MARC details
000 -LEADER |
fixed length control field |
02754nab|a22003737a|4500 |
001 - CONTROL NUMBER |
control field |
61989 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240919020951.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200529s2020||||xxk|||p|op||||00||0|eng|d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
2045-2322 |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.1038/s41598-020-65011-2 |
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 |
Lopez-Cruz, M. |
9 (RLIN) |
2348 |
245 1# - TITLE STATEMENT |
Title |
Regularized selection indices for breeding value prediction using hyper-spectral image data |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
London (United Kingdom) : |
Name of publisher, distributor, etc. |
Nature Publishing Group, |
Date of publication, distribution, etc. |
2020. |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
High-throughput phenotyping (HTP) technologies can produce data on thousands of phenotypes per unit being monitored. These data can be used to breed for economically and environmentally relevant traits (e.g., drought tolerance); however, incorporating high-dimensional phenotypes in genetic analyses and in breeding schemes poses important statistical and computational challenges. To address this problem, we developed regularized selection indices; the methodology integrates techniques commonly used in high-dimensional phenotypic regressions (including penalization and rank-reduction approaches) into the selection index (SI) framework. Using extensive data from CIMMYT?s (International Maize and Wheat Improvement Center) wheat breeding program we show that regularized SIs derived from hyper-spectral data offer consistently higher accuracy for grain yield than those achieved by standard SIs, and by vegetation indices commonly used to predict agronomic traits. Regularized SIs offer an effective approach to leverage HTP data that is routinely generated in agriculture; the methodology can also be used to conduct genetic studies using high-dimensional phenotypes that are often collected in humans and model organisms including body images and whole-genome gene expression profiles. |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1853 |
Topical term or geographic name as entry element |
Quantitative Trait Loci |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Source of heading or term |
AGROVOC |
9 (RLIN) |
2624 |
Topical term or geographic name as entry element |
Statistical methods |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Source of heading or term |
AGROVOC |
9 (RLIN) |
3634 |
Topical term or geographic name as entry element |
Phenotypes |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Olson, E. |
9 (RLIN) |
13649 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Rovere, G. |
9 (RLIN) |
13650 |
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 |
Dreisigacker, S. |
Field link and sequence number |
INT2692 |
9 (RLIN) |
851 |
Miscellaneous information |
Global Wheat Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Mondal, S. |
Miscellaneous information |
Formerly Global Wheat Program |
Field link and sequence number |
INT3211 |
9 (RLIN) |
904 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Singh, R.P. |
Miscellaneous information |
Global Wheat Program |
Field link and sequence number |
INT0610 |
9 (RLIN) |
825 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
De los Campos, G. |
Field link and sequence number |
CCAG01 |
9 (RLIN) |
2349 |
Miscellaneous information |
Genetic Resources Program |
773 0# - HOST ITEM ENTRY |
Title |
Nature Scientific Reports |
Related parts |
v. 10, no. 1, art. 8195 |
Place, publisher, and date of publication |
London (United Kingdom) : Nature Publishing Group, 2020. |
International Standard Serial Number |
2045-2322 |
Record control number |
a58025 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/20890 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |