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SciELO - Scientific Electronic Library Online

Referencias del artículo

HLEAP, Jose Sergio; MEJIA-FALLA, Paola Andrea  y  CARDENAS, Heiber. Relaciones morfométricas de la raya redonda Urotrygon rogersi: implicaciones cuantitativas bajo modelos linealesMorphometric relationships of the round ray Urotrygon rogersi: quantitative implications under linear models. Rev. biol. mar. oceanogr. [online]. 2012, vol.47, n.1, pp. 35-50. ISSN 0718-1957.  http://dx.doi.org/10.4067/S0718-19572012000100004.

    Albrecht GH. 1978. Some comments on the use of ratios. Systematic Zoology 27: 67-71. [ Links ]

    Anderson TW & DA Darling. 1952. Asymptotic theory of certain 'goodness of fit' criteria based on stochastic processes. The Annals of Mathematical Statistics 23: 193-212. [ Links ]

    Arthur W. 2004. Towards a spineless stickleback. Heredity 93: 239-240. [ Links ]

    Blalock HMJ. 1963. Correlated independent variables: the problem of multicollinearity. Social Forces 42: 233-237. [ Links ]

    Box GEP & DR Cox. 1964. An analysis of transformations. Journal of the Royal Statistical Society, Series B (Methodological) 26: 211-252. [ Links ]

    Cheverud JM. 1996. Developmental integration and the evolution of pleiotropy. American Zoologist 36: 44-50. [ Links ]

    Cheverud JM. 2000. Detecting epistasis among quantitative trait loci. In: Wolf JB, ED Brodie & MJ Wade (eds). Epistasis and the evolutionary process, pp. 82-98. Oxford University Press, Oxford. [ Links ]

    Chevolot M, JR Ellis, AD Rijnsdorp, WT Stam & JL Olsen. 2007. Multiple paternity analysis in the thornback ray Raja clavata L. The Journal of Heredity 98: 712-715. [ Links ]

    Cohen J, P Cohen, SG West & LS Aiken. 2003. Applied multiple regression/correlation analysis for the behavioral sciences, 703 pp. Lawrence Earlbaum Associates, Mahwah. [ Links ]

    Daly-Engel TS, RD Grubbs, BW Bowen & RJ Toonen. 2007. Frequency of multiple paternity in an unexploited tropical population of sandbar sharks (Carcharhinus plumbeus). Canadian Journal of Fisheries and Aquatic Sciences 64: 198-204. [ Links ]

    Fahmy T & A Aubry. 2009. XLSTAT. Addinsoft. <http://www.xlstat.com> [ Links ]

    Falconer DS & TFC Mackay. 1996. Introduction to quantitative genetics, 464 pp. Longman Scientific and Technical, Essex. [ Links ]

    Feldheim KA, SH Gruber & MV Ashley. 2001. Population genetic structure of lemon shark (Negaprion brevirostris) in the western Atlantic: DNA microsatellite variation. Molecular Ecology 10: 295-303. [ Links ]

    Fleiss JL. 1981. Statistical methods for rates and proportions, 321 pp. John Wiley & Sons, New York. [ Links ]

    Gillespie JH. 2004. Population genetics: A concise guide, 214 pp. The Johns Hopkins University Press, Baltimore. [ Links ]

    Hair JF Jr, RE Anderson, RL Tatham & WC Black. 1995. Multivariate data analysis, 57 pp. Macmillan, New York. [ Links ]

    Houle D. 1992. Comparing evolvability and variability of quantitative traits. Genetics 130: 195-204. [ Links ]

    Jarque CM & AK Bera. 1980. Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters 6: 255-259. [ Links ]

    Kennedy P. 1992. A guide to econometrics, 410 pp. Blackwell, Oxford. [ Links ]

    Kruuk LEB & JD Hadfield. 2007. How to separate genetic and environmental causes of similarity between relatives. Journal of Evolutionary Biology 20: 1890-1903. [ Links ]

    Last PR, WT White, JJ Pogonoski & D Gledhill. 2008. Descriptions of new Australian skates (Batoidea: Rajoidei), 281 pp. CSIRO Marine and Atmospheric Research, Hobart. [ Links ]

    Lilliefors H. 1967. On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association 62: 399-402. [ Links ]

    Mason RL, RF Gunst & JL Hess. 2003. Statistical design and analysis of experiments: Applications to engineering and science, 728 pp. Wiley, New York. [ Links ]

    Mejía-Falla PA, AF Navia & E Cortés. 2012. Reproductive parameters of Urotrygon rogersi (Batoidea: Urotrygonidae): a species with a trianual reproductive cycle in the eastern tropical Pacific Ocean. Journal of Fish Biology 79: 1-121. [ Links ]

    Mejía-Mercado B. 2006. Aspectos taxonómicos y biológicos de las rayas espinosas del género Urotrygon en el Pacífico vallecaucano. Tesis de pregrado, Universidad Jorge Tadeo Lozano, Bogotá, 103 pp. [ Links ]

