Knowledge Center Catalog

Deep learning methods improve genomic prediction of wheat breeding (Record no. 67343)

MARC details
000 -LEADER
fixed length control field 03846nab|a22005297a|4500
001 - CONTROL NUMBER
control field 67343
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241125142816.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20243s2024||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1664-462X (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.3389/fpls.2024.1324090
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, A.
9 (RLIN) 2702
245 10 - TITLE STATEMENT
Title Deep learning methods improve genomic prediction of wheat breeding
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Frontiers Media S.A.,
Date of publication, distribution, etc. 2024.
Place of publication, distribution, etc. Switzerland :
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. In the field of plant breeding, various machine learning models have been developed and studied to evaluate the genomic prediction (GP) accuracy of unseen phenotypes. Deep learning has shown promise. However, most studies on deep learning in plant breeding have been limited to small datasets, and only a few have explored its application in moderate-sized datasets. In this study, we aimed to address this limitation by utilizing a moderately large dataset. We examined the performance of a deep learning (DL) model and compared it with the widely used and powerful best linear unbiased prediction (GBLUP) model. The goal was to assess the GP accuracy in the context of a five-fold cross-validation strategy and when predicting complete environments using the DL model. The results revealed the DL model outperformed the GBLUP model in terms of GP accuracy for two out of the five included traits in the five-fold cross-validation strategy, with similar results in the other traits. This indicates the superiority of the DL model in predicting these specific traits. Furthermore, when predicting complete environments using the leave-one-environment-out (LOEO) approach, the DL model demonstrated competitive performance. It is worth noting that the DL model employed in this study extends a previously proposed multi-modal DL model, which had been primarily applied to image data but with small datasets. By utilizing a moderately large dataset, we were able to evaluate the performance and potential of the DL model in a context with more information and challenging scenario in plant breeding.
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 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 Machine learning
Source of heading or term AGROVOC
9 (RLIN) 11127
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Learning
Source of heading or term AGROVOC
9 (RLIN) 11157
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 Breeding
Source of heading or term AGROVOC
9 (RLIN) 1029
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 Dreisigacker, S.
Field link and sequence number INT2692
9 (RLIN) 851
Miscellaneous information Global Wheat Program
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 Vitale, P.
Field link and sequence number 001713327
9 (RLIN) 31497
Miscellaneous information Global Wheat Program
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 Velu, G.
Field link and sequence number INT2983
9 (RLIN) 880
Miscellaneous information Global Wheat Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tarekegn, Z.T.
Field link and sequence number 001713397
9 (RLIN) 31150
Miscellaneous information Global Wheat Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Chavira-Flores, M.
9 (RLIN) 29566
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Perez-Rodriguez, P.
9 (RLIN) 2703
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ramos-Pulido, S.
9 (RLIN) 31496
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lillemo, M.
9 (RLIN) 1659
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huihui Li
Field link and sequence number CLIH01
9 (RLIN) 764
Miscellaneous information Genetic Resources Program
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, O.A.
Field link and sequence number I1706800
9 (RLIN) 2700
Miscellaneous information Genetic Resources 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 Frontiers in Plant Science
Related parts v. 15, art. 1324090
Place, publisher, and date of publication Switzerland : Frontiers Media S.A., 2024.
International Standard Serial Number 1664-462X
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/23118
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
03/26/2024   03/26/2024 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 03/26/2024

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