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All of Qualitas Health's products feature 100% vegan, algae-based ingredients that are specifically designed to deliver highly bioavailable omega-3s in an easy to digest form. Their flagship ingredient Almega PL® delivers the omega-3 EPA naturally bound to polar lipids to provide superior digestibility and absorption. EPA is best known for its cardiovascular benefits, though it also has a positive impact on mood, skin and joint health. "Omega-3 is an essential nutrient that represents an exciting market, currently dominated by fish and krill. Many people don't realize, however, that fish and krill get their omega-3s from algae," said Qualitas Health CEO Miguel Calatayud. "We are thrilled to be partnering with the expert farmers at Green Stream Farms to bring vegan, sustainably produced nutritional products to more people than ever before, and to become the truly green alternative in the omega-3 world." Added Tom Richard, CEO of Green Stream Farms: "We are proud to partner with Qualitas Health to produce algae on a commercial scale. Our partnership will lead the industry in taking a true farming approach to algae production. We plan to continue to find innovative ways for algae to become a more sustainable product." Algae is a super crop packed with nutrients like protein, omega-3s and omega-7s, capable of flourishing in arid environments and utilizing readily available inputs like salt water and CO2 to grow. Compared to other staple crops, algae is both faster growing and more nutrient dense: algae produces 300 times more protein per acre than peas. Qualitas Health's new algae farm in Columbus, New Mexico, will expand the company's total acreage to 150 acres in cultivation, roughly equivalent to 45,000 acres of peas in terms of protein yield. Until recently, the nutritional promise of algae remained unrealized, as it proved too expensive to farm in substantial quantities. Qualitas has created a global algae-based products platform to deliver vegan, highly bioavailable nutritional products with full traceability, starting with omega-3 supplements. The Green Stream Farms partnership will enable Qualitas Health to expand its algae production to meet growing national and international demand for its vegan omega-3 supplements. About Qualitas Health: Qualitas Health is a food and nutrition company that is on a mission to revolutionize the way we nourish humanity by unleashing the potential of algae. An industry leader in algae cultivation, Qualitas Health has developed a proprietary platform to launch fully sustainable, vegan, algae-based nutritional products at scale. For more information, visit http://www.qualitas-health.com/. To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/qualitas-health-announces-new-production-partnership-to-triple-algae-production-becoming-global-alternative-in-the-omega-3-market-300463856.html


Waldmann P.,University of Natural Resources and Life Sciences, Vienna | Waldmann P.,Linköping University | Meszaros G.,University of Natural Resources and Life Sciences, Vienna | Gredler B.,Qualitas AG | And 2 more authors.
Frontiers in Genetics | Year: 2013

The number of publications performing genome-wide association studies (GWAS) has increased dramatically. Penalized regression approaches have been developed to overcome the challenges caused by the high dimensional data, but these methods are relatively new in the GWAS field. In this study we have compared the statistical performance of two methods (the least absolute shrinkage and selection operator-lasso and the elastic net) on two simulated data sets and one real data set from a 50 K genome-wide single nucleotide polymorphism (SNP) panel of 5570 Fleckvieh bulls. The first simulated data set displays moderate to high linkage disequilibrium between SNPs, whereas the second simulated data set from the QTLMAS 2010 workshop is biologically more complex. We used cross-validation to find the optimal value of regularization parameter γ with both minimum MSE and minimum MSE + 1SE of minimum MSE. The optimal γ values were used for variable selection. Based on the first simulated data, we found that the minMSE in general picked up too many SNPs. At minMSE + 1SE, the lasso didn't acquire any false positives, but selected too few correct SNPs. The elastic net provided the best compromise between few false positives and many correct selections when the penalty weight a was around 0.1. However, in our simulation setting, this a value didn't result in the lowest minMSE + 1SE. The number of selected SNPs from the QTLMAS 2010 data was after correction for population structure 82 and 161 for the lasso and the elastic net, respectively. In the Fleckvieh data set after population structure correction lasso and the elastic net identified from 1291 to 1966 important SNPs for milk fat content, with major peaks on chromosomes 5, 14, 15, and 20. Hence, we can conclude that it is important to analyze GWAS data with both the lasso and the elastic net and an alternative tuning criterion to minimum MSE is needed for variable selection. © 2013 Waldmann, Mészáros, Gredler, Fuerst and Sölkner.


