MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02363nab|a22003617a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
59646 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240919020950.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180728s2018||||wiu|||p|op||||00||0|eng|d |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.3835/plantgenome2017.11.0104 |
| 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 |
|---|
| 9 (RLIN) |
5411 |
| Personal name |
González-Camacho, J.M. |
| 245 1# - TITLE STATEMENT |
|---|
| Title |
Applications of machine learning methods to genomic selection in breeding wheat for rust resistance |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Madison, U.S. : |
| Name of publisher, distributor, etc. |
Crop Science Society of America, |
| Date of publication, distribution, etc. |
2018. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
New methods and algorithms are being developed for predicting untested phenotypes in schemes commonly used in genomic selection (GS). The prediction of disease resistance in GS has its own peculiarities: a) there is consensus about the additive nature of quantitative adult plant resistance (APR) genes, although epistasis has been found in some populations; b) rust resistance requires effective combinations of major and minor genes; and c) disease resistance is commonly measured based on ordinal scales (e.g., scales from 1?5, 1?9, etc.). Machine learning (ML) is a field of computer science that uses algorithms and existing samples to capture characteristics of target patterns. In this paper we discuss several state-of-the-art ML methods that could be applied in GS. Many of them have already been used to predict rust resistance in wheat. Others are very appealing, given their performance for predicting other wheat traits with similar characteristics. We briefly describe the proposed methods in the Appendix. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 591 ## - CATALOGING NOTES |
|---|
| Affiliation |
CIMMYT Informa : 2019 (September 13, 2018) |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
5832 |
| Topical term or geographic name as entry element |
Genomic features |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Breeding |
| Miscellaneous information |
AGROVOC |
| Source of heading or term |
|
| 9 (RLIN) |
1029 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Wheat |
| Miscellaneous information |
AGROVOC |
| Source of heading or term |
|
| 9 (RLIN) |
1310 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Plant diseases |
| Miscellaneous information |
AGROVOC |
| Source of heading or term |
|
| 9 (RLIN) |
1206 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
5410 |
| Personal name |
Ornella, L. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
2703 |
| Personal name |
Perez-Rodriguez, P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gianola, D. |
| 9 (RLIN) |
7797 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
851 |
| Personal name |
Dreisigacker, S. |
| Miscellaneous information |
Global Wheat Program |
| Field link and sequence number |
INT2692 |
| 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 |
|---|
| Place, publisher, and date of publication |
Crop Science Society of America, 2018 |
| Related parts |
v. 11, no. 2, art. 170104 |
| Title |
Plant Genome |
| Record control number |
u94757 |
| International Standard Serial Number |
1940-3372 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://repository.cimmyt.org/handle/10883/19573 |
| Link text |
Open Access through DSpace |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Suppress in OPAC |
No |