1) MLN is a devastating viral disease affecting maize in Eastern Africa caused by the combined infection of Maize Chlorotic Mottle Virus and potyviruses like Sugarcane Mosaic Virus.
2) CIMMYT and partners have established MLN screening and quarantine facilities in Kenya and Zimbabwe to breed resistant varieties, produce pathogen-free seed, and prevent the spread of MLN.
3) Efforts are underway to tackle MLN through disease resistance breeding, safe seed systems, surveillance, capacity building, and developing an MLN information portal.
Phytosanitary and Regulatory Perspective on MLND in KenyaCIMMYT
Phytosanitary and Regulatory Perspective on MLND in Kenya, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
The Role of the Private Sector in Strengthening MLN Diagnostics Capacity in A...CIMMYT
The Role of the private sector in strengthening MLN diagnostics capacity in Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Incidence and Impact of Maize Lethal Necrosis Disease in TanzaniaCIMMYT
Incidence and Impact of Maize Lethal Necrosis Disease in Tanzania, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Incidence and Impacts of Maize Lethal Necrosis Disease in EthiopiaCIMMYT
Incidence and impacts of MLN in Ethiopia, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Phytosanitary and Regulatory Perspective on MLND in KenyaCIMMYT
Phytosanitary and Regulatory Perspective on MLND in Kenya, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
The Role of the Private Sector in Strengthening MLN Diagnostics Capacity in A...CIMMYT
The Role of the private sector in strengthening MLN diagnostics capacity in Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Incidence and Impact of Maize Lethal Necrosis Disease in TanzaniaCIMMYT
Incidence and Impact of Maize Lethal Necrosis Disease in Tanzania, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Incidence and Impacts of Maize Lethal Necrosis Disease in EthiopiaCIMMYT
Incidence and impacts of MLN in Ethiopia, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Workshop on MLN Diagnostics and Managment in AfricaCIMMYT
Current Phytosanitary Policies to Control the incidence and spread of MLN in Nigeria and Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
ICRISAT Research Program West and Central Africa 2016 Highlights-Development ...ICRISAT
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MLN Incidence and Impact in Uganda, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Management of SPVD: A model for production, multiplication and delivery of cl...ILRI
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Pre-emptive control measures against MLN spread into West & Central AfricaCIMMYT
Pre-emptive control measures against MLN spread into West & Central Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Management of aflatoxin contamination in groundnut – ICRISAT ApproachFrancois Stepman
H Desmae
ICRISAT-WCA, Bamako, Mali
January, 2016
Roundtable of aflatoxin experts on
“Building a multi-stakeholder approach to mitigate aflatoxin contamination of food and feed”
Brussels, Monday 25th January 2016
Banana bunchy top disease,Banana bacterial wilt,Total area of banana and plantain in BBTV & BXW-affected countries in Africa,Alliance to combat common threats
Workshop on MLN Diagnostics and Managment in AfricaCIMMYT
Current Phytosanitary Policies to Control the incidence and spread of MLN in Nigeria and Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
ICRISAT Research Program West and Central Africa 2016 Highlights-Development ...ICRISAT
Groundnut’s major contribution to rural cash earnings in Mali and Nigeria is being cemented by efficient science delivery and enhanced genetic gains. Its importance made it a priority crop for ICRISAT’s crop improvement program that works with partners to scale up the transfer of improved groundnut production technologies, including improved varieties. These efforts also span technology demonstrations, capacity building and strengthening groundnut seed systems.
