Knowledge Center Catalog

Statistical genomics for crop improvement : (Record no. 28326)

MARC details
000 -LEADER
fixed length control field 02974nab a22003497a 4500
001 - CONTROL NUMBER
control field G94654
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230714230751.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210805t2010 ii |||p|op||| 00| 0 eng d
022 0# - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0019-6363
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-6191
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Prasanna, B.M.
Miscellaneous information Global Maize Program
Field link and sequence number INT3057
9 (RLIN) 887
245 10 - TITLE STATEMENT
Title Statistical genomics for crop improvement :
Remainder of title opportunities and challenges
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. India :
Name of publisher, distributor, etc. Indian Society of Agricultural Statistics,
Date of publication, distribution, etc. 2010.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Peer-review: No - Open Access: Yes|http://www.isas.org.in/html/journal.html
520 ## - SUMMARY, ETC.
Summary, etc. Effective analysis of molecular data in combination with rigorous phenotypic data using appropriate statistical methods can provide enhanced understanding of the genetic and molecular bases of complex phenotypic traits. Coupled with the rapid development related to genome sequencing of crop plants, advances in statistical methods have aided in detecting Quantitative Trait Loci (QTL) influencing an array of traits, including epistatic QTLs, besides analysis of genotype x environment interactions, discovery of 'consensus QTL' through meta-analysis of data, expression-QTL (eQTL) through genetical genomics, and even epigenomic QTL. The profusion of powerful DNA-based markers, particularly single nucleotide polymorphisms (SNPs) and the evolution of statistical algorithms and experimental strategies, including the extension of the concept of linkage disequilibrium (LD)-based association mapping in crop plants, further promises to revolutionize the discovery of marker-trait associations for several important traits. While these exciting advances have brought closer the statisticians, bioinformatics experts, geneticists and molecular biologists, the new focus on genomiscs has also highlighted a significant challenge; how to integrate the different views of the genome given by various types of experimental data and provide a proper biological perspective that can lead to crop improvement. In the article, from the user's perspective, I shall review some of the ongoing work on the above-mentioned areas in crop plants, especially using maize as a model system, and the opportunities and challenges for application of statistical genomics in molecular plant breeding.
536 ## - FUNDING INFORMATION NOTE
Text of note Global Maize Program
546 ## - LANGUAGE NOTE
Language note Text in English
594 ## - STAFFID
StaffID INT3057
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 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 Chromosome mapping
Source of heading or term AGROVOC
9 (RLIN) 2084
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genomics
Source of heading or term AGROVOC
9 (RLIN) 1132
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistical methods
Source of heading or term AGROVOC
9 (RLIN) 2624
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Crops
Source of heading or term AGROVOC
9 (RLIN) 1069
773 0# - HOST ITEM ENTRY
Title Journal of the Indian Society of Agricultural Statistics
Related parts v. 64, no. 1, p. 77-87
Place, publisher, and date of publication India : Indian Society of Agricultural Statistics, 2010.
International Standard Serial Number 0019-6363
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Access only for CIMMYT Staff
Uniform Resource Identifier https://hdl.handle.net/20.500.12665/379
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
07/05/2017   CIS-6191 07/05/2017 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/05/2017

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