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首页> 外文期刊>Field Crops Research >Soil tests to predict optimum fertilizer nitrogen rate for rice.
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Soil tests to predict optimum fertilizer nitrogen rate for rice.

机译:土壤测试,以预测水稻的最佳肥料氮含量。

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摘要

Productivity and response to nitrogen (N) fertilizer were measured on 84 irrigated rice crops growing over two seasons on farms in the Riverina region of south-eastern Australia. The results were correlated with 18 tests of the N status of the top 10 cm of soil to develop a method to specify optimum N fertilizer application before sowing. In this environment, nitrogen fertilizer applied before sowing produces higher yields than the existing pre-sowing-topdressing split, provided the application rate is not so high that it leads to cold damage or lodging. Yield, biomass and N uptake varied greatly between the 84 crops, but the mean apparent N recovery of 50-60% and the N-use efficiency of 22 kg grain kg N-1 were high by commercial standards. Of the 18 soil-N tests, the one most closely correlated to crop productivity used anaerobic incubation for 21 days at 40 degrees C. The standard error of this test for predicting crop biomass was at least 74 kg N ha-1, which is double the standard error of the current plant test and is unacceptably high for providing recommendations. A comparison of commercial N-application rates and the economic optimum rates showed that ricegrowers tended to overfertilize crops growing on the most fertile fields and underfertilize crops growing on the least fertile fields. Suggested strategies to increase N-use efficiency are to improve the accuracy of the soil test by considering factors such as the status of other nutrients, to inform ricegrowers of their tendency to overfertilize high-yielding crops and underfertilize low-yielding crops, and use a soil test only to discourage overfertilization..
机译:在澳大利亚东南部Riverina地区的农场上,对两个季节种植的84种灌溉水稻作物进行了生产率和氮肥响应测量。将结果与18个土壤表层10 cm氮素状况的测试相关联,以开发一种在播种前指定最佳氮肥施用量的方法。在这种环境下,播种前施用的氮肥的产量要高于现有的播前追肥阶段,前提是施用量不高到导致冷害或倒伏的程度。 84种农作物的产量,生物量和氮素吸收差异很大,但按商业标准,平均表观氮素回收率为50-60%,氮素利用效率为22 kg谷物kg N-1。在18个土壤氮素测试中,与作物生产力最相关的一个是在40摄氏度下厌氧培养21天。该测试预测作物生物量的标准误为至少74 kg N ha-1,是原来的两倍。当前工厂测试的标准误差,对于提供建议来说是很高的。商业氮肥施用量与经济最佳施用量的比较表明,水稻种植者倾向于使最肥沃的田地上的作物过度施肥,而对最肥沃的田地上的作物不充分施肥。建议的提高氮素利用效率的策略是,通过考虑其他营养素的状况等因素来提高土壤测试的准确性,告知水稻种植者高产作物过度施肥和低产作物肥料不足的趋势,并使用土壤测试只是为了防止过度施肥。

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