相关实验视频
Updated: May 16, 2025

08:49
Assessing Agrochemical Risk to Mated Honey Bee Queens
Published on: March 3, 2021
2.7K
普鲁努斯的商品风险评估spp. 来自英国的植物
EFSA journal. European Food Safety Authority
|April 4, 2025
概括
这项研究评估了从英国进口的Prunus物种的植物健康风险. Erwinia amylovora是最常见的预期害虫,对于大多数进口物种来说,对无害虫的信心很高.
科学领域:
- 植物卫生 植物卫生
- 风险评估 风险评估
- 植物病理学 植物病理学
背景情况:
- 欧盟委员会委托对高风险植物进口进行风险评估.
- 专注于从英国 (UK) 进口的特定Prunus物种 (大,梅,桃).
研究的目的:
- 评估从英国进口的Prunus物种的移植植物和移植木材所带来的特定害虫所带来的植物健康风险.
- 评估英国提出的风险减轻措施的有效性.
主要方法:
- 根据相关性定义的标准对害虫的评估.
- 检疫和非监管害虫的选择进行详细评估.
- 专家评价害虫免除可能性,考虑风险减轻措施和不确定性.
主要成果:
- 六种害虫被选中进行评估:Candidatus Phytoplasma aurantifolia相关的菌株,Scirthothrips dorsalis,Bemisia tabaci,Erwinia amylovora,Eulecanium excrescens和Collettotrichum aenigma. 这些害虫被选中进行评估.
- 埃尔温亚亚米洛瓦被确定为进口盆栽植物中最常见的预期害虫.
- 专家的诱导表明高度确定性 (95%),即99.56%到100%的盆栽植物将免于E. amylovora.
结论:
- 在评估的害虫中,害虫无害程度各不相同.
- 风险减轻措施对于管理与这些进口相关的植物健康风险至关重要.
- 为了确保植物生物安全,需要进行进一步的评估和监测.
相关概念视频
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
106
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
106
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
31
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
31
Uncertainty: Overview
489
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
489
Hazard Rate
77
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
77
Decision Making: P-value Method
5.2K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.2K
Range Rule of Thumb to Interpret Standard Deviation
8.8K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
8.8K

