Sabitri Baral, R. Thapa, R. K. Jha, Samudra Lal Joshi, S. Aryal
{"title":"Simulation of Stage-structured population growth of Myzus persicae (Suzler) (Hemiptera: Aphididade) based on age-stage, two sex life table","authors":"Sabitri Baral, R. Thapa, R. K. Jha, Samudra Lal Joshi, S. Aryal","doi":"10.3126/njst.v20i1.43353","DOIUrl":null,"url":null,"abstract":"The age-stage specific growth rate and fecundity of Myzus persicae obtained from an age-stage, two-sex life table analysis were used to simulate the growth of stage-structured population under two scenario of initial population structure for five temperature regimes. The first scenario was started with a newly born nymph and the second scenario was started with the youngest female. In both scenario, the population growth increased with shorter life cycle in the respective order: 17°C < 20°C < 23°C < 26°C < 29°C. In this study, computer simulation based on the agestage, two sex life table demonstrate it’s advantages for revealing stage-structured population growth. Information on the growth of a stage-structured population is critical for deciding the timing of intervention in integrated pest management approach.","PeriodicalId":129302,"journal":{"name":"Nepal Journal of Science and Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nepal Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/njst.v20i1.43353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The age-stage specific growth rate and fecundity of Myzus persicae obtained from an age-stage, two-sex life table analysis were used to simulate the growth of stage-structured population under two scenario of initial population structure for five temperature regimes. The first scenario was started with a newly born nymph and the second scenario was started with the youngest female. In both scenario, the population growth increased with shorter life cycle in the respective order: 17°C < 20°C < 23°C < 26°C < 29°C. In this study, computer simulation based on the agestage, two sex life table demonstrate it’s advantages for revealing stage-structured population growth. Information on the growth of a stage-structured population is critical for deciding the timing of intervention in integrated pest management approach.