Increasing Food Production in Drylands Using Agrivoltaics

In the desert, native plants respond to the hottest part of the day by either closing their stomata, which would stop photosynthesis, or by simply reducing their photosynthesis rates due to heat stress. Soil water resources are also impacted due to significant evaporation. If plants have more shade during the day, will they photosynthesize more in the afternoon than plants without shade? Will these plants with shade transpire less, and thus need to be watered less? This study takes a look at plants which have grown under a photovoltaics array (a new agriculture practice called agrivoltaics) as well as plants which have grown in the open (modeling traditional agriculture practices). It was hypothesized the agrivoltaics practice will benefit plants by providing them shade and retaining soil moisture during the day as well as benefiting the photovoltaics by keeping them cooler to increase their efficiency. This study was designed to determine whether growing under the photovoltaic panels is beneficial, by collecting and analyzing data on photosynthesis (carbon uptake) and transpiration (water loss) rates of 8+ different species. These measurements will help answer which plants are best suited for being planted in an agrivoltaics installation

Charting the Differences in Plant Growth Between Gardens in the Open and Under Solar Panels

Agrivoltaics is a relatively new arrangement of land use that collocates agriculture and solar photovoltaic panels. Within the context of several ongoing projects testing the practicality of agrivoltaics in the arid climate of southern Arizona, we used a portable photosynthesis analyzer to compare the rates of carbon uptake and water loss in Chiltepin, Jalapño, and Tomato plants grown under solar panels and in the open, as in traditional agriculture. The portable photosynthesis analyzer creates a microenvironment around the leaf that regulates temperature, carbon dioxide, humidity, and light to assess plant functions in ambient and artificial conditions. Two sets of measurements were taken, the first in dry conditions and the second in well-watered conditions. The goal is to gain insight into the tradeoffs of agrivoltaics in terms of photosynthesis and transpiration rates, water use efficiency, fruit production, and plant mass. The project has implications for food and energy production, especially on local scales and in arid regions

Immunoglobulin Concentrations in Plasma and Saliva During the Neonatal Period

Screening for infectious diseases in newborns using immunoglobulin (Ig)A-, IgM-, and IgE-specific antibodies is expensive and impractical. To determine if total levels of these Igs can be used for screening purposes, thus simplifying the process, their basic levels in the 1st month of extrauterine life need to be determined. Additionally, the ability to simplify screening by using saliva also needs to be determined. The aim of this study was to determine IgA, IgM, and IgE concentrations in plasma and saliva in newborns, correlation between the samples, and relationship between Ig levels and newborn age. Methods: We enrolled 53 apparently healthy newborns, paired samples of plasma and saliva were collected, and total IgA, IgM, and IgE concentrations determined by capture enzyme-linked immunosorbent assay. The correlation between plasma and saliva values was calculated by Spearman's rank correlation coefficient and the IgA, IgM, and IgE distributions were analyzed by the Shapiro-Wilk test. We also determined the level of each Ig concentration according to age. Results: IgA and IgM levels in plasma and IgA levels in saliva increased significantly during 1st month of life, especially in the 2nd week and 3rd week, with a good correlation of IgA between plasma and saliva. IgE levels in both plasma and saliva and IgM levels in saliva were very low or absent. Conclusion: These results suggest that Igs in saliva could be good biomarkers for newborn screening programs during the 1st week of life. This study established reference values for Igs according to age in the neonatal period

Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility

To access publisher's full text version of this article click on the hyperlink at the bottom of the pageTo further understanding of the genetic basis of type 2 diabetes (T2D) susceptibility, we aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry. We observed a significant excess in the directional consistency of T2D risk alleles across ancestry groups, even at SNPs demonstrating only weak evidence of association. By following up the strongest signals of association from the trans-ethnic meta-analysis in an additional 21,491 cases and 55,647 controls of European ancestry, we identified seven new T2D susceptibility loci. Furthermore, we observed considerable improvements in the fine-mapping resolution of common variant association signals at several T2D susceptibility loci. These observations highlight the benefits of trans-ethnic GWAS for the discovery and characterization of complex trait loci and emphasize an exciting opportunity to extend insight into the genetic architecture and pathogenesis of human diseases across populations of diverse ancestry.Canadian Institutes of Health Research Medical Research Council UK G0601261 Mexico Convocatoria SSA/IMMS/ISSSTE-CONACYT 2012-2 clave 150352 IMSS R-2011-785-018 CONACYT Salud-2007-C01-71068 US National Institutes of Health DK062370 HG000376 DK085584 DK085545 DK073541 DK085501 Wellcome Trust WT098017 WT090532 WT090367 WT098381 WT081682 WT085475info:eu-repo/grantAgreement/EC/FP7/20141