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coherent exploratory diagnostic trials, together with trial management protocols and diagnostic<br />

information; access to this facility enables partners, including farmers, to identify maize yield constraints<br />

and quantify their effects under local conditions. Once established in farmers’ fields, the trials become a<br />

resource for research while also serving as learning sites for farmers and extension agents. Results from<br />

the international trials can be incorporated into geo‐referenced databases containing the various layers<br />

of knowledge (e.g., soil maps, weather forecasts and market information) that are needed for a systems<br />

approach to crop management. In addition to helping strengthen urgently needed agronomic research<br />

capacity and enhancing information and knowledge flow, an international network of agronomists will<br />

foster the integration of crop improvement and agronomy by providing feedback on key management<br />

practices and plant traits needed to make maize‐based cropping systems more sustainable.<br />

Lessons from past research<br />

There are striking differences in fertilizer use on the maize crop in the high‐yield potential areas of Asia<br />

and Latin America and the rainfed systems of sub‐Saharan Africa. Whereas an average of 73 kg/ha of<br />

nutrients were applied across all crops in Latin America, 100 kg/ha in South Asia, and 135 in East and<br />

Southeast Asia (FAO 2004), fertilizer use in sub‐Saharan Africa (excluding South Africa) in 2007 was less<br />

than 7 kg/ha of nutrients (calculated from data of FAOSTAT—http://faostat.fao.org) although it is likely<br />

that about 17 kg/ha of nutrients were applied to maize (based on estimated fertilizer use in maize—FAO<br />

2002).<br />

While it is commonly accepted that nutrients are the major limiting factor to crop productivity in sub‐<br />

Saharan Africa, fertilizer’s agronomic potential is often unrealized because of poor land and crop<br />

husbandry practices. Many “poor” management practices (late application or inadequate doses) often<br />

stem from farmers’ efforts to reduce risk (Kelly 2006). It is crucial that farmers understand the factors<br />

that increase risk and/or reduce crop responsiveness to fertilizer (seeding date, weeding, tillage, timing<br />

of fertilizer application) if they are to achieve levels of management that allow the application of<br />

nutrients without undue risk.<br />

While market and political risk are important (these are addressed in SI 1), reducing the risk associated<br />

with weather, especially rainfall, through crop and soil management options and through better<br />

information on weather forecasts can raise the profitability of fertilizer use and crop productivity. Two<br />

particular avenues for addressing risk are response‐farming techniques and simulation models; lessons<br />

from these tools need to reach many more farmers (Kelly 2006).<br />

In higher‐productivity environments of Asia and Latin America fertilizer use is often excessive; this<br />

reduces the profitability of crop production and also increases environmental risks of nitrate leaching<br />

and eutrophication. The efficiency of use of nitrogen is commonly 30% or less, even though levels of<br />

over 80% are technically feasible (Raun and Johnson 1999). Highly‐efficient systems will depend on<br />

concurrently improving several avenues to efficiency—including application methods and fertilizer<br />

formulations, use of crop varieties that are more efficient in nitrogen absorption, and methods to<br />

diagnose and apply needed levels of fertilizer (taking into account spatial variability in soils).<br />

While present recommendations for economic phosphorus fertilizer applications are generally good<br />

once laboratory analyses have been calibrated with field studies, results with nitrogen<br />

recommendations are not as good or precise. In recent years researchers have worked with different<br />

methods to directly assess crop nutrient requirements; these methods range from observing leaf color<br />

(in rice), use of chlorophyll sensors, and use of remote sensing devices (either satellite‐installed or handheld),<br />

to predict nitrogen and phosphorus responses. Results to date have been especially promising for<br />

98

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