Sparse testcrossing for early-stage genomic prediction of GCA to increase genetic gain in maize hybrid breeding programs

Files

https://hdl.handle.net/10883/36252 (1.52 MB, pdf)

Authors

González-Diéguez, David

Werner, Christian

Date Issued

Metadata

Citation

González-Diéguez, D. O., & Werner, C. R. (2025, September 30). Sparse testcrossing for early-stage genomic prediction of GCA to increase genetic gain in maize hybrid breeding programs. [Presentation]. Roslin Institute, CIMMYT, & CGIAR. https://hdl.handle.net/10883/36252

Permanent link to cite or share this item

https://hdl.handle.net/10568/178624

External link to download this item

https://hdl.handle.net/10883/36252

Author ORCID identifiers

David Omar González-Diéguez https://orcid.org/0000-0002-8637-1835
Christian Werner https://orcid.org/0000-0001-9400-5061

Organizations Affiliated to the Authors

International Maize and Wheat Improvement Center

Investors/sponsors

Bill & Melinda Gates Foundation

CGIAR Action Areas

Genetic Innovation

CGIAR Impact Areas

Nutrition, health & food security

CGIAR Programs and Accelerators

Breeding for Tomorrow

CGIAR Initiatives

Accelerated Breeding

Collections

CGIAR Science Program on Breeding for Tomorrow
CGIAR Initiative on Accelerated Breeding

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Type

Review Status

Peer Review

Language

en

AGROVOC Keywords

tests; cross-breeding; genomics; forecasting; genetic gain; maize; hybrids; breeding programmes

Access Rights

Open Access

Usage Rights

Attention