Modelling cassava production and pest management under biotic and abiotic constraints.

Modelling cassava production and pest management under biotic and abiotic constraints.
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生物和非生物胁迫下木薯生产及病虫害管理建模

DOI:
10.1007/s11103-021-01170-8
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发表时间:
2022-06
影响因子:
5.1
通讯作者:
McQuaid, C. Finn
McQuaid, C. Finn
中科院分区:
生物学2区
文献类型:
--
作者:
Chavez, Vasthi Alonso;Milne, Alice E.;van den Bosch, Frank;Pita, Justin;McQuaid, C. Finn

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我们总结了最具经济意义的木薯疾病和节肢动物的建模研究,突出了研究差距,建模可以有助于更好地管理这些领域的监测,控制和寄主害虫动态,了解气候变化的影响和未来的挑战建模。30多年来,实验和理论研究试图更好地了解影响产量并导致相当大产量损失的木薯疾病和节肢动物的流行病学,以更有效地检测和控制它们。在这篇评论中,我们认为模型研究的贡献,理解。我们总结了最重要的经济木薯害虫,包括木薯花叶病毒病,木薯褐条病,木薯粉蚧,木薯绿色螨的研究。我们专注于系统动力学的概念模型,而不是统计方法。通过我们的分析,我们确定了建模做出贡献的领域以及建模可以改进和进一步贡献的领域。首先,我们确定了研究的挑战,在木薯害虫的监测,检测和控制开发的建模,并提出了克服这些问题的方法。然后,我们看看模型在理解木薯及其害虫的相互作用和动态方面所做的贡献,突出成功的故事和需要改进的地方。第三,我们着眼于新的建模应用程序可以实现的可能性,以提供对气候变化的影响和不确定性的见解。最后,我们确定了研究差距,挑战和机遇,建模可以发展和木薯害虫的管理作出贡献,突出了最近的进展,了解植物防御的分子机制。
We summarise modelling studies of the most economically important cassava diseases and arthropods, highlighting research gaps where modelling can contribute to the better management of these in the areas of surveillance, control, and host-pest dynamics understanding the effects of climate change and future challenges in modelling. For over 30 years, experimental and theoretical studies have sought to better understand the epidemiology of cassava diseases and arthropods that affect production and lead to considerable yield loss, to detect and control them more effectively. In this review, we consider the contribution of modelling studies to that understanding. We summarise studies of the most economically important cassava pests, including cassava mosaic disease, cassava brown streak disease, the cassava mealybug, and the cassava green mite. We focus on conceptual models of system dynamics rather than statistical methods. Through our analysis we identified areas where modelling has contributed and areas where modelling can improve and further contribute. Firstly, we identify research challenges in the modelling developed for the surveillance, detection and control of cassava pests, and propose approaches to overcome these. We then look at the contributions that modelling has accomplished in the understanding of the interaction and dynamics of cassava and its’ pests, highlighting success stories and areas where improvement is needed. Thirdly, we look at the possibility that novel modelling applications can achieve to provide insights into the impacts and uncertainties of climate change. Finally, we identify research gaps, challenges, and opportunities where modelling can develop and contribute for the management of cassava pests, highlighting the recent advances in understanding molecular mechanisms of plant defence.
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