Knowledge Center Catalog

Joint use of genome, pedigree, and their interaction with environment for predicting the performance of wheat lines in new environments (Record no. 60940)

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
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
09/14/2019   09/14/2019 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 09/14/2019

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