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Management of rice production systems to increase productivity

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Figure 10. Grain Yield at Different N Application Rates and NuMass<br />

Predicted Yields at Different NUE Values, 2000, 2001, and 2002 Cropping<br />

Seasons in Brikama, The Gambia<br />

The predicting N for upland <strong>rice</strong>, NuMaSS should use yields from the<br />

drier year; 591 mm rainfall. The amount <strong>of</strong> precipitation should have a more<br />

dominant role in predicting N for upland <strong>rice</strong> in semi‐arid regions. The NUE<br />

appears <strong>to</strong> be high during drier years. Positively correlating predicted N<br />

amount and rainfall amount should be considered for NuMaSS N prediction<br />

for upland <strong>rice</strong> in the semi‐arid regions. Applied N also needs <strong>to</strong> be managed<br />

in a different way.<br />

2.2.4. Conclusions<br />

All the low‐input varieties performed better than the local check<br />

(Peking); however WAB377‐B‐16‐L3‐LB and WAB56‐125 gave the highest<br />

most stable yields.<br />

The best NUE (65‐85g grain per gram N) was recorded with WAB56‐50<br />

at low‐input (40‐40‐40 kg/ha NPK) fertilizer application rates.<br />

Increasing biomass <strong>production</strong> or harvest index, or both resulted in<br />

yield <strong>increase</strong>s. However, grain filling did not necessarily depend on biomass<br />

accumulation, but the possibility for the plant <strong>to</strong> utilize N already<br />

accumulated in the biomass for grain <strong>production</strong>. This is indicative <strong>of</strong> the fact<br />

that research <strong>to</strong> <strong>increase</strong> <strong>rice</strong> yield potential in the upland should aim at<br />

increasing biomass <strong>production</strong> as well as carbohydrate translocation potential<br />

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