Poster presented at CSA Global science conference in Montpellier (2015).
Daniel Jimenez , Sylvain Delerce, Hugo Andres Dorado, Maria Camila Rebolledo , Gabriel Garces, Edgar Torres
As climate changes become a prime challenge to agriculture, reliable crop nutrition is harder to come by. Haifa offers a range of solutions, designed to overcome the challenges, whatever the weather is
As climate changes become a prime challenge to agriculture, reliable crop nutrition is harder to come by. Haifa offers a range of solutions, designed to overcome the challenges, whatever the weather is
Row Covers for Early Tomato Production; Gardening Guidebook for Iowa ~ Iowa State University ~ For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Huerto Ecológico, Tecnologías Sostenibles, Agricultura Organica
http://scribd.com/doc/239850233
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110
Genotype by environment interactions and effects on growth and yield of cowpe...Premier Publishers
Cowpea is widely grown in the humid tropics as staple and is largely affected by genotype by environment interaction (GEI). Data obtained from field trials were subjected to genotype (G) by environment (E) interaction (GEI Biplot) analysis and was applied to examine the nature and magnitude of GEI and quantify their effects on cowpea performance in seven experimental trials in a rainforest and derived savanna agroecologies of south-west Nigeria. Results showed that genotype x environment interactions effects were significant on cowpea growth and yield characters. The differential performance of cowpea varieties as early- and late- rainy season crops at both locations were attributable to variability in the soil, weather and biotic factors of the test environments. Determination of winning genotype(s) and yield ranking across environments showed that cowpea varieties depicted differential performance for the test environments and hence the interaction was crossover type. Varieties IT97K-568-18, IT97K-568-18 and Oloyin Brown are high yielding while IT96D-610 and IT98K-205-8 are poor. Oloyin Brown and IT98K-573-2-1 won in Akure 1, 2, 3 and 4 and Ado 1 while IT97K-568-18 won in Ado 2 and Akure 5. IT96D-610 and IT98K-205-8 did not win in any environment. The best performing varieties, Oloyin Brown, IT97K-568-18 and IT98K-573-2-1 combined both high yield and stable performance across test environments and were characterized as ideal genotypes while most unstable variety, IT96D-610, performed poorly in test environments. It is concluded that Ado-Ekiti was best for the late rainy while Akure location was best for early rainy season cropping.
Results of research performed at the University of Nebraska Panhandle Research and Extension Center at Scottsbluff, NE, on the question: Do tillage practices have a statistically significant impact on yield?
Asia Regional Program Planning Meeting- Climate Change Impacts in AsiaICRISAT
Presentation by Dr Kesavarao AVR, Scientist, Agroclimatology, ICRISAT Development Center, Asia Regional Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) on 4 May 2016 at ICRISAT headquarters, Hyderabad, India. Presented at the Asia Regional Planning Meeting, ICRISAT, Patancheru
Dr. Alex Lindsey - Adverse Weather Conditions and Corn Management PracticesJohn Blue
Adverse Weather Conditions and Corn Management Practices - Dr. Alex Lindsey, OSU Crop Physiologist, from the 2020 Conservation Tillage and Technology Conference, held March 3-4, 2020, Ada, OH, USA.
Precision Agriculture for smallholder farmers: Are we dreaming?CIMMYT
Presentation delivered by Dr. Bruno Gerard (Global Conservation Agriculture Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Results presented in a Policy Workshop, January 22 in Kingston, Jamaica.
Project goals: (1) Identification of suitable climate proof cultivars for cocoa and tomato to increase resilience of Caribbean agriculture (2) Increase the dialogue between Cocoa and Tomato growers and researchers within the region (3) Inform of national climate compatible policies and risk communication strategies.
Row Covers for Early Tomato Production; Gardening Guidebook for Iowa ~ Iowa State University ~ For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Huerto Ecológico, Tecnologías Sostenibles, Agricultura Organica
http://scribd.com/doc/239850233
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110
Genotype by environment interactions and effects on growth and yield of cowpe...Premier Publishers
Cowpea is widely grown in the humid tropics as staple and is largely affected by genotype by environment interaction (GEI). Data obtained from field trials were subjected to genotype (G) by environment (E) interaction (GEI Biplot) analysis and was applied to examine the nature and magnitude of GEI and quantify their effects on cowpea performance in seven experimental trials in a rainforest and derived savanna agroecologies of south-west Nigeria. Results showed that genotype x environment interactions effects were significant on cowpea growth and yield characters. The differential performance of cowpea varieties as early- and late- rainy season crops at both locations were attributable to variability in the soil, weather and biotic factors of the test environments. Determination of winning genotype(s) and yield ranking across environments showed that cowpea varieties depicted differential performance for the test environments and hence the interaction was crossover type. Varieties IT97K-568-18, IT97K-568-18 and Oloyin Brown are high yielding while IT96D-610 and IT98K-205-8 are poor. Oloyin Brown and IT98K-573-2-1 won in Akure 1, 2, 3 and 4 and Ado 1 while IT97K-568-18 won in Ado 2 and Akure 5. IT96D-610 and IT98K-205-8 did not win in any environment. The best performing varieties, Oloyin Brown, IT97K-568-18 and IT98K-573-2-1 combined both high yield and stable performance across test environments and were characterized as ideal genotypes while most unstable variety, IT96D-610, performed poorly in test environments. It is concluded that Ado-Ekiti was best for the late rainy while Akure location was best for early rainy season cropping.
Results of research performed at the University of Nebraska Panhandle Research and Extension Center at Scottsbluff, NE, on the question: Do tillage practices have a statistically significant impact on yield?
Asia Regional Program Planning Meeting- Climate Change Impacts in AsiaICRISAT
Presentation by Dr Kesavarao AVR, Scientist, Agroclimatology, ICRISAT Development Center, Asia Regional Program, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) on 4 May 2016 at ICRISAT headquarters, Hyderabad, India. Presented at the Asia Regional Planning Meeting, ICRISAT, Patancheru
Dr. Alex Lindsey - Adverse Weather Conditions and Corn Management PracticesJohn Blue
Adverse Weather Conditions and Corn Management Practices - Dr. Alex Lindsey, OSU Crop Physiologist, from the 2020 Conservation Tillage and Technology Conference, held March 3-4, 2020, Ada, OH, USA.
Precision Agriculture for smallholder farmers: Are we dreaming?CIMMYT
Presentation delivered by Dr. Bruno Gerard (Global Conservation Agriculture Program, CIMMYT) at Borlaug Summit on Wheat for Food Security. March 25 - 28, 2014, Ciudad Obregon, Mexico.
http://www.borlaug100.org
Results presented in a Policy Workshop, January 22 in Kingston, Jamaica.
Project goals: (1) Identification of suitable climate proof cultivars for cocoa and tomato to increase resilience of Caribbean agriculture (2) Increase the dialogue between Cocoa and Tomato growers and researchers within the region (3) Inform of national climate compatible policies and risk communication strategies.
These slides are about how crop and weather are interlinked an d how their association can be an impressive tools in the hands of the creative minds of the scientific world.
Climate Change and Future Food Security: The Impacts on root and Tuber CropsACDI/VOCA
Background: Climate Sensitivity of Agriculture
Importance or Root Crops to Jamaican Food Security
Estimating Yields (Manually)- Yield vs. Climate Dilemma
Methodology: Tools and Approaches
Results: Parameterization, Future Production under Climate Change
Conclusions: Climate Smart Implications & Main lessons learnt
Presentation at the Montpellier CSA2015 conference by Robert Zougmoré, Program leader at the CCAFS West Africa Regional Program.
Read more about the conference: http://ccafs.cgiar.org/3rd-global-science-conference-%E2%80%9Cclimate-smart-agriculture-2015%E2%80%9D#.
http://www.icrisat.org/
By Bruce Campbell, Director, CGIAR Research Program on Climate Change, Agriculture and Food Security. Presented on 25 October 2013 at the Swedish University of Agriculture Sciences (SLU). Watch the recording at http://youtu.be/krBoz2uLUV8
Climate change and agriculture in Central America and the Andean regionIFPRI-PIM
PIM Webinar, January 29, 2020.
Climate change poses a threat to food security and nutrition, largely through its impacts on agricultural production. To help developing countries identify where adaptation measures are most needed, IFPRI, with support from the CGIAR Research Programs on Policy, Institutions, and Markets (PIM) and Climate Change, Agriculture, and Food Security (CCAFS), conducted a multiyear study to assess the potential impact of climate change on the agriculture sector through 2050, taking into account the likely landscape of political and economic challenges that policy makers will face. The study integrated results from climate and economic models, and included detailed biophysical and bioeconomic analyses of Guatemala, Honduras, El Salvador, Nicaragua, and Costa Rica in Central America and Colombia and Peru in the Andean region of South America.
Presenters and panelists:
Timothy Thomas, Research Fellow, International Food Policy Research Institute (IFPRI)
Deissy Martínez Barón, Regional Program Coordinator for Latin America, CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS)
Ana R. Rios, Natural Resources and Climate Change Senior Specialist, Inter-American Development Bank
More at http://bit.ly/ClimateChangeAgWebinar
In order to be able to adapt to climate change, bean producing smallholders in Central America have to know which type of changes and to which extent and ranges these changes will occur. Adaptation is only possible if global climate predictions are broken down on local levels, to give farmers a direction on what to adapt to, but also to provide detailed information about the extent of climate change impact and the exact location of the affected population to local, national, and regional governments and authorities, and the international cooperation/donors in order to coordinate and focus their interventions in the future. There will be people who will be more affected by climate change than others; some might have to leave the agricultural sector while others will have to change their whole operation. But there will be also new opportunities for those who will adapt quickly making them winners of changes in climate. This technical report seeks to assess the expected impact of climate change on bean production in 4 countries in Central America. We downscaled GCM (Global Climate Models) to a local scale, predicted future bean production using a dynamic crop model called DSSAT (Decision Support for Agro-technology Transfer), we identified based on the DSSAT-results 3 types of focus-spots where impact is predicted to be significant and run DSSAT again with the full range of available GCMs to address uncertainty of model predictions. Alongside this analysis we started a field trial using 10 bean varieties in 5 countries to calibrate DSSAT and run it in post-project-stage again in order to make assumptions on determining factors and possible breeding strategies. Outputs of downscaled climate data show that temperature is predicted to increase in the future, while precipitation will slightly reduce. Crop modeling shows that bean yields will decrease high along the dry corridor in Central America and Hot-Spots with more than 50% yield reduce could be identified in the study area. Based on the results we finally made recommendations for adaptation- and mitigation strategies which will be handed over to decision makers afterwards.
Internal seminar on the progress for the project Environmental characterization of crop wild relative pre-breeding environments, funded by The Crop Trust.
Fortalecimiento de capacidades para la producción, traducción, diseminación y uso efectivo de datos y perspectivas climáticas en el sector agropecuario en la región SICA.
Carlos Navarro-Racines
Evento de socialización de los logros alcanzados por CCAFS en Centroamérica en el marco de la gira del Grupo Técnico de Cambio Climático y Gestión Integral del Riesgo (GTCCGIR) del CAC.
Guatemala, diciembre 1, 2021
Servicios climáticos para la agricultura: Incorporando información agroclimática local en la toma de decisiones.
Feria Internacional del Medio Ambiente (FIMA)
Servicios climáticos para la agricultura: Incorporando información agroclimática local en la toma de decisiones
Webinar: Recursos De Información Para El Sector Agrícola En La Región De America Latina Y El Caribe.
Plataforma de Acción Climática en Agricultura de Latinoamérica y el Caribe (PLACA)
Presentación del Módulo 2 "El cambio climático, retos y desafíos para el desarrollo sostenible" del diplomado “El cambio climático y el sector agropecuario: desafíos y oportunidades para un desarrollo resiliente, con bajas emisiones y adaptado al clima en Centroamérica y República Dominicana.
Instituto Centroamericano de Administración Pública (ICAP)
En el marco del LXIV Foro del Clima de América Central y
el XLII Foro de Aplicaciones de los Pronósticos Climáticos
a la Seguridad Alimentaria y Nutricional
Academia Nacional de Servicios Climáticos - Guatemala
Diplomado en Ciencias del Clima y Servicios Climáticos del Sistema Guatemalteco de Ciencias del Cambio Climatico (SGCCC)
https://sgccc.org.gt/el-sgccc-es-el-anfitrion-del-diplomado-en-ciencias-del-clima-y-servicios-climaticos/
Navarro, C. Modelación climática; Cambio climático y agricultura
Clase para Curso de climatología de la Universidad de Ciencias Aplicadas y Ambientales (UDCA)
Abril 2021
Webinario: Modelación de cultivos para generar servicios
agroclimáticos (AquaCrop v.6)
LXI Foro del Clima de América Central
Jeferson Rodriguez Espinoza
Alejandra Esquivel
Carlos Navarro-Racines
J. Ramírez , D. Martínez, A. Martínez, J. Martínez, D. Giraldo, A. Muller, C. Bouroncle
Diplomado el enfoque territorios sostenibles adaptados al clima (TeSAC) en el corredor seco del oriente de Guatemala
Módulo 2 – Bloque 2 – Sesión 3
Carlos Navarro-Racines
E. Tünnermann, J. Ramírez, A. Martínez, J. Martínez
Diplomado “Inventario de Emisiones de Gases de Efecto Invernadero”, Universidad Nacional Agraria (UNA)
Módulo I Introducción. Procesos nacionales (políticas y convenios nacionales e internacionales)
Sesión 1 Introducción a la problemática del cambio climático global y observación de cambios
Importancia de los pronósticos aplicados al sector durante la crisis actual del COVID-19
XLI Foro de Aplicación de los Pronósticos Climáticos a la Seguridad Alimentaria y Nutricional: Perspectivas para el período Agosto - Octubre 2020 - 22 de julio del 2020
Presentación sobre las Mesas Técnicas Agroclimáticas en Centro América en el contexto de COVID-19, en el marco del webinar "Desafíos y oportunidades para alcanzar equidad de género en los servicios climáticos"
Training on Participatory Integrated Climate Services for Agriculture (PICSA) and Local Technical Agroclimatic Comittees (MTA / LTAC) to the DeRISK project team.
February 11 -19 2020, CIAT Hanoi, Vietnam
Conversatorio virtual - ¿Cómo pueden la Agricultura Sostenible Adaptada al Clima (ASAC) ayudar a mitigar los impactos en los sistemas agrícolas de América Latina debido al COVID-19?
Miércoles 20 de mayo de 2020
• ¿Qué estrategias alternativas podrían funcionar para diseminar información agroclimática? y ¿cómo estas pueden ser aprovechadas para diseminar información relacionada con el Covid -19?
• ¿Cuáles creen que serán las perspectivas a futuro en relación a la seguridad alimentaria de las comunidades rurales de América Latina dada la coyuntura de la pandemia?
• ¿Qué cultivos son clave para evitar una crisis de seguridad alimentaria en la región dada la coyuntura?
• ¿Cuáles creen que son las principales oportunidades para que los agricultores adopten prácticas de Agricultura Sostenible Adaptada al Clima? … ¿Cree que la situación actual de Covid- 19 aumenta estas oportunidades? y ¿Cómo?
• ¿Cómo asegurar que no se desvíen recursos que son fundamentales para el desarrollo de las comunidades rurales debido a la pandemia?
• ¿Cómo desde la ciencia podemos ayudar a mitigar las repercusiones económicas que enfrentan y/o enfrentarán los agricultores debido al Covid-19?
• ¿Cómo cambia la coyuntura actual la manera de hacer investigación agrícola? ¿Qué deberíamos cambiar?
• ¿Qué cambios supondrá la pandemia para la cadena de abastecimientos de alimentos de los países de América Latina?
• ¿Qué oportunidades se presentan para cambiar las relaciones de producción entre el campo y las ciudades a raíz de la pandemia?
More from Decision and Policy Analysis Program (20)
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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).
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
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Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Climate-smart, site-specific agriculture: reducing uncertainty on when, where and how to grow rice in Colombia
1. Climate-smart, site-specific agriculture: reducing uncertainty on when,
where and how to grow rice in Colombia
Daniel Jimenéz1 , Sylvain Delerce1, Hugo Andrés Dorado1, Maria Camila Rebolledo1 , Gabriel Garcés2, Edgar Torres1
1 International Center for Tropical Agriculture (CIAT), Cali, Colombia www.ciat.cgiar.org . 2Colombian National Rice Growers Association (FEDEARROZ), Bogotá, Colombia www.fedearroz.com.co
Contacts: d.jimenez@cgiar.org or s.delerce@cgiar.org
We used Conditional Inference Forest (CIF) models as introduced in (Strobl, 2008) to assess the
climatic variables importance in each region-cultivar. The specific relationship between main factor
and output variable was characterized using partial dependence plots. We used the Dynamic Time
Wrapping (DTW) distance for the clustering of climate patterns as it allowed us to work directly on
weather series. All analysis were run under R environment 3.1.2, using party, caret, and dtw
packages.
Limitingfactors
Traditional calendar landmarks are still used to make climate-related decisions such as what crop to
grow, where and when. Such approach is being challenged by the increasing climate variability
(Timmerman, 1999) that makes climate less predictable. In the last five years, national average rice
yields have dropped in Colombia (from 6t/ha in irrigated rice before 2009 to 5t/ha today) and rice
growers have not managed to recover since then.
New approaches are required to provide growers associations and farmers with updated and relevant
information that can support the decision making process and make them more resilient to climate
variability.
Novel use of ICTs and the possibility of following the principles of Big-Data for capturing, analyzing
and sharing large amounts of information in agriculture offer an alternative to approaches based on
small scale studies.
Explained
variability
We merged three pre-existing commercial cropping
events databases from Fedearroz conserving the
following variables:
Cultivarresponseto
limitingfactors
Inside each cluster, cultivars performed differently. Under cluster 6 conditions, no significant
differences appear between cultivars: no signal in the data. Under cluster 5 conditions, cultivar
Lagunas significantly yield less than cultivars F60 or F473.
We combined the two information based on the
actual sowing and harvest dates of each record.
Nine indicators were calculated for each growth
stage. These were our input variables for
empirical modelling of yield variability.
We obtained original daily weather records from
IDEAM for 5 variables:
The variable exhibit a non-linear
negative relationship with a break
point around 22°C
The variable exhibit a positive relationship
indicating that frequent rains are required
to achieve higher yields.
Potential
users
of the results
Farmers
Efficient - Optimize
management to bridge
the yield gap
Resilient - get relevant
information on climate
patterns to make better
decisions on what crop to
grow, when and where
Extensionists,
Rural advisors
Modern – take
advantage of data-driven
approach to extract more
value form data, and
make site-specific
recommendations
Breeders
Specific - benefit from
direct feedback on the
actual behavior of
cultivars in commercial
field conditions to speed-
up breeding processes
and design site-specific
cultivars
Models performed differently depending on the cultivar. The R-squared commonly
interpreted as an indication of the fraction of explained variance varied from 4.5% for
Lagunas to 59.2% for Cimarron Barinas. On average, models explain between 30-40% of the
variance, which coincide with (Ray, 2015). Differences between cultivars give an idea of their
relative sensitivity to climate conditions. Main limiting factors also changed from one cultivar
to another giving a glimpse at the cultivar specific G*E interaction.
Cultivar F174 in Villavicencio
134 observations | R2= 28.8%
Cultivar Lagunas in Saldaña | 187 observations |R2= 4.5%
Climate patterns
exhibit different
potentials for rice
cropping.
Yield objective
may be adjust on
farms according
to the forecasted
pattern.
Favorable/unfavorable
climatepatterns
120 days daily weather for 5 variables
Locality Variety Cropping system
Sowing & harvest dates Yield
Maximum T°C Minimum T°C
Precipitation Relative humidity
Solar energy
Cultivar Cimarron Barinas in Espinal
180 observations | R2= 59.2%
Main limiting factor’s partial plot:
Average minimum temperature in
ripening stage
Main limiting factor’s partial plot:
Frequency of significant (>10mm)
rainfalls in vegetative stage
Yield
Yield
• The re-analysis of desegregated commercial crops data and its combination with daily weather records series
proved to be able to quickly generate useful insights for farmers, rural advisors and breeders:
o main climatic limiting factors were identified for each cultivar in different regions,
o The relationships of predictors with yield were characterized using partial plots
o Favorable and unfavorable climate patterns were detected and differences could be observed in cultivars
performances
• Results of the climate patterns clustering can be matched to seasonal forecasts, learning form past
experiences to anticipate near future.
• This study is the first step towards a complete data-driven decision support system for farmers in Latin
America that will also include soil and crop management factors.• Ray, D. K., Gerber, J. S., Macdonald, G. K., & West, P. C. (2015). Climate variation explains a third of
global crop yield variability. Nature Communications, 6, 1–9. doi:10.1038/ncomms6989
• Strobl, C., Boulesteix, A., Kneib, T., Augustin, T., & Zeileis, A. (2008). Conditional variable
importance for random forests. BMC Bioinformatics, 11, 1–11. doi:10.1186/1471-2105-9-307
• Timmermann, A., Oberhuber, J., Bacher, A., & Esch, M. (1999). Increased El Niño frequency in a
climate model forced by future greenhouse warming. Nature, 398(June 1982), 1996–1999.
The authors acknowledge the willingness of Fedearroz and IDEAM to share their data and the Colombian
Ministry of agriculture and CCAFS for funding this study.
Introduction
Results
Data
Methods
Conclusions
References
Acknowledgments