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Inter-relations and Multiple Regressions among Plant Traits and Environmental Parameters in a Three-year Kenaf (Hibiscus cannabinus L.) Field Trial

机译:三年红麻(Hibiscus cannabinus L.)田间试验中植物性状与环境参数之间的相互关系和多重回归

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摘要

Kenaf is a fast-growing annual herbaceous C3 plant gaining interest in the latest years as a multipurpose crop providing material for the bio-based fibre industry and energy uses, with high productivity and low agronomic requirements. In the USA recent research has demonstrated several potential uses for each of the two stem components (bark and core), generally separated from each other (Taylor, 1992; Fuller, 1994). Although kenaf has been widely investigated, no much data are reported for relatively high latitudes of Mediterranean Europe. In the framework of the "BIOKENAF" project supported by EU, under the rising interest for kenaf in recent years, agronomic field trials have been established in a rainfed location of Northern Italy which may represent an upper boundary for kenaf diffusion (45 deg N). In parallel to the assessment of the growing patterns, the whole dataset from three years of agronomic field experiments was used to evaluate the degree of inter-relation among plant aspects and theability of some traits and environmental factors to predict kenaf growth. Significant relations may give the opportunity to estimate growth through the measure of non-destructive parameters of easier assessment, thus avoiding the burden of destructive samplings and associated operations, or even the use of allometric measurements as a tool of potential support for yield forecasts in commercial fields, along with few environmental factors.
机译:红麻是一种快速生长的一年生草本C3植物,在最近几年受到人们的关注,它是一种多用途作物,可为生物基纤维工业和能源用途提供材料,具有高生产率和低农学要求。在美国,最近的研究表明,两种茎成分(树皮和核心)中的每一种都具有多种潜在用途,通常相互分离(Taylor,1992; Fuller,1994)。尽管对洋麻进行了广泛的研究,但有关地中海欧洲较高纬度的报道却很少。在欧盟支持的“ BIOKENAF”项目的框架下,由于近年来对洋麻的兴趣日益提高,在意大利北部的雨养地区建立了农艺田间试验,这可能是洋麻扩散的上限(北纬45度) 。在评估生长方式的同时,使用了三年农艺田间试验的整个数据集来评估植物各方面之间的相互关系程度以及某些性状和环境因素预测洋麻生长的能力。重要的关系可能会提供机会,通过更容易评估的非破坏性参数的测量来估算增长,从而避免破坏性采样和相关操作的负担,甚至避免使用异速测量法作为潜在的商业收益预测工具领域,以及很少的环境因素。

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