Managing whitefly development to control cassava brown streak virus coinfections

被引:2
|
作者
Sikazwe, Geofrey [1 ,2 ,3 ]
Yocgo, Rosita E. E. [2 ,4 ]
Landi, Pietro [1 ,5 ]
Richardson, David M. [6 ,7 ]
Hui, Cang [1 ,5 ,8 ]
机构
[1] Stellenbosch Univ, Dept Math Sci, ZA-7602 Stellenbosch, South Africa
[2] African Inst Math Sci, Kigali, Rwanda
[3] Mkwawa Univ, Coll Educ, POB 2513, Iringa, Tanzania
[4] Stellenbosch Univ, Inst Plant Biotechnol, ZA-7602 Stellenbosch, South Africa
[5] Stellenbosch Univ, Natl Inst Theoret & Computat Sci, ZA-7602 Stellenbosch, South Africa
[6] Stellenbosch Univ, Ctr Invas Biol, Dept Bot & Zool, ZA-7602 Stellenbosch, South Africa
[7] Czech Acad Sci, Inst Bot, Pruhonice, Czech Republic
[8] African Inst Math Sci, Math Biosci Unit, ZA-7945 Cape Town, South Africa
基金
新加坡国家研究基金会;
关键词
Coinfection; Cassava; Whitefly; Developmental stage; Cassava brown streak virus; BEMISIA-TABACI; DISEASE; TRANSMISSION; PATHOGENS; MODEL; RESISTANCE; DYNAMICS; REVEALS; NUMBERS;
D O I
10.1016/j.ecolmodel.2024.110753
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Mixed infections of Cassava brown streak virus (CBSV) and its Ugandan variant (UCBSV) in cassava hosts are increasingly threatening food security in East and Central Africa. The possibility of these viruses spreading to cassava producing countries in West Africa is of great concern. Most epidemiological models developed to address this challenge do not include the possibility of coinfection and whitefly lifecycle in managing these viruses. The question is: how does the inclusion of whitefly lifecycle and temperature variability influence disease outbreak and spread? We develop a host-vector-virus coinfection model that incorporates the whitefly life cycle and temperature variability as drivers of an epidemic. Using a combination of analytical and numerical simulations, we identify the key factors that drive disease outbreaks in cassava plantations. We also demonstrate that management of the whitefly's immature development stage can reduce disease prevalence and crop losses associated with these outbreaks. These results suggest that biological control agents using natural enemies should be given higher priority than the use of insecticides in management strategies.
引用
收藏
页数:15
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