MARC details
000 -LEADER |
fixed length control field |
03783nab|a22004577a|4500 |
001 - CONTROL NUMBER |
control field |
62827 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240919021229.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
201030s2021||||gw |||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/s00122-020-03696-9 |
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 |
Atanda, A.S. |
Field link and sequence number |
001711295 |
-- |
001712571 |
Miscellaneous information |
Global Maize Program |
-- |
Formerly Global Wheat Program |
9 (RLIN) |
8531 |
245 10 - TITLE STATEMENT |
Title |
Maximizing efficiency of genomic selection in CIMMYT's tropical maize breeding program |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Berlin (Germany) : |
Name of publisher, distributor, etc. |
Springer, |
Date of publication, distribution, etc. |
2021. |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Key message Historical data from breeding programs can be efficiently used to improve genomic selection accuracy, especially when the training set is optimized to subset individuals most informative of the target testing set. The current strategy for large-scale implementation of genomic selection (GS) at the International Maize and Wheat Improvement Center (CIMMYT) global maize breeding program has been to train models using information from full-sibs in a "test-half-predict-half approach." Although effective, this approach has limitations, as it requires large full-sib populations and limits the ability to shorten variety testing and breeding cycle times. The primary objective of this study was to identify optimal experimental and training set designs to maximize prediction accuracy of GS in CIMMYT's maize breeding programs. Training set (TS) design strategies were evaluated to determine the most efficient use of phenotypic data collected on relatives for genomic prediction (GP) using datasets containing 849 (DS1) and 1389 (DS2) DH-lines evaluated as testcrosses in 2017 and 2018, respectively. Our results show there is merit in the use of multiple bi-parental populations as TS when selected using algorithms to maximize relatedness between the training and prediction sets. In a breeding program where relevant past breeding information is not readily available, the phenotyping expenditure can be spread across connected bi-parental populations by phenotyping only a small number of lines from each population. This significantly improves prediction accuracy compared to within-population prediction, especially when the TS for within full-sib prediction is small. Finally, we demonstrate that prediction accuracy in either sparse testing or "test-half-predict-half" can further be improved by optimizing which lines are planted for phenotyping and which lines are to be only genotyped for advancement based on GP. |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Marker-assisted selection |
Source of heading or term |
AGROVOC |
9 (RLIN) |
10737 |
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 |
Topical term or geographic name as entry element |
Maize |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1173 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Olsen, M. |
Field link and sequence number |
INT3333 |
9 (RLIN) |
923 |
Miscellaneous information |
Global Maize Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
BurgueƱo, J. |
Field link and sequence number |
INT3239 |
9 (RLIN) |
907 |
Miscellaneous information |
Genetic Resources Program |
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 |
Dzidzienyo, D. |
9 (RLIN) |
16831 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Beyene, Y. |
Field link and sequence number |
INT2891 |
9 (RLIN) |
870 |
Miscellaneous information |
Global Maize Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Gowda, M. |
Field link and sequence number |
I1705963 |
9 (RLIN) |
795 |
Miscellaneous information |
Global Maize Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Dreher, K.A. |
Field link and sequence number |
I1706147 |
9 (RLIN) |
808 |
Miscellaneous information |
Genetic Resources Program |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xuecai Zhang |
Miscellaneous information |
Global Maize Program |
Field link and sequence number |
INT3400 |
9 (RLIN) |
951 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Prasanna, B.M. |
Miscellaneous information |
Global Maize Program |
Field link and sequence number |
INT3057 |
9 (RLIN) |
887 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Tongoona, P.B. |
Field link and sequence number |
001713456 |
Miscellaneous information |
Formerly Excellence in Breeding |
9 (RLIN) |
340 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Danquah, E. |
9 (RLIN) |
6758 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Olaoye, G. |
9 (RLIN) |
2299 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Robbins, K. |
9 (RLIN) |
5987 |
773 0# - HOST ITEM ENTRY |
Place, publisher, and date of publication |
Berlin (Germany) : Springer, 2021. |
International Standard Serial Number |
0040-5752 |
Related parts |
v. 134, no. 1, p. 279-294 |
Title |
Theoretical and Applied Genetics |
Record control number |
u444762 |
856 4# - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/21003 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |