Knowledge Center Catalog

Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat (Record no. 59907)

MARC details
000 -LEADER
fixed length control field 04040nab|a22005057a|4500
001 - CONTROL NUMBER
control field 59907
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021003.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190115s2019||||gw |||p|op||||00||0|eng|d
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s00122-018-3206-3
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 JULIANA P.
Field link and sequence number 001710082
Miscellaneous information Formerly ​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Global Wheat Program
-- Formerly BISA
9 (RLIN) 2690
245 1# - TITLE STATEMENT
Title Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat
Medium [Electronic Resource]
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Germany :
Name of publisher, distributor, etc. Springer,
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. Genomic selection and high-throughput phenotyping (HTP) are promising tools to accelerate breeding gains for high-yielding and climate-resilient wheat varieties. Hence, our objective was to evaluate them for predicting grain yield (GY) in drought-stressed (DS) and late-sown heat-stressed (HS) environments of the International maize and wheat improvement center?s elite yield trial nurseries. We observed that the average genomic prediction accuracies using fivefold cross-validations were 0.50 and 0.51 in the DS and HS environments, respectively. However, when a different nursery/year was used to predict another nursery/year, the average genomic prediction accuracies in the DS and HS environments decreased to 0.18 and 0.23, respectively. While genomic predictions clearly outperformed pedigree-based predictions across nurseries, they were similar to pedigree-based predictions within nurseries due to small family sizes. In populations with some full-sibs in the training population, the genomic and pedigree-based prediction accuracies were on average 0.27 and 0.35 higher than the accuracies in populations with only one progeny per cross, indicating the importance of genetic relatedness between the training and validation populations for good predictions. We also evaluated the item-based collaborative filtering approach for multivariate prediction of GY using the green normalized difference vegetation index from HTP. This approach proved to be the best strategy for across-nursery predictions, with average accuracies of 0.56 and 0.62 in the DS and HS environments, respectively. We conclude that GY is a challenging trait for across-year predictions, but GS and HTP can be integrated in increasing the size of populations screened and evaluating unphenotyped large nurseries for stress?resilience within years.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Wheat CRP
Wheat Flagship Projects FP3 - Global partnership to accelerate genetic gain in farmers field
546 ## - LANGUAGE NOTE
Language note Text in English
591 ## - CATALOGING NOTES
Affiliation Gonzalez-Perez, L. : Not in IRS Staff list but CIMMYT Affiliation
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1132
Topical term or geographic name as entry element Genomics
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
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Breeding
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1029
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1048
Topical term or geographic name as entry element Climatic factors
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1265
Topical term or geographic name as entry element Soft wheat
Source of heading or term AGROVOC
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1045
Topical term or geographic name as entry element Climate change
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 5030
Topical term or geographic name as entry element Resilience
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Montesinos-Lopez, O.A.
9 (RLIN) 2700
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 Mondal, S.
Miscellaneous information Formerly Global Wheat Program
Field link and sequence number INT3211
9 (RLIN) 904
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3850
Personal name Gonzalez-Perez, L.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2092
Personal name Poland, J.A.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Huerta-Espino, J.
Miscellaneous information Global Wheat Program
Field link and sequence number CHUE01
9 (RLIN) 397
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2608
Personal name Crespo-Herrera, L.A.
Miscellaneous information Global Wheat Program
Field link and sequence number I1706538
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Velu, G.
Field link and sequence number INT2983
9 (RLIN) 880
Miscellaneous information Global Wheat Program
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 851
Personal name Dreisigacker, S.
Miscellaneous information Global Wheat Program
Field link and sequence number INT2692
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Shrestha, S.
9 (RLIN) 8259
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2703
Personal name Perez-Rodriguez, P.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pinto Espinosa, F.
Field link and sequence number I1707012
Miscellaneous information Formerly Global Wheat Program
9 (RLIN) 4431
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
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Germany
Related parts v. 132, no. 1, p. 177-194
Title Theoretical and Applied Genetics
Record control number u444762
International Standard Serial Number 1432-2242
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://hdl.handle.net/10883/19787
Link text Open Access through DSpace
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Source of classification or shelving scheme Dewey Decimal Classification
Suppress in OPAC No
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
01/15/2019   01/15/2019 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 01/15/2019

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