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Articles by Soroush Parsa in JoVE

Other articles by Soroush Parsa on PubMed

Ecoinformatics 综合的虫害管理: 扩大应用昆虫生态学家工具包。

实验一直是很多病虫害综合的管理 (IPM) 研究的基石。在这里,我们的目标是要打开扩大观察研究中,使用的可能优点探讨,特别是来自农民或私人的虫害管理顾问公司"ecoinformatics"中的数据的使用研究,作为可能补充传统的试验性研究的工具。广为人多重优势的实验: 实验提供有关关键变量之间的因果关系明确推论、 可生产、 统一的和高质量的数据集,和高度灵活的处理,可以计算。或许较广泛地考虑,不过,有可能有某些缺点的实验研究。我们使用的产量影响研究讨论重点,解决一些原因为什么观测或 ecoinformatics 的办法可能是作为试验的补充有吸引力。文学的一项调查表明许多当代的产量影响研究缺乏足够的统计权力,以解决小,但经济上重要的是,对作物产量的影响的农民,形状虫害管理决策。基于 Ecoinformatics 的数据集可以大大大于实验数据集,并因此举行了增强电源的诺言。Ecoinformatics 方法也解决问题在空间和时间尺度的耕作进行的、 可以实现更高水平的"外部有效性",和可以允许研究人员有效地屏幕很多变量初始、 探索阶段的研究项目。实验、 观测,和基于 ecoinformatics 的办法如果用在一起,可提供更高效的解决方案,比任何单一的方法,用来隔离的虫害管理中的问题。

资源浓度稀释土著马铃薯农业的主要害虫。

人口不断增长的农业害虫经常指责农业景观,作物的扩大和由此产生消除非作物生境的现代转型。然而,景观研究表明害虫密度与作物作物空间范围的正相关性很罕见。我们在安第斯山脉中测试这种假设与数据集从 140 赖以生存的农业,并找到逆相关性。虫灾的安第斯马铃薯甲虫 (Premnotrypes 种),在安第斯马铃薯农业方面,最重要的害虫减少与越来越多的马铃薯的景观。一种统计模型预测聚合马铃薯田可能优于安第斯马铃薯象甲的 IPM 和化学控制的管理。我们推测生成的聚合马铃薯田强病虫害抑制可以部分解释为什么土著马铃薯农民群集他们马铃薯田下共同在安第斯农业 (即"部门休闲") 传统的轮换制度。我们的研究结果表明一些农业害虫也可能产生负面响应扩大的作物,而操纵空间布局的寄主作物可能可以提供一些 IPM 程序的重要工具。

Explaining Andean Potato Weevils in Relation to Local and Landscape Features: a Facilitated Ecoinformatics Approach

Pest impact on an agricultural field is jointly influenced by local and landscape features. Rarely, however, are these features studied together. The present study applies a "facilitated ecoinformatics" approach to jointly screen many local and landscape features of suspected importance to Andean potato weevils (Premnotrypes spp.), the most serious pests of potatoes in the high Andes.

The Cassava Mealybug (Phenacoccus Manihoti) in Asia: First Records, Potential Distribution, and an Identification Key

Phenacoccus manihoti Matile-Ferrero (Hemiptera: Pseudococcidae), one of the most serious pests of cassava worldwide, has recently reached Asia, raising significant concern over its potential spread throughout the region. To support management decisions, this article reports recent distribution records, and estimates the climatic suitability for its regional spread using a CLIMEX distribution model. The article also presents a taxonomic key that separates P. manihoti from all other mealybug species associated with the genus Manihot. Model predictions suggest P. manihoti imposes an important, yet differential, threat to cassava production in Asia. Predicted risk is most acute in the southern end of Karnataka in India, the eastern end of the Ninh Thuan province in Vietnam, and in most of West Timor in Indonesia. The model also suggests P. manihoti is likely to be limited by cold stress across Vietnam's northern regions and in the entire Guangxi province in China, and by high rainfall across the wet tropics in Indonesia and the Philippines. Predictions should be particularly important to guide management decisions for high risk areas where P. manihoti is absent (e.g., India), or where it has established but populations remain small and localized (e.g., South Vietnam). Results from this article should help decision-makers assess site-specific risk of invasion, and develop proportional prevention and surveillance programs for early detection and rapid response.

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