I would like to share this presentation file.
Some basics information regarding to molecular plant breeding, hope this help the beginner who start working in this field.
Thanks for many original source of information (mainly from slideshare.net, IRRI, CIMMYT and any paper received from professor and some over the internet)
I would like to share this presentation file.
Some basics information regarding to molecular plant breeding, hope this help the beginner who start working in this field.
Thanks for many original source of information (mainly from slideshare.net, IRRI, CIMMYT and any paper received from professor and some over the internet)
Biotechnology for Crop Improvement.
Molecular Plant Breeding-Marker Assisted Breeding/Selection.
Comparison between three main and commonly discussed marker systems- RFLP, RAPD and AFLP.
Basic Understanding for Simple Sequence Repeats, SCAR and CAPS.
Strategies to overcome food shortages using molecular plant breeding approaches, Application of various molecular marker systems and examples.
Reference List.
Presenter: Brenda Chong
Molecular Breeding in Plants is an introduction to the fundamental techniques...UNIVERSITI MALAYSIA SABAH
This slide describe the process of molecular breeding in plants which involves the application of molecular markers for Marker Assisted Selection and Marker Assisted Breeding.
Marker assisted selection( mas) and its application in plant breedingHemantkumar Sonawane
Marker Types,Prerequisites for efficient marker-assisted breeding programmes,Advantages of MAS,Limitations of MAS ,Marker Assisted Breeding Schemes,• 1. Marker- assisted backcrossing,2. Marker- Assisted evaluation of breeding material,3 Gene pyramiding,4. Early generation selection ,Combined approaches,MAB: I level of Selection – FOREGROUND SELECTION,Second level of selection: Recombinant Selection,MAB: III Level of Selection BACKGROUND SELECTION,
Marker assisted whole genome selection in crop improvementSenthil Natesan
Mapping and tagging of agriculturally important genes have been greatly facilitated by an array of molecular markers in crop plants. Marker-assisted selection (MAS) is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). MAS has been more widely employed for simply inherited traits than for polygenic traits, although there are a few success stories in improving quantitative traits through MAS
Marker assisted selection or marker aided selection is an indirect selection process where a trait of interest is selected based on a marker linked to a trait of interest, rather than on the trait itself. This process has been extensively researched and proposed for plant and animal breeding.Marker-assisted breeding uses DNA markers associated with desirable traits to select a plant or animal for inclusion in a breeding program early in its development. ... This genetic test is helping breeders to select for hornless cattle, which makes it safer for the animals themselves and the people handling them.
QTL is a gene or the chromosomal region that affects a quantitative trait, which should be polymorphic (have allelic variation) to have an effect in a population, must be linked to a polymorphic marker allele to be detected. The QTL mapping consists of 4 steps, like the development of mapping population, generation of polymorphic marker data set among the parents, construction of linkage map, and finally the QTL analysis
All the above steps are described in these slides very briefly along with two case studies.
Presentation of Pedimap software for breeding during FruitBreedomics workshop at Wageningen - Rhenen, The Netherlands on June12, 2014
Author: Eric Van de Weg, WUR
Biotechnology for Crop Improvement.
Molecular Plant Breeding-Marker Assisted Breeding/Selection.
Comparison between three main and commonly discussed marker systems- RFLP, RAPD and AFLP.
Basic Understanding for Simple Sequence Repeats, SCAR and CAPS.
Strategies to overcome food shortages using molecular plant breeding approaches, Application of various molecular marker systems and examples.
Reference List.
Presenter: Brenda Chong
Molecular Breeding in Plants is an introduction to the fundamental techniques...UNIVERSITI MALAYSIA SABAH
This slide describe the process of molecular breeding in plants which involves the application of molecular markers for Marker Assisted Selection and Marker Assisted Breeding.
Marker assisted selection( mas) and its application in plant breedingHemantkumar Sonawane
Marker Types,Prerequisites for efficient marker-assisted breeding programmes,Advantages of MAS,Limitations of MAS ,Marker Assisted Breeding Schemes,• 1. Marker- assisted backcrossing,2. Marker- Assisted evaluation of breeding material,3 Gene pyramiding,4. Early generation selection ,Combined approaches,MAB: I level of Selection – FOREGROUND SELECTION,Second level of selection: Recombinant Selection,MAB: III Level of Selection BACKGROUND SELECTION,
Marker assisted whole genome selection in crop improvementSenthil Natesan
Mapping and tagging of agriculturally important genes have been greatly facilitated by an array of molecular markers in crop plants. Marker-assisted selection (MAS) is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). MAS has been more widely employed for simply inherited traits than for polygenic traits, although there are a few success stories in improving quantitative traits through MAS
Marker assisted selection or marker aided selection is an indirect selection process where a trait of interest is selected based on a marker linked to a trait of interest, rather than on the trait itself. This process has been extensively researched and proposed for plant and animal breeding.Marker-assisted breeding uses DNA markers associated with desirable traits to select a plant or animal for inclusion in a breeding program early in its development. ... This genetic test is helping breeders to select for hornless cattle, which makes it safer for the animals themselves and the people handling them.
