MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03596nab|a22004097a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
66534 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20231101182147.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231031s2023 xxk|||p|op||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
2517-5025 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1093/insilicoplants/diad002 |
| 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 |
Fradgley, N. S. |
| 9 (RLIN) |
17394 |
| Field link and sequence number |
001713762 |
| Miscellaneous information |
Global Wheat Program |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Multi-trait ensemble genomic prediction and simulations of recurrent selection highlight importance of complex trait genetic architecture for long-term genetic gains in wheat |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
United Kingdom : |
| Name of publisher, distributor, etc. |
Oxford University Press, |
| Date of publication, distribution, etc. |
2023. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Cereal crop breeders have achieved considerable genetic gain in genetically complex traits, such as grain yield, while maintaining genetic diversity. However, focus on selection for yield has negatively impacted other important traits. To better understand multi-trait selection within a breeding context, and how it might be optimized, we analysed genotypic and phenotypic data from a genetically diverse, 16-founder wheat multi-parent advanced generation inter-cross population. Compared to single-trait models, multi-trait ensemble genomic prediction models increased prediction accuracy for almost 90 % of traits, improving grain yield prediction accuracy by 3–52 %. For complex traits, non-parametric models (Random Forest) also outperformed simplified, additive models (LASSO), increasing grain yield prediction accuracy by 10–36 %. Simulations of recurrent genomic selection then showed that sustained greater forward prediction accuracy optimized long-term genetic gains. Simulations of selection on grain yield found indirect responses in related traits, involving optimized antagonistic trait relationships. We found multi-trait selection indices could effectively optimize undesirable relationships, such as the trade-off between grain yield and protein content, or combine traits of interest, such as yield and weed competitive ability. Simulations of phenotypic selection found that including Random Forest rather than LASSO genetic models, and multi-trait rather than single-trait models as the true genetic model accelerated and extended long-term genetic gain whilst maintaining genetic diversity. These results (i) suggest important roles of pleiotropy and epistasis in the wider context of wheat breeding programmes, and (ii) provide insights into mechanisms for continued genetic gain in a limited genepool and optimization of multiple traits for crop improvement. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 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 |
Population |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
15029 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Recurrent selection |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
12374 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Simulation |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
8687 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Triticum aestivum |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1296 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Field link and sequence number |
001712617 |
| 9 (RLIN) |
17393 |
| Personal name |
Gardner, K.A. |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Field link and sequence number |
001712492 |
| 9 (RLIN) |
9599 |
| Personal name |
Bentley, A.R. |
| Miscellaneous information |
Formerly Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
19870 |
| Personal name |
Howell, P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Field link and sequence number |
001711711 |
| 9 (RLIN) |
5975 |
| Personal name |
Mackay, I. |
| Miscellaneous information |
Formerly Excellence in Breeding |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
19868 |
| Personal name |
Scott, M.F. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
19872 |
| Personal name |
Mott, R. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
17416 |
| Personal name |
Cockram, J. |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
in silico Plants |
| Related parts |
v. 5, no. 1, art. diad002 |
| Place, publisher, and date of publication |
United Kingdom : Oxford University Press, 2023. |
| International Standard Serial Number |
2517-5025 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/22730 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |