2017
DOI: 10.1016/j.ygcen.2017.01.023
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Characterization and longitudinal monitoring of serum androgens and glucocorticoids during normal pregnancy in the killer whale (Orcinus orca)

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Cited by 48 publications
(63 citation statements)
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“…Fecal progesterone metabolites spiked around mid-pregnancy in our study, consistent with the time when 5α -DHP predominated in serum [15]. It is also noteworthy that our testosterone antibody [37,40] followed a similar temporal pattern in SRKW to that described for captive whales by [16]. That also supports the reliability of our projected conception dates and occurrences of spontaneous abortion.…”
Section: Discussionsupporting
confidence: 88%
“…Fecal progesterone metabolites spiked around mid-pregnancy in our study, consistent with the time when 5α -DHP predominated in serum [15]. It is also noteworthy that our testosterone antibody [37,40] followed a similar temporal pattern in SRKW to that described for captive whales by [16]. That also supports the reliability of our projected conception dates and occurrences of spontaneous abortion.…”
Section: Discussionsupporting
confidence: 88%
“…Estrogen levels during gestation tended to being higher for pregnancies with female calves, although we cannot conclusively state if there is a sex specific difference, as has been reported in other species such as orcas (Orcinus orca) [31] and red-fronted lemurs (Eulemur fulvus rufus) [32]. In contrast to the trend in pygmy hippos, estrogen levels during gestation were higher in mother's carrying male calves for both of these species.…”
Section: Discussioncontrasting
confidence: 72%
“…Statistical analyses were performed using Stata statistical software (version 14; StataCorp LP, College Station, TX, USA). A two‐stage mixed effects maximum likelihood (ML) regression model (West et al.,2015, Robeck et al., 2017) quantifying the relationship between the dependent variable (analyte), the fixed effects variable (stage 1, animal age or age category, sex, and season) and the random effects variable, animal ID (stage 2, n = 11, coded 1‐32), was used to control for the variance associated with an unequal number of repeated measures per animal. The mixed effects model was used because it can incorporate the effect of the variance associated with the unbalanced design between and the correlated repeated measures from within each animal with the effects of any independent or fixed variables to predict their collective effect on the sample means (marginal means).…”
Section: Methodsmentioning
confidence: 99%