QTL is a gene or the chromosomal region that affects a quantitative trait, which should be polymorphic (have allelic variation) to have an effect in a population, must be linked to a polymorphic marker allele to be detected. The QTL mapping consists of 4 steps, like the development of mapping population, generation of polymorphic marker data set among the parents, construction of linkage map, and finally the QTL analysis
All the above steps are described in these slides very briefly along with two case studies.
Presentation of Pedimap software for breeding during FruitBreedomics workshop at Wageningen - Rhenen, The Netherlands on June12, 2014
Author: Eric Van de Weg, WUR
Marker Assisted Selection in Crop BreedingPawan Chauhan
Marker Assisted Selection is a value addition to conventional methods of Crop Breeding. It has been gaining importance in plant breeding with new generation of plant breeders and to get accurate and fast desired result from plant breeding.
Role of molecular marker play a significant supplementary role in enhancing yield along with conventional plant breeding methods. the result obtain through molecular method are more accurate and at genotypic level. It had wider applications in field of plant breeding, biotechnology, physiology, pathology, entamology, etc. The mapping information obtained from these markers had created a revolution in the sequencing sector and open many pathways for developments, innovations and research.
Process whereby a marker is used for indirect selection of a genetic determinant or determinants of a trait of interest (i.e. productivity, disease resistance, abiotic stress tolerance, and/or quality).
Trait of interest is selected not based on the trait itself but on a marker linked to it.
The assumption is that linked allele associates with the gene and/or quantitative trait locus (QTL) of interest. MAS can be useful for traits that are difficult to measure, exhibit low heritability, and/or are expressed late in development.
Pre-Requisites: Two pre-requisites for marker assisted selection are: (i) a tight linkage between molecular marker and gene of interest, and (ii) high heritability of the gene of interest.
Markers Used: The most commonly used molecular markers include amplified fragment length polymorphisms (AFLP), restriction fragment length polymorphisms (RFLP), random amplified polymorphic DNA (RAPD), simple sequence repeats (SSR) or micro satellites, single nucleotide polymorphisms (SNP), etc. The use of molecular markers differs from species to species also.
Random amplified polymorphic DNA (RAPD) was applied to generate species-specific diagnostic fragment patterns for the molecular identification of the ornamental aquarium fish species Trichogaster lalia, more commonly known as dwarf gourami. The species were collected from various geographically distant locations of Assam. After initial screening, four primers having a length of 10 arbitary nucleotide sequence were used which generated the RAPD profile for Trichogaster species. The primers produced 39 bands in total. In the experiment 22 polymorphic bands and 7 monomorphic bands were produced. The genetic distance of an individual ranged from 0.03 to 0.38. The average genetic distance among the individuals showed that more than 0.03 species are genetically more similar
this is a presentation on molecular markers that include what is molecular marker, it's types, biochemical markets (alloenzyme), it's classification, data analysis and it's applications
Fast forward genetic mapping provides candidate genes for resistance to fusar...ICRISAT
Fast forward genetic mapping combined with whole genome sequencing (WGS)and bulked segregantan alysis (BSA)approach was used to identify the candidate genes for Fusarium wilt (FW)and sterility mosaic disease (SMD) resistance in pigeonepa.
3 Jul 2014
TYPES OF MOLECULAR MARKERS,ITS ADVANTAGES AND DISADVANTAGESANFAS KT
Types of molecular markers (genetics)
ITS ADVANTAGES AND DISADVANTAGES
What is a genetic marker?
RFLP: Restriction fragment length polymorphism
AFLP: Amplified fragment length polymorphism
RAPD: Random amplification of polymorphic DNA
ISSR: Inter simple sequence repeat
STR: Short tandem repeats
SCAR: Sequence characterized amplified region
SNP: Single nucleotide polymorphism
SSR: Simple sequence repeat
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
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/
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
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.
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.
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.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
1. Real world application of markers
in peach breeding programs:
Marker Assisted Selection pilot studies on
green peach aphid Resistance (Rm2 gene)
Mauroux JB, Dievart V, Tuero C, Pascal T
YOUR LOGO
2. FB selected traits for whom MAB implémentation
is ongoing
Genetic linkage map of peach (8 chromosomes)
YOUR LOGO
3. Real world application of markers in peach breeding programs:
Pilot studies on Rm2
Marker assisted selection (MAS) refers to the use of DNA markers that are
tightly-linked to target loci as a substitute for or to assist phenotypic
screening.
Assumption: DNA markers can reliably predict phenotype.
YOUR LOGO
4. Implementation of MAS for the resistance of green aphid :
from gene mapping to marker validation
Marker
• From the resulting map, identification of a set of markers close to the Rm2 gene
Identification
Marker
Checking
Genetic
Test on
Offsprings
Marker
Validation
• Leaf sampling
• Genotyping parents with the 10 previously identified markers
• Screening of the set of markers on the parents of 6 targeted crosses
• Leaf sampling
• Genotyping individuals with the 2 selected markers
• Establishment of a list of resistant and susceptible individuals
• Reliability evaluation of the selected markers, by comparison between real
phenotypes and phenotypes predicted by markers
YOUR LOGO
MAB
Marker development
Gene
Mapping
• Development of a population (F2) segregating for resistance to the aphid
• Phenotypic testing (R + S) + genetic test
• Creation of a genetic map (markers + Rm2)
5. Development of a population (F2) segregating for
resistance to aphids
Genomic data
+
Phenotypic data
Genetic map
YOUR LOGO
6. Methodology for testing resistance to green peach aphid
Without markers
Aphids transfert
1 week
Mass rearing
(on 3 month seedlings)
Multiplication
(on GF305)
Aphid production
YOUR LOGO
Controlled infestation
+Phenotyping
Resistance test
7. Methodology for testing resistance to green peach aphid
Using markers
Aphids transfert
Susceptibles
Markers
1 week
Mass rearing
(on 3 month seedlings)
Multiplication
(on GF305)
Aphid production
Controlled infestation
+Phenotyping
Resistants
Resistance test
Advantages of markers:
The production of aphids is not required (time/cost savings)
possibility to know whether the resistant individuals have one or more resistance factors.
YOUR LOGO
8. Creation of a genetic map (markers + Rm2)
CH1
CH2
CH3
CH4
CH5
CH6
CH7
Rm2
Genetic map derived from the (Pamir x Rubira)2 cross
YOUR LOGO
CH8
9. From the resulting map, identification of a set of markers
close to the Rm2 gene
End of the chromosome 1
Rm2
Chromosome 1
Zoom +
mkr01
mkr02
mkr03
mkr04
mkr05
mkr06
mkr07
mkr08
mkr09
mkr10
Rm2 gene has been located close to
the end of the chromosome 1
Many markers identified in this area
10 markers were selected as good
candidates for MAB
YOUR LOGO
10. Screening of the set of markers on the parents of 6
targeted crosses
Parent of the pilot studies:
Rm2
Leaf sampling + Genetic Tests
or
Polymorphic marker
Monomorphic marker
YOUR LOGO
11. Leaf sampling
Samples of young leaves were collected in greenhouse at INRA of Avignon
A leaf punch collection device were used to normalize quantity of the collected material (8
leaf discs/tree)
Samples were placed in their appropriate positions in a 96-well plate
Plates were kept cool during all the collection process
Once every plants were collected, plates were packaged with silica gel (for desiccation) and
shipped to LGC genomics (for DNA extraction and genotyping)
Note : for sampling in orchard, we recommend to collect the leaves in plastic bags
- DNA extraction
- Genotyping
YOUR LOGO
12. Rm2
Rm2
Rm2
Establishment of a list of resistant and susceptible
individuals
Exemple of genotypic data (provided by LGC)
R
S
R
R
R
S
S
R
R
S
YOUR LOGO
?
S
S
S
S
R
?
13. Reliability evaluation of the selected markers, by comparison
between real phenotypes and phenotypes predicted by markers
Method :
Pheno. test
Genetic test
S = S
R = R
R ≠ S
or
S ≠ R
mismatch
R=R S=S R=R S=S S=S R=R R=R R≠S S=S R=R S=S R≠S
Reliability (%) = 100 - % mismatch
= 100- 2*100/12 = 83,3 %
FruitBreedomics Pilot studies results :
YOUR LOGO
14. Assessment and conclusions of the MAS on Rm2 gene
10 markers were identified as good candidates for MAS on Rm2 gene from the (‘Pamirskij 5’
x ‘Rubira’®)2 (PR2) genetic map
733 plants, coming from 6 populations, were genotyped with 2 markers selected among the
10 initially identified on the PR2 genetic map.
Sample processing by LGC Genomics (extraction and genotyping) was fast enough (a few
days) and the data we received were of good quality (few missing data).
The validation results with a test of resistance to the aphid on the 733 tested plants showed
about 90% of reliability (mismatch probably due to problems with phenotyping and/or leaf
sampling)
Acquisition of good practices on leaf sampling in greenhouse and orchard
Validation of a working METHODOLOGY to ensure the success of genetic testing of
progenies (screening first the polymorphism of genitors on the 10 markers identified from
the genetic map)
YOUR LOGO
