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 remain scanty. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) assess the contribution of differ...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Springer
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/151889 |
| _version_ | 1855529608324055040 |
|---|---|
| author | Kihara, Job Sileshi, Gudeta W. Bolo, Peter Mutambu, Dominic Senthilkumar, Kalimuthu Sila, Andrew Devkota, Mina Saito, Kazuki |
| author_browse | Bolo, Peter Devkota, Mina Kihara, Job Mutambu, Dominic Saito, Kazuki Senthilkumar, Kalimuthu Sila, Andrew Sileshi, Gudeta W. |
| author_facet | Kihara, Job Sileshi, Gudeta W. Bolo, Peter Mutambu, Dominic Senthilkumar, Kalimuthu Sila, Andrew Devkota, Mina Saito, Kazuki |
| author_sort | Kihara, Job |
| 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 remain scanty. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) assess the contribution of different agronomic practices to the effectiveness of Zn fertilizers for increasing grain yields, and Zn and Fe levels in maize grain; and (3) identify key biophysical factors and metrics to more effectively guide agronomic biofortification of Zn. Using 5874 data points in 138 published papers from 34 countries, we estimated a 7.5% probability of grain-Zn concentrations exceeding the benchmark target of 38 mg kg −1 . Using 3187 data points from 65 studies across 27 countries we estimated a 8.5% probability of grain-Fe concentrations exceeding the target of 60 mg kg −1 . Our 70-paper meta-analysis revealed that applying Zn and/or Fe in combination with inorganic NPK fertilizer can increase maize-grain-Zn and-Fe concentrations by 31% ( p < 0.01) relative to the control (NPK only). In 52% and 37.5% of the studies respectively, grain-Zn and -Fe levels showed significant and concomitant increase with grain-yield increases. Soil organic matter, pH, soil-available Zn, organic input applications, and N, Zn and Fe application rates and methods were among the key factors influencing grain Zn and Fe. We conclude there is substantial room for increasing maize-grain Zn and Fe concentrations, and applying Zn, especially in combined soil and foliar applications, gives substantial increases in grain-Zn and -Fe concentrations. This global review reveals large data gaps on maize-grain nutrient levels, and we call for routine collection of such information in future research. |
| format | Journal Article |
| id | CGSpace151889 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | CGSpace1518892025-11-12T04:58:08Z Maize-grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis Kihara, Job Sileshi, Gudeta W. Bolo, Peter Mutambu, Dominic Senthilkumar, Kalimuthu Sila, Andrew Devkota, Mina Saito, Kazuki biofortification zinc nutrition security iron meta-analysis Human Zn and Fe deficiencies can be reduced through agronomic biofortification, but information on factors influencing maize grain-Zn and -Fe levels remain scanty. This analysis: (1) Establishes the global distribution of Zn and Fe concentrations in maize grain; (2) assess the contribution of different agronomic practices to the effectiveness of Zn fertilizers for increasing grain yields, and Zn and Fe levels in maize grain; and (3) identify key biophysical factors and metrics to more effectively guide agronomic biofortification of Zn. Using 5874 data points in 138 published papers from 34 countries, we estimated a 7.5% probability of grain-Zn concentrations exceeding the benchmark target of 38 mg kg −1 . Using 3187 data points from 65 studies across 27 countries we estimated a 8.5% probability of grain-Fe concentrations exceeding the target of 60 mg kg −1 . Our 70-paper meta-analysis revealed that applying Zn and/or Fe in combination with inorganic NPK fertilizer can increase maize-grain-Zn and-Fe concentrations by 31% ( p < 0.01) relative to the control (NPK only). In 52% and 37.5% of the studies respectively, grain-Zn and -Fe levels showed significant and concomitant increase with grain-yield increases. Soil organic matter, pH, soil-available Zn, organic input applications, and N, Zn and Fe application rates and methods were among the key factors influencing grain Zn and Fe. We conclude there is substantial room for increasing maize-grain Zn and Fe concentrations, and applying Zn, especially in combined soil and foliar applications, gives substantial increases in grain-Zn and -Fe concentrations. This global review reveals large data gaps on maize-grain nutrient levels, and we call for routine collection of such information in future research. 2024-10 2024-08-28T13:40:21Z 2024-08-28T13:40:21Z Journal Article https://hdl.handle.net/10568/151889 en Open Access application/pdf Springer Kihara, J.; Sileshi, G.W.; Bolo, P.; Mutambu, D.; Senthilkumar, K.; Sila, A.; Devkota, M.; Saito, K. (2024) Maize-grain zinc and iron concentrations as influenced by agronomic management and biophysical factors: a meta-analysis. Food Security 16: p. 1147–1173. ISSN: 1876-4517 |
| spellingShingle | biofortification zinc nutrition security iron meta-analysis Kihara, Job Sileshi, Gudeta W. Bolo, Peter Mutambu, Dominic Senthilkumar, Kalimuthu Sila, Andrew Devkota, Mina Saito, Kazuki 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 | biofortification zinc nutrition security iron meta-analysis |
| url | https://hdl.handle.net/10568/151889 |
| work_keys_str_mv | AT kiharajob maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT sileshigudetaw maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT bolopeter maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT mutambudominic maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT senthilkumarkalimuthu maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT silaandrew maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT devkotamina maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis AT saitokazuki maizegrainzincandironconcentrationsasinfluencedbyagronomicmanagementandbiophysicalfactorsametaanalysis |