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抗枯萎病马铃薯的环境风险评估:利用作物模型量化田间和种植系统尺度的氮循环。

Environmental risk assessment of blight-resistant potato: use of a crop model to quantify nitrogen cycling at scales of the field and cropping system.

机构信息

Ecological Sciences, James Hutton Institute, Dundee, DD2 5DA, UK.

Teagasc Crops, Environment and Land Use Programme, Oak Park Crops Research Centre, Carlow, Ireland.

出版信息

Environ Sci Pollut Res Int. 2017 Sep;24(26):21434-21444. doi: 10.1007/s11356-017-9769-8. Epub 2017 Jul 25.

Abstract

Environmental risk assessment of GM crops in Europe proceeds by step-wise estimation of effect, first in the plant, then the field plot (e.g. 10-100 m), field (1000-10,000 m) and lastly in the environment in which the crop would be grown (100-10,000 km). Processes that operate at large scales, such as cycling of carbon (C) and nitrogen (N), are difficult to predict from plot scales. Here, a procedure is illustrated in which plot scale data on yield (offtake) and N inputs for blight resistant (both GM and non-GM) and blight-susceptible potato are upscaled by a model of crop resource use to give a set of indicators and metrics defining N uptake and release in realistic crop sequences. The greatest potential damage to environment is due to loss of N from the field after potato harvest, mainly because of the large quantity of mineral and plant matter, high in N, that may die or be left in the field. Blight infection intensifies this loss, since less fertiliser N is taken up by plants and more (as a proportion of plant mass) is returned to the soil. In a simulation based on actual crop sequences, N returns at harvest of potato were raised from 100 kg ha in resistant to 150 kg ha in susceptible varieties subject to a 40% yield loss. Based on estimates that blight-resistant types would require ~20% of the fungicide applied to susceptible types, introduction of resistant types into a realistic 6-year cropping sequence would reduce overall fungicide use to between 72 and 54% depending on the inputs to other crops in the sequence.

摘要

欧洲的转基因作物环境风险评估是通过逐步估计影响来进行的,首先是在植物中,然后是在田间(例如 10-100 m)、田间(1000-10,000 m),最后是在种植作物的环境中(100-10,000 km)。在大范围内运作的过程,如碳(C)和氮(N)的循环,很难从田间尺度预测。在这里,说明了一种程序,该程序使用产量(产量)和抗枯萎病(GM 和非 GM)和易枯萎病马铃薯的 N 输入的田间数据,通过作物资源利用模型进行放大,给出了一组指标和度量标准,定义了在实际作物序列中 N 的吸收和释放。对环境的最大潜在破坏是由于马铃薯收获后从田间损失的 N,主要是由于可能死亡或留在田间的大量高氮矿物质和植物物质。枯萎病感染加剧了这种损失,因为植物吸收的肥料 N 减少,而更多的 N(相对于植物质量)返回土壤。基于对实际作物序列的模拟,在抗枯萎病品种中,N 的回收量从 100 kg ha 提高到易受感染品种的 150 kg ha,产量损失 40%。根据抗枯萎病类型需要应用于易受感染类型的杀菌剂的 20%左右的估计,在现实的 6 年种植序列中引入抗枯萎病类型将根据序列中其他作物的投入,将总体杀菌剂使用量减少到 72%至 54%之间。

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