Knowledge Center Catalog

Regularized selection indices for breeding value prediction using hyper-spectral image data (Record no. 61989)

MARC details
000 -LEADER
fixed length control field 02754nab|a22003737a|4500
001 - CONTROL NUMBER
control field 61989
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919020951.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200529s2020||||xxk|||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2045-2322
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1038/s41598-020-65011-2
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 Lopez-Cruz, M.
9 (RLIN) 2348
245 1# - TITLE STATEMENT
Title Regularized selection indices for breeding value prediction using hyper-spectral image data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. London (United Kingdom) :
Name of publisher, distributor, etc. Nature Publishing Group,
Date of publication, distribution, etc. 2020.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. High-throughput phenotyping (HTP) technologies can produce data on thousands of phenotypes per unit being monitored. These data can be used to breed for economically and environmentally relevant traits (e.g., drought tolerance); however, incorporating high-dimensional phenotypes in genetic analyses and in breeding schemes poses important statistical and computational challenges. To address this problem, we developed regularized selection indices; the methodology integrates techniques commonly used in high-dimensional phenotypic regressions (including penalization and rank-reduction approaches) into the selection index (SI) framework. Using extensive data from CIMMYT?s (International Maize and Wheat Improvement Center) wheat breeding program we show that regularized SIs derived from hyper-spectral data offer consistently higher accuracy for grain yield than those achieved by standard SIs, and by vegetation indices commonly used to predict agronomic traits. Regularized SIs offer an effective approach to leverage HTP data that is routinely generated in agriculture; the methodology can also be used to conduct genetic studies using high-dimensional phenotypes that are often collected in humans and model organisms including body images and whole-genome gene expression profiles.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1853
Topical term or geographic name as entry element Quantitative Trait Loci
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 2624
Topical term or geographic name as entry element Statistical methods
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 3634
Topical term or geographic name as entry element Phenotypes
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Olson, E.
9 (RLIN) 13649
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rovere, G.
9 (RLIN) 13650
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
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 Mondal, S.
Miscellaneous information Formerly Global Wheat Program
Field link and sequence number INT3211
9 (RLIN) 904
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, R.P.
Miscellaneous information Global Wheat Program
Field link and sequence number INT0610
9 (RLIN) 825
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name De los Campos, G.
Field link and sequence number CCAG01
9 (RLIN) 2349
Miscellaneous information Genetic Resources Program
773 0# - HOST ITEM ENTRY
Title Nature Scientific Reports
Related parts v. 10, no. 1, art. 8195
Place, publisher, and date of publication London (United Kingdom) : Nature Publishing Group, 2020.
International Standard Serial Number 2045-2322
Record control number a58025
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/20890
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
05/30/2020   05/30/2020 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 05/30/2020

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