MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03585nab|a22004097a|4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
64026 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MX-TxCIM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240919020953.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
20217s2021||||sz |||p|op||||00||0|eng|d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1664-462X (Online) |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.3389/fpls.2021.658267 |
| 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 |
Fritsche-Neto, R. |
| 9 (RLIN) |
6507 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs : |
| Remainder of title |
a roadmap review |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Switzerland : |
| Name of publisher, distributor, etc. |
Frontiers, |
| 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. |
The usefulness of genomic prediction (GP) for many animal and plant breeding programs has been highlighted for many studies in the last 20 years. In maize breeding programs, mostly dedicated to delivering more highly adapted and productive hybrids, this approach has been proved successful for both large- and small-scale breeding programs worldwide. Here, we present some of the strategies developed to improve the accuracy of GP in tropical maize, focusing on its use under low budget and small-scale conditions achieved for most of the hybrid breeding programs in developing countries. We highlight the most important outcomes obtained by the University of São Paulo (USP, Brazil) and how they can improve the accuracy of prediction in tropical maize hybrids. Our roadmap starts with the efforts for germplasm characterization, moving on to the practices for mating design, and the selection of the genotypes that are used to compose the training population in field phenotyping trials. Factors including population structure and the importance of non-additive effects (dominance and epistasis) controlling the desired trait are also outlined. Finally, we explain how the source of the molecular markers, environmental, and the modeling of genotype–environment interaction can affect the accuracy of GP. Results of 7 years of research in a public maize hybrid breeding program under tropical conditions are discussed, and with the great advances that have been made, we find that what is yet to come is exciting. The use of open-source software for the quality control of molecular markers, implementing GP, and envirotyping pipelines may reduce costs in an efficient computational manner. We conclude that exploring new models/tools using high-throughput phenotyping data along with large-scale envirotyping may bring more resolution and realism when predicting genotype performances. Despite the initial costs, mostly for genotyping, the GP platforms in combination with these other data sources can be a cost-effective approach for predicting the performance of maize hybrids for a large set of growing conditions. |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Quantitative genetics |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
1233 |
| 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 |
Breeding programmes |
| Source of heading or term |
AGROVOC |
| 9 (RLIN) |
21704 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Galli, G. |
| 9 (RLIN) |
8650 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Borges, K.L.R. |
| 9 (RLIN) |
21705 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
15939 |
| Personal name |
Costa-Neto, G. |
| Field link and sequence number |
001712813 |
| Miscellaneous information |
Genetic Resources Program |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Alves, F.C. |
| 9 (RLIN) |
8651 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sabadin, F. |
| 9 (RLIN) |
21706 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lyra, D.H. |
| 9 (RLIN) |
19851 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Morais, P.P.P. |
| 9 (RLIN) |
21707 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Braatz de Andrade, L.R. |
| 9 (RLIN) |
21708 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Granato, I. |
| 9 (RLIN) |
7519 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Crossa, J. |
| Miscellaneous information |
Genetic Resources Program |
| Field link and sequence number |
CCJL01 |
| 9 (RLIN) |
59 |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Frontiers in Plant Science |
| Related parts |
v. 12, art. 658267 |
| Place, publisher, and date of publication |
Switzerland : Frontiers, 2021. |
| Record control number |
56875 |
| International Standard Serial Number |
1664-462X |
| 856 4# - ELECTRONIC LOCATION AND ACCESS |
|---|
| Link text |
Open Access through DSpace |
| Uniform Resource Identifier |
https://hdl.handle.net/10883/21594 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Article |
| Suppress in OPAC |
No |
| Source of classification or shelving scheme |
Dewey Decimal Classification |