Genomic selection in plant breeding: (Record no. 28008)
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000 -LEADER | |
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fixed length control field | 01890nab a22003017a 4500 |
001 - CONTROL NUMBER | |
control field | G93893 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | MX-TxCIM |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 121211b |||p||p||||||| |z||| | |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | MX-TxCIM |
041 0# - LANGUAGE CODE | |
Language code of text/sound track or separate title | En |
072 #0 - SUBJECT CATEGORY CODE | |
Subject category code | F30 |
100 1# - MAIN ENTRY--PERSONAL NAME | |
9 (RLIN) | 2093 |
Personal name | Jannink, J.L. |
245 00 - TITLE STATEMENT | |
Title | Genomic selection in plant breeding: |
Remainder of title | From theory to practice |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Date of publication, distribution, etc. | 2010 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | We intuitively believe that the dramatic drop in the cost of DNA marker information we have experienced should have immediate benefits in accelerating the delivery of crop varieties with improved yield, quality and biotic and abiotic stress tolerance. But these traits are complex and affected by many genes, each with small effect. Traditional marker-assisted selection has been ineffective for such traits. The introduction of genomic selection(GS), however, has shifted that paradigm. Rather than seeking to identify individual loci significantly associated with a trait,GS uses all marker data as predictors of performance and consequently delivers more accurate predictions. Selection can be based on GS predictions, potentially leading to more rapid and lower cost gains from breeding. The objectives of this article are to review essential aspects of GS and summarize the important take-home messages from recent theoretical, simulation and empirical studies.We then look forward and consider research needs surrounding methodological questions and the implications of GS for long-term selection. |
546 ## - LANGUAGE NOTE | |
Language note | English |
595 ## - COLLECTION | |
Collection | Reprints Collection |
653 0# - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Breeding value prediction |
653 0# - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Linkage disequilibrium |
653 0# - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Machine learning |
653 0# - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Marker-assisted selection |
653 0# - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Ridge regression |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Iwata, H., |
Relator term | coaut. |
700 1# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Lorenz, A.J., |
Relator term | coaut. |
773 0# - HOST ITEM ENTRY | |
Title | Briefings in Functional Genomics |
Related parts | v. 9, no. 2, p. 166-177 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Article |
Date last seen | Total Checkouts | Price effective from | Koha item type | Lost status | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired |
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07/03/2017 | 07/03/2017 | Article | Not Lost | Reprints Collection | CIMMYT Knowledge Center: John Woolston Library | CIMMYT Knowledge Center: John Woolston Library | 07/03/2017 |