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dc.contributor.advisorWilliams, Dean A.
dc.contributor.authorFrankel, Anna Margaret Dalbyen_US
dc.date.accessioned2014-07-22T18:48:15Z
dc.date.available2014-07-22T18:48:15Z
dc.date.created2011en_US
dc.date.issued2011en_US
dc.identifierUMI thesisen_US
dc.identifieretd-05022011-162749en_US
dc.identifierumi-10222en_US
dc.identifiercat-001677146en_US
dc.identifier.urihttps://repository.tcu.edu:443/handle/116099117/4310
dc.description.abstractLittle is known about the genetic mating system of the Kemp's ridley sea turtle, Lepidochelys kempii. Jensen et al. (2006) found a positive relationship between the incidence of multiple paternity (MP) and the estimated population size of rookeries. In the high density Kemp's ridley Rancho Nuevo rookery, Kichler et al. (1999) estimated 81% of nests were multiply sired (Wang 2004). If MP is positively related to nesting female density, then MP in Kemp's ridley should be lower on a low-density nesting beach on South Padre Island, Texas (SPI) than in a Mexico's much larger nesting population. We genotyped 154 hatchling tissue samples from nests on SPI at 14 microsatellite loci. Results using full sibship reconstruction as implemented in COLONY indicated that 52% of nests with two or more samples (11 of 21) exhibited MP. This suggests that this species does not follow the female density trend proposed by Jensen et al. (2006) and maintains high levels of MP and genetic variation across its nesting range.en_US
dc.format.mediumFormat: Onlineen_US
dc.publisher[Fort Worth, Tex.] : Texas Christian University,en_US
dc.relation.ispartofTCU Master Thesisen_US
dc.relation.requiresMode of access: World Wide Web.en_US
dc.relation.requiresSystem requirements: Adobe Acrobat reader.en_US
dc.titleEstimating incidence of multiple paternity of Kemp's Ridley sea turtles on South Padre Island, Texasen_US
dc.typeTexten_US
etd.degree.departmentDepartment of Biology
etd.degree.levelMaster
local.collegeCollege of Science and Engineering
local.departmentBiology
local.academicunitDepartment of Biology
dc.type.genreThesis
local.subjectareaBiology
etd.degree.nameMaster of Science


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