R code and data for "Refining the moose serum progesterone threshold to diagnose pregnancy"

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2010-01-01
2020-02-28

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R code and data for "Refining the moose serum progesterone threshold to diagnose pregnancy"

Published Date

2022-04-06

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Author Contact

Severud, William J.
seve0135@umn.edu

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Dataset

Abstract

Pregnancy determination is necessary for sound wildlife management and understanding population dynamics. Pregnancy rates are sensitive to environmental and physiological factors and may indicate the overall trajectory of a population. Pregnancy can be assessed through direct methods (rectal palpation, sonography) or indicated using hormonal assays (serum progesterone or pregnancy-specific protein B, fecal progestogen metabolites). A commonly used threshold of 2 ng/ml of progesterone in serum has been used by moose biologists to indicate pregnancy but has not been rigorously investigated. To refine this threshold, we examined the relationship between progesterone concentrations in serum samples and pregnancy in 87 moose (Alces alces; 64 female, 23 male) captured from 2010 to 2020 in the Grand Portage Indian Reservation in northeastern Minnesota, USA. Pregnancy was confirmed via rectal palpation (n = 25), necropsy (n = 2), calf observation (n = 25), or characteristic pre-calving behavior (n = 6), with a total of 58 females determined pregnant and 6 not pregnant; 23 males were included to increase the non-pregnant sample size. Using receiver operating characteristic analysis, we identified an optimal threshold of 1.115 ng/ml with a specificity of 0.97 (95% confidence interval [CI] = 0.90–1.00) and a sensitivity of 0.98 (95% CI = 0.95–1.00). Progesterone concentrations were significantly higher in cases of pregnant versus non-pregnant cows, but we did not detect a difference between single and twin births. We applied our newly refined threshold to calculate annual pregnancy rates for all female moose (n = 133) captured in Grand Portage from 2010 to 2021. Mean pregnancy rate during this period was 91% and ranged annually from 69.2 to 100%. Developing a reliable method for determining pregnancy status via serum progesterone analyses will allow wildlife managers to assess pregnancy rates of moose without devoting substantial time and resources to palpation and calf monitoring.

Description

Raw data of serum progesterone concentrations and associated metadata (ID, sex, number of calves) of moose captured on the Grand Portage Indian Reservation in northeastern Minnesota, USA and code to perform analyses to determine a threshold of serum progesterone to indicate pregnancy.

Referenced by

Struck et al., Determining the threshold of serum progesterone to diagnose pregnancy in moose, in prep, Conservation Physiology

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Funding information

Minnesota Zoo Ulysses S. Seal Conservation Fund
U.S. EPA Great Lakes Restoration Initiative
US Fish and Wildlife Services Tribal Wildlife Grant Program
Bureau of Indian Affairs Endangered Species Program
Indianapolis Zoo Conservation Grant

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Suggested citation

Struck, Madeline; Severud, William J.; Chenaux-Ibrahim, Yvette M.; Isaac, Edmund J.; Brown, Janine L.; Moore, Seth A.; Wolf, Tiffany M.. (2022). R code and data for "Refining the moose serum progesterone threshold to diagnose pregnancy". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/54ej-e238.
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File View/OpenDescriptionSize
ReadMe.txtDescription of data7.52 KB
ROC_DRUM.RmdRMD code3.36 KB
ROC_DRUM.htmlCompiled results of RMD code857.38 KB
ROCFinal.csvDataset2.46 KB

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