AMSTERDAM, 20-Dec-2016 — /EuropaWire/ — TomTom (TOM2) Automotive has been handed the prestigious Innovation Supplier of the Year award by FCA (Fiat Chrysler Automobiles) Group. The prize was awarded during the 2016 “Qualitas” event in Turin, Italy. Recognising the support that TomTom Automotive has provided in creating and introducing new services for FCA brands, it’s the first time that a navigation supplier has received such an important award. Antoine Saucier, Managing Director, TomTom Automotive, said: “We’re delighted to be recognised by FCA Group for our commitment to innovation – it’s what drives us as an organisation, every day. Since our first PND integration almost ten years ago, we now supply three infotainment platforms in different FCA models with software, maps and services. We look forward to innovating with FCA all the way through 2017, and beyond.” TomTom Automotive is being recognised for the proactive collaboration with R&D in the definition and development of novel features.  Thanks to TomTom technology, FCA is now able to offer the next level of customer convenience in its Connected Live Services, including navigation, real time parking availability and personalised navigation. The “Qualitas” event, that brings together FCA Group’s strategic suppliers partners with its global management teams, takes place annually. The awards recognise suppliers that have shown extraordinary commitment to innovation, quality, continuous improvement and the Company’s Foundational Principles.


News Article | December 20, 2016
Site: www.businesswire.com

AMSTERDAM--(BUSINESS WIRE)--TomTom (TOM2) Automotive has been handed the prestigious Innovation Supplier of the Year award by FCA (Fiat Chrysler Automobiles) Group. The prize was awarded during the 2016 “Qualitas” event in Turin, Italy. Recognising the support that TomTom Automotive has provided in creating and introducing new services for FCA brands, it’s the first time that a navigation supplier has received such an important award. Antoine Saucier, Managing Director, TomTom Automotive, said: “We’re delighted to be recognised by FCA Group for our commitment to innovation – it’s what drives us as an organisation, every day. Since our first PND integration almost ten years ago, we now supply three infotainment platforms in different FCA models with software, maps and services. We look forward to innovating with FCA all the way through 2017, and beyond.” TomTom Automotive is being recognised for the proactive collaboration with R&D in the definition and development of novel features. Thanks to TomTom technology, FCA is now able to offer the next level of customer convenience in its Connected Live Services, including navigation, real time parking availability and personalised navigation. The “Qualitas” event, that brings together FCA Group’s strategic suppliers partners with its global management teams, takes place annually. The awards recognise suppliers that have shown extraordinary commitment to innovation, quality, continuous improvement and the Company's Foundational Principles. TomTom Automotive is the trusted partner for innovative and future-proof navigation technology for the global automotive industry. As a global leader in connected navigation software, traffic information, and digital real-time maps, we offer Automotive OEMs the modular components to create competitive infotainment systems, as well as the technology to enable the future self-driving cars to see beyond their sensors. At TomTom (TOM2) our mission is to make technology so easy to use, that everyone can benefit from it. We created easy to use navigation devices, helping millions of people to get where they want to be. Today, we continue to simplify the complex, making technology more accessible for everyone. We have four customer facing business units: Consumer, Telematics, Automotive and Licensing. We make easy to use navigation devices, sport watches and action cameras for consumers. We enable businesses with vehicles to more easily manage and improve fleet efficiency whilst increasing overall business performance with our Telematics solutions. We also offer a world leading real-time map platform that is powering innovative location based services and helping to make automated driving a reality for the automotive industry. Founded in 1991 and headquartered in Amsterdam, we have over 4,600 employees and sell our products worldwide.


