Literature DB >> 20591324

Endocrine milieu of perioestrus in the giant panda (Ailuropoda melanoleuca), as determined by non-invasive hormone measures.

David C Kersey1, David E Wildt, Janine L Brown, Rebecca J Snyder, Yan Huang, Steven L Monfort.   

Abstract

The aim of the present study was to determine the efficacy of faecal hormonal measures for evaluating ovarian activity in a significant sized cohort of giant pandas during the perioestrual period. Faecal excretion of oestrogen and progestagen metabolites corresponded with urinary patterns and receptive behaviours. Longitudinal assessment of 10 females revealed that, on average, faecal oestrogen concentrations started to rise (P < 0.05) above baseline (baseline mean +/- s.e.m.; 64.7 +/- 6.6 ng g(-1)) 5 days before the preovulatory oestrogen peak (484.6 +/- 126.8 ng g(-1)), which was followed by a gradual descent over 4 days to nadir. Mean faecal progestagen metabolite concentrations increased approximately twofold above baseline (from 186.2 +/- 37.7 to 347.2 +/- 75.7 ng g(-1); P < 0.05) during the 20-day interval after the preovulatory oestrogen surge. Variability within and among females precluded the use of a threshold of oestrogen or progestagen metabolites to predict reproductive status, yet faeces collected 2-3 days per week provided sufficient data to recognise that an individual was in the perioestrual period. Finally, in females that were examined for at least 3 consecutive years, there was an 18-53 day variation in the onset and an 8-13 day variation in the duration of perioestrual behaviour from year to year. In summary, these findings indicate that gonadal hormone profiles associated with the period immediately before, during and after oestrus are accurately revealed by analysis of the fibrous faeces of the giant panda. This approach has potential value for providing point-in-time information on the reproductive status of free-living individuals.

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Year:  2010        PMID: 20591324     DOI: 10.1071/RD09178

Source DB:  PubMed          Journal:  Reprod Fertil Dev        ISSN: 1031-3613            Impact factor:   2.311


  6 in total

1.  The acute phase protein ceruloplasmin as a non-invasive marker of pseudopregnancy, pregnancy, and pregnancy loss in the giant panda.

Authors:  Erin L Willis; David C Kersey; Barbara S Durrant; Andrew J Kouba
Journal:  PLoS One       Date:  2011-07-13       Impact factor: 3.240

2.  Fecal near infrared spectroscopy to discriminate physiological status in giant pandas.

Authors:  Erin E Wiedower; Andrew J Kouba; Carrie K Vance; Rachel L Hansen; Jerry W Stuth; Douglas R Tolleson
Journal:  PLoS One       Date:  2012-06-13       Impact factor: 3.240

3.  Urinary profiles of luteinizing hormone, estrogen and progestagen during the estrous and gestational periods in giant pandas (Ailuropda melanoleuca).

Authors:  Kailai Cai; Shangmian Yie; Zhihe Zhang; Juan Wang; Zhigang Cai; Li Luo; Yuliang Liu; Hairui Wang; He Huang; Chengdong Wang; Xiangming Huang; Jingchao Lan; Rong Hou
Journal:  Sci Rep       Date:  2017-01-16       Impact factor: 4.379

4.  The novel use of urinary androgens to optimise detection of the fertile window in giant pandas.

Authors:  Kirsten S Wilson; Desheng Li; Iain Valentine; Alan McNeilly; Simon Girling; Rengui Li; Yingmin Zhou; Lynn Vanhaecke; W Colin Duncan; Jella Wauters
Journal:  Reprod Fertil       Date:  2022-06-30

5.  Use of urinary 13,14, dihydro-15-keto-prostaglandin F2α (PGFM) concentrations to diagnose pregnancy and predict parturition in the giant panda (Ailuropoda melanolecua).

Authors:  Beth M Roberts; Janine L Brown; David C Kersey; Rebecca J Snyder; Barbara S Durrant; Andrew J Kouba
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

6.  Urinary specific gravity as an alternative for the normalisation of endocrine metabolite concentrations in giant panda (Ailuropoda melanoleuca) reproductive monitoring.

Authors:  Jella Wauters; Kirsten S Wilson; Tim Bouts; Iain Valentine; Koen Vanderschueren; Cyrillus Ververs; A Forbes Howie; Mick T Rae; Ann Van Soom; Rengui Li; Desheng Li; Hemin Zhang; Lynn Vanhaecke
Journal:  PLoS One       Date:  2018-07-26       Impact factor: 3.240

  6 in total

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