    Menard S. 1995. Applied logistic regression analysis: Sage University series on quantitative applications in the social sciences, 98 pp. Sage, Thousand Oaks. [ Links ]

    Milner JM, SD Albon, AW Illius, JM Pemberton & TH Clutton-Brock. 1999. Repeated selection of morphometric traits in the Soay sheep on St Kilda. Journal of Animal Ecology 68: 472-488. [ Links ]

    Miyake T, JD McEachran, PJ Walton & BK Hall. 1992. Development and morphology of rostral cartilages in batoid fishes (Chondrichthyes: Batoidea), with comments on homology within vertebrates. Biological Journal of the Linnean Society 46: 259-298. [ Links ]

    Mousseau TA & DA Roff. 1987. Natural selection and the heritability of fitness components. Heredity 59: 181-197. [ Links ]

    Navia AF, PA Mejía-Falla, LA Zapata, S Bessudo, G Soler & EA Rubio. 2009. Estado del conocimiento de tiburones y rayas del Pacífico Colombiano. En: Puentes V, AF Navia, PA Mejía-Falla, JP Caldas, MC Diazgranados & LA Zapata (eds). Avances en el conocimiento de tiburones, rayas y quimeras de Colombia, pp. 133-194. Fundación SQUALUS, Ministerio de Ambiente Vivienda y Desarrollo Territorial, Instituto Colombiano Agropecuario, COLCIENCIAS, Conservación Internacional & WWF, Bogotá [ Links ]

    Neter J, W Wasserman & MH Kutner. 1989. Applied linear regression models, 667 pp. Irwin, Homewood. [ Links ]

    Nyquist WE & RJ Baker. 1991. Estimation of heritability and prediction of selection response in plant populations. Critical Reviews in Plant Sciences10: 235-322. [ Links ]

    O'Brien RM. 2007. A caution regarding rules of thumb for variance inflation factors. Quality & Quantity 41: 673-690. [ Links ]

    Piorski NM & JLS Nunes. 2000. Dimorfismo sexual e tendência alométrica de Urotrygon microphtalmum Delsman, 1941 (Elasmobranchii: Urolophidae). Boletim do Laboratório de Hidrobiologia 13: 67-81. [ Links ]

    Price T & D Schulter. 1991. On the low heritability of life-history traits. Evolution 45: 853-861. [ Links ]

    R Development Core Team. 2011. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. <http://www.R-project.org> [ Links ]

    Rohlf FJ. 2008. tpsDig, Version 2, Stony Brook, New York. <http://life.bio.sunysb.edu/morph/soft-dataacq.html> [ Links ]

    Savillea KJ, AM Lindleya, EG Mariesa, JC Carrier & HL Pratt. 2002. Multiple paternity in the nurse shark. Environmental Biology of Fishes 63: 347-351. [ Links ]

    Schlichting C& M Pigliucci. 1998. Phenotypic evolution: a reaction norm perspective, 387 pp. Sinauer, Sunderland. [ Links ]

    Shapiro SS, MB Wilk & HJ Chen. 1968. A comparative study of various tests of normality. Journal of the American Statistical Association 63: 1343-1372. [ Links ]

    Snoke MS & DEL Promislow. 2003. Quantitative genetic tests of recent senescence theory: age-specific mortality and male fertility in Drosophila melanogaster. Heredity 91: 546-556. [ Links ]

    Soper DS. 2012. A-priori sample size calculator for multiple regression http://www.danielsoper.com/statcalc3 [on line Software] [ Links ]

    StatSoft. 2007. STATISTICA (Data Analysis Software System). Version 8.0, Statsoft. <http://www.statsoft.com> [ Links ]

    Torres K. 2010. Técnicas morfométricas aplicadas al estudio taxonómico de rayas redondas del género Urotrygon (Batoidea: Urotrygonidae). Tesis de pregrado Biología, Universidad del Valle, Cali, Colombia, 78 pp. [ Links ]

    West-Eberhard MJ. 2004. Developmental plasticity and evolution, 794 pp. Oxford University Press, Oxford. [ Links ]

    Willmore KE, NM Young & JT Richtsmeier. 2007. Phenotypic variability: Its components, measurement and underlying developmental processes. Evolutionary Biology 34: 99-120. [ Links ]

    Wilson AJ & D Reale. 2006. Ontogeny of additive and maternal genetic effects: lessons from domestic mammals. The American Naturalist 167: 23-38. [ Links ]

    Wilson AJ, A Charmantier & JD Hadfield. 2008. Evolutionary genetics of ageing in the wild: empirical patterns and future perspectives. Functional Ecology 22: 431-442. [ Links ]

    Wold S, M Sjöström & L Eriksson. 2001. PLS-regression: a basic tool of chemometrics. Chemometrics and Intelligent Laboratory Systems 58: 109-130. [ Links ]

    Wu R & W Hou. 2006. A hyperspace model to decipher the genetic architecture of developmental processes: allometry meets ontogeny. Genetics 172: 627-637. [ Links ]