Warne Michael St J, Heemsbergen Diane, McLaughlin Mike, Bell Mike, Broos Kris, Whatmuff Mark, Barry Glenn, Nash David, Pritchard Deb, Penney Nancy
Centre for Environmental Contaminants, CSIRO Land and Water, PMB 2, Glen Osmond, Adelaide, SA 5064, Australia.
Environ Pollut. 2008 Dec;156(3):707-14. doi: 10.1016/j.envpol.2008.06.012. Epub 2008 Jul 24.
Laboratory-based relationships that model the phytotoxicity of metals using soil properties have been developed. This paper presents the first field-based phytotoxicity relationships. Wheat (Triticum aestivum L.) was grown at 11 Australian field sites at which soil was spiked with copper (Cu) and zinc (Zn) salts. Toxicity was measured as inhibition of plant growth at 8 weeks and grain yield at harvest. The added Cu and Zn EC10 values for both endpoints ranged from approximately 3 to 4760 mg/kg. There were no relationships between field-based 8-week biomass and grain yield toxicity values for either metal. Cu toxicity was best modelled using pH and organic carbon content while Zn toxicity was best modelled using pH and the cation exchange capacity. The best relationships estimated toxicity within a factor of two of measured values. Laboratory-based phytotoxicity relationships could not accurately predict field-based phytotoxicity responses.
已建立了基于实验室的利用土壤特性模拟金属植物毒性的关系模型。本文首次提出了基于田间的植物毒性关系模型。在澳大利亚11个田间试验点种植小麦（Triticum aestivum L.），并向土壤中添加铜（Cu）和锌（Zn）盐。毒性通过8周时对植物生长的抑制作用以及收获时的谷物产量来衡量。两个终点的添加铜和锌的EC10值范围约为3至4760毫克/千克。两种金属基于田间的8周生物量毒性值和谷物产量毒性值之间均无关系。铜毒性最好用pH值和有机碳含量来模拟，而锌毒性最好用pH值和阳离子交换容量来模拟。最佳关系模型估计的毒性在测量值的两倍范围内。基于实验室的植物毒性关系模型无法准确预测基于田间的植物毒性反应。
