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首页> 外文期刊>Pedobiologia >Hierarchical classification of environmental factors and agricultural practices affecting soil fauna under cropping systems using Bt maize
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Hierarchical classification of environmental factors and agricultural practices affecting soil fauna under cropping systems using Bt maize

机译:Bt玉米种植系统下影响土壤动物的环境因素和农业实践的分级分类

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摘要

The population dynamics of soil organisms under agricultural field conditions are influenced by many factors, such as pedology and climate, but also farming practices such as crop type, tillage and the use of pesticides. To assess the real effects of farming practices on soil organisms it is necessary to rank the influence of all of these parameters. Bt maize (Zea mays L.), as a crop recently introduced into farming practices, is a genetically modified maize with the Cry1Ab gene which produces a protein toxic to specific lepiclopteran insect pests. To assess the effects of Bt maize on non-target soil organisms, we conducted research at a field site in Foulum (Denmark) with a loamy sand soil containing 6.4% organic matter. The study focused on populations of springtails (Cottembola) and earthworms (Oligochaeta) from samples taken at the beginning and at the end of the maize crop-growing season during 2 consecutive years. Farming practices, soil parameters, the biological structure of soil communities, and the type and age of the crop at the time of sampling, were used as attributes to predict the total abundance of springtails and biomass of earthworms in general and the abundance or biomass for specific functional groups (epigeic, endogeic and anecic groups for earthworms, and eu-, eu to hemi-, hemi-, hemi to epi- and epiedaphic groups for Collembola). Predictive models were built with data mining tools, such as regression trees that predict the value of a dependent variable from a set of independent variables. Regression trees were constructed with the data mining system M5'. The models were evaluated by qualitative and quantitative measures of performance and two models were selected for further interpretation: anecic worms and hemi-epiedaphic Cottembola. The anecic worms (r(2) = 0.83) showed preferences for less clay and more silt soil with medium pH but were not influenced directly by farming practices. The biomass of earthworms was greater in early autumn than in spring or late autumn. Biomass of hemi-epiedaphic Collembola (r(2) = 0.59) increased at the end of the maize growing season, white higher organic matter content and pH tended to increase their biomass in spring. Greater abundance of Cottembola was also noted in early autumn if the crop was non-Bt maize. The models assessed by this research did not find any effects of the Bt maize cropping system on functional groups of soil fauna. (C) 2007 Elsevier GmbH. All rights reserved.
机译:在农田条件下,土壤生物的种群动态受许多因素的影响,例如土壤学和气候,但也受耕作方式的影响,例如作物类型,耕作和农药的使用。为了评估耕作方式对土壤生物的实际影响,有必要对所有这些参数的影响进行排名。 Bt玉米(Zea mays L.)是最近引入农业生产的一种作物,是一种具有Cry1Ab基因的转基因玉米,该基因产生对特定鳞翅目昆虫有害的蛋白质。为了评估Bt玉米对非目标土壤生物的影响,我们在富勒姆(丹麦)的田间地点进行了研究,该地点使用的有机壤土为6.4%。该研究集中于连续2年在玉米作物生长季节开始和结束时采集的样品中的跳尾(Cottembola)和worm(Oligochaeta)种群。采样时的耕作方式,土壤参数,土壤群落的生物结构以及农作物的类型和年龄被用作属性来预测总体上spring的总丰度和biomass生物量以及for的丰度或生物量。特定的功能性基团(for的上,内,外分泌基团,Collembola的eu-,eu到半-,hemi-,hemi到上,上表层)。预测模型是使用数据挖掘工具构建的,例如可从一组独立变量中预测因变量值的回归树。使用数据挖掘系统M5'构建回归树。通过对性能进行定性和定量评估,对模型进行了评估,并选择了两种模型进行进一步解释:蠕虫蠕虫和半表皮科腾博拉。食蠕虫(r(2)= 0.83)显示出偏爱较少的粘土和更多的中等pH的淤泥土壤,但不受耕作方式的直接影响。 early的生物量在秋季初比春季或秋季末高。在玉米生长季节结束时,半表皮Collembola(r(2)= 0.59)的生物量增加,白色有机质含量较高和pH值较高的春季倾向于增加其生物量。如果农作物为非Bt玉米,则在秋季初还会发现大量的Cottembola。这项研究评估的模型未发现Bt玉米种植系统对土壤动物功能组有任何影响。 (C)2007 Elsevier GmbH。版权所有。

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