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Author (up) Palmer, M.; Gibbons, R.; Bhagavathula, R.; Holshouser, D. url  openurl
  Title Roadway Lighting’s Impact on Altering Soybean Growth – Volume 2: LED versus HPS Color Spectral Impact Type Journal Article
  Year 2018 Publication Technical Report Abbreviated Journal  
  Volume FHWA-ICT-18-009 Issue Pages  
  Keywords Plants  
  Abstract The impact of roadway lighting on soybean plant growth and development, was measured in situ at three locations in the state of Illinois. These locations were situated in close proximity of each other for the purpose of evaluating whether there was a difference in the soy response to HPS roadway lighting, versus soy lit by a specific model of 4,000K LED roadway lighting. The plant data collection included the reproductive-stage, the plant moisture content, and the dried seed weight after harvest. The impact of the type of roadway lighting on the reproduction stage and normalized yield was within the modeling confidence limits at a level of 90%. Modifications are recommended to the specification for roadway lighting trespass. This will minimize the impact on soybean plants based on the two roadway luminaire designs included in this study.  
  Address  
  Corporate Author Thesis  
  Publisher Illinois Center for Transportation/Illinois Department of Transportation Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0197-9191 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2264  
Permanent link to this record
 

 
Author (up) Pan, J.; Hu, Y. url  doi
openurl 
  Title Spatial Identification of Multi-dimensional Poverty in Rural China: A Perspective of Nighttime-Light Remote Sensing Data Type Journal Article
  Year 2018 Publication Journal of the Indian Society of Remote Sensing Abbreviated Journal J Indian Soc Remote Sens  
  Volume 46 Issue 7 Pages 1093-1111  
  Keywords Remote sensing  
  Abstract Poverty has emerged as one of the chronic dilemmas facing the development of human society during the twenty first century. Accurately identifying regions of poverty could lead to more effective poverty-alleviation programs. This study used a new type of remote-sensing data, NPP-VIIRS, to locate poverty-stricken areas based on nighttime light, taking Chongqing Municipality as a sample, and constructed a multidimensional poverty index (MPI) system, guided by a well-known and widely used conceptual framework of sustainable livelihood. A regression model was constructed and results were correlated with those using the average nighttime light index. The model was then tested on Shaanxi Province, and average relative error of the estimated MPI was only 11.12%. These results showed that multidimensional poverty had a high spatial concentration effect at the regional scale. We then applied the index nationwide, at the county scale, analyzing 2852 counties, which we divided into seven classifications, based on the MPI: extremely low, low, relatively low, medium, relatively high, high, and extremely high. Eight hundred forty-eight counties in 26 provinces were identified as multidimensionally poor. Among these, 254 were absolutely poor counties and 543 were relatively poor counties; 195 of these are not on the list of poverty-stricken counties as identified by income levels alone. By improving the accuracy of targeting, this method of identifying multidimensional poverty areas could help the Chinese government improve the effectiveness of poverty reduction strategies, and it could also be used as a reference for other countries or regions that seek to target poor areas that suffer multidimensional deprivation.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0255-660X ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number NC @ ehyde3 @ Serial 2095  
Permanent link to this record
 

 
Author (up) Park, C.Y. url  doi
openurl 
  Title Night Light Pollution and Ocular Fatigue Type Journal Article
  Year 2018 Publication Journal of Korean Medical Science Abbreviated Journal J Korean Med Sci  
  Volume 33 Issue 38 Pages e257  
  Keywords Commentary; Human Health  
  Abstract  
  Address Department of Ophthalmology, Dongguk University, Ilsan Hospital, Goyang, Korea  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1011-8934 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30220898; PMCID:PMC6137033 Approved no  
  Call Number GFZ @ kyba @ Serial 2011  
Permanent link to this record
 

 
Author (up) Patel, J.S.; Radetsky, L.; Rea, M.S. url  doi
openurl 
  Title The Value of Red Light at Night for Increasing Basil Yield Type Journal Article
  Year 2018 Publication Canadian Journal of Plant Science Abbreviated Journal Can. J. Plant Sci.  
  Volume 98 Issue 6 Pages 1321-1330  
  Keywords Plants  
  Abstract Sweet basil (<i>Ocimum basilicum L.</i>) is primarily used for culinary purposes, but it is also used in the fragrance and medicinal industries. In the last few years, global sweet basil production has been significantly impacted by downy mildew caused by <i>Peronospora belbahrii</i>. Nighttime exposure to red light has been shown to inhibit sporulation of <i>P. belbahrii</i>. The objective of this study was to determine if nighttime exposure to red light from light-emitting diodes (LEDs; λ<sub>max</sub> = 625 nm) could increase plant growth (plant height and leaf size) and yield (number and weight of leaves) in basil plants. In two sets of greenhouse experiments, red light was applied at a photosynthetic photon flux density (PPFD) of 60 µmol m<sup>-2</sup> s<sup>-1</sup> during the otherwise dark night for 10 hours (from 20:00 to 06:00). The results demonstrate that exposure to red light at night can increase the number of basil leaves per plant, plant height, leaf size (length and width), and leaf fresh and dry weight, compared to plants in darkness at night. The addition of incremental red light at night has the potential to be cost-effective for fresh organic basil production in controlled environments.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0008-4220 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 1955  
Permanent link to this record
 

 
Author (up) Pattison, P.M.; Tsao, J.Y.; Brainard, G.C.; Bugbee, B. url  doi
openurl 
  Title LEDs for photons, physiology and food Type Journal Article
  Year 2018 Publication Nature Abbreviated Journal Nature  
  Volume 563 Issue 7732 Pages 493-500  
  Keywords Lighting; Human Health; Plants; Review  
  Abstract Lighting based on light-emitting diodes (LEDs) not only is more energy efficient than traditional lighting, but also enables improved performance and control. The colour, intensity and distribution of light can now be controlled with unprecedented precision, enabling light to be used both as a signal for specific physiological responses in humans and plants, and as an efficient fuel for fresh food production. Here we show how a broad and improved understanding of the physiological responses to light will facilitate greater energy savings and provide health and productivity benefits that have not previously been associated with lighting.  
  Address Utah State University, Logan, UT, USA  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0028-0836 ISBN Medium  
  Area Expedition Conference  
  Notes PMID:30464269 Approved no  
  Call Number GFZ @ kyba @ Serial 2110  
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