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For: Shi M, Renton M. Numerical algorithms for estimation and calculation of parameters in modeling pest population dynamics and evolution of resistance. Math Biosci 2011;233:77-89. [DOI: 10.1016/j.mbs.2011.06.005] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2011] [Revised: 05/19/2011] [Accepted: 06/20/2011] [Indexed: 11/21/2022]
Number Cited by Other Article(s)
1
Alamir AE, Nenaah GE, Hafiz MA. Mathematical probit and logistic mortality models of the Khapra beetle fumigated with plant essential oils. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2015;12:687-697. [PMID: 25974342 DOI: 10.3934/mbe.2015.12.687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
2
Shi M, Collins PJ, Ridsdill-Smith TJ, Emery RN, Renton M. Dosage consistency is the key factor in avoiding evolution of resistance to phosphine and population increase in stored-grain pests. PEST MANAGEMENT SCIENCE 2013;69:1049-1060. [PMID: 23292953 DOI: 10.1002/ps.3457] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2012] [Revised: 09/14/2012] [Accepted: 11/01/2012] [Indexed: 06/01/2023]
3
Modelling mortality of a stored grain insect pest with fumigation: Probit, logistic or Cauchy model? Math Biosci 2013;243:137-46. [DOI: 10.1016/j.mbs.2013.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2012] [Revised: 01/27/2013] [Accepted: 02/06/2013] [Indexed: 11/17/2022]
4
Renton M. Shifting focus from the population to the individual as a way forward in understanding, predicting and managing the complexities of evolution of resistance to pesticides. PEST MANAGEMENT SCIENCE 2013;69:171-175. [PMID: 22730057 DOI: 10.1002/ps.3341] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2011] [Revised: 03/11/2012] [Accepted: 04/19/2012] [Indexed: 06/01/2023]
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