Knowledge Center Catalog

Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat (Record no. 65424)

MARC details
000 -LEADER
fixed length control field 03261nab|a22004697a|4500
001 - CONTROL NUMBER
control field 65424
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919020954.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 20221s2022||||mx |||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0040-5752
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1432-2242 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1007/s00122-022-04147-3
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 Fentaye Kassa Semagn
Field link and sequence number INT2869
9 (RLIN) 869
Miscellaneous information Global Maize Program
245 1# - TITLE STATEMENT
Title Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2022.
Place of publication, distribution, etc. Berlin (Germany) :
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. The predictive ability of multi-trait and single-trait prediction models has not been investigated on diverse traits evaluated under organic and conventional management systems. Here, we compared the predictive abilities of 25% of a testing set that has not been evaluated for a single trait (ST), not evaluated for multi-traits (MT1), and evaluated for some traits but not others (MT2) in three spring wheat populations genotyped either with the wheat 90K single nucleotide polymorphisms array or DArTseq. Analyses were performed on seven agronomic traits evaluated under conventional and organic management systems, four to seven disease resistance traits, and all agronomic and disease resistance traits simultaneously. The average prediction accuracies of the ST, MT1, and MT2 models varied from 0.03 to 0.78 (mean 0.41), from 0.05 to 0.82 (mean 0.47), and from 0.05 to 0.92 (mean 0.67), respectively. The predictive ability of the MT2 model was significantly greater than the ST model in all traits and populations except common bunt with the MT1 model being intermediate between them. The MT2 model increased prediction accuracies over the ST and MT1 models in all traits by 9.0–82.4% (mean 37.3%) and 2.9–82.5% (mean 25.7%), respectively, except common bunt that showed up to 7.7% smaller accuracies in two populations. A joint analysis of all agronomic and disease resistance traits further improved accuracies within the MT1 and MT2 models on average by 21.4% and 17.4%, respectively, as compared to either the agronomic or disease resistance traits, demonstrating the high potential of the multi-traits models in improving prediction accuracies.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Agronomy
Source of heading or term AGROVOC
9 (RLIN) 6289
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Forecasting
Source of heading or term AGROVOC
9 (RLIN) 2701
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Disease resistance
Source of heading or term AGROVOC
9 (RLIN) 1077
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Modelling
Source of heading or term AGROVOC
9 (RLIN) 11710
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Spring wheat
Source of heading or term AGROVOC
9 (RLIN) 1806
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Genes
Source of heading or term AGROVOC
9 (RLIN) 3563
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 Cuevas, J.
9 (RLIN) 4437
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Iqbal, M.
9 (RLIN) 11300
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ciechanowska, I.
9 (RLIN) 27368
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Henríquez, M.A.
9 (RLIN) 21986
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Randhawa, H. S.
9 (RLIN) 5865
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Beres, B.L.
9 (RLIN) 8802
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Aboukhaddour, R.
9 (RLIN) 11627
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name McCallum, B.D.
9 (RLIN) 11628
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Brûlé-Babel, A.L.
9 (RLIN) 27370
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name N’Diaye, A.
9 (RLIN) 3087
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pozniak, C.J.
9 (RLIN) 3065
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Spaner, D.
9 (RLIN) 17724
773 0# - HOST ITEM ENTRY
Title Theoretical and Applied Genetics
Place, publisher, and date of publication Berlin (Germany) : Springer, 2022
International Standard Serial Number 0040-5752
Related parts v 135, p. 2747–2767
Record control number G444762
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
07/03/2022   07/03/2022 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 07/03/2022

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