MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03264nab|a22004457a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
67478 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240919020956.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240515s2024 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1674-2052 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1752-9867 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1016/j.molp.2024.03.007 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MX-TxCIM |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Alemu, A. |
| 9 (RLIN) |
11491 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Genomic selection in plant breeding : |
| Remainder of title |
key factors shaping two decades of progress |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
USA : |
| Name of publisher, distributor, etc. |
Cell Press, |
| Date of publication, distribution, etc. |
2024. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Genomic selection, the application of genomic prediction (GP) models to select candidate individuals, has significantly advanced in the past two decades, effectively accelerating genetic gains in plant breeding. This article provides a holistic overview of key factors that have influenced GP in plant breeding during this period. We delved into the pivotal roles of training population size and genetic diversity, and their relationship with the breeding population, in determining GP accuracy. Special emphasis was placed on optimizing training population size. We explored its benefits and the associated diminishing returns beyond an optimum size. This was done while considering the balance between resource allocation and maximizing prediction accuracy through current optimization algorithms. The density and distribution of single-nucleotide polymorphisms, level of linkage disequilibrium, genetic complexity, trait heritability, statistical machine-learning methods, and non-additive effects are the other vital factors. Using wheat, maize, and potato as examples, we summarize the effect of these factors on the accuracy of GP for various traits. The search for high accuracy in GP—theoretically reaching one when using the Pearson's correlation as a metric—is an active research area as yet far from optimal for various traits. We hypothesize that with ultra-high sizes of genotypic and phenotypic datasets, effective training population optimization methods and support from other omics approaches (transcriptomics, metabolomics and proteomics) coupled with deep-learning algorithms could overcome the boundaries of current limitations to achieve the highest possible prediction accuracy, making genomic selection an effective tool in plant breeding. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 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 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Genetic gain |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
2091 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Algorithms |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
32603 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Åstrand, J. |
| 9 (RLIN) |
33984 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Montesinos-Lopez, O.A. |
| Field link and sequence number |
I1706800 |
| 9 (RLIN) |
2700 |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Isidro y Sánchez, J. |
| 9 (RLIN) |
33985 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fernández-Gónzalez, J. |
| 9 (RLIN) |
33986 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tadesse, W. |
| 9 (RLIN) |
1989 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vetukuri, R.R. |
| 9 (RLIN) |
30706 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Carlsson, A.S. |
| 9 (RLIN) |
33987 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ceplitis, A. |
| 9 (RLIN) |
30681 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Crossa, J. |
| Miscellaneous information |
Genetic Resources Program |
| Field link and sequence number |
CCJL01 |
| 9 (RLIN) |
59 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ortiz, R. |
| 9 (RLIN) |
5322 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Chawade, A. |
| 9 (RLIN) |
7735 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Molecular Plant |
| Related parts |
v. 17, no. 4, p. 552-578 |
| Place, publisher, and date of publication |
USA : Cell Press, 2024. |
| International Standard Serial Number |
1674-2052 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/23156 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |