The socioeconomic area of HarvestPlus LAC seeks to generate information to guide the decision related to biofortified crops in the region. The idea of this seminar is to present advances made in three socioeconomic studies: a. Potential departments/regions for an intervention with biofortified crops (cassava, rice, beans and maize) in Colombia; b. Adoption, consumption and ommercialization of improved rice varieties in Bolivia and c. Preliminary results of a consumer acceptance of a High Iron Bean variety (Super Chiva) in Guatemala.
Presented by Ben Lukuyu, Leonard Marwa, Chrispinus Rubanza, Anthony Kimaro and Christopher Mutungi at at the Africa RISING ESA Project Review and Planning Meeting, Dar es Salaam, Tanzania, 11-12 September 2019.
Presented by Ben Lukuyu, Leonard Marwa, Chrispinus Rubanza, Anthony Kimaro and Christopher Mutungi at at the Africa RISING ESA Project Review and Planning Meeting, Dar es Salaam, Tanzania, 11-12 September 2019.
To accelerate implementation of the Paris Agreement, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the International Livestock Research Institute (ILRI), in collaboration with the Global Research Alliance on Agricultural Greenhouse Gases (GRA) and the Food and Agriculture Organization of the United Nations (FAO), will facilitate a science-policy dialogue on measurement, reporting and verification (MRV) to detect mitigation impacts in livestock production systems. Country experiences will be shared to identify practical innovations for the collection and coordination of activity data and improved emission factors.
Walter Oyhantacabal, Ministry of Livestock, Agriculture and Fishery, Uruguay
The population in the tropical uplands particularly in the Southeast Asia is rapidly increasing, but the natural resources are dwindling and degrading. Presentation provides evidence of Conservation Agriculture with Trees increasing crop yields, soil organic matter and income and resilience to environmental stresses (drought, intense rainfall, typhoons), while reducing labor and capital costs.
This presentation is supplemental to the 2040 Socioeconomic Study completed by Transport Studio at the request of the Valdosta-Lowndes Metropolitan Planning Organization. This was a special presentation to the Greater Lowndes Planning Commission. More information is on our website at www.sgrc.us/transportation.
This presentation is supplemental to the 2040 Socioeconomic Study completed by Transport Studio at the request of the Valdosta-Lowndes Metropolitan Planning Organization. More information is on our website at www.sgrc.us/transportation.
A brief MS PowerPoint presentation about socioeconomic ideology in language curriculum development. It was presented before the Language Curriculum class of Dr. Mila J. Arias at the College of Education, Arts, and Sciences of the National University, Manila.
Student/presenter:
Tristan L. Piosang
BSEd English
Faculty:
Dr. Mila J. Arias
References:
Bobbit, F. (1918). The curriculum. Boston: Houghton Mifflin.
Gutek, G. (2011). Historical and philosophical foundations of education. Boston, MA: Pearson Education.
Lutz, M. (2009). Handbook of economics and ethics. Edward Elgar Publishing.
Richards, J. (2001). Curriculum development in language teaching. NY, USA: Cambridge University Press.
A N Sinha Institute of Social Science (ANSISS), and the International Food Policy Research Institute (IFPRI) organized a one day consulation on
‘A Food Secure Bihar: Challenges and Way Forward’ on August 06, 2014 at ANSISS, Patna, Bihar.
You are aware that National Food Security Act (NFSA) has been enacted with a view to ensure food security in India and Bihar is one of the state where ensuring food security is a major challenge. A better understanding of NFSA in the context of Bihar will be helpful for effective implementation of the NFSA. The main objective of the policy consultative workshop is to deliberate on the options and strategies for making NFSA efficient and effective in Bihar.
Food security has been a high priority in the socio-economic policy of Uzbekistan since the early years of independence. As a result of policies pursued, Uzbekistan has managed to achieve (and maintain thereafter) grain independence,1 and increase its per capita production of meat, milk, eggs, fruit and vegetables substantially enough to achieve self-sufficiency in basic foods. These accomplishments have been made possible mainly by institutional reforms, including the transformation of inefficient shirkats (agricultural cooperatives) into private farms, the development of private initiatives in food storage, processing and distribution, the establishment of the Arable Land Amelioration Fund to maintain and improve the quality of farmland, and so on.
Ensuring food security, therefore, will require more complex approaches, policies and tools. Therefore, in order to ensure the nation’s food security in the long term more complex and comprehensive approaches and policies need
to be implemented. Food security should be considered as an integrated issue incorporating three key dimensions: 1) food availability; 2) access to food; and 3) balanced and highquality nutrition. The principal benchmarks of food policy should address these three key areas.
Strengthening Orange Fleshed Sweet Potato planting material systems in the Ea...africa-rising
Presented by Felistus Chipungu (CIP), Martin Chiona (ZARI), Simon Mudenda (ZARI) and Alfonso Kaharawe Nkhoma (ZARI) at the Africa RISING Eastern Province of Zambia Project Review and End-of-Project Meeting, Lusaka, Zambia, 7–8 September 2017
To accelerate implementation of the Paris Agreement, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the International Livestock Research Institute (ILRI), in collaboration with the Global Research Alliance on Agricultural Greenhouse Gases (GRA) and the Food and Agriculture Organization of the United Nations (FAO), will facilitate a science-policy dialogue on measurement, reporting and verification (MRV) to detect mitigation impacts in livestock production systems. Country experiences will be shared to identify practical innovations for the collection and coordination of activity data and improved emission factors.
Walter Oyhantacabal, Ministry of Livestock, Agriculture and Fishery, Uruguay
The population in the tropical uplands particularly in the Southeast Asia is rapidly increasing, but the natural resources are dwindling and degrading. Presentation provides evidence of Conservation Agriculture with Trees increasing crop yields, soil organic matter and income and resilience to environmental stresses (drought, intense rainfall, typhoons), while reducing labor and capital costs.
This presentation is supplemental to the 2040 Socioeconomic Study completed by Transport Studio at the request of the Valdosta-Lowndes Metropolitan Planning Organization. This was a special presentation to the Greater Lowndes Planning Commission. More information is on our website at www.sgrc.us/transportation.
This presentation is supplemental to the 2040 Socioeconomic Study completed by Transport Studio at the request of the Valdosta-Lowndes Metropolitan Planning Organization. More information is on our website at www.sgrc.us/transportation.
A brief MS PowerPoint presentation about socioeconomic ideology in language curriculum development. It was presented before the Language Curriculum class of Dr. Mila J. Arias at the College of Education, Arts, and Sciences of the National University, Manila.
Student/presenter:
Tristan L. Piosang
BSEd English
Faculty:
Dr. Mila J. Arias
References:
Bobbit, F. (1918). The curriculum. Boston: Houghton Mifflin.
Gutek, G. (2011). Historical and philosophical foundations of education. Boston, MA: Pearson Education.
Lutz, M. (2009). Handbook of economics and ethics. Edward Elgar Publishing.
Richards, J. (2001). Curriculum development in language teaching. NY, USA: Cambridge University Press.
A N Sinha Institute of Social Science (ANSISS), and the International Food Policy Research Institute (IFPRI) organized a one day consulation on
‘A Food Secure Bihar: Challenges and Way Forward’ on August 06, 2014 at ANSISS, Patna, Bihar.
You are aware that National Food Security Act (NFSA) has been enacted with a view to ensure food security in India and Bihar is one of the state where ensuring food security is a major challenge. A better understanding of NFSA in the context of Bihar will be helpful for effective implementation of the NFSA. The main objective of the policy consultative workshop is to deliberate on the options and strategies for making NFSA efficient and effective in Bihar.
Food security has been a high priority in the socio-economic policy of Uzbekistan since the early years of independence. As a result of policies pursued, Uzbekistan has managed to achieve (and maintain thereafter) grain independence,1 and increase its per capita production of meat, milk, eggs, fruit and vegetables substantially enough to achieve self-sufficiency in basic foods. These accomplishments have been made possible mainly by institutional reforms, including the transformation of inefficient shirkats (agricultural cooperatives) into private farms, the development of private initiatives in food storage, processing and distribution, the establishment of the Arable Land Amelioration Fund to maintain and improve the quality of farmland, and so on.
Ensuring food security, therefore, will require more complex approaches, policies and tools. Therefore, in order to ensure the nation’s food security in the long term more complex and comprehensive approaches and policies need
to be implemented. Food security should be considered as an integrated issue incorporating three key dimensions: 1) food availability; 2) access to food; and 3) balanced and highquality nutrition. The principal benchmarks of food policy should address these three key areas.
Strengthening Orange Fleshed Sweet Potato planting material systems in the Ea...africa-rising
Presented by Felistus Chipungu (CIP), Martin Chiona (ZARI), Simon Mudenda (ZARI) and Alfonso Kaharawe Nkhoma (ZARI) at the Africa RISING Eastern Province of Zambia Project Review and End-of-Project Meeting, Lusaka, Zambia, 7–8 September 2017
Adverse Weather Conditions and Cattle Farming: A case study on impacts of adv...Muslim Aid
This research was done by our group social science group members. Thank u very much to my colleagues to accept me a part of this research.
Mukkashif Muhaideen,
Faculty of Agriculture,
University Of Ruhuna
Agriculture as an Economic Development Opportunity - Municipal Ag Ec Dev Foru...Carolyn Puterbough
Resources and Tools to Support Agriculture Economic Development
Ryan Deska, Economic Development Specialist, OMAFRA - Agriculture as an Economic Driver Resource - www.ontario.ca/omafra
Presented by Polly Ericksen (ILRI) on 9 July 2019. It was part of the webinar Can we reduce GHG emissions from livestock? A feasibility and investment study from East Africa. This is part of a webinar series presenting recent land use and climate research by the CGIAR and supported by USAID’s Office of Global Climate Change.
Noosa beef local food value chain project reference group meeting 1Dr Brian Stockwell
Background information on consumer attitudes and preferences in regard to local food, beef, branding and certification. Scenarios for beef production in Noosa District.
RDR seminar on ''Understanding Urban and Rural Household Food Consumption in ...IFPRI Africa
To conclude his presentation during the Research and Development Roundtables (RDR), Dr Wim mentioned that Senegal is a clear case of hidden hunger, Urban diet is bigger in size and more diversified than rural diet, which remains largely dominated by cereals and nutrient adequacies are higher in areas known for production of corresponding crops especially for iron and millet, except for vitamin B12 and vitamin A
Enhancing Global Food Resources: CGIAR Strategy and its future Portfolio of P...CGIAR
Presented to the Second International Forum on Global Food Resources, 5-6 October 2016, Hokkaido University.
By Peter Gardiner, CGIAR System Management Office, France
Durante la Semana de la Agricultura y la Alimentación, el Programa de Investigación del CGIAR en Cambio Climático, Agricultura y Seguridad Alimentaria – CCAFS, la Organización de las Naciones Unidas para la Alimentación y la Agricultura, FAO, y el Centro Internacional de Agricultura Tropical – CIAT, apoyaron la II Reunión Internacional de Ministros y altas autoridades de agricultura sobre agricultura sostenible y cambio climático con un documento base y su presentación sobre los retos que representa el cambio climático para la agricultura en Latino América y el Caribe.
Taller sobre intervenciones en nutrición, género y agricultura: situación actual y oportunidades futuras’, organizado por el CIAT y HarvestPlus en Ciudad de Guatemala. Leer más: http://ow.ly/XNIv30mGYBv
Impacto de las intervenciones agricolas y de salud para reducir la deficienci...CIAT
Taller sobre intervenciones en nutrición, género y agricultura: situación actual y oportunidades futuras’, organizado por el CIAT y HarvestPlus en Ciudad de Guatemala. Leer más: http://ow.ly/XNIv30mGYBv.
Presentado por Byron Reyes, CIAT/ Harvestplus
Agricultura sensible a la nutrición en el Altiplano. Explorando las perspecti...CIAT
Taller sobre intervenciones en nutrición, género y agricultura: situación actual y oportunidades futuras’, organizado por el CIAT y HarvestPlus en Ciudad de Guatemala. Leer más: http://ow.ly/XNIv30mGYBv
El rol de los padres en la nutrición del hogarCIAT
Taller sobre intervenciones en nutrición, género y agricultura: situación actual y oportunidades futuras’, organizado por el CIAT y HarvestPlus en Ciudad de Guatemala. Leer más: http://ow.ly/XNIv30mGYBv
Jennifer Twyman, Líder de investigación de Género en el CIAT
Scaling up soil carbon enhancement contributing to mitigate climate changeCIAT
The 4 per 1000 Africa Symposium - Building synergies across Africa to advance on soils for food security and climate, Johannesburg, South Africa 24-26 October 2018
Rolf Sommer, Kristin Piikki, Mats Söderström, Sylvia Nyawira, Mayesse da Silva, Wuletawu Abera and
Job Kihara
Impacto del Cambio Climático en la Agricultura de República DominicanaCIAT
El Banco Interamericano de Desarrollo (BID) y el Centro Internacional de Agricultura Tropical (CIAT), con el apoyo de los Programas de Investigación de CGIAR sobre Políticas, Instituciones y Mercados (PIM) y sobre Cambio Climático, Agricultura y Seguridad Alimentaria (CCAFS), se han asociado para comprender, a través de la ciencia, el impacto del cambio climático en cultivos claves y el impacto económico en la productividad de la agricultura en países de ALC.
BioTerra: Nuevo sistema de monitoreo de la biodiversidad en desarrollo por el...CIAT
BioTerra es un sistema innovador de monitoreo de la biodiversidad y sus amenazas desarrollado por el Programa Riqueza Natural de la Agencia de los Estados Unidos para el Desarrollo Internacional (USAID), y sus socios locales – el Centro Internacional de Agricultura Tropical (CIAT) y el Instituto Alexander von Humboldt (IAvH) – para apoyar al gobierno colombiano en el cumplimiento de las metas y compromisos de conservación de la biodiversidad. Este sistema busca complementar y aunar esfuerzos existentes de monitoreo de la biodiversidad y sus amenazas, a nivel nacional y regional.
Cacao for Peace Activities for Tackling the Cadmium in Cacao Issue in Colo...CIAT
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
Tackling cadmium in cacao and derived products – from farm to forkCIAT
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
Cadmium bioaccumulation and gastric bioaccessibility in cacao: A field study ...CIAT
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
Geographical Information System Mapping for Optimized Cacao Production in Col...CIAT
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
Técnicas para disminuir la disponibilidad de cadmio en suelos de cacaoterasCIAT
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
El taller ‘Cacao libre de cadmio’, organizado por el CIAT, CIRAD, y la AFD, se lleva a cabo del 12 al 14 de marzo en la sede del CIAT en Palmira,y tiene como objetivo integrar un consorcio de actores y disciplinas claves de la región, así como elaborar un proyecto de investigación aplicada que dé respuesta a este problema que afecta a los cacaoteros de Colombia, Perú y Ecuador. http://ow.ly/J43p30iU0UZ
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Research advances of HarvestPlus socioeconomic studies in LAC
1. HarvestPlus c/o CIAT
A.A. 6713 • Cali, Colombia
Tel: +57(2)4450000 • Fax: +57(2)4450073
HarvestPlus@cgiar.org • www.HarvestPlus.org
Research advances of
HarvestPlus socioeconomic
studies in LAC
Carolina Gonzalez
Impact Assessment, Harvest Plus LAC
CIAT-IFPRI
26 Jun 2014
2. Contents
• Portfolio of socioeconomic studies for H+LAC
• Biofortification Prioritization Index (BPI) for
Colombia
• Rice production, consumption and
commercialization in Bolivia
• Consumer Acceptance of a HIB variety (Super
Chiva) in Guatemala
3. HarvestPlus
AgroSalud LAC -14
countries
HarvestPlus
LAC
2002-2004 2005 2006-2008-2009-2010-2011 2012-2013 (- 2018)
Guatemala, Nicaragua,
Haiti, Bolivia
Panama, Brazil and
Colombia
HarvestPlus
Global
Honduras, El Salvador
We develop nutrient-rich seeds: Beans-iron/zinc; rice-zinc;
maize: VIT A/zinc; cassava-VIT A; sweet Potato-VIT A
4. Overall portfolio in LAC/Brazil
• Where to invest?
1. Prioritization exercise
2. Opportunities map
• Informing delivery and breeding
1. Varietal adoption studies
2. Consumer acceptance studies
3. Farmer field day evaluation
• Measuring impact
1. Farmer feedback studies
2. Impact assessment
3. Impact evaluation/effectiveness
• Policy studies
5. COLOMBIA BPI
José Funes, Carolina González, Salomón Perez,
Alexander Buritica, Ekin Birol, Manfred Zeller, Moursi
Mourad
6. Three basic conditions
The geographic areal unit must be a producer
of the crop.
The geographical areal unit’s population must
consume a substantial quantity of the crop
under consideration.
The geographical areal unit’s population
suffers from deficiencies for the key
micronutrients, namely vitamin A, zinc, or
iron.
Asare-Marfo et al. (2013) www.harvestplus.org/content/prioritizing-countries-
biofortification-interventions-using-country-level-data
7. Data sources
• Micronutrient deficiency statistics: the National Survey of Nutritional Situation
(ENSIN) assesses the nutritional state in Colombia. The survey is national,
regional (6 regions) and department (32 departments) representative. It is also
representative for urban and rural areas (ENSIN, 2010). [departments, n=32]
• Production statistics: the annual evaluation of agriculture and livestock of
municipalities 2011 produced by the ministry of agriculture [municipalities,
n=1120] and FAO food balance sheet.
• Consumption statistics: the ENSIN 2005 survey provides per capita food
consumption statistics[departments, n=32; municipalities, n=252].
• Population statistics: 2011 population projections, based on 2005 population
census (DANE, 2011). [districts, n=1120] % & UN Population prospects (2013).
• BPI – departments
7
8. Production index
• Production index = [1/3*per capita area harvestedr] +
[1/3*Agricultural land allocated to the cropr] + [1/3*Spatial Interaction
Factorr]x
Department
Production
Index
Cassava
GUAINIA 1.00
ARAUCA 0.49
AMAZONAS 0.45
GUAVIARE 0.45
SUCRE 0.41
BOLIVAR 0.30
CAQUETÕ 0.29
VAUPES 0.29
MAGDALENA 0.27
CORDOBA 0.21
Department
Production
Index Maize
(interaction
index)
CORDOBA 0.70
ARAUCA 0.58
GUAVIARE 0.50
BOLIVAR 0.43
SUCRE 0.40
GUAINIA 0.39
PUTUMAYO 0.39
CESAR 0.34
CAQUETA 0.34
MAGDALENA 0.32
Department
Production Rice
Index (spatial
interaction)
CASANARE 0.94
TOLIMA 0.70
META 0.62
SUCRE 0.37
CHOCO 0.34
NORTE DE SANTANDER 0.29
HUILA 0.25
CESAR 0.19
ARAUCA 0.18
BOLIVAR 0.12
Department
Production
Index Bean
(interaction
index)
HUILA 0.62
CUNDINAMARCA 0.46
CALDAS 0.37
QUINDIO 0.33
SANTANDER 0.28
ANTIOQUIA 0.27
NARINO 0.26
CAUCA 0.24
TOLIMA 0.23
NORTE DE SANTANDER 0.22
9. The spatial index a
Figure. Rice food deficit/ rice food surplus/ rice food balanced
Source: Authors calculations based on DANE –ENA 2011
• Food surplus
(ration <=0.8)
• Food balanced
(0.8-1.2)
• Food deficit
areas (>=1.2).
SII: Measures the potential spatial interaction between
departments that have surpluses on their aggregate supply
and with their neighbors departments.
10. Consumption index
• Consumption Index i = [(rur_popi/tot_popi) * rur_
cons_capitai + (urb_popi/total_popi) * urb_
cons_capitai]r
Department
Consumption
Index Maize
CHOCO 1.00
VAUPES 0.99
TOLIMA 0.82
CALDAS 0.69
GUAINIA 0.65
RISARALDA 0.65
ANTIOQUIA 0.49
CAUCA 0.45
QUINDIO 0.40
CAQUETA 0.38
Department
Consumption
Index Bean
CALDAS 1.00
ANTIOQUIA 0.96
GUAINIA 0.86
TOLIMA 0.85
QUINDIO 0.84
RISARALDA 0.83
META 0.78
VAUPES 0.74
GUAVIARE 0.72
VICHADA 0.71
Department
Consumption
Index Rice
BOLIVAR 1.00
VALLE DEL CAUCA 0.72
ANTIOQUIA 0.63
CAUCA 0.48
ATLANTICO 0.38
MAGDALENA 0.35
SUCRE 0.35
CORDOBA 0.30
LA GUAJIRA 0.28
CESAR 0.21
www.Laylita.com
Department
Consumption
Index Cassava
LA GUAJIRA 1.00
NORTE DE SANTANDER 0.92
CESAR 0.80
MAGDALENA 0.79
SANTANDER 0.75
CAQUETA 0.74
BOLIVAR 0.70
SUCRE 0.62
ATLANTICO 0.57
ARAUCA 0.49
11. Micronutrients:
Vitamin A micronutrient deficiency index
– Micronutrient Index (Vitamin A) = ½*Serum Retinol <0.7 µmol/l +
½*(100 - proportion of consumption by food groups fruits).
Iron micronutrient deficiency index
– Micronutrient Index (Iron) = ½*ferritin < 12 g/dl + ½*(100 - proportion
of consumption by food groups meats and eggs)
Zinc micronutrient deficiency index
– Micronutrient Index (Zinc) = ½*Inadequate Zinc + ½*Stunting
prevalence
17. Next Steps
Finalize the working paper…
Develop a subnational Biofortification
Prioritization Index to rank regions in
Guatemala where biofortification could
have the highest impact using the food
basket approach.
18. Diana Lopera, Ricardo Labarta, Victor Zuluaga, José María
Martinez, Roger Taboada and Carolina Gonzalez
Rice in Bolivia
19. Adoption study of rice varieties in
Bolivia
General Objectives (some preliminary results)
• Characterization of the rice production system in Bolivia.
• Identification of the rice varieties in Bolivia (farmers’ identification vs.
molecular markers).
• Estimation of current adoption rates for rice varieties in the country and
factors associated with farmers’ choice of rice varieties.
• Estimation of the proportion used for home consumption and sales
across rice producing households and preferences
• Identify household main source(s) of information, about agricultural
techniques and health and nutrition.
• Collect secondary information with the local organizations (secretaries of
health, municipalities, and hospitals) about micronutrient deficiency.
Available
20. Sampling
We used a multi-stage sampling procedure:
Total surveys required due to
the sampling
Total surveys actually
conducted (due to logistical
constraints)
Households Village Households Village
Irrigated producers 84 7 83 6
Rainfed producers 900 75 855 94
Total producers 984 82 938 100
12 producers/community
21. Study sites
Department Province Freq.
Santa Cruz
(n=613)
Guarayos 150
Ichilo 238
Ñuflo de Chávez 39
Obispo
Santistevan
65
Sara 58
Warnes 62
Beni
(n=244)
Ballivian 72
Cercado 45
Marban 67
Moxos 60
Cochabamba
(n=81)
Carrasco 81
Department Province Municipality Village
3 11 24 100
22. Preliminary descriptive statistics :
Household characteristics
Total
Department
Santa Cruz Beni
Cochabam
ba Anova
Obs. Mean Mean Mean Mean
Household size 846
4.6 4.4 4.8 5.1 **
(2.22) (2.2) (2.3) (2.1)
Gender of head of hh (%male) 848
0.96 0.96 1.0 1.0
(0.18) (0.2) (0.2) (0.2)
Age of head of hh (years) 842
46.0 45.9 47.1 43.8 *
(12.41) (12.4) (12.4) (12.0)
Years of schooling received by
household head
792
6.6 6.7 6.4 6.2
(4.14) (4.1) (4.2) (4.2)
(whitout japanese)
23. Preliminary descriptive statistics :
Production unit and Rice
Total
Departments
Santa Cruz Beni Cochabamba Anova
Obs. Mean Median Mean Median Mean Median Mean Median
Total land available for
production (ha)-APU
852 57.5 37 80.90 50 18.1 2 23.7 11.5 ***
(150.6) (185.79) (29.07) (46.48)
Total rice area planted
(ha)
853 17.2 3.0 25.7 10 2.5 1 5.5 1 ***
(58.6) (72.7) (4.7) (17.6)
Total rice production
(ton)
835
42.0 4.8 63.4 16 6.0 1.2 14.2 1.53 ***
(175.6) (220.4) (14.7) (46.1)
Yield (ton/ha) 835 2.1 1.9 2.3 2 1.8 1.6 2.0 2 ***
(1.5) (1.5) (1.3) (1.4)
(whitout japanese)
24. Production constraints
Pest and Insects
Drought
Diseases
other
Floods
Grain yield
Low soil fertility
Lack of inputs
Seed quality
53.39%
26.28%
6.66%
4.28%
3.57%
3.57%
1.07%
0.71%
0.48%
What are your main production
constraints? (most important)
(N= 841) (N= 828)
High yield
Resistance to pest and Insects
Resistance to diseases
Tolerance to drought
Short-cycle varieties
Lower levels of inputs
Other
70.51%
8.32%
3.45%
12.01%
3.09%
0.71%
1.90%
What characteristics do you look for in
rice varieties when deciding what
varieties to use on your plot? (most
important)
25. Main varieties planted
MAC 18
GRANO DE ORO
ESTAQUILLA
JASAYE
EPAGRI
URUPE
POPULAR
TARI
PAITITI
CRISTAL
DORADO
IAC 101
PANACU
BLUEBONNET
CARANDEÑO
IAC 103
OTRAS
22.0%
10.3%
9.2%
7.5%
6.3%
5.8%
4.5%
3.8%
3.3%
2.5%
2.1%
1.5%
1.5%
1.5%
1.2%
1.0%
16.2%
Planted varieties by plot
excluding Japanese (2012-2013)
CAISY 50
EPAGRI
EPAGRI 109
IAC 101
MAC 18
0.5%
26.2%
3.3%
34.3%
35.7%
Planted varieties by plot
(2012-2013): Japanese
N= 1019 plots N= 210 plots
26. Our sampling covers around 15.794 ha
MAC 18
GRANO DE ORO
EPAGRI
URUPE
ESTAQUILLA
TARI
PANACU
IAC 101
PAITITI
EPAGRI 115
JASAYE
NOVENTON
IAC 103
IAC 115
SAAVEDRA 44
OTHER
47.77%
8.79%
7.72%
6.14%
5.49%
4.28%
3.74%
3.59%
2.78%
1.58%
1.51%
1.37%
1.02%
0.51%
0.44%
3.26%
Main rice varieties in Bolivia: percentage of total area
planted
27. Main varieties planted by department
ESTAQUILLA
GRANO DE ORO
POPULAR
MAC 18
JASAYE
EPAGRI
OTHER
22.0%
17.0%
15.2%
9.5%
5.3%
4.2%
26.9%
BENI: planted varieties by plot
(2012-2013)
CRISTAL
ESTAQUILLA
URUPE
MAC 18
CAROLINA
PAITITI
OTHER
28.9%
15.6%
7.8%
8.9%
6.7%
5.6%
26.7%
COCHABAMBA: planted
varieties by plot (2012-2013)
MAC 18
JASAYE
GRANO DE ORO
URUPE
EPAGRI
TARI
OTHER
29.6%
9.4%
9.0%
8.6%
8.0%
5.6%
29.9%
SANTA CRUZ: planted varieties by
plot (2012-2013)
28. Commercialization and Consumption
Sale is 81% vs. 19%
consumption and seed*
Disaggregating by department
we found that the change
share was 85% vs. 15% for
Santa Cruz and 71% vs. 29%
for Beni respectively*
Consumption
Dto N
Mean
(kg/d) p50 sd min max
Beni 243 1.2 1 0.8 0.1 6
Cochabamba 81 1.3 1 0.8 0.25 5
Santa Cruz 515 1.3 1 0.8 0.2 9
Total 839 1.2 1 0.8 0.1 9
Rice food - Bolivia
29. Consumer preferences
Grain type (shape and length)
Grain quality
Easier to thresh
Easier to sell/ good marketing
Good taste
Other
41.91%
20.89%
7.61%
10.02%
18.48%
1.09%
What qualities do you look for in rice
varieties when deciding what varieties to
use on your plot? (most important)
Long and thin
Short and round
Super-fine rice and aromatic
Millet rice and polished
Brown rice (less polished)
Popular (medium and round)
66.40%
16.10%
7.00%
10.80%
0.70%
38.20%
Which type of rice do you
prefer? (count of 1=yes)
(n= 855 whitout japanese)
30. Next Steps
Identification of the rice
varieties in Bolivia (farmers’
identification vs. molecular
markers).
Finish the analysis..
Outputs
Master Thesis
Papers (2)
31. Consumer Acceptance of a HIB variety
(super chiva) in Guatemala
Salomón Perez, Carolina González, Ekin Birol, Manfred
Zeller – ICTA- U. Hohenheim
32. Objectives
1. Determine the socioeconomic and organoleptic
factors affecting the acceptance of iron biofortifed
beans varieties in Guatemala.
1. Estimate the premium/discount related with HIB
variety (super chiva) in Guatemala.
2. Evaluate the acceptance of the HIB variety from a
gender basis
32
33. Why Guatemala?
Prevalence of anemia in
children 6 – 59 months: 47%
(ENSMI, 2009).
Prevalence of anemia
pregnant women: 29.1%
(ENSMI, 2009).
Prevalence of anemia non
pregnant women: 21.4%
(ENSMI, 2009). Source: http://www.desdeabajo.info
*Anemia: hemoglobin < 11g/dl 33
35. Methodology
Sample size : 360 HH’s randomly
selected in 8 districts.
Home use testing approach
Three treatments:
1. No information
2. Information (once)
3. Information (three times)
36. Becker-DeGroot-Marschak (BDM)
auction:
1. Ask willingness to pay for each
variety
2. Select a paper with a variety
figure from a bag
3. Select one price from the bag
4. Win or lost - purchase the
variety.
Source:Fieldwork 36
Methodology (b)
If bid ≥ random price “WIN”
If bid < random price “LOSE”
Pay
price
Don’t
Pay
37. Preliminary results (PR): Sample characterization
37
Variable Construction
Mean
Treatment 1 Treatment 2 Treatment 3 Prob > F
Age Respondent’s age in years 36.24 35.82 34.96 0.7340
Literacy HH’s head knows to write and read 70% 68.33 70.59% 0.7791
HH size** Number of members in the HH 6.32 6.06 5.46 0.0210
Income Expenses in the last 30 day in
Quetzales
2,447 2,629 2,265 0.2022
Poverty PPI 61.25% 66.47% 65.34% 0.3631
Consumption Beans consumption per week
(pounds)
3.34 3.15 2.65 0.3824
Food
frequency
index
Count of 15 food groups consumed in
the last 7 days (less than 4=0, 4-
6=1,7+=2)
6.34 5.90 5.93 0.3933
Babies HH with babies less than 12 months 22.5% 25% 20% 0.4055
Children (1-5
years)*
HH with children between 1-5 years 53.3% 40% 45% 0.0688
Pregnancy HH with pregnant women 3.33% 6.67% 5.04% 0.3907
p<0.1*, p<0.05**, p<0.01***
38. PR: (Mean hedonic rating (MHR) of bean variety)
38
Bean variety Raw bean
color
Raw bean
size
Bean taste Time of
cooking
Cooked bean
thickness
Cooked bean
toughness
Overall
Control(T1):No
Information
Local (Hunapu) 6.55±0.59 6.57±0.72 6.59±0.75 6.10±1.35 6.17±1.29 1.85±2.95 6.47±1.00
HIB (Superchiva) 6.63±0.72 6.61±0.67 6.75±0.74 6.58±0.74 6.66±0.66 1.95±3.07 6.66±0.66
Difference in
means
HIB vs Local 0.75 0.042 0.16 0.47*** 0.49*** 0.11 0.19*
T2:
Information
presentonce
Local (Hunapu) 6.53±0.46 6.5 ±0.56 6.63±0.52 6.37±1.09 6.40±0.93 1.42±2.73 6.59±0.63
HIB (Superchiva) 6.77±0.65 6.74±0.46 6.85±0.42 6.64±0.76 6.6 ±0.91 1.21±2.63 6.6±0.91
Difference in
means
HIB vs Local 0.24*** 0.24*** 0.21*** 0.26** 0.19 -0.21 0.01
T3:Information
presentthree
times
Local (Hunapu) 6.55±0.57 6.54±0.55 6.63±0.53 6.39±0.67 6.53±0.54 1.34±2.63 6.59±0.59
HIB (Superchiva) 6.76±0.51 6.77±0.51 6.84±0.46 6.57±0.77 6.64±0.96 1.15±2.51 6.64±0.96
Difference in
means
HIB vs Local 0.21*** 0.23*** 0.20*** 0.17* 0.11 -0.19 0.06
39. PR: Mean economic rating of bean varieties
39
Average WTP Premium/Discount
WTP HIB (T1)
WTP HIB (T2)
WTP HIB (T3)
WTP trad (T1)
WTP trad (T2)
WTP trad (T3)
Premium (T1)
Premium (T2)
Premium (T3)
4.83±0.71
4.96±0.83
4.89±0.76
4.70±0.72
4.67±0.74
4.67±0.71
0.133±0.90
0.289±0.94
0.220±0.81
There’ is not significant differences between the WTP
towards both varieties across the three treatments.
Frequency of information did not have effects
40. Next Steps
…to finish the described objectives
Muchas gracias!!
Outputs:
Ph.D Thesis (1)
Papers (2)
Editor's Notes
En paréntesis la desviación estantadar
La significancia esta medida por la estrella * al 10% **al 5% ***al 1%
*si p>0.05 no es estadisticamente significativo por tanto no hay diferencias significativas en el tamaño del hogar entre los departamentos, es decir, el departamento no influye sobre el tamaño del hogar
Solo incluye el 25% de los datos
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used
H+ was lounched in 2004. Its coordinated by ifpri and ciat
Conventional breeding is used