MLN Incidence and Impact in Uganda, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Management of SPVD: A model for production, multiplication and delivery of cl...ILRI
Presented by Settumba Mukasa and Samuel Kyamanywa (Makerere University) at the First Bio-Innovate Regional Scientific Conference, Addis Ababa, Ethiopia, 25-27 February 2013
Pre-emptive control measures against MLN spread into West & Central AfricaCIMMYT
Pre-emptive control measures against MLN spread into West & Central Africa, presented at the International Conference on “MLN Diagnostics and Management in Africa,” organized by AGRA (Alliance for Green Revolution in Africa) and CIMMYT, 12-14 May, 2015
Management of aflatoxin contamination in groundnut – ICRISAT ApproachFrancois Stepman
H Desmae
ICRISAT-WCA, Bamako, Mali
January, 2016
Roundtable of aflatoxin experts on
“Building a multi-stakeholder approach to mitigate aflatoxin contamination of food and feed”
Brussels, Monday 25th January 2016
Banana bunchy top disease,Banana bacterial wilt,Total area of banana and plantain in BBTV & BXW-affected countries in Africa,Alliance to combat common threats
MLN status, Disease diagnosis and Management Kitale, Kenya 23rd June 2022.pptxSuresh, L.M
MLN diagnosis and disease management training is given to NPPO's across in ESA to help them for understanding MLN disease. This also helps them for disease diagnosis and produce disease free seeds and manage the disease. Thus it helps for good food security. Recently the training wasprovided. This shall help a large audians
Role of agricultural biotechnologies in addressing food and nutrition security challenges in Africa: Perspectives from the Agricultural Research Council, South Africa
Each “growing degree day” spent at a temperature above 30°C decreases yields by 1 percent under optimal (drought-free) rainfed conditions.Southern Africa faces the risk of more severe and protracted droughts and periods of extremely low and extremely high rainfall could become more common as temperatures increase from 2-4°C
Masiga - Enhanced Utilization of Biotechnology Research and Development Innov...CIALCA
Presentation delivered at the CIALCA international conference 'Challenges and Opportunities to the agricultural intensification of the humid highland systems of sub-Saharan Africa'. Kigali, Rwanda, October 24-27 2011.
The Brussels Development Briefing n.45 on the subject of “Smart and Affordable farming solutions for Africa: the next driver for agricultural transformation” was held in Brussels at 09:00-13:00 on 13th July 2016 at the Albert Borschette Congress Center, Room 1.A (Rue Froissart 36, 1040 Brussels). This Briefing was organised by the ACP-EU Technical Centre for Agricultural and Rural Cooperation (CTA), in collaboration with the European Commission, the the European Commission / DEVCO, the ACP Secretariat, CONCORD, CEMA, Agricord and the PanAfrican Farmer’s Organisation (PAFO)
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
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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.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
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Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
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.
Knowledge engineering: from people to machines and back
Tackling maize lethal necrosis (mln), a complex disease in eastern africa dr. suresh,l.m korea ipve final
1. Suresh L.M., Yoseph Beyene, Manje Gowda, Michael
Olsen, MacDonald Jumbo, Dan Makumbi, Mosisa Worku,
Stephen Mugo, Francis Mwatuni, and B.M. Prasanna
Contact : l.m.suresh@cigar.org
Tackling Maize Lethal Necrosis (MLN), a complex
disease in Eastern Africa
Global Maize Program
14th International Plant Virus Epidemiology Symposium (IPVE)
May 13 to May 17, 2019, Seoul, Korea
2. Outline:-
• MLN disease
• Tackling the MLN challenge
• Disease resistance breeding program
• Safe seed movement with effective quarantine measures
• MLN diagnosis and surveillance
• Capacity Building to Partners on disease diagnosis and
surveillance
• MLN pathogen-free commercial seed production and
exchange
• MLN Information Portal
• Community of practice
3. MLN is a viral disease caused by
combined infection of maize with
Maize Chlorotic Mottle Virus
(MCMV) and any of the
Potyviruses infecting cereals,
especially Sugarcane Mosaic
Virus (SCMV)
The disease was first reported
in Africa, particularly in Kenya
in Sept 2011, and since then
reported in Uganda, Tanzania,
Rwanda, D.R. Congo, and
Ethiopia.
4. Disease Symptoms
• Dying leaves, leading to premature plant death
• Failure to tassel and sterility in male plants
• Malformed or no ears
• Rotting cob
5. MCMVMCMV
Potyvirus
SCMV
MDMV
WSMV
MLNMLN
• Individual infection with mixture of viruses can also cause disease
• Typically, infection with one virus results in milder symptoms than MLN but
reaction depends on germplasm and viral strain.
Maize Lethal NecrosisMaize Lethal Necrosis
7. Why is the MLN devastating in EA?
• MCMV is new to the region
• Potentially new strains of SCMV/MDMV
• Conducive environment – continuous maize cropping
in certain areas leading to continuous build-up of virus
inoculum
• Seed contamination by MLN-causing viruses,
especially MCMV, besides local spread through insect
vectors
• Widespread cultivation of susceptible germplasm that
has never been screened for MCMV
• A very large proportion of commercial maize
varieties in eastern Africa as well as other regions in
sub-Saharan Africa are highly vulnerable to MLN.
8. Symptoms of the disease
• Symptoms observed vary widely depending on;
-Germplasm
-Time of infection
-Prevailing environmental conditions
-Ratios of the viruses infecting the plant
• The symptoms can easily be confused with drought ,
micro- nutrient deficiency or stalk borer infestation
11. Key Phytosanitation steps in MLN Screening facility
Objective : Deliver and implement phytosanitation guidelines that are specific to the Naivasha
Maize MLN Research Site to ensure the desired level of insect and pathogen control that is
essential for successful research.
• Training
• Avoid
movements
with maize
field
• Restricted
movements.
• No food and
drink, tobacco
• Use PPE’s
• Only receive
maize seeds
• Stop moving
out all plant
and plant
materials
from site.
• After
screening -
incinerate
• Wash and
Disinfect the
tools and
implements.
• Restricted
use.
• Use them
only in site.
• Restricted
Access
• Wash and
disinfect
• Safe and clean
water use
• Drain the used
water in soak
pit
• Use safe
insecticides
and chemicals
12. MLN Phenotyping facility – Center of Excellence
Inoculation Protocol
Facilities
Process
Phytosanitation
13. 183,329 germplasm entries (>269,000 rows) screened against MLN under
artificial inoculation at the Naivasha facility since 2014.
Of these, 60% from CIMMYT, 18% from NARS, and 22% from the private sector.
Phenotyping evaluation is done each season with at Heritability 0.79 to 0.95
CIMMYT have released 19 MLN tolerant / resistant hybrids to partners in EA
MLN Phenotyping Service
2014-till date
Year
CIMMYT NARS
Private
Seed companies
Total
Entries Rows Entries Rows Entries Rows Entries Rows
2014 25715 52854 5133 10627 10421 17102 41269 80583
2015 7022 10284 3372 5077 3263 4038 13657 19399
2016 23789 33537 10913 12791 10217 12739 44919 59067
2017 16174 24066 4580 5867 4162 6878 24916 36811
2018 29816 31954 8548 8165 8332 8735 46696 48854
2019 untill date 9082 18973 812 2516 1978 3422 11872 24911
Total 111598 171668 33358 45043 38373 52914 183329 269625
14. Accelerated Breeding for MLN Resistance
KALRO-CIMMYT MLN Screening Facility at Naivasha (Kenya)
1st
Report
Tolerant
F1
Hot spot
Identificati
on / Res.
Source
Identificati
on
Screening
facility
upgradatio
n /
Improved
protocol
2nd
Generation
F1
QTL
identific
ation
MABC
Gene
Editing
CML442 -/- CML442 +/+
7-8 tons/ha,2 (1-9 scale)
15. MLN Phenotyping – Public and Private partnership
South AfricaEthiopiaKenya Malawi MozambiqueTanzania Uganda Zambia ZimbabweRwanda South Sudan
17. Demonstration plots of tolerant hybrids and susceptible check under
natural MLN infestation in Tanzania and Artificial inoculation in Kenya
Natural Hot Spot – Site
Babati, Tanzania
Artificial Inoculated – Site,
Naivasha, Kenya
Commercial checkCommercial check
18. Breeding progress for MLN tolerance from 2014-2018
Year
# lines
evaluated
2014 2876
2016 1522
2018 909
Total 5307
19. Performance of MLN tolerant hybrids under natural
MLN
Babati (Tanzanian) Wondogent (Ethiopia)
Kiboko (Kenya)-OptimumYield at Babati (Tanzanian)
20. Results of Yield loss study due to MLN
GY (t/ha) EPP MLN3(1-5)
Heritability 0.8 0.5 0.93
n Replicates 3.0 3.0 3.00
n Locations 2.0 2.0 2.00
GY (t/ha) EA (1-5)
Heritability 0.69 0.59
n Replicates 3 3
Yield
(t/ha)without
MLN
Yield (t/ha)
under MLN
Yield loss duet to MLN
(%)
Commercial hybrids 3.0 0.7 77.7
1st
generation MLN tolerant hybrids 4.4 3.4 22.9
2nd
generation MLN tolerant hybrids 4.7 4.6 3.1
21. CKMLN150084
(2nd
generation MLN-tolerant hybrid)
CKMLN146069
(1st generation MLN-
tolerant hybrid)
MLN-susceptible
commercial check
S.N
o.
CIMMYT-
derived
MLN-
tolerant
Hybrid
Year
of
Relea
se
Countr
y
Status
1 H12ML 2013 Kenya
Certified seed to be produced and
commercialized by KSC in 2017
2 H13ML 2014 Kenya Being commercialized by KSC.
3 Meru HB607 2014 Tanzania
Certified seed expected to be produced by
Meru Agro in 2017
4
Bazooka
UH5354 2014 Uganda Being commercialized by NASECO
5 WE5135 2016 Kenya Recommended for release through KALRO
6 WE5140 2016 Kenya Recommended for release through KALRO
7 WE6109 2016 Kenya Recommended for release through KALRO
8 WE6110 2016 Kenya Recommended for release through KALRO
9 KATEH16-01 2017 Kenya Recommended for release through KALRO
10 KATEH16-02 2017 Kenya Recommended for release through KALRO
11 KATEH16-03 2017 Kenya Recommended for release through KALRO
12 WE7117 2018 Kenya Recommended for release through KALRO
13 WE7119 2018 Kenya Recommended for release through KALRO
14 WE7118 2018 Kenya Recommended for release through KALRO
15
CKMLN1500
74 2019 Kenya
Recommended for release through Seed
Co. Ltd
16 WE5135 2019 Tanzania
Recommended for release through
COSTEC
17 WE7118 2019 Tanzania
Recommended for release through
COSTEC
18 WE5141 2019 Tanzania
Recommended for release through
COSTEC
19 WE7133 2019 Tanzania
Recommended for release through
COSTEC
MLN tolerant / resistant Hybrids released in Eastern Africa
22. qMLN_KS23qMLN_KS23
• Large effect resistance QTL validated in
multiple populations
• 30 elite lines converted with large effect
QTL
• QTL mapped to ~80kb interval with two
gene models. Gene editing collaboration
with Corteva Agriscience
CML442 CML442LNT
CML569 CML569LNT
Improved disease resistance – MABC approach
24. • Validation B73, PHH5G, PHR03, KS23-5,
KS23-6
• Verify 3 mid maturity Inbreds are susceptible to MLN and KS-23-5 and KS-23-
6 are resistant
Support to Gene editing project
25. MLN Quarantine Facility at Mazowe, Harare
Established with
support from
USAID, DR&SS-
Zimbabwe, and
CRP MAIZE.
Enables CIMMYT
maize germplasm
flow from eastern
Africa to southern
Africa after
evaluation under
quarantine
conditions
26. MLN Quarantine and Screening facilities in SSA
MLN Quarantine facility
Harare, Zimbabwe
• Surveillance and diagnosis for MLN
• Seed production, selfing and Crossing.
• Destroy the maize crop in the farm and 50 KM
vicinity, if found MCMV positive.
• Distribute Maize germplasm, after confirming
negative to MCMV
MLN Screening and Quarantine facility
Naivasha, Kenya
• Germplasm Screening for MLN, MCMV & SCMV
• No seed production, selfing and Crossing.
• No return of seeds after screening, only provide
the data.
27. Safe seed movement with effective quarantine measures
Year
Field
inspection
Seed testing
Seed
Shipment
entries from
Kenya lots
Samples tested
for causing
MLN tested
Lines planted and
released from
facility
Incidence of
MLN in pre-
released seed
2016 854 906 3249
Established Quarantine facility in Mazoe, Harare, 2016
2017 503 1481 1338
>35000 >6800 0
2018 649 995 8415
Current MLN Status
As on Dec 2018
Progress made in Kenya Progress made in Zimbawe
Tanya
28. 1. Conducting MLN survey and completed
disease surveillance.
2. Supported private seed companies and
partners for SOP’s to produce MLN free
seeds.
3. Timely updating on the progress made in
disease survey, breeding, training and new
research update in MLN web portal.
4. Established strong MLN COP’s
(Community of Practice)
MLN positive
MLN negative
MLN diagnosis and surveillance project
MLN Survey Main steps in MLN survey
Need to keep continuous vigil!
mln.cimmyt.org
29. • Regular training to all NPPO’s, private company staff and NARS staff on
carrying out MLN survey.
• Regular technical back stopping for all the partners for successful survey.
Capacity Building to Partners
Country NPPOs Seed companies Research institutions Growers
2016 2017 2018 2016 2017 2018 2016 2017 2018 2016 2017 2018
Kenya 12 28 35 22 68 25 12 25 12 68 260 230
Uganda 8 15 22 12 35 25 5 12 5 45 150 158
Tanzania 8 18 28 15 32 68 4 8 6 33 60 320
Ethiopia 8 12 18 18 61 18 5 18 12 28 93 335
Rwanda 2 14 55 12 21 13 7 13 28 23 125 138
Malawi 12 8 2 3 16 4 5 4 4 14 21 35
Zambia 18 18 3 4 25 5 4 6 12 18 28 45
Zimbabwe 13 12 8 4 32 6 4 8 8 22 32 32
TOTAL 81 125 171 90 290 164 46 94 87 251 769 1293
ODK App practical use - Naivasha Sampling demonstration Seed testing training at Harare
30. Training on MLN Surveillance and testing
Sampling
demonstration -
ODK App
practical use -
Naivasha
Testing using
Immunostrips
MLN Symptom
Identification
31. Management Strategies of Viral Diseases
Avoidance:
•Avoid continuous planting.
•Timely planting so that plants are at a less susceptible in early growth stages when the virus and the vectors is
present.
Avoidance:
•Avoid continuous planting.
•Timely planting so that plants are at a less susceptible in early growth stages when the virus and the vectors is
present.
Exclusion
•Impose quarantine (local and international)
•Use virus free seeds.
Exclusion
•Impose quarantine (local and international)
•Use virus free seeds.
Eradication:
Use herbicides to kill the weed hosts.
Rogue infected plants.
Use insecticides to kill vectors
Eradication:
Use herbicides to kill the weed hosts.
Rogue infected plants.
Use insecticides to kill vectors
Protection
Plant barrier crops.
Plant MLN resistant or tolerant maize cultivars.
Protection
Plant barrier crops.
Plant MLN resistant or tolerant maize cultivars.
32. Intensive efforts are being made to prevent spread of
MLN, especially MCMV, through contaminated seed
from the MLN-endemic to non-endemic areas in Africa
Several seed companies now implementing voluntary
MCMV control programs and SOPs to minimize the risk
of seed transmission
Key staff of both public and private sector institutions
trained on MLN diagnostics and management
Ensuring MLN pathogen-free commercial seed
production and exchange
33. Producing MLN free seeds using Harmonized Checklists
• Harmonized checklists for MLN-free commercial seed production have been
finalized for Kenya, Tanzania, Ethiopia and Uganda-Rwanda
37. Summary
• MLN disease in eastern Africa is in control, with
constant survilense, better quarantine measures,
host free period, producing MLN disease free seeds
• Southern Africa is maintained free of MLN with safe
exchange of MLN free seeds and emergency
preparedness is ready
• Focus on MLN resistance breeding using various
novel tools, technologies and deployment of MLN
resistance hybrids in eastern Africa.
• Strong private and public partnership on producing
MLN free seeds and MLN disease management
38. Thanks to…
USAID, Bill & Melinda Gates Foundation, SFSA and CRP
MAIZE, for supporting the work on MLN
KALRO, NARES and Private sector partners
CIMMYT-Africa Team involved in the USAID-MLN Project