Knowledge Center Catalog

From genotype x environment interaction to gene x environment interaction (Record no. 29380)

MARC details
000 -LEADER
fixed length control field 03299nab a22003857a 4500
001 - CONTROL NUMBER
control field G96960
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 210809s2012 ts |||p|op||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1875-5488 (Online)
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1389-2029
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.2174/138920212800543066
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-6768
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 From genotype x environment interaction to gene x environment interaction
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. United Arab Emirates :
Name of publisher, distributor, etc. Bentham Science Publishers,
Date of publication, distribution, etc. 2012.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1389-2029
520 ## - SUMMARY, ETC.
Summary, etc. Historically in plant breeding a large number of statistical models has been developed and used for studying genotype x environment interaction. These models have helped plant breeders to assess the stability of economically important traits and to predict the performance of newly developed genotypes evaluated under varying environmental conditions. In the last decade, the use of relatively low numbers of markers has facilitated the mapping of chromosome regions associated with phenotypic variability (e.g., QTL mapping) and, to a lesser extent, revealed the differetial response of these chromosome regions across environments (i.e., QTL x environment interaction). QTL technology has been useful for marker-assisted selection of simple traits; however, it has not been efficient for predicting complex traits affected by a large number of loci. Recently the appearance of cheap, abundant markers has made it possible to saturate the genome with high density markers and use marker information to predict genomic breeding values, thus increasing the precision of genetic value prediction over that achieved with the traditional use of pedigree information. Genomic data also allow assessing chromosome regions through marker effects and studying the pattern of covariablity of marker effects across differential environmental conditions. In this review, we outline the most important models for assessing genotype x environment interaction, QTL x environment interaction, and marker effect (gene) x environment interaction. Since analyzing genetic and genomic data is one of the most challenging statistical problems researchers currently face, different models from different areas of statistical research must be attempted in order to make significant progress in understanding genetic effects and their interaction with environment.
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
594 ## - STAFFID
StaffID CCJL01
595 ## - COLLECTION
Collection CIMMYT Staff Publications Collection
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genotype environment interaction
Source of heading or term AGROVOC
9 (RLIN) 1133
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Quantitative Trait Loci
Source of heading or term AGROVOC
9 (RLIN) 1853
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Environmental factors
Source of heading or term AGROVOC
9 (RLIN) 4558
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genetic markers
Source of heading or term AGROVOC
9 (RLIN) 1848
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Marker-assisted selection
Source of heading or term AGROVOC
9 (RLIN) 10737
773 0# - HOST ITEM ENTRY
Title Current Genomics
Related parts v. 13, no. 3, p. 225-244
Place, publisher, and date of publication United Arab Emirates : Bentham Science Publishers, 2012.
International Standard Serial Number 1389-2029
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://hdl.handle.net/20.500.12665/283
Link text Access only for CIMMYT Staff
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 Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
07/03/2017   CIS-6768 07/03/2017 Article Not Lost     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2017

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