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首页> 外文期刊>The Indian Journal of Agricultural Sciences >Predicting nitrogen availability for rice (Oryza sativa) through carbon-nitrogen relationship under Himalayan acidic soils of north-eastern India.
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Predicting nitrogen availability for rice (Oryza sativa) through carbon-nitrogen relationship under Himalayan acidic soils of north-eastern India.

机译:通过印度东北部喜马拉雅酸性土壤下的碳氮关系,预测水稻的氮素有效性。

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An experiment was conducted during 2003-05 to study the potentially mineralizable N and distribution of inorganic N fractions in some of the rice (Oryza sativa L.) soils representing from 6 districts of Meghalaya to establish the relationship between organic carbon and N availability indices. The results shows that the organic carbon, mineral N and available N as extracted by alkaline KMnO4, acid KMnO4 and H2O2 oxidation were significantly correlated with all the plant growth parameters. Ammoniacal N was found to be the major contributing fraction to the oxidizable N by various chemical methods as evident from the step down regressions drawn between N availability indices and soil properties. Alkaline KMnO4 oxidizable N showed highly significant relationship with ammonical N which is the major contributing inorganic N fraction for crop nutrition as well as other biological indices and it can be adjudged as superior than other N availability indices with a critical limit of 320 kg/ha. It was observed that the organic carbon had highly significant relationship with N availability indices and inorganic N fractions with a critical limit of 1.65% delineating high and low status of available N for rice soils. The regression equations for determining available N on the basis of organic carbon content indicated that the soils with 1.65% organic carbon closer to the critical limits of other N availability indices. Thus the organic carbon content can be used for predicting available N in the fertilizer adjustments, if determined alone. The study also emphasized the need of refixing critical limits for organic carbon and available N in the soils of north-eastern Himalayan region, especially rice-growing soils of Meghalaya to enhance the N-use efficiency and rice productivity.
机译:在2003-05年间进行了一项实验,以研究代表梅加拉亚邦6个地区的一些水稻土中潜在的可矿化N和无机N组分的分布,从而建立有机碳与N有效性指数之间的关系。结果表明,碱性KMnO4,酸性KMnO4和H2O2氧化提取的有机碳,矿质氮和有效氮均与植物的所有生长参数显着相关。通过各种化学方法,发现氨氮是可氧化氮的主要贡献部分,这从氮利用率指数和土壤特性之间逐步降低的回归可以明显看出。碱性KMnO4可氧化氮与铵态氮具有极显着的关系,铵态氮是作物营养以及其他生物指标中主要的无机氮组分,可以断定其优于其他氮素利用率指标,其临界限值为320 kg / ha。观察到,有机碳与氮的有效性指数和无机氮的比例具有高度显着的关系,其临界极限为1.65%,描绘了水稻土壤中可用氮的高低状态。基于有机碳含量确定有效氮的回归方程表明,有机碳含量为1.65%的土壤更接近其他氮有效性指数的临界限值。因此,如果单独测定,则有机碳含量可用于预测肥料调整中的有效氮。该研究还强调,有必要对喜马拉雅东北部土壤,特别是梅加拉亚邦水稻种植土壤中的有机碳和有效氮设定临界限值,以提高氮的利用效率和水稻生产力。

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