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 |