first stage using an appropriate experimental design and statistical analyses in each location (or environment). The evaluation of the four cultivar allocation methods to environments of the second stage was done with four data sets (two large and two small) under a multi-trait and uni-trait framework. We found that the multi-trait model produced better genomic prediction (GP) accuracy than the uni-trait model and that methods M3 and M4 were slightly better than methods M1 and M2 for the allocation of lines to environments. Some of the most important findings, however, were that even under a scenario where we used a training-testing relation of 15–85%, the prediction accuracy of the four methods barely decreased. This indicates that genomic sparse testing methods for data sets under these scenarios can save considerable operational and financial resources with only a small loss in precision, which can be shown in our cost-benefit analysis.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Montesinos-Lopez, O.A. : No CIMMYT Affiliation
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Source of heading or term AGROVOC
9 (RLIN) 1173
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 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 Plant breeding
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1203
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Crops
Source of heading or term AGROVOC
9 (RLIN) 1069
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Saint Pierre, C.
Field link and sequence number INT2731
9 (RLIN) 855
Miscellaneous information Global Wheat Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gezan, S.A.
9 (RLIN) 31067
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bentley, A.R.
Field link and sequence number 001712492
Miscellaneous information Formerly Global Wheat Program
9 (RLIN) 9599
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mosqueda-Gonzalez, B.A.
9 (RLIN) 19441
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, A.
9 (RLIN) 2702
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Eeuwijk, F.A. van
9 (RLIN) 9549
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Beyene, Y.
Field link and sequence number INT2891
9 (RLIN) 870
Miscellaneous information Global Maize Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gowda, M.
Field link and sequence number I1705963
9 (RLIN) 795
Miscellaneous information Global Maize Program
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 Gerard, G.S.
Field link and sequence number 1713398
9 (RLIN) 11490
Miscellaneous information Global Wheat Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Crespo-Herrera, L.A.
Field link and sequence number I1706538
9 (RLIN) 2608
Miscellaneous information Global Wheat Program
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 Genes
Related parts v. 14, no. 4, art. 927
Place, publisher, and date of publication Basel (Switzerland) : MDPI, 2023
International Standard Serial Number 2073-4425
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/22625
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
06/16/2023   06/16/2023 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 06/16/2023

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