Frkonja A.,University of Natural Resources and Life Sciences, Vienna | Gredler B.,Qualitas AG | Schnyder U.,Qualitas AG | Curik I.,University of Zagreb | Solkner J.,University of Natural Resources and Life Sciences, Vienna
Animal Genetics | Year: 2012

Swiss Fleckvieh was established in 1970 as a composite of Simmental (SI) and Red Holstein Friesian (RHF) cattle. Breed composition is currently reported based on pedigree information. Information on a large number of molecular markers potentially provides more accurate information. For the analysis, we used Illumina BovineSNP50 Genotyping Beadchip data for 90 pure SI, 100 pure RHF and 305 admixed bulls. The scope of the study was to compare the performance of hidden Markov models, as implemented in structure software, with methods conventionally used in genomic selection [BayesB, partial least squares regression (PLSR), least absolute shrinkage and selection operator (LASSO) variable selection)] for predicting breed composition. We checked the performance of algorithms for a set of 40 492 single nucleotide polymorphisms (SNPs), subsets of evenly distributed SNPs and subsets with different allele frequencies in the pure populations, using FST as an indicator. Key results are correlations of admixture levels estimated with the various algorithms with admixture based on pedigree information. For the full set, PLSR, BayesB and structure performed in a very similar manner (correlations of 0.97), whereas the correlation of LASSO and pedigree admixture was lower (0.93). With decreasing number of SNPs, correlations decreased substantially only for 5% or 1% of all SNPs. With SNPs chosen according to FST, results were similar to results obtained with the full set. Only when using 96 and 48 SNPs with the highest FST, correlations dropped to 0.92 and 0.90 respectively. Reducing the number of pure animals in training sets to 50, 20 and 10 each did not cause a drop in the correlation with pedigree admixture. © 2012 The Authors, Animal Genetics © 2012 Stichting International Foundation for Animal Genetics.


Ferencakovic M.,University of Zagreb | Hamzic E.,University of Natural Resources and Life Sciences, Vienna | Hamzic E.,Norwegian University of Life Sciences | Gredler B.,Qualitas AG | And 4 more authors.
Journal of Animal Breeding and Genetics | Year: 2013

Using genome-wide SNP data, we calculated genomic inbreeding coefficients (FROH > 1 Mb, FROH > 2 Mb, FROH > 8 Mb and FROH > 16 Mb) derived from runs of homozygosity (ROH) of different lengths (>1, >2, >8 and > 16 Mb) as well as from levels of homozygosity (FHOM). We compared these values of inbreeding coefficients with those calculated from pedigrees (FPED) of 1422 bulls comprising Brown Swiss (304), Fleckvieh (502), Norwegian Red (499) and Tyrol Grey (117) cattle breeds. For all four breeds, population inbreeding levels estimated by the genomic inbreeding coefficients FROH > 8 Mb and FROH > 16 Mb were similar to the levels estimated from pedigrees. The lowest values were obtained for Fleckvieh (FPED = 0.014, FROH > 8 Mb = 0.019 and FROH > 16 Mb = 0.008); the highest, for Brown Swiss (FPED = 0.048, FROH > 8 Mb = 0.074 and FROH > 16 Mb = 0.037). In contrast, inbreeding estimates based on the genomic coefficients FROH > 1 Mb and FROH > 2 Mb were considerably higher than pedigree-derived estimates. Standard deviations of genomic inbreeding coefficients were, on average, 1.3-1.7-fold higher than those obtained from pedigrees. Pearson correlations between genomic and pedigree inbreeding coefficients ranged from 0.50 to 0.62 in Norwegian Red (lowest correlations) and from 0.64 to 0.72 in Tyrol Grey (highest correlations). We conclude that the proportion of the genome present in ROH provides a good indication of inbreeding levels and that analysis based on ROH length can indicate the relative amounts of autozygosity due to recent and remote ancestors. © 2012 Blackwell Verlag GmbH.


News Article | November 24, 2016
Site: www.newsmaker.com.au

MarketStudyReport.com adds “Global Gigabit Ethernet Camera Market 2016-2020” new report to its research database. The report spread across 60 pages with table and figures in it. The research analysts forecast the global gigabit Ethernet (GigE) camera market to grow at a CAGR of 11% during the period 2016-2020. GigE is one of the fastest-growing interfaces that are being used for digital cameras. The application of these cameras ranges from military and defense to commercial in the field of image processing. GigE is a universally accepted digital interface, with rapidly increasing penetration. GigE cameras have the potential of replacing analog device applications in almost any application. Covered in this report The report covers the present scenario and the growth prospects of the global gigabit Ethernet (GigE) camera market for 2016-2020. To calculate the market size, the report considers the revenue generated through the sales of GigE cameras. The market is divided into the following segments based on geography: - Americas - APAC - EMEA Research report, Global Gigabit Ethernet (GigE) Camera Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market. Browse full table of contents and data tables at https://www.marketstudyreport.com/reports/global-gigabit-ethernet-camera-market-2016-2020/ Key vendors - Teledyne DALSA - Allied Vision - JAI - Point Grey Research Other prominent vendors - Adimec Electronic Imaging - Alrad Instruments - Basler - Baumer Optronic - Bytronic Automation - IMPERX - GEViCAM - MATRIX VISION - Matrox Electronic Systems - Multipix Imaging - Qualitas Technologies - PixeLINK - Sony - Toshiba Teli Market driver - Technological advantages of GigE cameras - For a full, detailed list, view our report Market challenge - High CPU load - For a full, detailed list, view our report Market trend - Rising penetration of GPUs - For a full, detailed list, view our report Key questions answered in this report - What will the market size be in 2020 and what will the growth rate be? - What are the key market trends? - What is driving this market? - What are the challenges to market growth? - Who are the key vendors in this market space? - What are the market opportunities and threats faced by the key vendors? - What are the strengths and weaknesses of the key vendors? To receive personalized assistance, write to us @ [email protected] with the report title in the subject line along with your questions or call us at +1 866-764-2150


WiseGuyReports.Com Publish a New Market Research Report On – “Gigabit Ethernet Camera Market 2016 Global Production Technology and Development Trend Research Report to 2020”. The analysts forecast the global gigabit Ethernet (GigE) camera market to grow at a CAGR of 11% during the period 2016-2020. GigE is one of the fastest-growing interfaces that are being used for digital cameras. The application of these cameras ranges from military and defense to commercial in the field of image processing. GigE is a universally accepted digital interface, with rapidly increasing penetration. GigE cameras have the potential of replacing analog device applications in almost any application. For more information or any query mail at [email protected] Covered in this report  The report covers the present scenario and the growth prospects of the global gigabit Ethernet (GigE) camera market for 2016-2020. To calculate the market size, the report considers the revenue generated through the sales of GigE cameras. The market is divided into the following segments based on geography:  • Americas  • APAC  • EMEA The report, Global Gigabit Ethernet (GigE) Camera Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market. Other prominent vendors  • Adimec Electronic Imaging  • Alrad Instruments  • Basler  • Baumer Optronic  • Bytronic Automation  • IMPERX  • GEViCAM  • MATRIX VISION  • Matrox Electronic Systems  • Multipix Imaging  • Qualitas Technologies  • PixeLINK  • Sony  • Toshiba Teli  Market driver  • Technological advantages of GigE cameras  • For a full, detailed list, view our report Market trend  • Rising penetration of GPUs  • For a full, detailed list, view our report Key questions answered in this report  • What will the market size be in 2020 and what will the growth rate be?  • What are the key market trends?  • What is driving this market?  • What are the challenges to market growth?  • Who are the key vendors in this market space?  • What are the market opportunities and threats faced by the key vendors?  • What are the strengths and weaknesses of the key vendors? PART 05: Market landscape  • Market overview  • Market size and forecast by revenue  • Market size and forecast by shipment PART 07: Market segmentation by image sensor  • Global GigE camera market by image sensor  • CMOS sensors  • CCD sensors  • Segment comparison of global GigE camera market by image sensor PART 08: Market segmentation by application  • Global GigE camera market by application  • Military and defense  • Industrial  • Commercial  • Segment comparison of global GigE camera market by application PART 09: Market segmentation by type  • Global GigE camera market by type  • Monochrome cameras  • Color cameras  • Segment comparison of global GigE camera market by type For more information or any query mail at [email protected] Wise Guy Reports is part of the Wise Guy Consultants Pvt. Ltd. and offers premium progressive statistical surveying, market research reports, analysis & forecast data for industries and governments around the globe. Wise Guy Reports features an exhaustive list of market research reports from hundreds of publishers worldwide. We boast a database spanning virtually every market category and an even more comprehensive collection of market research reports under these categories and sub-categories.


Yin T.,University of Gottingen | Bapst B.,Qualitas AG | Borstel U.U.V.,University of Gottingen | Simianer H.,University of Gottingen | Konig S.,University of Kassel
Livestock Science | Year: 2012

Organic and low input farming differ substantially from conventional farming, suggesting the need for separate breeding programs. This requires knowledge of (co)variance components of important traits in low input or organic production systems. Test-day data for production and data for reproduction traits from 1283 Brown Swiss cows kept in 54 small, low input farms across Switzerland were available. Production traits milk yield (MY), fat percentage (Fat%), protein percentage (Pro%), lactose percentage (Lac%), somatic cell score (SCS), and milk urea nitrogen (MUN), were analyzed with a multi-trait random regression animal model with days in milk (DIM) as a time covariate. Female fertility traits of number of inseminations (NI), stillbirth (SB), calving ease (CE), calving to first service (CTFS), days open (DO), and gestation length (GL) were analyzed with parity as a time covariate, with threshold methodology applied for the first three traits. A threshold-linear sire model was applied to estimate daily correlations between MY, Fat%, Pro%, SCS, MUN and the binary distributed fertility trait conception rate (CR). In general, daily heritabilities for production traits followed the pattern as found for high input production systems. Expected genetic antagonisms were found between MY and Pro%, and between MY and Fat% for all DIM. An antagonistic relationship between MY and SCS was only found directly after calving in parity 1. In parities 2 to 7, heritabilities for an interval trait describing the cows' ability to recover after calving, e.g. CTFS, were lower than estimates for traits associated with a successful insemination, e.g. NI and DO. Pronounced antagonistic relationships between MY and CR were in the range of -0.40 to -0.80 from DIM 20 to DIM 200. In this study, we showed the variety and flexibility of random regression methodology which can be applied to data from small herds, and for a limited number of repeated measurements of a categorical trait per cow. Estimated genetic parameters for reproduction traits were partly different from those estimated in high input production systems. In particular, these differences underline the necessity to implement an own organic breeding program using estimates from the current study which are based on data obtained only from cows in organic or low input herds. © 2012 Elsevier B.V..


Erbe M.,University of Gottingen | Gredler B.,Qualitas AG | Seefried F.R.,Qualitas AG | Bapst B.,Qualitas AG | Simianer H.,University of Gottingen
PLoS ONE | Year: 2013

Prediction of genomic breeding values is of major practical relevance in dairy cattle breeding. Deterministic equations have been suggested to predict the accuracy of genomic breeding values in a given design which are based on training set size, reliability of phenotypes, and the number of independent chromosome segments (Me). The aim of our study was to find a general deterministic equation for the average accuracy of genomic breeding values that also accounts for marker density and can be fitted empirically. Two data sets of 59698 Holstein Friesian bulls genotyped with 50 K SNPs and 19332 Brown Swiss bulls genotyped with 50 K SNPs and imputed to, 600 K SNPs were available. Different k-fold (k= 2-10, 15, 20) crossvalidation scenarios (50 replicates, random assignment) were performed using a genomic BLUP approach. A maximum likelihood approach was used to estimate the parameters of different prediction equations. The highest likelihood was obtained when using a modified form of the deterministic equation of Daetwyler et al. (2010), augmented by a weighting factor (w) based on the assumption that the maximum achievable accuracy is w <1. The proportion of genetic variance captured by the complete SNP sets (w2) was 0.76 to 0.82 for Holstein Friesian and 0.72 to 0.75 for Brown Swiss. When modifying the number of SNPs, w was found to be proportional to the log of the marker density up to a limit which is population and trait specific and was found to be reached with, 209000 SNPs in the Brown Swiss population studied. © 2013 Erbe et al.

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