Modelling cassava production and pest management under biotic and abiotic constraints.
Modelling cassava production and pest management under biotic and abiotic constraints.
复制标题
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
中科院分区:
文献类型:
--
作者:
Chavez, Vasthi Alonso;Milne, Alice E.;van den Bosch, Frank;Pita, Justin;McQuaid, C. Finn
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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影响因子:
5.6
作者:
Abdullah AS;Moffat CS;Lopez-Ruiz FJ;Gibberd MR;Hamblin J;Zerihun A
通讯作者:
Zerihun A
影响因子:
3.1
作者:
Abarshi, M. M.;Mohammed, I. U.;Maruthi, M. N.
通讯作者:
Maruthi, M. N.
影响因子:
3.7
作者:
Alene, Arega D.;Abdoulaye, Tahirou;Augusto Becerra, Luis
通讯作者:
Augusto Becerra, Luis
影响因子:
3.5
作者:
Al Basir, Fahad;Blyuss, Konstantin B.;Ray, Santanu
通讯作者:
Ray, Santanu
影响因子:
1.2
作者:
Al Basir, Fahad;Ray, Santanu
通讯作者:
Ray, Santanu