MARC details
000 -LEADER |
fixed length control field |
03611nab|a22004217a|4500 |
001 - CONTROL NUMBER |
control field |
60940 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240919021226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
190913s2019||||xxu|||p|op||||00||0|eng|d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
2160-1836 |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.1534/g3.119.400508 |
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 |
Howard, R. |
9 (RLIN) |
7898 |
245 10 - TITLE STATEMENT |
Title |
Joint use of genome, pedigree, and their interaction with environment for predicting the performance of wheat lines in new environments |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Bethesda, MD (USA) : |
Name of publisher, distributor, etc. |
Genetics Society of America, |
Date of publication, distribution, etc. |
2019. |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Genome-enabled prediction plays an essential role in wheat breeding because it has the potential to increase the rate of genetic gain relative to traditional phenotypic and pedigree-based selection. Since the performance of wheat lines is highly influenced by environmental stimuli, it is important to accurately model the environment and its interaction with genetic factors in prediction models. Arguably, multi-environmental best linear unbiased prediction (BLUP) may deliver better prediction performance than single-environment genomic BLUP. We evaluated pedigree and genome-based prediction using 35,403 wheat lines from the Global Wheat Breeding Program of the International Maize and Wheat Improvement Center (CIMMYT). We implemented eight statistical models that included genome-wide molecular marker and pedigree information as prediction inputs in two different validation schemes. All models included main effects, but some considered interactions between the different types of pedigree and genomic covariates via Hadamard products of similarity kernels. Pedigree models always gave better prediction of new lines in observed environments than genome-based models when only main effects were fitted. However, for all traits, the highest predictive abilities were obtained when interactions between pedigree, genomes, and environments were included. When new lines were predicted in unobserved environments, in almost all trait/year combinations, the marker main-effects model was the best. These results provide strong evidence that the different sources of genetic information (molecular markers and pedigree) are not equally useful at different stages of the breeding pipelines, and can be employed differentially to improve the design and prediction of the outcome of future breeding programs. |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Genomes |
Miscellaneous information |
AGROVOC |
Source of heading or term |
|
9 (RLIN) |
1131 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1133 |
Topical term or geographic name as entry element |
Genotype environment interaction |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Plant breeding |
Miscellaneous information |
AGROVOC |
Source of heading or term |
|
9 (RLIN) |
1203 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Source of heading or term |
AGROVOC |
9 (RLIN) |
7028 |
Topical term or geographic name as entry element |
Breeding lines |
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 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gianola, D. |
9 (RLIN) |
7797 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Montesinos-Lopez, O.A. |
Field link and sequence number |
I1706800 |
9 (RLIN) |
2700 |
Miscellaneous information |
Genetic Resources Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
JULIANA P. |
Field link and sequence number |
001710082 |
Miscellaneous information |
Formerly Global Wheat Program |
-- |
Formerly BISA |
9 (RLIN) |
2690 |
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 |
Poland, J.A. |
9 (RLIN) |
2092 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Shrestha, S. |
9 (RLIN) |
8259 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Perez-Rodriguez, P. |
9 (RLIN) |
2703 |
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 |
Jarquín, D. |
9 (RLIN) |
1934 |
773 0# - HOST ITEM ENTRY |
Title |
G3: Genes, Genomes, Genetics |
Related parts |
v. 9, no. 9, p. 2925-2934 |
Place, publisher, and date of publication |
Bethesda, MD (USA) : Genetics Society of America, 2019. |
International Standard Serial Number |
2160-1836 |
Record control number |
u56922 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/20542 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |