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Genomic Predicted cross performance: a tool for optimizing parental combinations in breeding programs.

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Title: Genomic Predicted cross performance: a tool for optimizing parental combinations in breeding programs.
Authors: Nyaga C; Section of Plant Breeding and Genetics, School of Intergrative Plant Sciences, Cornell University, 236 Tower Road, Ithaca, NY 14853, United States.; Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, United States., Labroo MR; Excellence in Breeding Platform, Consultative Group of International Agricultural Research, International Maize and Wheat Improvement Center (CIMMYT), Carretera México-Veracruz, Km. 45, El Batán, 56237, Texcoco, Mexico., Paterne A; International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Road, Ibadan Oyo State, 200001, Nigeria., Asfaw A; International Institute of Tropical Agriculture (IITA), PMB 5320, Oyo Road, Ibadan Oyo State, 200001, Nigeria., Wolfe MD; Section of Plant Breeding and Genetics, School of Intergrative Plant Sciences, Cornell University, 236 Tower Road, Ithaca, NY 14853, United States., Tecle IY; Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, United States., Mueller LA; Section of Plant Breeding and Genetics, School of Intergrative Plant Sciences, Cornell University, 236 Tower Road, Ithaca, NY 14853, United States.; Boyce Thompson Institute, 533 Tower Road, Ithaca, NY 14853, United States.
Source: Database : the journal of biological databases and curation [Database (Oxford)] 2025 Jan 18; Vol. 2025.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford Journals Country of Publication: England NLM ID: 101517697 Publication Model: Print Cited Medium: Internet ISSN: 1758-0463 (Electronic) Linking ISSN: 17580463 NLM ISO Abbreviation: Database (Oxford) Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1758-0463
DOI:10.1093/database/baaf074