Knowledge Center Catalog

Expanding genomic prediction in plant breeding : (Record no. 68675)

MARC details
000 -LEADER
fixed length control field 03670nab|a22006617a|4500
001 - CONTROL NUMBER
control field 68675
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251215084505.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20251ss2025|||m-us||ppopp|||00||0|eengdd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1360-1385
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1878-4372 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.tplants.2024.12.009
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 Crossa, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number CCJL01
9 (RLIN) 59
245 10 - TITLE STATEMENT
Title Expanding genomic prediction in plant breeding :
Remainder of title harnessing big data, machine learning, and advanced software
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United States of America :
Name of publisher, distributor, etc. Elsevier Ltd.,
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. With growing evidence that genomic selection (GS) improves genetic gains in plant breeding, it is timely to review the key factors that improve its efficiency. In this feature review, we focus on the statistical machine learning (ML) methods and software that are democratizing GS methodology. We outline the principles of genomic-enabled prediction and discuss how statistical ML tools enhance GS efficiency with big data. Additionally, we examine various statistical ML tools developed in recent years for predicting traits across continuous, binary, categorical, and count phenotypes. We highlight the unique advantages of deep learning (DL) models used in genomic prediction (GP). Finally, we review software developed to democratize the use of GP models and recent data management tools that support the adoption of GS methodology.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Martini, J.W.R. : Not CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Costa-Neto, G. : Not CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Bentley, A.R. : Not CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Montesinos-Lopez, O.A. : Not CIMMYT Affiliation
597 ## - CGIAR Initiative
CGIAR Initiative Accelerated Breeding
Donor or Funder CGIAR Trust Fund
CGSpace handle https://hdl.handle.net/10568/173853
Program & Accelerators Breeding for Tomorrow
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Models
Source of heading or term AGROVOC
9 (RLIN) 4859
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 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 Software development
Source of heading or term AGROVOC
9 (RLIN) 3719
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 Statistical methods
Source of heading or term AGROVOC
9 (RLIN) 2624
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
Source of heading or term AGROVOC
9 (RLIN) 11127
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number 001712002
Personal name Martini, J.W.R.
Miscellaneous information Genetic Resources Program
9 (RLIN) 11082
700 1# - ADDED ENTRY--PERSONAL NAME
Field link and sequence number 001713327
Personal name Vitale, P.
Miscellaneous information Global Wheat Program
-- Genetic Resources Program
9 (RLIN) 31497
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Perez-Rodriguez, P.
9 (RLIN) 2703
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Costa-Neto, G.
Field link and sequence number 001712813
Miscellaneous information Genetic Resources Program
9 (RLIN) 15939
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fritsche-Neto, R.
9 (RLIN) 6507
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Runcie, D.E.
9 (RLIN) 23719
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cuevas, J.
9 (RLIN) 4437
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 Huihui Li
Miscellaneous information Genetic Resources Program
Field link and sequence number CLIH01
9 (RLIN) 764
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name De Vita, P.
9 (RLIN) 25216
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 Dreisigacker, S.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2692
9 (RLIN) 851
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 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 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 Lillemo, M.
9 (RLIN) 1659
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ortiz, R.
9 (RLIN) 5322
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 Montesinos-Lopez, A.
9 (RLIN) 2702
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication United States of America : Elsevier Ltd., 2025.
Title Trends in Plant Science
Related parts v. 30, no. 7, p. 756-774
Record control number G93809
International Standard Serial Number 1360-1385
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35536
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
03/02/2025   03/02/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 03/02/2025

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