Knowledge Center Catalog

A Bayesian decision theory approach for genomic selection (Record no. 59712)

MARC details
000 -LEADER
fixed length control field 03171nab a22003737a 4500
001 - CONTROL NUMBER
control field 59712
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021226.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180918s2018||||mdu|||p|op||||00||0|eng|d
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1534/g3.118.200430
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 Villar-Hernandez, B.d.J.
9 (RLIN) 7952
245 10 - TITLE STATEMENT
Title A Bayesian decision theory approach for genomic selection
Medium [Electronic Resource]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Bethesda, Md., U.S. :
Name of publisher, distributor, etc. Genetics Society of America,
Date of publication, distribution, etc. 2018.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Plant and animal breeders are interested in selecting the best individuals from a candidate set for the next breeding cycle. In this paper, we propose a formal method under the Bayesian decision theory framework to tackle the selection problem based on genomic selection (GS) in single- and multi-trait settings. We proposed and tested three univariate loss functions (Kullback-Leibler, KL; Continuous Ranked Probability Score, CRPS; Linear-Linear loss, LinLin) and their corresponding multivariate generalizations (Kullback-Leibler, KL; Energy Score, EnergyS; and the Multivariate Asymmetric Loss Function, MALF). We derived and expressed all the loss functions in terms of heritability and tested them on a real wheat dataset for one cycle of selection and in a simulated selection program. The performance of each univariate loss function was compared with the standard method of selection (Std) that does not use loss functions. We compared the performance in terms of the selection response and the decrease in the population's genetic variance during recurrent breeding cycles. Results suggest that it is possible to obtain better performance in a long-term breeding program using the single-trait scheme by selecting 30% of the best individuals in each cycle but not by selecting 10% of the best individuals. For the multi-trait approach, results show that the population mean for all traits under consideration had positive gains, even though two of the traits were negatively correlated. The corresponding population variances were not statistically different from the different loss function during the 10th selection cycle. Using the loss function should be a useful criterion when selecting the candidates for selection for the next breeding cycle.
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Number of CIMMYT Informa CIMMYT Informa : 2022 (Octubre 25, 2018)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 4013
Topical term or geographic name as entry element Bayesian theory
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1132
Topical term or geographic name as entry element Genomics
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
Source of heading or term AGROVOC
9 (RLIN) 4749
Topical term or geographic name as entry element Selection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 8687
Topical term or geographic name as entry element Simulation
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 4434
Personal name Perez-Elizalde, S.
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
9 (RLIN) 2703
Personal name Perez-Rodriguez, P.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Toledo, F.H.
Field link and sequence number I1706676
9 (RLIN) 1999
Miscellaneous information Genetic Resources Program
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 907
Personal name BurgueƱo, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number INT3239
773 0# - HOST ITEM ENTRY
Title G3: Genes, Genomes, Genetics
Related parts v. 8, no. 9, p. 3019-3037
Place, publisher, and date of publication Genetics Society of America, 2018
International Standard Serial Number (Online) 2160-1836
Record control number u56922
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/19624
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
09/18/2018   09/18/2018 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 09/18/2018

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