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Effects of Sublethal Doses of Herbicides on the Competitive Interactions between 2 Nontarget Plants, Centaurea cyanus L. and Silene noctiflora L.

机译:亚致死剂量的除草剂对两种非靶标植物矢车菊和夜光粉的竞争相互作用的影响。

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Plant competitive interactions influence the effect of herbicides, and the effect of competitive interactions on plant responses may be important to include in the ecological risk assessment of herbicides. In the present study the effect of competitive interactions and sublethal doses of 2 herbicides on plant species was investigated in competition experiments and fitted to empirical competition models. Two nontarget species commonly found in agroecosystems (Centaurea cyanus L. and Silene noctiflora L.) and 2 herbicides (glyphosate and metsulfuron methyl) were used in separate experiments. Plants were sprayed at the 6- to 8-leaf stage. Effects of herbicide treatments and plant density were modeled by generalization of a discrete hyperbolic competition model. The 10% effective dose (ED10) was calculated for C. cyanus. All experiments showed that as density increased, plants were negatively affected. Furthermore, in all cases, C. cyanus remained a better competitor than S. noctiflora. Nevertheless, the density of S. noctiflora (competitor) was an influential element in determining the ED10 of C. cyanus measured at the mature stage. With herbicide exposure, the competitive interactions were further altered; C. cyanus was less affected by glyphosate when S. noctiflora increased to high density. In contrast, at the young stage, conspecific density was important in determining the sensitivity of C. cyanus to metsulfuron methyl, whereas the density of the competitor S. noctiflora had a limited influence. Overall, the results demonstrate the importance of integrating the effect of herbicide and species interactions measured at the reproductive stage into the ecological risk assessments of pesticides. Environ Toxicol Chem 2019;00:1-12. (c) 2019 SETAC
机译:植物竞争性相互作用会影响除草剂的作用,竞争性相互作用对植物响应的影响可能对包括除草剂的生态风险评估很重要。在本研究中,在竞争实验中研究了竞争性相互作用和2种除草剂的亚致死剂量对植物物种的影响,并拟合了经验竞争模型。在单独的实验中,使用了在农业生态系统中常见的两种非靶标物种(矢车菊(Centaurea cyanus L.)和夜蛾(Sillene noctiflora L.))和两种除草剂(草甘膦和甲磺隆)。在6至8片叶期对植物进行喷雾。通过离散双曲线竞争模型的泛化来模拟除草剂处理和植物密度的影响。计算了蓝藻的10%有效剂量(ED10)。所有实验均表明,随着密度的增加,植物受到负面影响。此外,在所有情况下,蓝藻均比夜蛾更胜一筹。然而,夜蛾链球菌(竞争者)的密度是确定在成熟阶段测定的蓝藻ED10的影响因素。随着除草剂的接触,竞争相互作用进一步改变。当夜蛾链球菌增加到高密度时,蓝藻对草甘膦的影响较小。相比之下,在年轻阶段,同种密度对于确定蓝藻对甲磺隆甲基化的敏感性很重要,而竞争夜蛾的密度影响有限。总体而言,结果证明了将除草剂的作用和生殖阶段测得的物种相互作用纳入农药生态风险评估的重要性。 Environ Toxicol Chem 2019; 00:1-12。 (c)2019年SETAC

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