MARC details
000 -LEADER |
fixed length control field |
04256nab|a22005057a|4500 |
001 - CONTROL NUMBER |
control field |
65778 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
MX-TxCIM |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231019162126.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
202210s2022||||mx |||p|op||||00||0|eng|d |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
International Standard Serial Number |
2214-5141 |
024 8# - OTHER STANDARD IDENTIFIER |
Standard number or code |
https://doi.org/10.1016/j.cj.2022.09.004 |
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 |
Yu, G. |
9 (RLIN) |
13522 |
245 10 - TITLE STATEMENT |
Title |
Comparison of sequencing-based and array-based genotyping platforms for genomic prediction of maize hybrid performance |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc. |
Elsevier, |
Date of publication, distribution, etc. |
2023. |
Place of publication, distribution, etc. |
Netherlands : |
500 ## - GENERAL NOTE |
General note |
Peer review |
500 ## - GENERAL NOTE |
General note |
Open Access |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Genomic selection (GS) is a powerful tool for improving genetic gain in maize breeding. However, its routine application in large-scale breeding pipelines is limited by the high cost of genotyping platforms. Although sequencing-based and array-based genotyping platforms have been used for GS, few studies have compared prediction performance among platforms. In this study, we evaluated the predictabilities of four agronomic traits in 305 maize hybrids derived from 149 parental lines subjected to genotyping by sequencing (GBS), a 40K SNP array, and target sequence capture (TSC) using eight GS models. The GBS marker dataset yielded the highest predictabilities for all traits, followed by TSC and SNP array datasets. We investigated the effect of marker density and statistical models on predictability among genotyping platforms and found that 1K SNPs were sufficient to achieve comparable predictabilities to 10K and all SNPs, and BayesB, GBLUP, and RKHS performed well, while XGBoost performed poorly in most cases. We also selected significant SNP subsets using genome-wide association study (GWAS) analyses in three panels to predict hybrid performance. GWAS facilitated selecting effective SNP subsets for GS and thus reduced genotyping cost, but depended heavily on the GWAS panel. We conclude that there is still room for optimization of the existing SNP array, and using genotyping by target sequencing (GBTS) techniques to integrate a few functional markers identified by GWAS into the 1K SNP array holds great promise of being an effective strategy for developing desirable GS breeding arrays. |
546 ## - LANGUAGE NOTE |
Language note |
Text in English |
591 ## - CATALOGING NOTES |
Affiliation |
Rodriguez-Chanona, E. : Not in IRS staff list but CIMMYT Affiliation |
591 ## - CATALOGING NOTES |
Affiliation |
Guadarrama, A. : Not in IRS staff list but CIMMYT Affiliation |
591 ## - CATALOGING NOTES |
Affiliation |
Kehel, Z. : Not in IRS staff list but CIMMYT Affiliation |
591 ## - CATALOGING NOTES |
Affiliation |
Chepetla, D. : Not in IRS staff list but CIMMYT Affiliation |
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 |
Maize |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1173 |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Single nucleotide polymorphisms |
Miscellaneous information |
AGROVOC |
9 (RLIN) |
10805 |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Hybrids |
Source of heading or term |
AGROVOC |
9 (RLIN) |
1151 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Cui, Y. |
9 (RLIN) |
29401 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Jiao, Y. |
9 (RLIN) |
29402 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Zhou, K. |
9 (RLIN) |
29403 |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xin Wang |
9 (RLIN) |
6995 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Yang, W. |
9 (RLIN) |
29404 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Xu, Y. |
9 (RLIN) |
29405 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Yang, K. |
9 (RLIN) |
29406 |
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 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Pengcheng Li |
9 (RLIN) |
17447 |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Zefeng Yang |
9 (RLIN) |
17448 |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Yang Xu |
9 (RLIN) |
17252 |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Chenwu Xu |
9 (RLIN) |
17254 |
773 0# - HOST ITEM ENTRY |
Title |
Crop Journal |
Related parts |
v. 11, no. 2, p. 490-498 |
Place, publisher, and date of publication |
Netherlands : Elsevier, 2023. |
International Standard Serial Number |
2214-5141 |
Record control number |
56924 |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Link text |
Open Access through DSpace |
Uniform Resource Identifier |
https://hdl.handle.net/10883/22283 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Article |
Suppress in OPAC |
No |
Source of classification or shelving scheme |
Dewey Decimal Classification |