Knowledge Center Catalog

Evaluating the effectiveness of selection indices and their genomic prediction using environmental and historical rice data (Record no. 68822)

MARC details
000 -LEADER
fixed length control field 03233nab|a22004217a|4500
001 - CONTROL NUMBER
control field 68822
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250605094237.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20255s2025|||||-us||p|op||||00||0|eng|dd
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 2160-1836
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1093/g3journal/jkaf087
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 Evaluating the effectiveness of selection indices and their genomic prediction using environmental and historical rice data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bethesda, MD (United States of America) :
Name of publisher, distributor, etc. Oxford University Press,
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. Improving genetic gains in rice breeding programs requires accurate prediction methods for selection indices. Effective use of genomic prediction could significantly accelerate breeding cycles. The Smith index method (SIM), the eigenvalue selection index method (ESIM), and the desired gain index (DG) are linear combinations of trait phenotypic values y (I=b ' y), and while the SIM and ESIM predict the net genetics merit (H=w ' c), where w is the vector of economic weights and c is the unobserved genotypic values, the DG predicts the mean of genotypic values. To enhance genomic prediction accuracy, mixed linear and Bayesian models incorporate molecular markers to estimate genomic effects, resulting in genomic estimated breeding values. This study evaluated (1) the efficiency of the SIM, ESIM, and DG through their main parameters and (2) the predictive accuracy of 5 genomic prediction models utilizing historical rice (Oryza sativa) data from 2018 to 2021 to predict selection indices for 2022. The correlation between observed and predicted indices assessed the effectiveness of each genomic model. Models incorporating year-specific and environmental covariates significantly improved predictive performance. These findings underscore the importance of environmental covariates and indicate that the SIM is the most effective method for maximizing key index parameters, while the ESIM provides the best predictive accuracy for indices. Consequently, rice breeders are encouraged to use these indices to enhance genetic gains per selection cycle.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Ceron Rojas, J.J. : Not in IRS staff list but CIMMYT Affiliation
591 ## - CATALOGING NOTES
Affiliation Montesinos-Lopez, O.A. : No CIMMYT Affiliation
597 ## - CGIAR Initiative
Donor or Funder Louisiana State University Agricultural Center (LSU AgCenter)
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 Breeding
Source of heading or term AGROVOC
9 (RLIN) 1029
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 Rice
9 (RLIN) 1243
Source of heading or term AGROVOC
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ceron Rojas, J.J.
9 (RLIN) 1932
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, A.
9 (RLIN) 2702
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 Punzalan, J.
9 (RLIN) 39082
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Famoso, A.
9 (RLIN) 39083
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fritsche-Neto, R.
9 (RLIN) 6507
773 0# - HOST ITEM ENTRY
Title G3: Genes, Genomes, Genetics
Place, publisher, and date of publication Bethesda, MD (United States of America) : Oxford University Press, 2025.
International Standard Serial Number 2160-1836
Related parts v. 15, no. 6, art. jkaf087
Record control number 56922
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/35699
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
05/16/2025   05/16/2025 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 05/16/2025

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