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Growth curve: an intelligent life history described by a mathematical model!

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dc.contributor.authorGarcia-Neto, Manoel
dc.contributor.authorKebreab, Ermias
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-05-04T15:33:02Z
dc.date.available2021-05-04T15:33:02Z
dc.date.issued2020-02-12
dc.descriptionA mystery! This is a classic answer to define what growth is (von Bertalanffy, 1952 p. 136). The growth process is probably the most common occurrence and observed in several systems, biological or not (Burkhart & Tomé, 2012; Dadson et al., 2017; Parker, 2012). And how does it occur? It is easily observable with the naked eye. So, it is feasible to certify that growth generally follows a sigmoid curve (S-shaped), this being a universal characteristic. Still, visually it is allowed to contemplate different phases in its path (Bertin, 2014; Pommerening & Grabarnik, 2019). Thus, growth is characterized and clearly subdivided into different phases (e.g. lag, exponential, stationary, etc.) (Levert & Xia, 2001; Bukhman et al., 2015). In order to verify these different moments, measurements of size or proportions are recorded on several occasions along this route (von Bertalanffy, 1957; Paine, 2012). In this way, through growth curves it is possible to describe changes in mass, size, volume, area, population and other units to represent the information of the wise behavior of growth over time with only a few parameters (Jørgensen et al., 2000; Pommerening & Grabarnik, 2019). There are many candidate curves to represent the growth period, but they always adequately demonstrate the moments in which the transition between phases occurs (Bukhman et al., 2015; Paine, 2012; Zeide, 2004). Therefore, in order to delve deeper into the essence of this mystery and contribute to answering other questions, it is essential to understand why several stages in the growth process are necessary, this question actually represents the essence of the mystery (Grimm et al., 2011). This mystery presents strategies and optimizations (Karkach, 2006). In view of this, mathematical models are very appropriate to represent the route geometry in two dimensions (e.g. position × time) (Curran et al., 2010; Kebreab et al., 2010; Koya, & Goshu, 2013).en
dc.description.sponsorshipFAPESP
dc.description.sponsorshipId2018/19629-0
dc.formatPDFpt
dc.identifier.lattes7357560220449194
dc.identifier.orcid0000-0002-5574-0183
dc.identifier.urihttp://hdl.handle.net/11449/204579
dc.language.isoeng
dc.rights.accessRightsAcesso abertopt
dc.rights.holderManoel Garcia Netopt
dc.subjecten
dc.subjectMathematical Modelingen
dc.subjectDerivatives of positionen
dc.subjectDerivatives of forceen
dc.subjectGrowth stageen
dc.subjectKinematics and Kineticsen
dc.subjectPrinciple of action growth force curveen
dc.titleGrowth curve: an intelligent life history described by a mathematical model!en
dc.typeDado de pesquisapt
dspace.entity.typePublication
relation.isOrgUnitOfPublication1f8041b8-563c-4766-90b9-4dd9c0101666
relation.isOrgUnitOfPublication.latestForDiscovery1f8041b8-563c-4766-90b9-4dd9c0101666
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina Veterinária, Araçatubapt
unesp.departmentApoio, Produção e Saúde Animal - FMVApt

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