Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis
Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remains scant. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) Assesses different agronomic prac...
| Autores principales: | , , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/132411 |
| _version_ | 1855528979663945728 |
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| author | Job Kihara Sileshi, Gudeta W. Bolo, Peter Omondi Mutambu, Dominic Mwanzia Sila, Andrew Musili |
| author_browse | Bolo, Peter Omondi Job Kihara Mutambu, Dominic Mwanzia Sila, Andrew Musili Sileshi, Gudeta W. |
| author_facet | Job Kihara Sileshi, Gudeta W. Bolo, Peter Omondi Mutambu, Dominic Mwanzia Sila, Andrew Musili |
| author_sort | Job Kihara |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remains scant. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) Assesses different agronomic practices’ contributions to increasing maize-grain Zn and Fe levels; and (3) Identifies key biophysical factors to guide agronomic biofortification. Using 1,332 data points in 102 published papers from 24 countries, we estimated a 24% probability of grain-Zn concentrations exceeding the benchmark target of 38 mg kg−1.
Metodology:A meta analysis (2023-09) |
| format | Conjunto de datos |
| id | CGSpace132411 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| record_format | dspace |
| spelling | CGSpace1324112024-04-25T06:01:09Z Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis Job Kihara Sileshi, Gudeta W. Bolo, Peter Omondi Mutambu, Dominic Mwanzia Sila, Andrew Musili zinc Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remains scant. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) Assesses different agronomic practices’ contributions to increasing maize-grain Zn and Fe levels; and (3) Identifies key biophysical factors to guide agronomic biofortification. Using 1,332 data points in 102 published papers from 24 countries, we estimated a 24% probability of grain-Zn concentrations exceeding the benchmark target of 38 mg kg−1. Metodology:A meta analysis (2023-09) 2023-10 2023-10-24T21:24:30Z 2023-10-24T21:24:30Z Dataset https://hdl.handle.net/10568/132411 en Open Access Maguta, J.K.; Sileshi, G.W.; Bolo, P.O.; Mutambu, D.M.; Sila, A.M. (2023) Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis. https://doi.org/10.7910/DVN/SOAWL6 |
| spellingShingle | zinc Job Kihara Sileshi, Gudeta W. Bolo, Peter Omondi Mutambu, Dominic Mwanzia Sila, Andrew Musili Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title | Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title_full | Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title_fullStr | Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title_full_unstemmed | Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title_short | Maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis |
| title_sort | maize grain zinc and iron concentrations as influenced by agronomic management and biophysical factors a meta analysis |
| topic | zinc |
| url | https://hdl.handle.net/10568/132411 |
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