MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03077nab a22003857a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
59300 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240919020949.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180226s2017 mdu|||p|op||| 00| 0 eng d |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1534/g3.117.042341 |
| 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) |
6505 |
| Personal name |
Bandeira e Sousa, M. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Genomic-enabled prediction in maize using kernel models with genotype x environment interaction |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Bethesda, Maryland, U.S. : |
| Name of publisher, distributor, etc. |
Genetics Society of America, |
| Date of publication, distribution, etc. |
2017. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Open Access |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Multi-environment trials are routinely conducted in plant breeding to select candidates for the next selection cycle. In this study, we compare the prediction accuracy of four developed genomic-enabled prediction models: (1) single-environment, main genotypic effect model (SM); (2) multi-environment, main genotypic effects model (MM); (3) multi-environment, single variance G×E deviation model (MDs); and (4) multi-environment, environment-specific variance G×E deviation model (MDe). Each of these four models were fitted using two kernel methods: a linear kernel Genomic Best Linear Unbiased Predictor, GBLUP (GB), and a nonlinear kernel Gaussian kernel (GK). The eight model-method combinations were applied to two extensive Brazilian maize data sets (HEL and USP data sets), having different numbers of maize hybrids evaluated in different environments for grain yield (GY), plant height (PH), and ear height (EH). Results show that the MDe and the MDs models fitted with the Gaussian kernel (MDe-GK, and MDs-GK) had the highest prediction accuracy. For GY in the HEL data set, the increase in prediction accuracy of SM-GK over SM-GB ranged from 9 to 32%. For the MM, MDs, and MDe models, the increase in prediction accuracy of GK over GB ranged from 9 to 49%. For GY in the USP data set, the increase in prediction accuracy of SM-GK over SM-GB ranged from 0 to 7%. For the MM, MDs, and MDe models, the increase in prediction accuracy of GK over GB ranged from 34 to 70%. For traits PH and EH, gains in prediction accuracy of models with GK compared to models with GB were smaller than those achieved in GY. Also, these gains in prediction accuracy decreased when a more difficult prediction problem was studied. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Program name |
Maize CRP |
| Maize Flagship Projects |
FP2 - Novel tools, technologies and traits for improving genetic gains and breeding efficiency |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
2701 |
| Topical term or geographic name as entry element |
Forecasting |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1132 |
| Topical term or geographic name as entry element |
Genomics |
| Source of heading or term |
AGROVOC |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Maize |
| Miscellaneous information |
AGROVOC |
| Source of heading or term |
|
| 9 (RLIN) |
1173 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
1133 |
| Topical term or geographic name as entry element |
Genotype environment interaction |
| Source of heading or term |
AGROVOC |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
4437 |
| Personal name |
Cuevas, J. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
6506 |
| Personal name |
De Oliveira Couto, E.G. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
2703 |
| Personal name |
Perez-Rodriguez, P. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
1934 |
| Personal name |
Jarquín, D. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
6507 |
| Personal name |
Fritsche-Neto, R. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
907 |
| Personal name |
Burgueño, J. |
| Miscellaneous information |
Genetic Resources Program |
| Field link and sequence number |
INT3239 |
| 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 |
|---|
| Related parts |
v. 7, no, 6, p. 1995-2014 |
| Title |
G3: Genes, Genomes, Genetics |
| Record control number |
u56922 |
| International Standard Serial Number |
2160-1836 |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/19328 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Article |
| Suppress in OPAC |
No |