000			02547nam a22003617a 4500
999			_c151079 _d151079
003			CR-SiIICA
005			20230704195031.0
007			ta
008			230704t2021 ||||| |||| 00| 0 spa d
040			_aCR-SiIICA _beng
041			_aeng
100			_957602 _aChávez V, A.
100			_aMilne, A. E
100			_avan den Bosch, Frank
100			_aPita, Justin
100			_aMcQuaid, C.F
245			_aModelling cassava production and pest management under biotic and abiotic constraints
260			_bPlant Mol Biol _c2021
270			_aSan José, C.R.
300			_a25 páginas
520			_aFor 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.
650			_aCASSAVA _9139660
650			_aYUCA _9168839
650		0	_9158220 _aPESTS
650		0	_aPESTES _9158212
650		0	_9165791 _aSURVEILLANCE SYSTEMS
650		0	_aSISTEMAS DE VIGILANCIA _9164888
650		0	_9317127 _aENVIRONMENTAL MODELLING
787			_9352071 _aGCF CARICOM AgReady Reference
856			_uhttps://doi.org/10.1007/s11103-021-01170-8 _yeng
942			_2z _cRED