Progress on breeding schemes optimization in the AGG-Maize Project

Bibliographic Details
Main Author: Beyene, Yoseph
Format: Ponencia
Language:Inglés
Published: International Maize and Wheat Improvement Center 2022
Subjects:
Online Access:https://hdl.handle.net/10568/126605
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author Beyene, Yoseph
author_browse Beyene, Yoseph
author_facet Beyene, Yoseph
author_sort Beyene, Yoseph
collection Repository of Agricultural Research Outputs (CGSpace)
format Ponencia
id CGSpace126605
institution CGIAR Consortium
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher International Maize and Wheat Improvement Center
publisherStr International Maize and Wheat Improvement Center
record_format dspace
spelling CGSpace1266052025-12-08T10:11:39Z Progress on breeding schemes optimization in the AGG-Maize Project Beyene, Yoseph maize breeding programmes genetic gain hybrids 2022-07-12 2023-01-05T09:19:00Z 2023-01-05T09:19:00Z Presentation https://hdl.handle.net/10568/126605 en Open Access application/pdf International Maize and Wheat Improvement Center Beyene, Y. (2022). Progress on breeding schemes optimization in the AGG-Maize Project. Presentation at the SA AGG- Virtual Maize Annual Collaborators Meeting, 12 July 2022. Mexico. https://hdl.handle.net/10883/22344
spellingShingle maize
breeding programmes
genetic gain
hybrids
Beyene, Yoseph
Progress on breeding schemes optimization in the AGG-Maize Project
title Progress on breeding schemes optimization in the AGG-Maize Project
title_full Progress on breeding schemes optimization in the AGG-Maize Project
title_fullStr Progress on breeding schemes optimization in the AGG-Maize Project
title_full_unstemmed Progress on breeding schemes optimization in the AGG-Maize Project
title_short Progress on breeding schemes optimization in the AGG-Maize Project
title_sort progress on breeding schemes optimization in the agg maize project
topic maize
breeding programmes
genetic gain
hybrids
url https://hdl.handle.net/10568/126605
work_keys_str_mv AT beyeneyoseph progressonbreedingschemesoptimizationintheaggmaizeproject