MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03509nab|a22004817a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
66336 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240919021005.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
20236s2023||||mx |||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1367-4803 |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1460-2059 |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1093/bioinformatics/btad336 |
| 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 |
Togninalli, M. |
| 9 (RLIN) |
31117 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc. |
Oxford University Press, |
| Date of publication, distribution, etc. |
2023. |
| Place of publication, distribution, etc. |
Oxford (United Kingdom) : |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Motivation: Developing new crop varieties with superior performance is highly important to ensure robust and sustainable global food security. The speed of variety development is limited by long field cycles and advanced generation selections in plant breeding programs. While methods to predict yield from genotype or phenotype data have been proposed, improved performance and integrated models are needed. Results: We propose a machine learning model that leverages both genotype and phenotype measurements by fusing genetic variants with multiple data sources collected by unmanned aerial systems. We use a deep multiple instance learning framework with an attention mechanism that sheds light on the importance given to each input during prediction, enhancing interpretability. Our model reaches 0.754 6 0.024 Pearson correlation coefficient when predicting yield in similar environmental conditions; a 34.8% improvement over the genotype-only linear baseline (0.559 6 0.050). We further predict yield on new lines in an unseen environment using only genotypes, obtaining a prediction accuracy of 0.386 6 0.010, a 13.5% improvement over the linear baseline. Our multi-modal deep learning architecture efficiently accounts for plant health and environment, distilling the genetic contribution and providing excellent predictions. Yield prediction algorithms leveraging phenotypic observations during training therefore promise to improve breeding programs, ultimately speeding up delivery of improved varieties. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
11157 |
| Topical term or geographic name as entry element |
Learning |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1138 |
| Topical term or geographic name as entry element |
Grain |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1313 |
| Topical term or geographic name as entry element |
Yields |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1310 |
| Topical term or geographic name as entry element |
Wheat |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1029 |
| Topical term or geographic name as entry element |
Breeding |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1118 |
| Topical term or geographic name as entry element |
Food security |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Xu Wang |
| 9 (RLIN) |
9093 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kucera, T. |
| 9 (RLIN) |
31118 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Shrestha, S. |
| 9 (RLIN) |
8259 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
JULIANA P. |
| Field link and sequence number |
001710082 |
| 9 (RLIN) |
2690 |
| Miscellaneous information |
Formerly Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Mondal, S. |
| Field link and sequence number |
INT3211 |
| 9 (RLIN) |
904 |
| Miscellaneous information |
Formerly Global Wheat Program |
| 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 |
|---|
| Personal name |
Velu, G. |
| Field link and sequence number |
INT2983 |
| 9 (RLIN) |
880 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Crespo-Herrera, L.A. |
| Field link and sequence number |
I1706538 |
| 9 (RLIN) |
2608 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Huerta-Espino, J. |
| Miscellaneous information |
Global Wheat Program |
| Field link and sequence number |
CHUE01 |
| 9 (RLIN) |
397 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Singh, R.P. |
| Field link and sequence number |
INT0610 |
| 9 (RLIN) |
825 |
| Miscellaneous information |
Global Wheat Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Borgwardt, K. |
| 9 (RLIN) |
31119 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Poland, J.A. |
| 9 (RLIN) |
2092 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Bioinformatics |
| Related parts |
v. 39, no. 6, art. btad336 |
| Place, publisher, and date of publication |
Oxford (United Kingdom) : Oxford University Press, 2023 |
| International Standard Serial Number |
1367-4803 |
| Record control number |
G76219 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/22634 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |