The Institute for Agricultural and Fisheries Research (ILVO), Technology and Food Science Unit, Agricultural Engineering, Merelbeke, Belgium.
BIOSYST-MeBioS, KU Leuven, Leuven, Belgium.
Pest Manag Sci. 2017 Jul;73(7):1322-1333. doi: 10.1002/ps.4524. Epub 2017 Feb 15.
Apart from particle size, drift of abraded seed particles during sowing is mainly affected by two other physical properties, viz. particle shape and envelope density. The impact of these abraded seed particles on the environment is highly dependable on their active ingredient content. In this study, the envelope density and chemical content of dust abraded from seeds was determined as a function of particle size for six seed species.
Envelope density and active ingredient content both change as a function of particle size. Important differences in these physico-chemical properties were observed between the six species. Functions were fitted to the collected data to describe the physico-chemical properties as a function of particle size.
The gathered physico-chemical information is essential for the computational fluid dynamics (CFD)-based dust drift prediction models and can be useful for other prediction models as well as for the ongoing risk assessment of active ingredients used for seed treatment on ecosystems and ecosystem-services. In addition, the results can help to better understand the dust drift phenomenon and to develop mitigation strategies. © 2017 Society of Chemical Industry.
除了粒径之外,磨损种子颗粒在播种过程中的漂移主要还受到另外两个物理性质的影响,即颗粒形状和包衣密度。这些磨损种子颗粒对环境的影响在很大程度上取决于其有效成分的含量。在这项研究中,测定了六种种子中因磨损而产生的粉尘的包衣密度和化学含量随粒径的变化。
包衣密度和有效成分含量都随粒径的变化而变化。在这六个物种之间观察到这些物理化学性质的重要差异。为了描述粒径与物理化学性质之间的关系,对收集到的数据进行了函数拟合。
收集到的物理化学信息对于基于计算流体动力学(CFD)的粉尘漂移预测模型是必不可少的,对于其他预测模型以及正在进行的种子处理中使用的活性成分对生态系统和生态系统服务的风险评估也是有用的。此外,研究结果可以帮助更好地了解粉尘漂移现象并制定缓解策略。© 2017 英国化学工程师学会。