MARC details
000 -LEADER |
fixed length control field |
02544nab|a22003857a|4500 |
001 - CONTROL NUMBER |
control field |
65173 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240919021233.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
20223s2022||||mx |||p|op||||00||0|eng|d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
1664-462X |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.3389/fpls.2022.845524 |
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 |
Galli, G. |
9 (RLIN) |
8650 |
245 11 - TITLE STATEMENT |
Title |
Automated Machine Learning : |
Remainder of title |
A Case Study of Genomic “Image-Based” Prediction in Maize Hybrids |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Frontiers, |
Date of publication, distribution, etc. |
2022. |
Place of publication, distribution, etc. |
Switzerland : |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Machine learning methods such as multilayer perceptrons (MLP) and Convolutional Neural Networks (CNN) have emerged as promising methods for genomic prediction (GP). In this context, we assess the performance of MLP and CNN on regression and classification tasks in a case study with maize hybrids. The genomic information was provided to the MLP as a relationship matrix and to the CNN as “genomic images.” In the regression task, the machine learning models were compared along with GBLUP. Under the classification task, MLP and CNN were compared. In this case, the traits (plant height and grain yield) were discretized in such a way to create balanced (moderate selection intensity) and unbalanced (extreme selection intensity) datasets for further evaluations. An automatic hyperparameter search for MLP and CNN was performed, and the best models were reported. For both task types, several metrics were calculated under a validation scheme to assess the effect of the prediction method and other variables. Overall, MLP and CNN presented competitive results to GBLUP. Also, we bring new insights on automated machine learning for genomic prediction and its implications to 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 |
Accuracy |
Source of heading or term |
AGROVOC |
9 (RLIN) |
27100 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Maize |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1173 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Hybrids |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1151 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Plant breeding |
Miscellaneous information |
AGROVOC |
Source of heading or term |
|
9 (RLIN) |
1203 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Sabadin, F. |
9 (RLIN) |
21706 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Yassue, R.M. |
9 (RLIN) |
27101 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Galves, C: |
9 (RLIN) |
27102 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Fanelli Carvalho, H. |
9 (RLIN) |
19807 |
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 |
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 |
Fritsche-Neto, R. |
9 (RLIN) |
6507 |
773 0# - HOST ITEM ENTRY |
Title |
Frontiers in Plant Science |
Related parts |
v. 13, art. 845524 |
Place, publisher, and date of publication |
Switzerland : Frontiers, 2022 |
Record control number |
56875 |
International Standard Serial Number |
1664-462X |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/22042 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |