Presented by Ulric Daniel at the Technology for African Agricultural Transformation (TAAT) Small Ruminants Value Chain Inception Meeting, ILRI, Addis Ababa, 22 June 2018
Innovation at Progressive (A) - Harvard Business School
Answering the following questions:
1. How does Progressive’s performance as an auto insurer compare to that of typical insurance companies? How does its performance changed over time? What explains the difference in performance?
2. Customers of auto insurers are very price sensitive. How problematic is it to Progressive that customers almost always select the insurer that offers the best price?
3. Assess the viability of the Autograph system. What level of consumer acceptance will it take to make Autograph successful? What are the barriers to consumer acceptance? Should Autograph be expanded nationwide?
Made and presented for the course Service Operations Management at the Viadrina University, winter term 2012/2013
Innovation at Progressive (A) - Harvard Business School
Answering the following questions:
1. How does Progressive’s performance as an auto insurer compare to that of typical insurance companies? How does its performance changed over time? What explains the difference in performance?
2. Customers of auto insurers are very price sensitive. How problematic is it to Progressive that customers almost always select the insurer that offers the best price?
3. Assess the viability of the Autograph system. What level of consumer acceptance will it take to make Autograph successful? What are the barriers to consumer acceptance? Should Autograph be expanded nationwide?
Made and presented for the course Service Operations Management at the Viadrina University, winter term 2012/2013
Toko Bunga Surabaya, Jual Karangan Bunga Surabaya, Jual Bunga Papan Surabaya, Jual Bunga Ucapan Surabaya, Jual Rangkaian Bunga Surabaya, Jual Buket Bunga Surabaya, Bunga Ucapan Selamat, Bunga Ucapan Duka Cita, Bunga Papan Selamat, Bunga Papan Duka Cita
The case study was given to us by our Professor in Business Policy and Strategy where we were to analyze Patagonia's achievements and successes as well as their downfalls, and give them new ways to expand their business. We took a look at they're corporate strategies, finances, and sales, and then provided feedback with data for where they should ultimately take their company which was described in the case analysis that was given to us.
Agreatculture Indonesia is a startup company that is engaged in agritech based on agriculture information technology and related fields. This is our first pitch deck which is explaining about what we do? what is our product? how can we formed? and important what problems that we gonna solved?
Uber - Building Intelligent Applications, Experimental ML with Uber’s Data Sc...Karthik Murugesan
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
Linear technology case analysis dividend payout policyHimanshu Gulia
it is a presentation on case analysis of the case dividend payout policy of linear technology and about its decision whether it should pay more dividend or keep it constant
CEMEX is baed out of Mexico and is one of the top ten producers of cement in world. This presentation is study of cement industry illustrating some frameworks used in Strategy Management.
Rbc farm Using Hydroponics to Improve food Securitypaulotush
A model Farm carrying out intensive and high turnover production, off a small area using Hydroponics Technology.
The fodder is grown in a containerized system that controls the light, temperature and water that the seed has exposure to.
A system of growing sprouted grain to provide green high quality livestock feeds in 6 Days.
This technology provides fodder solution to farmers all year round without depending on climatic condition and can be fed to all types of livestock.
Challenges and opportunities of animal feed processing and marketing in Ethio...ILRI
Poster prepared by Harry Schimmel, Manager, AKF Operations and Sales, for the ILRI-N2Africa Third Annual Partners’ Review and Planning Workshop, ILRI, Addis Ababa, 27-29 January 2016
Toko Bunga Surabaya, Jual Karangan Bunga Surabaya, Jual Bunga Papan Surabaya, Jual Bunga Ucapan Surabaya, Jual Rangkaian Bunga Surabaya, Jual Buket Bunga Surabaya, Bunga Ucapan Selamat, Bunga Ucapan Duka Cita, Bunga Papan Selamat, Bunga Papan Duka Cita
The case study was given to us by our Professor in Business Policy and Strategy where we were to analyze Patagonia's achievements and successes as well as their downfalls, and give them new ways to expand their business. We took a look at they're corporate strategies, finances, and sales, and then provided feedback with data for where they should ultimately take their company which was described in the case analysis that was given to us.
Agreatculture Indonesia is a startup company that is engaged in agritech based on agriculture information technology and related fields. This is our first pitch deck which is explaining about what we do? what is our product? how can we formed? and important what problems that we gonna solved?
Uber - Building Intelligent Applications, Experimental ML with Uber’s Data Sc...Karthik Murugesan
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
Linear technology case analysis dividend payout policyHimanshu Gulia
it is a presentation on case analysis of the case dividend payout policy of linear technology and about its decision whether it should pay more dividend or keep it constant
CEMEX is baed out of Mexico and is one of the top ten producers of cement in world. This presentation is study of cement industry illustrating some frameworks used in Strategy Management.
Rbc farm Using Hydroponics to Improve food Securitypaulotush
A model Farm carrying out intensive and high turnover production, off a small area using Hydroponics Technology.
The fodder is grown in a containerized system that controls the light, temperature and water that the seed has exposure to.
A system of growing sprouted grain to provide green high quality livestock feeds in 6 Days.
This technology provides fodder solution to farmers all year round without depending on climatic condition and can be fed to all types of livestock.
Challenges and opportunities of animal feed processing and marketing in Ethio...ILRI
Poster prepared by Harry Schimmel, Manager, AKF Operations and Sales, for the ILRI-N2Africa Third Annual Partners’ Review and Planning Workshop, ILRI, Addis Ababa, 27-29 January 2016
Testing and delivering tropically-adapted chickens for productivity growth i...ILRI
Testing and delivering tropically-adapted chickens for productivity growth in sub-Saharan Africa
Presented by Wondmeneh Esatu and Tadelle Dessie at the FAO-ILRI Regional Training Workshop on Proven Livestock Technologies, ILRI, Addis Ababa, 3-5 December 2018
Unacceptable practises in industrial food production systems: Close confinement of pigs and poultry in cages; Barren environments with no enrichment; Routine mutilations; and Use of antibiotics for growth promotion and cover-up cruelty
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Poster by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione presented at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 29 November 2023.
A training, certification and marketing scheme for informal dairy vendors in ...ILRI
Presentation by Silvia Alonso, Jef L. Leroy, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas and Delia Grace at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Milk safety and child nutrition impacts of the MoreMilk training, certificati...ILRI
Poster by Silvia Alonso, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas, Delia Grace and Jef L. Leroy presented at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Food safety research in low- and middle-income countriesILRI
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
Reservoirs of pathogenic Leptospira species in UgandaILRI
Presentation by Lordrick Alinaitwe, Martin Wainaina, Salome Dürr, Clovice Kankya, Velma Kivali, James Bugeza, Martin Richter, Kristina Roesel, Annie Cook and Anne Mayer-Scholl at the University of Bern Graduate School for Cellular and Biomedical Sciences Symposium, Bern, Switzerland, 29 June 2023.
Assessing meat microbiological safety and associated handling practices in bu...ILRI
Presentation by Patricia Koech, Winnie Ogutu, Linnet Ochieng, Delia Grace, George Gitao, Lily Bebora, Max Korir, Florence Mutua and Arshnee Moodley at the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Ecological factors associated with abundance and distribution of mosquito vec...ILRI
Poster by Max Korir, Joel Lutomiah and Bernard Bett presented the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsILRI
Poster by Lydiah Kisoo, Dishon M. Muloi, Walter Oguta, Daisy Ronoh, Lynn Kirwa, James Akoko, Eric Fèvre, Arshnee Moodley and Lillian Wambua presented at Tropentag 2023, Berlin, Germany, 20–22 September 2023.
A gentle push towards improved hygiene and food safety through ‘nudge’ interv...ILRI
Poster by Kristina Roesel, Steven Kakooza, Memory Chirwa, Denis Mugizi, Joshua Waiswa, Velma Kivali, James Bugeza, Dorothée Étienne, Imara Roychowdhury, Lillian Diaz and Elizabeth Cook presented at Tropentag 2023, Berlin, Germany, 20–22 September 2023.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Multi-source connectivity as the driver of solar wind variability in the heli...
The role of Ethio-chicken in supporting poultry upscaling at household level
1. TAAT Small Ruminants Value Chain Inception Meeting, ILRI Addis, 22 June 2018
Ulric Daniel, Managing Director , Ethio-Chicken PLC
The role of Ethio-chicken in supporting poultry
upscaling at household level
3. Our Vision
3
• One chicken per person
• Empower women
• Increase food security and
improve nutrition
• Create wealth for smallholders,
growers and partners
5. WHO ARE THE OWNERS OF THE COMPANY
David Ellis
Co-CEO, Founder
• Social Entrepreneur
Joseph Shields
Co-CEO
• McKinsey Private Equity
Specialist
•JPAL
8. Ethiochicken Key Facts
Our company maintains their own
parent stock from Holland, France,
Brazil and other European
suppliers, utilizes modern
incubation equipment from the
USA, and imports the best quality
vaccines from South Africa, France,
and the United States to make sure
your chicks are safe, diseases
resistant and high productive for
egg and meat.
Ethiochicken is Farmer-focused,
Development Oriented
10. Distribution Summary
Breeder, Hatcher, Aggregator
- Import and rear SASSO PS
- Manufacture feed
- Supply key vaccines
- Training for growers
- Hatch day-old chicks T451
Agents (Grower)
- 3,500+ rural entrepreneurs
- Raise 2,000 – 5,000 DOCs
- Brood to 4-6 weeks
- Administer vaccines
Smallholder Farmer
- Raise hens to lay (230+ eggs)
- Raise males for meat (2-3kg)
- Sell products in local market
- Consume surplus (30%)
AGENTS/OUTGROWERS
RURAL HOUSEHOLDS
11. • Veterinarian visits per cycle time
• Balanced, nutritious feed at fair price
• Marketing support from our ASM, Woreda
Coordinators
• Link with Equipment (brooders, drinkers, feeders)
importers.
• Comprehensive vaccine support
• High quality day-old chicks
Ethiochicken Key Facts
Our company is the only company in Ethiopia providing a total
package of support to our customers, including the following
services:
17. Our achievement ( Since 2010)
• Distributed > 20 million of chickens to
rural households through the extension
system in place
• 20,000 MT feed distributed
• Built organization of 950+ full-time
employees, 80 veterinarians working at
zonal and woreda level
19. Ethiopian Policy Direction for Poultry
The poultry sub-sector will
move away from the
traditional scavenging family
poultry system to the
improved semi scavenging
family poultry system
Ethiopian GTP II
20. GTP II Continued
• Effective encouragement of
increased private investment in the
poultry sector — particularly day-
old chicken (DOC) and pullet
production, and meat and egg
processing.
21. GTP II GOALS
164,000 tons chicken
meat production
3.9 billion eggs by the
year 2020 through
Small holder farmers
from improved breeds