MARC details
000 -LEADER |
fixed length control field |
03087nab|a22004457a|4500 |
001 - CONTROL NUMBER |
control field |
67351 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20241126095823.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
20243s2024||||mx |||p|op||||00||0|eng|d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
2073-4425 (Online) |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.3390/genes15030286 |
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 |
Montesinos-Lopez, O.A. |
Field link and sequence number |
I1706800 |
9 (RLIN) |
2700 |
Miscellaneous information |
Genetic Resources Program |
245 10 - TITLE STATEMENT |
Title |
Data augmentation enhances plant-genomic-enabled predictions |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
MDPI, |
Date of publication, distribution, etc. |
2024. |
Place of publication, distribution, etc. |
Basel (Switzerland) : |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Genomic selection (GS) is revolutionizing plant breeding. However, its practical implementation is still challenging, since there are many factors that affect its accuracy. For this reason, this research explores data augmentation with the goal of improving its accuracy. Deep neural networks with data augmentation (DA) generate synthetic data from the original training set to increase the training set and to improve the prediction performance of any statistical or machine learning algorithm. There is much empirical evidence of their success in many computer vision applications. Due to this, DA was explored in the context of GS using 14 real datasets. We found empirical evidence that DA is a powerful tool to improve the prediction accuracy, since we improved the prediction accuracy of the top lines in the 14 datasets under study. On average, across datasets and traits, the gain in prediction performance of the DA approach regarding the Conventional method in the top 20% of lines in the testing set was 108.4% in terms of the NRMSE and 107.4% in terms of the MAAPE, but a worse performance was observed on the whole testing set. We encourage more empirical evaluations to support our findings. |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
591 ## - CATALOGING NOTES |
Affiliation |
Montesinos-Lopez, O.A. : No CIMMYT Affiliation |
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 |
Plant breeding |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1203 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data |
Source of heading or term |
AGROVOC |
9 (RLIN) |
9002 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Solis-Camacho, M.A. |
9 (RLIN) |
33472 |
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 |
Saint Pierre, C. |
Field link and sequence number |
INT2731 |
9 (RLIN) |
855 |
Miscellaneous information |
Global Wheat Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Huerta Prado, G.I. |
9 (RLIN) |
33473 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Ramos-Pulido, S. |
9 (RLIN) |
31496 |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Khalid Al-Nowibet |
9 (RLIN) |
33474 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Fritsche-Neto, R. |
9 (RLIN) |
6507 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gerard, G.S. |
Field link and sequence number |
1713398 |
9 (RLIN) |
11490 |
Miscellaneous information |
Global Wheat Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Montesinos-Lopez, A. |
9 (RLIN) |
2702 |
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 |
Genes |
Related parts |
v. 15, no. 3, art. 286 |
Place, publisher, and date of publication |
Basel (Switzerland) : MDPI, 2024 |
International Standard Serial Number |
2073-4425 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/23127 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |