25 research outputs found
Motion sickness susceptibility fluctuates through the menstrual cycle
Background: Motion sickness is a common and potentially debilitating condition that characteristically occurs in situations of conflicting sensory input. While the precise stimuli that give rise to this trait are increasingly well characterized, the underlying determinants of individual susceptibility to motion sickness remain unclear. This study uses a classical twin design to assess the influence of genetic and environmental factors. Methods: A postal survey was conducted in an age-matched sample of 3652 monozygotic (MZ) and dizygotic (DZ) adult female twins selected from the TwinsUK Registry. Study participants were asked to complete items from a validated questionnaire relating to their lifetime susceptibility to motion sickness. The relative contribution of genetic and environmental factors to motion sickness susceptibility was assessed using variance components analysis. Results: The response rate to the questionnaire was 78%. Approximately 40% of respondents reported at least moderate susceptibility to motion sickness. The pattern of responses among twins indicated a significant genetic contribution with heritability for a motion sickness factor score estimated as 57% (95% CI: 51%, 63%). The heritability of recalled motion sickness was at its highest in childhood (70% [59%, 80%]) and declined through puberty and the early adult years. Discussion and Conclusions: The findings highlight the importance of genetic factors in determining an individual's underlying propensity to motion sickness and should stimulate the search for specific susceptibility genes
Creating Opportunities for Domesticating and Commercializing Miombo Indigenous Fruit Trees in Southern Africa
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Will dairy cattle production in West Africa be challenged by heat stress in the future?
This study focuses on heat stress conditions for dairy cattle production in West Africa under current and future climatic conditions. After testing the accuracy of the dynamically downscaled climate datasets for simulating the historical daily maximum temperature (Tmax) and relative humidity (RH) in West Africa for 50 meteorological stations, we used the dataset for calculating the temperature-humidity index (THI), i.e., an index indicating heat stress for dairy cattle on a daily scale. Calculations were made for the historical period (1981–2010) using the ERA-Interim reanalysis dataset, and for two future periods (2021–2050 and 2071–2100) using climate predictions of the GFDL-ESM2M, HadGEM2-ES, and MPI-ESM-MR Global Circulation Models (GCMs) under the RCP4.5 emission scenario. Here, we show that during the period from 1981 to 2010 for > 1/5 of the region of West Africa, the frequency of severe/danger heat events per year, i.e., events that result in significant decreases in productive and reproductive performances, increased from 11 to 29–38 days (significant at 95% confidence level). Most obvious changes were observed for the eastern and southeastern parts. Under future climate conditions periods with severe/danger heat stress events will increase further as compared with the historical period by 5–22% depending on the GCM used. Moreover, the average length of periods with severe/danger heat stress is expected to increase from ~ 3 days in the historical period to ~ 4–7 days by 2021–2050 and even to up to 10 days by 2071–2100. Based on the average results of three GCMs, by 2071–2100, around 22% of dairy cattle population currently living in this area is expected to experience around 70 days more of severe/danger heat stress (compare with the historical period), especially in the southern half of West Africa. The result is alarming, as it shows that dairy production systems in West Africa are jeopardized at large scale by climate change and that depending on the GCM used, milk production might decrease by 200–400 kg/year by 2071–2100 in around 1, 7, or 11%. Our study calls for the development of improved dairy cattle production systems with higher adaptive capacity in order to deal with expected future heat stress conditions.</p