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植物对问题土壤中矿物质胁迫的适应性

Adaptation of plants to mineral stress in problem soils.

作者信息

Foy C D

出版信息

Ciba Found Symp. 1984;102:20-39. doi: 10.1002/9780470720837.ch3.

DOI:10.1002/9780470720837.ch3
PMID:6559116
Abstract

Crop production depends on interactions among genetic potentials of plants and various stress factors in the environment. Mineral stresses in the form of toxicity or deficiency are not always economically correctable with current technology. But plant species, and genotypes within species, differ widely in tolerance to different mineral stresses, and some of these differences are known to be genetically controlled. Hence, a viable alternative or supplemental approach is to adapt plants more precisely to soils. Soil fertility programmes of the past have emphasized 'changing the soil to fit the plant'. As a result, many crop cultivars have been developed under nearly ideal conditions of pH and soil fertility and hence cannot tolerate the stresses encountered in marginal soils. There is, therefore, a great need for stress-tolerant plant genotypes for use in a 'minimum input' system of agriculture for problem soils. The merits of tailoring the plant to fit the soil have only recently been recognized, even by the scientific community. However, within the last decade multidisciplinary teams of scientists have been formed in several countries, and considerable progress is being made in selecting and breeding plants for greater nutrient efficiency and for tolerance to such factors as aluminium toxicity and salinity. In view of problems in world food and energy production and distribution, this approach should receive the highest priority.

摘要

作物生产取决于植物的遗传潜力与环境中各种胁迫因素之间的相互作用。以毒性或缺乏形式存在的矿物质胁迫,利用当前技术并非总能在经济上得到纠正。但是,不同植物物种以及同一物种内的不同基因型,对不同矿物质胁迫的耐受性差异很大,而且已知其中一些差异受基因控制。因此,一种可行的替代方法或补充方法是让植物更精准地适应土壤。过去的土壤肥力计划强调“改变土壤以适应植物”。结果,许多作物品种是在近乎理想的pH值和土壤肥力条件下培育出来的,因此无法耐受边际土壤中遇到的胁迫。所以,迫切需要耐胁迫的植物基因型,用于问题土壤的“低投入”农业系统。让植物适应土壤的优点直到最近才得到认可,甚至科学界也是如此。然而,在过去十年里,几个国家已经组建了多学科科学家团队,在选育营养效率更高、耐铝毒和盐渍等胁迫因素的植物方面取得了相当大的进展。鉴于世界粮食和能源生产及分配方面的问题,这种方法应得到最优先考虑。

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