ON MODIFIED VARIANTS OF CLASSICAL TROJAN Y CHROMOSOME MODEL WITH GLOBAL SOLUTIONS

IF 1.3 4区 数学 Q3 BIOLOGY Journal of Biological Systems Pub Date : 2023-06-01 DOI:10.1142/s021833902350016x
Eric M. Takyi, M. Beauregard, R. Parshad
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Abstract

The Trojan Y Chromosome (TYC) strategy is a biological control method for controlling invasive populations with an XX–XY sex determinism, wherein a modified organism is introduced into an invasive population to skew the sex ratio over time, causing local extinction. However, the classical three compartment TYC model possesses blow-up solutions, for large initial conditions [Takyi EM, Beauregard MA, Griffin T, Bobo L, Parshad RD, On large and small data blow-up solutions in the Trojan Y Chromosome model, Axioms 11(3):120, 2022]. We investigate model improvements via accounting for a modified logistic term, female mating preference, competition between males and supermales and pair formation. Each one of these models is dynamically explored and is shown to possess global in-time non-negative solutions, in any parameter and initial data regime, and the models are also effective in facilitating extinction of the invasive wild type.
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具有全局解的经典特洛伊y染色体模型的改进变体
特洛伊Y染色体(TYC)策略是一种生物控制方法,用于控制具有XX–XY性别决定论的入侵种群,其中将一种修饰的生物体引入入侵种群中,随着时间的推移使性别比偏斜,导致局部灭绝。然而,对于大的初始条件,经典的三室TYC模型具有爆破解[Takyi EM,Beaurered MA,Griffin T,Bobo L,Parshad RD,关于特洛伊Y染色体模型中的大数据和小数据爆破解,Axioms 11(3):120222]。我们通过考虑修改的逻辑项、雌性交配偏好、雄性和超人之间的竞争以及配对来研究模型的改进。这些模型中的每一个都是动态探索的,并且在任何参数和初始数据制度下都具有全局实时非负解,这些模型在促进入侵野生型灭绝方面也很有效。
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来源期刊
CiteScore
2.80
自引率
12.50%
发文量
31
审稿时长
1 months
期刊介绍: The Journal of Biological Systems is published quarterly. The goal of the Journal is to promote interdisciplinary approaches in Biology and in Medicine, and the study of biological situations with a variety of tools, including mathematical and general systems methods. The Journal solicits original research papers and survey articles in areas that include (but are not limited to): Complex systems studies; isomorphies; nonlinear dynamics; entropy; mathematical tools and systems theories with applications in Biology and Medicine. Interdisciplinary approaches in Biology and Medicine; transfer of methods from one discipline to another; integration of biological levels, from atomic to molecular, macromolecular, cellular, and organic levels; animal biology; plant biology. Environmental studies; relationships between individuals, populations, communities and ecosystems; bioeconomics, management of renewable resources; hierarchy theory; integration of spatial and time scales. Evolutionary biology; co-evolutions; genetics and evolution; branching processes and phyllotaxis. Medical systems; physiology; cardiac modeling; computer models in Medicine; cancer research; epidemiology. Numerical simulations and computations; numerical study and analysis of biological data. Epistemology; history of science. The journal will also publish book reviews.
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