1) North Dakota is a major producer of durum wheat, hard red spring wheat, and barley in the United States. Winter wheat is also grown to a lesser extent.
2) Wheat streak mosaic virus (WSMV), spread by the wheat curl mite, has historically impacted wheat yields in North Dakota. Depending on the year, the effects can be severe.
3) The study found that WSMV was detected in 53.3% of wheat samples, with winter wheat most infected at 58.5%, followed by spring wheat at 50.9% and durum wheat at 43.8%. Barley had the lowest infection rate at 9.1%.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
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1. Introduction Divide Burke Renville
9/10
Bottineau
4/13
Rolette
1/2
Towner Cavalier
4/12
Pembina
1/3
Results
North Dakota (ND) is the largest producer of durum wheat, hard red spring Williams
1/1 Pierce
Walsh WSMV was the most common virus, detected in 53.3% of all
wheat, and barley in the United States. To a lesser extent, winter wheat is grown Mountraill
Ward
36/43 McHenry 0/3 Ramsey
1/1
samples. Winter wheat had the highest infection by WSMV, with
2/2 Benson 2/4
in ND, with acres fluctuating between 200,000 and 600,000 in the past six years. 2/7 7/7
Nelson Grand Forks
1/4 58.5% of the submitted samples infected, followed by spring
Wheat streak mosaic virus (WSVM), a virus vectored by the wheat curl mite McKenzie 4/6
(Aceria tosichella), has historically impacted yield in ND, and depending on the
2/2 McLean
2/6
Sheridan Wells
Eddy
1/1 wheat (50.9%), durum wheat (43.8%), and barley (9.1%).
5/7 Foster Traill
Dunn 1/4 Griggs Steele 0/2
year, the effect can be severe. For example, wheat streak caused an estimated Billings
4/5 Mercer 2/2
4/8 1/1
WMoV and BYDV-PAV were detected in 12.1% and 10.9% of the
1/1 Oliver
$40-million loss in 1988 (5), and yield losses of up to 100% have been observed Golden
2/2 Burleigh Kidder Stutsman Barnes Cass samples, respectively, between 2008 and 2011. Although CYDV-
Morton 4/9 0/3 0/3 1/3 2/20
in severely infected fields (3). Yellow dwarf viruses such as Barley yellow dwarf Valley
2/8
Stark
13/29 3/7
RPV was detected in 3 of 13 samples in preliminary virus
virus strain PAV (BYDV-PAV) and Cereal yellow dwarf virus strain RPV (CYDV-RPV) Slope
0/1
Hettinger Logan
9/10
LaMoure
0/1
Ransom
10/12 screening in 2007 (Table 1), it was not detected in the 2008-2011
(formerly classified as a strain of Barley yellow dwarf virus) are also important 6/9 Grant Emmons Richland
0/4
viruses in ND that can impact both yield and grain quality (2). Two relatively
Bowman
5/12
Adams
4/7
Sioux
6/10
McIntosh
4/6
Dickey
1/4
Sargent
0/2
survey. No viruses were detected in 37.4% of samples among
1/1
newly described viruses, Wheat mosaic virus (WMoV), formerly known as High years.
plains virus (HPV), and Triticum mosaic virus (TriMV) have recently been
Divide Burke Bottineau Rolette Cavalier Pembina
Co-infection with two viruses occurred in 11.8% of samples
detected in the region (6, 7). TriMV has not been confirmed in ND despite efforts Renville
2/10 0/13 0/2
Towner
0/12 1/3
among years. Co-infection with WSMV and WMoV was most
to detect it as part of a wheat virus survey sponsored by the Great Plains Williams
Diagnostic Network (GPDN) in 2008 (1) and subsequent years. WMoV has been
0/1
Ward
Pierce
Walsh
0/1
common followed by WSMV and BYDV-PAV, with 10.9% and 1.9%
McHenry 0/3 Ramsey
detected in ND every year since 2007. Yield losses due to virus infection have
Mountraill
0/7
11/43
0/2 Benson
1/7
0/4 of samples infected, respectively. Infection by all three viruses
Nelson Grand Forks
been estimated between 5 and 10% in the nine-state region of the GPDN, and as McKenzie
2/2 McLean Eddy
2/6 0/4 detected in the survey was rare (0.94%). WMoV usually occurred
a result, viruses of small grains continue to be identified as important pathogens Dunn
0/6
Sheridan
0/4
Wells
0/7
1/1
Foster
Griggs Steele
Traill in conjunction with WSMV; it occurred alone in only 1.2% of
0/2
(1). Billings
1/5 Mercer 0/2
1/8 0/1
samples among years (two samples in 2009 and two samples in
0/1 Oliver
The purpose of this survey was to identify the prevalence and distribution of Golden
1/2 Burleigh
1/9
Kidder
0/3
Stutsman
0/3
Barnes Cass
0/20
2011).
0/3
Valley Stark Morton
four small grain viruses in ND: WSMV, WMoV, BYDV-PAV, and CYDV-RPV. With 0/8 5/29 1/7
the seeming increase in prevalence of virus symptoms in ND in recent years, a Slope LaMoure Ransom
WSMV was detected in 40 counties, WMoV in 21 counties, and
Hettinger Logan
second objective was to use the survey information as a platform to
0/1
1/9 Grant Emmons
1/10
0/10 1/1 1/12
Richland
0/4
BYDV in 14 counties (Figure 1). In general, virus incidence was
Bowman Dickey Sargent
communicate management strategies to growers. 1/12
Adams
1/7
Sioux
0/1
McIntosh
1/6 1/4 0/2 distributed throughout the state, a pattern that corresponds to
production locations of barley and spring, winter, and durum
Table 1. Viruses detected in small grain samples, 2007 through 2011. Divide Burke Bottineau Rolette Cavalier Pembina
wheats (NASS, USDA).
Renville Towner
0/13 0/2 4/12 0/3
0/10
Number of When years were examined individually, detection of WSMV in
Williams
Year* samples % WSMV % WMoV % BYDV-PAV % CYDV-RPV Walsh
2007 13 53.8 30.8 30.8 23.1
0/1
Ward
2/43 McHenry
Pierce
0/3 Ramsey
0/1 submitted samples was highest in 2010, with 61.7% of samples
Mountraill 0/4
2008 33 36.4 6.1 3.0 0.0
0/7
0/2 Benson
1/7
Nelson Grand Forks
testing positive (Table 1). In this same year, according to NDSU’s
1/6 0/4
2009 78 51.3 12.8 7.7 0.0
McKenzie
0/2 McLean Eddy
0/1
Integrated Pest Management survey of wheat diseases, the
2/6 Wells
2010 120 61.7 14.2 9.2 0.0 Dunn
Mercer
Sheridan
0/4 0/7 Foster
0/2
Griggs Steele
Traill
0/2 number of WSMV-positive fields based on symptoms was also
0/5 0/8 0/1
2011 90 50.0 11.1 18.9 0.0 Billings
0/1 Oliver highest at 13% (4). Yield losses due to WSMV infection were
0/2 Burleigh Kidder Stutsman Cass
*Samples submitted in 2007 were routine diagnosis samples only and not solicited as part of a
Golden
Valley Stark Morton
0/7
0/9 0/3 0/3
Barnes
0/3 4/20 reportedly extensive in 2010 in parts of the state, and the higher
0/8 6/29
survey. They are included here only as a reference point. For years 2008 through 2011, samples
Slope Logan LaMoure Ransom
infection rates were attributed to several factors, including wet
included both those submitted for routine diagnosis and those submitted as part of the virus 1/1
Hettinger
3/9 Grant Emmons
3/10 0/1 10/12
Richland
fall conditions in 2009 followed by high snowfall that protected
0/4
survey. Bowman Adams
0/10
McIntosh Dickey Sargent
2/12 3/7
Sioux
0/1 0/6 1/4 2/2
infected volunteers and the vector.
