MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03424nab a22004337a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
66247 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240919020955.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
121211b |||p||p||||||| |z||| | |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
2160-1836 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
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| Source of number or code |
https://doi.org/10.1093/g3journal/jkad045 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MX-TxCIM |
| 041 0# - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Montesinos-Lopez, A. |
| 9 (RLIN) |
2702 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Multimodal deep learning methods enhance genomic prediction of wheat breeding |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc. |
2023. |
| Place of publication, distribution, etc. |
Bethesda, MD (USA) : |
| Name of publisher, distributor, etc. |
Genetics Society of America, |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
While several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes in plant breeding research, few methods have linked genomics and phenomics (imaging). Deep learning (DL) neural networks have been developed to increase the GP accuracy of unobserved phenotypes while simultaneously accounting for the complexity of genotype–environment interaction (GE); however, unlike conventional GP models, DL has not been investigated for when genomics is linked with phenomics. In this study we used 2 wheat data sets (DS1 and DS2) to compare a novel DL method with conventional GP models. Models fitted for DS1 were GBLUP, gradient boosting machine (GBM), support vector regression (SVR) and the DL method. Results indicated that for 1 year, DL provided better GP accuracy than results obtained by the other models. However, GP accuracy obtained for other years indicated that the GBLUP model was slightly superior to the DL. DS2 is comprised only of genomic data from wheat lines tested for 3 years, 2 environments (drought and irrigated) and 2–4 traits. DS2 results showed that when predicting the irrigated environment with the drought environment, DL had higher accuracy than the GBLUP model in all analyzed traits and years. When predicting drought environment with information on the irrigated environment, the DL model and GBLUP model had similar accuracy. The DL method used in this study is novel and presents a strong degree of generalization as several modules can potentially be incorporated and concatenated to produce an output for a multi-input data structure. |
| 546 ## - LANGUAGE NOTE |
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| Language note |
Text in English |
| 591 ## - CATALOGING NOTES |
|---|
| Affiliation |
Montesinos-Lopez, O.A. : No CIMMYT Affiliation |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1310 |
| Topical term or geographic name as entry element |
Wheat |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1029 |
| Topical term or geographic name as entry element |
Breeding |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
11127 |
| Topical term or geographic name as entry element |
Machine learning |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1178 |
| Topical term or geographic name as entry element |
Methods |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
10737 |
| Topical term or geographic name as entry element |
Marker-assisted selection |
| Source of heading or term |
AGROVOC |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
1898 |
| Personal name |
Rivera, C. |
| Field link and sequence number |
N1313814 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Pinto Espinosa, F. |
| Field link and sequence number |
I1707012 |
| Miscellaneous information |
Formerly Global Wheat Program |
| 9 (RLIN) |
4431 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
1901 |
| Personal name |
Piñera Chavez, F.J. |
| Field link and sequence number |
N1707052 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
26628 |
| Personal name |
González-Diéguez, D.O. |
| Field link and sequence number |
1707522 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
831 |
| Personal name |
Reynolds, M.P. |
| Field link and sequence number |
INT1511 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
2703 |
| Personal name |
Perez-Rodriguez, P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
764 |
| Personal name |
Huihui Li |
| Field link and sequence number |
CLIH01 |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
2700 |
| Personal name |
Montesinos-Lopez, O.A. |
| Field link and sequence number |
I1706800 |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Crossa, J. |
| Miscellaneous information |
Genetic Resources Program |
| Field link and sequence number |
CCJL01 |
| 9 (RLIN) |
59 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
G3: Genes, Genomes, Genetics |
| Related parts |
v. 13, no. 5, art. jkad045 |
| Place, publisher, and date of publication |
Bethesda, MD (USA) : Genetics Society of America, 2023. |
| International Standard Serial Number |
2160-1836 |
| Record control number |
u56922 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/22606 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |