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Evaluating regional mean optimal nitrogen rates in combination with indigenous nitrogen supply for rice production.

机译:与水稻生产的本地氮供应相结合,评估区域平均最佳氮肥利用率。

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Nitrogen (N) is an essential nutrient that requires careful management in intensive rice systems, since insufficient amounts might result in yield losses, and excessive application might harm the environment. However, farmers often tend to apply a large excess of N fertilizer to ensure high rice yields, primarily because of the absence of reliable methods to estimate optimal N application rates. Therefore, a large-scale study comprising 514 field experiments for rice was conducted in seven rice regions (totaling 1.253 million ha) in Hubei province, Central China. We (i) evaluated yield responses to different N application levels, (ii) established indigenous soil N supply (INS) classification systems for different rice regions by identifying and using the preferable predictor of INS, and (iii) determined the optimal N application rates for each region based on regional mean optimal N rates (RMONR) in combination with INS. In all of the rice regions, rice yields were significantly higher in plots receiving N than in plots without N (termed no-N plots). The highest yields were obtained in plots receiving medium nitrogen (MN) treatment, where the average partial factor productivity (PFPN) and agronomic efficiency (AEN) were 50.4 kg grain kg-1 N and 12.5 kg grain kg-1 N, respectively. Yield responses of rice to N fertilizer were different among different rice regions because of regional variations in climatic conditions and soil fertility. A significant positive relationship between grain yield with and without N fertilizer also proved an important effect of INS on yield response to N fertilizer. On the basis of regression models, relative yields of 90%, 80%, 70%, 60%, and 50% were used as the critical values to obtain INS classifications, which were estimated by the yield of the no-N treatment but not by alkaline hydrolyzable-N. An obvious increasing trend of economic optimum N rate (EONR) with decreasing INS (from Class 1 to Class 6) was found for each rice region. Averaged across all rice regions of Hubei province, EONR was 150 kg ha-1, which was lower than the N application rate for the MN treatment of 171 kg ha-1. The results indicated that the N application rate recommended by local rice technicians could be cut by 12% (1-18% in different rice regions) without any loss of yield. In conclusion, the recommended N fertilizer application, based on RMONR in combination with INS, is feasible for regional rice production in China and other countries that have large numbers of small farmland areas and where agricultural testing equipment is absent or less modern.
机译:氮(N)是必需的养分,在集约化稻米系统中需要仔细管理,因为不足的量可能会导致产量下降,过量施用可能会危害环境。但是,农民往往倾向于大量施用氮肥以确保水稻高产,这主要是因为缺乏可靠的方法来估算最佳氮肥施用量。因此,在中国中部湖北省的七个水稻地区(总面积12.53百万公顷)进行了包括514个水稻田间试验的大规模研究。我们(i)评估了对不同氮肥施用水平的产量响应;(ii)通过识别和使用INS的优选预测指标,为不同水稻地区建立了本地土壤氮素供应(INS)分类系统,并且(iii)确定了最佳氮肥施用量基于区域平均最佳N率(RMONR)结合INS的每个区域。在所有水稻地区,接受氮肥的地块的水稻产量都比没有氮肥的地块(称为无氮地块)高得多。在接受中等氮素(MN)处理的地块上可获得最高的产量,其中平均部分生产力(PFP N )和农艺效率(AE N )为50.4 kg谷物kg -1 N和12.5 kg谷物kg -1 N。由于气候条件和土壤肥力的区域差异,不同地区的水稻对氮肥的产量响应也不同。有氮肥和无氮肥之间谷物产量之间的显着正相关关系也证明了INS对氮肥产量响应的重要影响。在回归模型的基础上,将90%,80%,70%,60%和50%的相对产率用作获得INS分类的临界值,该值由无氮处理的产率估算而未被碱性水解的N。发现每个稻区的经济最优氮率(EONR)随着INS的降低(从1级到6级)有明显的增加趋势。湖北省所有水稻地区的平均EONR为150 kg ha -1 ,低于MN处理171 kg ha -1 的氮肥施用量。结果表明,当地水稻技术人员推荐的氮肥施用量可降低12%(不同水稻地区为1-18%),而不会损失任何产量。总之,基于RMONR与INS结合使用的推荐氮肥应用在中国和其他拥有大量小耕地面积且缺少农业检测设备或较不现代化的设备的国家中是可行的。

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