2022 CIMMYT Maize Eastern Africa Product Profile 3 Product Announcement
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
2022 CIMMYT Maize Eastern Africa Product Profile 3 Product Announcement
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Identifier |
https://hdl.handle.net/11529/10548649
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Creator |
Teklewold, Adefris
Wegary, Dagne Beyene, Yoseph Suresh, L.M. Gowda, Manje Negera, Demewoz Awas, G. Chivasa, Walter Das, Aparna Davis, Nicholas Prasanna, B.M. |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across upper altitudes of Eastern Africa and similar agro-ecologies in other regions. Following a rigorous trialing and a stage-gate advancement process culminating in the 2021 Stage 5 trials, CIMMYT advanced a total of 1 new elite maize hybrid for highlands in Eastern Africa in 2022. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrid as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARS and private seed companies, in Eastern Africa under various management and environmental conditions.
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Subject |
Agricultural Sciences
Agricultural research Crop Improvement Plant Breeding Maize Zea mays Grain Yield Grain Moisture Days to Anthesis ASI Plant Height Ear Height Ears per Plant Ear Position Bad Husk Cover Ear Aspect Plant Aspect Root Lodging Stalk Lodging Gray Leaf Spot Severity Turcicum Leaf Blight Common Rust Severity Ear Rot Incidence |
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Language |
English
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Date |
2022
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Contributor |
Dreher, Kate
Global Maize Program (GMP) Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG) Bill and Melinda Gates Foundation (BMGF) United States Agency for International Development (USAID) CGIAR Research Program on Maize (MAIZE) CGIAR |
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Type |
Experimental data
Phenotypic data |
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