Knowledge Center Catalog

Genome-enabled prediction of genetic values using radial basis function neural networks (Record no. 29371)

MARC details
000 -LEADER
fixed length control field 03075nab a22004817a 4500
001 - CONTROL NUMBER
control field G96948
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919020947.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220421s2012 gw ||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1432-2242 (Online)
022 0# - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0040-5752
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s00122-012-1868-9
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) CIS-6766
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name González-Camacho, J.M.
9 (RLIN) 5411
245 10 - TITLE STATEMENT
Title Genome-enabled prediction of genetic values using radial basis function neural networks
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Berlin (Germany) :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2012
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. The availability of high density panels of molecular markers has prompted the adoption of genomic selection (GS) methods in animal and plant breeding. In GS, parametric, semi-parametric and non-parametric regressions models are used for predicting quantitative traits. This article shows how to use neural networks with radial basis functions (RBFs) for prediction with dense molecular markers. We illustrate the use of the linear Bayesian LASSO regression model and of two non-linear regression models, reproducing kernel Hilbert spaces (RKHS) regression and radial basis function neural networks (RBFNN) on simulated data and real maize lines genotyped with 55,000 markers and evaluated for several trait?environment combinations. The empirical results of this study indicated that the three models showed similar overall prediction accuracy, with a slight and consistent superiority of RKHS and RBFNN over the additive Bayesian LASSO model. Results from the simulated data indicate that RKHS and RBFNN models captured epistatic effects; however, adding non-signal (redundant) predictors (interaction between markers) can adversely affect the predictive accuracy of the non-linear regression models.
536 ## - FUNDING INFORMATION NOTE
Text of note Genetic Resources Program|Global Maize Program
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation CIMMYT Informa No. 1805|Springer
594 ## - STAFFID
StaffID INT2948|CCJL01|INT2822|INT2925
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 8685
Topical term or geographic name as entry element Artificial Selection
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 9056
Topical term or geographic name as entry element Neural Networks
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1848
Topical term or geographic name as entry element Genetic markers
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 2624
Topical term or geographic name as entry element Statistical methods
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 2701
Topical term or geographic name as entry element Forecasting
Source of heading or term AGROVOC
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
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Perez-Rodriguez, P.
9 (RLIN) 2703
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Gianola, D.
9 (RLIN) 7797
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 879
Personal name Cairns, J.E.
Miscellaneous information Global Maize Program
Field link and sequence number INT2948
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 861
Personal name Mahuku, G.
Miscellaneous information Global Maize Program
Field link and sequence number INT2822
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 875
Personal name BABU, R.
Miscellaneous information Global Maize Program
Field link and sequence number INT2925
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 Theoretical and Applied Genetics
Related parts v. 125, no. 4, p. 759-771
Place, publisher, and date of publication Berlin (Germany) : Springer, 2012.
Record control number G444762
International Standard Serial Number 0040-5752
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://hdl.handle.net/10883/1889
Link text Open Access through DSpace
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
Holdings
Date last seen Total Checkouts Full call number 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
07/03/2017   CIS-6766 07/03/2017 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2017

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