Replication Data for: Discovery of Genomic Regions Associated with Grain Yield and Agronomic Traits in Bi-parental Populations of Maize (Zea mays. L) under Optimum and Low Nitrogen Conditions
CIMMYT Research Data & Software Repository Network Dataverse OAI Archive
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Title |
Replication Data for: Discovery of Genomic Regions Associated with Grain Yield and Agronomic Traits in Bi-parental Populations of Maize (Zea mays. L) under Optimum and Low Nitrogen Conditions
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Identifier |
https://hdl.handle.net/11529/10548940
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Creator |
Kimutai, Collins
Ndlovu, Noel Chaikam, Vijay Tadesse Ertiro, Berhanu Das, Biswanath Beyene, Yoseph Kiplagat, Oliver Spillane, Charles Prasanna, B.M. Gowda, Manje |
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Publisher |
CIMMYT Research Data & Software Repository Network
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Description |
Low soil nitrogen stress can contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). Enhanced selection for improved varieites may result from a better understanding of the genomic regions associated with low nitrogen tolerance. Four F3 maize populations were used to study the genetic architecture of grain yield (GY) and its associated traits (anthesis-silking interval (ASI), anthesis date (AD), plant height (PH), ear position (EPO), and ear height (EH)) under different soil nitrogen regimes in Kenya and Zimbabwe. Information about the populations and the genotypic data used in the analyses are provided in this dataset. The results of the analysis are reported in the related journal article.
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Subject |
Agricultural Sciences
Grain Yield Ear Position Ear Height Plant Height ASI Days to Anthesis Zea mays Maize Plant Breeding Crop Improvement Agricultural research |
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Language |
English
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Date |
2023
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Contributor |
Dreher, Kate
CGIAR CGIAR Research Program on Maize (MAIZE) Global Maize Program (GMP) Bill and Melinda Gates Foundation (BMGF) Foundation for Food and Agriculture Research (FFAR) United States Agency for International Development (USAID) European Commission Science Foundation Ireland (SFI) Stress Tolerant Maize for Africa (STMA) Improved Maize for African Soils (IMAS) Accelerating Genetic Gains in Maize and Wheat for Improved Livelihoods (AGG) Development Smart Innovation through Research in Agriculture (DeSIRA) LEG4DEV |
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Type |
Genotypic data
Experimental data |
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