4 research outputs found
A karyomorphological comparison of seven species of Achillea L. from Kurdistan of Iran
We conducted the present study on seven important medicinal species of Achillea (in a total of 28 populations) in their natural habitats. The results indicated that the populations had a base number (x= 9) and the diploid, tetraploid, and hexaploidy levels were observed. In addition to the inter-species diversity, there was the intra-species genetic diversity as A. millefolium (4x, 6x), A. vermicularis (2x, 4x), A. tenuifolia (2x, 4x), A. Aleppica (2x), A. talagonica (2x), A. biebersteinii, and A. wilhelmsii (4x). Furthermore, studies also indicated that 11 out of 28 populations had 1A symmetry, 15 populations had 2B symmetry, a population had 2A, and another population had 2B. Cluster analysis of cytogenetic variables could differentiate only the species of A. aleppica, A. talagonica and A. wilhelmsii but others could not separate differences between species appropriately, probably due to the superiority of intra-species diversity of populations to inter-species diversity. Furthermore, we found %TF and DRL are useful parameters for differentiating intrachromosomal variation of species
Mapping 123 million neonatal, infant and child deaths between 2000 and 2017
Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2—to end preventable child deaths by 2030—we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000–2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations
Influence of N, K, and Seaweed Extract Fertilization on Biomass, Photosynthetic Pigments, and Essential Oil of <i>Thymus vulgaris</i>: Optimization Study by Response Surface Methodology
Nutrient management has a decisive impact on the biomass and essential oil yield of medicinal plants. This study aimed to determine the optimal levels of nitrogen, potassium, and seaweed extract fertilizers to maximize the yield and quality of thyme using the response surface methodology (RSM). The experiment was laid out as a Box-Behnken design with three replications and three experimental factors, including nitrogen (urea) (0, 200, and 400 kg ha−1), and foliar application of potassium (Flourish Sulfopotash) (0, 6, and 12 kg ha−1) and seaweed extract (0, 3, and 6 L ha−1). The generated models were statistically significant for all measured traits except for γ-terpinene and p-cymene. While the influence of N on the amount of photosynthetic pigments followed a quadratic trend, the response of total chlorophyll and carotenoids to increasing potassium was linear. The response of biomass yield to N and seaweed was quadratic and linear, respectively. Potassium application had no significant influence on biomass. Essential oil yield reached its peak value (12 kg ha−1) when N and seaweed were applied at their intermediate levels and with the maximum application rate of potassium. Thymol was identified as the highest essential oil component (46.1%), followed by γ-terpinene (19.2%), p-cymene (14.1%), and carvacrol (5.6%). The optimization results suggested that the application of 162 kg ha−1 urea, 12 kg ha−1 Flourish Sulfopotash, and 4 L ha−1 seaweed extract was sufficient to produce the maximum dry matter (1247 kg ha−1), and more than 11 kg ha−1 of essential oil, with a concentration of 1%. Through optimization, the amounts of thymol and carvacrol were estimated to be as much as 44.2% and 6.2%, respectively. The results of the study suggested that resource optimization through RSM can be used as an efficient method to manage the consumption of fertilizers in thyme production