Department of Wildland Resources, Utah State University, Logan, UT 84322, USA.
U.S. Department of Agriculture-Wildlife Services-National Wildlife Research Center, Department of Wildland Resources, Utah State University, Logan, UT 84322, USA.
Gen Comp Endocrinol. 2021 Oct 1;312:113841. doi: 10.1016/j.ygcen.2021.113841. Epub 2021 Jul 1.
Pregnancy status is a key parameter used to assess reproductive performance of a species as it represents a starting point for measuring vital rates. Vital rates allow managers to determine trends in populations such as neonate survival and recruitment; two important factors in ungulate population growth rates. Techniques to determine pregnancy have generally involved capture and restraint of the animal to obtain blood samples for determining serum hormone levels. Non-invasive pregnancy assessment, via feces, eliminates any hazards between handler and animal, as well as removes handling-induced physiological biases. Using noninvasive fecal sampling, we conducted hormone validations, investigated pregnancy rates, and determined hormone degradation rates across five subpopulations of pronghorn (Antilocapra americana) in Idaho. Samples were collected during April-May of 2018 and 2019 from adult pronghorn of known sex and age class. Metabolites of testosterone, cortisol, 17β-estradiol, and progesterone were measured in fecal samples, and concentrations of estradiol and progesterone were examined for pregnancy determination. Average fecal progesterone metabolite (FPM) levels of pregnant females were more than double compared to levels of nonpregnant females. Fecal estrogen metabolite (FEM) levels did not differ during concurrent sampling. The largest difference in FPM levels between pregnant and nonpregnant females began on 28 April. Pregnancy determination sampling showed average FPM levels for all five subpopulations were significantly different than the nonpregnant female validation group. Nonetheless, pregnancy rates for some subpopulations lacked conclusive estimates due to early fecal sampling. Fecal glucocorticoid metabolites (FGM) levels significantly differed between pregnant females and male pronghorn, but did not differ from nonpregnant females. Degradation rates of FPM and FGM differed across days, with values for FPM from Day 1 being significantly different from all subsequent days, and after Day 9 for FGM, demonstrating the requirement of fresh samples to accurately measure hormone concentrations. We concluded that a noninvasive method to diagnosis pregnancy is possible in pronghorn via progesterone metabolites if fresh samples are collected during late gestation.
妊娠状态是评估物种生殖性能的关键参数,因为它是衡量生命率的起点。生命率允许管理者确定种群的趋势,如新生儿存活率和补充率;这是有蹄类动物种群增长率的两个重要因素。确定妊娠的技术通常涉及捕获和限制动物以获取血清激素水平的血液样本。通过粪便进行非侵入性妊娠评估,可以消除处理者和动物之间的任何危险,以及消除处理引起的生理偏差。我们使用非侵入性粪便采样,对怀俄明州的五个叉角羚(Antilocapra americana)亚种群进行了激素验证、妊娠率调查和激素降解率测定。2018 年和 2019 年 4 月至 5 月期间,从已知性别和年龄类别的成年叉角羚中收集了样本。在粪便样本中测量了睾酮、皮质醇、17β-雌二醇和孕酮的代谢物,并检查了雌二醇和孕酮的浓度以确定妊娠情况。与非妊娠雌体相比,妊娠雌体的平均粪便孕酮代谢物(FPM)水平高出一倍多。同期采样时,粪便雌二醇代谢物(FEM)水平没有差异。FPM 水平在妊娠雌体和非妊娠雌体之间的最大差异始于 4 月 28 日。所有五个亚种群的妊娠判定采样的 FPM 水平与非妊娠雌体验证组均有显著差异。尽管如此,由于早期粪便采样,一些亚种群的妊娠率缺乏明确的估计。妊娠雌体与雄性叉角羚的粪便糖皮质激素代谢物(FGM)水平有显著差异,但与非妊娠雌体没有差异。FPM 和 FGM 的降解率在不同天数之间存在差异,第 1 天的 FPM 值与所有后续天数均有显著差异,FGM 在第 9 天后也有显著差异,表明需要新鲜样本才能准确测量激素浓度。我们得出结论,如果在妊娠晚期采集新鲜样本,叉角羚可以通过孕酮代谢物进行非侵入性妊娠诊断。