MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02906nab|a22004217a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
68140 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241220154346.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
202411s2024||||mx |||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
2160-1836 (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1093/g3journal/jkae246 |
| 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, A. |
| 9 (RLIN) |
2702 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Refining penalized ridge regression : |
| Remainder of title |
a novel method for optimizing the regularization parameter in genomic prediction |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Bethesda, MD (United States of America) : |
| Name of publisher, distributor, etc. |
Oxford University Press, |
| Date of publication, distribution, etc. |
2024. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Opén Access |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The popularity of genomic selection as an efficient and cost-effective approach to estimate breeding values continues to increase, due in part to the significant saving in genotyping. Ridge regression is one ofthe most popular methods used for genomic prediction; however, its efficiency (in terms of prediction performance) depends on the appropriate tunning of the penalization parameter. In this paper we propose a novel, more efficient method to select the optimal penalization parameter for Ridge regression. We compared the proposed method with the conventional method to select the penalization parameter in 14 real data sets and we found that in 13 of these, the proposed method outperformed the conventional method and across data sets the gains in prediction accuracy in terms of Pearson's correlation was of 56.15%, with not-gains observed in terms of normalized mean square error. Finally, our results show evidence of the potential of the proposed method, and we encourage its adoption to improve the selection of candidate lines in the context of plant breeding. |
| 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 |
Genomics |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1132 |
| 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 |
Breeding Value |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
8947 |
| 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 |
Best linear unbiased predictor |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
26493 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistical models |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
30393 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Montesinos-Lopez, O.A. |
| Miscellaneous information |
Genetic Resources Program |
| Field link and sequence number |
I1706800 |
| 9 (RLIN) |
2700 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lecumberry, F. |
| 9 (RLIN) |
37614 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Fariello, M.I. |
| 9 (RLIN) |
37615 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Montesinos-Lopez, J.C. |
| 9 (RLIN) |
4950 |
| 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 |
| Place, publisher, and date of publication |
Bethesda, MD (United States of America) : Oxford University Press, 2024. |
| International Standard Serial Number |
2160-1836 |
| Related parts |
v. 14, no. 12, art. jkae246 |
| Record control number |
56922 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/35128 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |