Replication Data for: Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa (doi:10.7910/DVN/8AJQJJ)

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Replication Data for: Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa

doi:10.7910/DVN/8AJQJJ

Harvard Dataverse

2017-07-10

1

Kihara, Job; Sileshi, Gudeta W.; Nziguheba, Generose; Kinyua, Michael; Zingore, Shamie; Sommer, Rolf, 2017, "Replication Data for: Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa", https://doi.org/10.7910/DVN/8AJQJJ, Harvard Dataverse, V1

Replication Data for: Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa

doi:10.7910/DVN/8AJQJJ

Kihara, Job (International Center for Tropical Agriculture - CIAT)

Sileshi, Gudeta W. (International Center for Tropical Agriculture - CIAT)

Nziguheba, Generose (International Institute of Tropical Agriculture - IITA)

Kinyua, Michael (Kenyatta University)

Zingore, Shamie (International Plant Nutrition Institute, Sub-Saharan Africa Program - IFDC)

Sommer, Rolf (International Center for Tropical Agriculture - CIAT)

International Center for Tropical Agriculture

Harvard Dataverse

International Center for Tropical Agriculture

CIAT Data and Research Methods

Garcia, Carolina

2017-06-12

https://doi.org/10.7910/DVN/8AJQJJ

Agricultural Sciences, Earth and Environmental Sciences, Agronomic efficiency, Boundary analysis, Meta-analysis, Sulfur, Effect size, Response ratio, Africa, Soils

Agronomy

Secondary and micronutrients are important in enhancing crop productivity; yet, they are hardly studied in sub-Sahara Africa. In this region, the main focus has been on macronutrients but there is emerging though scattered evidence of crop productivity limitations by the secondary and micronutrients. Elsewhere, widespread deficiencies of these nutrients are associated with stagnation of yields. In total, 530 rows of yield data were extracted from the 40 papers of which 49.4% were on sulfur (S) response, 23.0% on Zn, 7.4% on Cu, 3.0% on Mo, 4.5% on Fe, 1.1% on boron (B), and 11.5% involved two or more, i.e., S and micronutrient combinations. Here, we undertake a meta-analysis using 40 articles reporting crop response to secondary and micronutrients to (1) determine the productivity increase of crops and nutrient use efficiency associated with these nutrients, and (2) provide synthesis of responses to secondary nutrients and micronutrients in sub-Sahara Africa. This study used 757 yield data rows (530 from publications and 227 from Africa Soil Information Service) from field trials carried out in SSA between 1969 and 2013 in 14 countries. Data from publications constituted response to S (49.4%), Zn (23.0%), S and micronutrient combinations (11.5%), and <10% each for Cu, Mo, Fe, and B. Data from Africa Soil Information Service were all for S and micronutrient combinations. Of the two sources, most yield data are for maize (73.6%), followed by sorghum (6.7%) and wheat (6.1%) while rice, cowpea, faba bean, tef, and soybean each accounted for less than 5%. The major points are the following: (1) application of S and micronutrients increased maize yield by 0.84 t ha−1 (i.e., 25%) over macronutrient only treatment and achieved agronomic efficiencies (kilograms of grain increase per kilogram of micronutrient added) between 38 and 432 and (2) response ratios were >1 for S and all micronutrients, i.e., the probability of response ratio exceeding 1 was 0.77 for S and 0.83 for Zn, 0.95 for Cu, and 0.92 for Fe, and indicates positive crop response for a majority of farmers. We conclude that S and micronutrients are holding back crop productivity especially on soils where response to macronutrients is low and that more research is needed to unravel conditions under which application of S and micronutrients may pose financial risks.

Sub-Saharan Africa

Aggregate Data

Soil Data

Meta analysis of published literature

Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study.

<P><a rel="license" href="http://creativecommons.org/licenses/by/4.0/" target="_blank"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a><br /> These data and documents are licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank"> Creative Commons Attribution 4.0 International license.</a> You may copy, distribute and transmit the data as long as you acknowledge the source through proper <a href="http://best-practices.dataverse.org/data-citation/" target="_blank">data citation</a>.</P> <Strong>Disclaimer</Strong> <P> Whilst utmost care has been taken by CIAT and data authors while collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, CIAT, or relevant funding agencies be liable for any actual, incidental or consequential damages arising from use of the data. <BR/><BR/> By using the CIAT Dataverse, the user expressly acknowledges that the Data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. <BR/><BR/> The user should always verify actual data; therefore the user bears all responsibility in determining whether the data is fit for the user’s intended use. The user of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the metadata section of the Dataverse study. </P>

Kihara, j., Sileshi, GW, Nziguheba, G., Kinyua, M, Zingore, S., Sommer. R. (2017). Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa. Agronomy for Sustainable Development, 1-19 p.

10.1007/s13593-017-0431-0

Kihara, j., Sileshi, GW, Nziguheba, G., Kinyua, M, Zingore, S., Sommer. R. (2017). Application of secondary nutrients and micronutrients increases crop yields in sub-Saharan Africa. Agronomy for Sustainable Development, 1-19 p.

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01. Dictonary.xls

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Document detailing the traits used

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02. Micronutrients_SSA_Publication data.xlsx

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