Improving estimation of N top-dressing by addressing temporal variability in winter wheat

被引:4
|
作者
Girma, K.
Mack, C.
Taylor, R.
Solie, J.
Arnall, D. B.
Raun, W.
机构
[1] Oklahoma State Univ, Dept Plant & Soil Sci, Stillwater, OK 74078 USA
[2] Oklahoma State Univ, Dept Biosyst & Agr Engn, Stillwater, OK 74078 USA
来源
关键词
D O I
10.1017/S0021859606006708
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Field-average based recommendations have been a common practice for nitrogen (N) rate recommendations. The problem is that, even when the same amount of N fertilizer is applied at the recommended rate, yields differ from year to year, the result being poor use efficiency. Reduced fertilizer use efficiency can result in unnecessary costs to producers, especially with a likely price of US$ 1(.)10 per kilogram of N fertilizer anticipated within the next few years, largely due to rising oil and natural gas prices. It has been estimated that by the year 2025 the consumption of N fertilizer will increase by 60-90 %, with two-thirds of this being applied in the developing world. In light of this, methods that increase N use efficiency and profitability of farms, while reducing environmental impact, are no longer simply commendable but required in developing countries. The present review assesses the temporal variability in winter wheat with respect to N nutrition and presents improved methods, including the calibration stamp (CS), N-rich strips (NRS) and ramped calibration strips (RCS) to overcome this variability. These methods can be used either as visual tools or along with NDVI handheld sensors for accuracy. Unlike the CS and NRS, the RCS method is designed to include more pre-plant N rates in strips to improve top-dress N estimation. Hypotheses as backgrounds to these methods have been developed and tested in the USA and Mexico. However, the simplicity of these technologies suggests that many farmers in both developed and developing countries can readily apply them.
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页码:45 / 53
页数:9
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