Knowledge Center Catalog

Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers (Record no. 29372)

MARC details
000 -LEADER
fixed length control field 02989nab a22004217a 4500
001 - CONTROL NUMBER
control field G96949
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 xxu||||| |||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1435-0653 (Online)
022 0# - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0011-183X
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.2135/cropsci2011.06.0299
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-6767
100 1# - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 907
Personal name Burgueño, J.
Miscellaneous information Genetic Resources Program
Field link and sequence number INT3239
245 10 - TITLE STATEMENT
Title Genomic prediction of breeding values when modeling genotype × environment interaction using pedigree and dense molecular markers
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. USA :
Name of publisher, distributor, etc. CSSA :
-- Wiley,
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=0011-183X
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Genomic selection (GS) has become an important aid in plant and animal breeding. Multienvironment (multitrait) models allow borrowing of information across environments (traits), which could enhance prediction accuracy. This study presents multienvironment (multitrait) models for GS and compares the predictive accuracy of these models with: (i) multienvironment analysis without pedigree and marker information, and (ii) multienvironment pedigree or/and marker-based models. A statistical framework for incorporating pedigree and molecular marker information in models for multienvironment data is described and applied to data that originate from wheat (Triticum aestivum L.) multienvironment trials. Two prediction problems relevant to plant breeders are considered: (CV1) predicting the performance of untested genotypes (?newly? developed lines), and (CV2) predicting the performance of genotypes that have been evaluated in some environments but not in others. Results confirmed the superiority of models using both marker and pedigree information over those based on pedigree information only. Models with pedigree and/or markers had better predictive accuracy than simple linear mixed models that do not include either of these two sources of information. We concluded that the evaluation of such trials can benefit greatly from using multienvironment GS models.
536 ## - FUNDING INFORMATION NOTE
Text of note Genetic Resources Program
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation CIMMYT Informa No. 1807|Crop Science Society of America (CSSA)
594 ## - STAFFID
StaffID INT3239|CCJL01
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 10737
Topical term or geographic name as entry element Marker-assisted selection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 2569
Topical term or geographic name as entry element Simulation models
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1310
Topical term or geographic name as entry element Wheat
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 4371
Topical term or geographic name as entry element Data analysis
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 Weigel, K.
9 (RLIN) 21839
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 Crop Science
Related parts v. 52, no. 2, p. 707-719
Place, publisher, and date of publication USA : CSSA : Wiley, 2012.
Record control number G444244
International Standard Serial Number 1435-0653
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://hdl.handle.net/10883/1890
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-6767 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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