Record Details

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
 
Identifier https://hdl.handle.net/11529/10548649
 
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.
 
Publisher CIMMYT Research Data & Software Repository Network
 
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.
 
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
 
Language English
 
Date 2022
 
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
 
Type Experimental data
Phenotypic data