Methods Figure 1. North Dakota counties where
BYDV was detected most frequently in 2011. Early arrival of
viruliferous aphids and late planting in 2011 compared to
Between 2008 and 2011, 321 small grain samples were submitted to the NDSU Plant previous years of the survey led to predictions that incidence of
viruses were confirmed, 2008-2011.
Diagnostic Lab for virus screening. Samples were received from nearly all counties (48 of 53 BYDV would be higher, and survey results supported this
counties) and were routinely screened for WSMV, BYDV-PAV, WMoV, and CYDV-RPV using Top, WSMV; Middle, WMoV; Bottom, BYDV-
prediction.
standard double-antibody sandwich enzyme-linked immunosorbent assay kits (Agida PAV. CYDV-RPV was not detected during
Diagnostics, Elkhart IN) and processed per the manufacturer’s instructions. Samples this period. No samples were received from Differences in yield response to virus infection among older
included those collected during field surveys conducted by NDSU crop scouts, those solicited cultivars of hard red spring wheat, durum wheat, and barley have
by extension area specialists and extension agents, and those submitted by growers and counties in grey. Number of positives/total
crop advisors for routine diagnosis. Once received, samples were refrigerated until number of samples received for virus been documented in ND (2, 3, 8), but yield response of newer
processed, usually within 1-5 days. Small grain samples included hard red spring wheat, screening is shown for each county. varieties is not known. Thus, for the mite-vectored viruses WSMV
winter wheat, durum wheat, and barley. Samples generally exhibited chlorotic streaking, and WMoV, current management recommendations in the state
stunting, or general chlorosis, but asymptomatic samples were occasionally screened.
emphasize breaking the ‘green bridge’ and implementing proper
References planting date. Management recommendations for the aphid-
vectored yellow dwarf viruses include proper planting time and
1.
2.
3.
Burrows, M., et al. 2009. Occurrence of viruses in wheat in the Great Plains region, 2008. Plant Health Progress doi:10.1094/PHP-2009-0706-01-RS.
Edwards, M.C., et al. 2001. Effect of Barley yellow dwarf virus infection on yield and malting quality of barley. Plant Disease 85:202-207.
Jons, V.L., et al. 1981. Effect of wheat streak mosaic virus on twelve hard red spring wheat cultivars. ND Farm Research. ND Ag Exp Station, Fargo
Acknowledgements aphid control. Efforts by extension specialists and extension
4.
ND. 39(2):17-18.
McMullen, M., et al. 2011. Fluctuations in wheat diseases in North Dakota, 2004–2010. Phytopathology 101:S2.6
We thank Montgomary Botschner and Aimee Thapa for technical support agents to educate growers on these management strategies have
5. McMullen, M.P. and Nelson, D.R. 1989. Wheat streak mosaic severe in 1988. ND Farm Research. ND Ag Exp. Station, Fargo, ND. p. 14-16. for the years extending this survey, and thanks to the growers and other increased over the past six years, and such efforts are critical to
6. Seifers, D.L., et al. 2008. Triticum mosaic virus: A new virus isolated from wheat in Kansas. Plant Dis. 92:808-817.
7. Skare, J.M. et al. 2006. A new eriophyid mite-borne membrane-enveloped virus-like complex isolated from plants. Virology 347:343-353. agricultural professionals who helped provide samples. Partial funding for help mitigate yield losses due to virus infection in ND.
8. Timian, R.G., and Lamey, H.A. 1985. An update on wheat streak mosaic virus in North Dakota. ND Farm Research. ND Ag Exp. Station, Fargo, ND.
42(5):20,27,31. this survey was provided by the Great Plains Diagnostic Network.