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Energy inputs, outputs and greenhouse gas emissions in organic, integrated and conventional peach orchards

机译:有机,综合和常规桃园的能量输入,输出和温室气体排放

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摘要

Energy analysis in peach orchards is useful to decide best management strategies. The objectives of this study were to evaluate (a) the energy flow among conventional, integrated and organic farming systems and (b) the effect of farming system to greenhouse gas-emissions. Sixteen farms (four conventional, nine integrated, three organic) at six locations in northern Greece were selected randomly during the years 2008 and 2009. Multidimensional data analyses were used to detect (a) clusters of farming systems and (b) associations between farming systems and production coefficients variables. Three groups of farming systems and three groups of variables were revealed. Farming systems in the same group respond more or less similarly to the production coefficients variables. Non-parametric tests concerning external variables (outputs, energy efficiency, fruit production, CO2, CH4 and N2O) showed that the variables in organic farming cluster were at average significantly lower. Similarities and/or dissimilarities among farming systems, can probably be related to farm topography, production coefficients and local farming practices. The results showed that organic farming could reduce inputs and gas-emissions.
机译:桃园的能量分析对于确定最佳管理策略很有用。这项研究的目的是评估(a)常规,集成和有机耕作系统之间的能量流,以及(b)耕作系统对温室气体排放的影响。在2008年和2009年期间,在希腊北部的六个地点随机选择了16个农场(四个常规农场,九个综合农场,三个有机农场)。多维数据分析用于检测(a)农业系统集群和(b)农业系统之间的关联和生产系数变量。揭示了三组耕作系统和三组变量。同一组中的耕作系统对生产系数变量的响应大致相同。关于外部变量(产出,能源效率,水果产量,CO2,CH4和N2O)的非参数测试表明,有机耕作集群中的变量平均较低。耕作制度之间的相似性和/或相异之处可能与农场的地形,生产系数和当地的耕作方式有关。结果表明,有机农业可以减少投入和气体排放。

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