MARC details
000 -LEADER |
fixed length control field |
03407nab|a22004097a|4500 |
001 - CONTROL NUMBER |
control field |
65174 |
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/s00122-022-04085-0 |
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 |
9 (RLIN) |
8531 |
Miscellaneous information |
Global Maize Program |
-- |
Formerly Global Wheat Program |
245 11 - TITLE STATEMENT |
Title |
Sparse testing using genomic prediction improves selection for breeding targets in elite 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. |
Key message: Sparse testing using genomic prediction can be efficiently used to increase the number of testing environments while maintaining selection intensity in the early yield testing stage without increasing the breeding budget. Abstract: Sparse testing using genomic prediction enables expanded use of selection environments in early-stage yield testing without increasing phenotyping cost. We evaluated different sparse testing strategies in the yield testing stage of a CIMMYT spring wheat breeding pipeline characterized by multiple populations each with small family sizes of 1–9 individuals. Our results indicated that a substantial overlap between lines across environments should be used to achieve optimal prediction accuracy. As sparse testing leverages information generated within and across environments, the genetic correlations between environments and genomic relationships of lines across environments were the main drivers of prediction accuracy in multi-environment yield trials. Including information from previous evaluation years did not consistently improve the prediction performance. Genomic best linear unbiased prediction was found to be the best predictor of true breeding value, and therefore, we propose that it should be used as a selection decision metric in the early yield testing stages. We also propose it as a proxy for assessing prediction performance to mirror breeder’s advancement decisions in a breeding program so that it can be readily applied for advancement decisions by 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 |
Genes |
Source of heading or term |
AGROVOC |
9 (RLIN) |
3563 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Breeding programmes |
Source of heading or term |
AGROVOC |
9 (RLIN) |
21704 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Genomics |
9 (RLIN) |
1132 |
Source of heading or term |
AGROVOC |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Accuracy |
Source of heading or term |
AGROVOC |
9 (RLIN) |
27100 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Environment |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1098 |
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 |
Forecasting |
Source of heading or term |
AGROVOC |
9 (RLIN) |
2701 |
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 |
Personal name |
Singh, R.P. |
Field link and sequence number |
INT0610 |
9 (RLIN) |
825 |
Miscellaneous information |
Global Wheat Program |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Robbins, K. |
9 (RLIN) |
5987 |
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 |
Bentley, A.R. |
Field link and sequence number |
001712492 |
Miscellaneous information |
Formerly Global Wheat Program |
9 (RLIN) |
9599 |
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, no. 6, p. 1939–1950 |
Record control number |
G444762 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/22045 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |