Are you over 18 and want to see adult content?
More Annotations
![A complete backup of https://salaopaixao.com.br](https://www.archivebay.com/archive6/images/48be6f59-ddc6-4dbc-b432-30f4953531d5.png)
A complete backup of https://salaopaixao.com.br
Are you over 18 and want to see adult content?
![A complete backup of https://sarkarijob.io](https://www.archivebay.com/archive6/images/e94c79f6-f37e-4858-9595-430cc5816c6b.png)
A complete backup of https://sarkarijob.io
Are you over 18 and want to see adult content?
![A complete backup of https://innopaints.com](https://www.archivebay.com/archive6/images/6a368ef2-d52b-43cc-afe2-4e8c1be4762c.png)
A complete backup of https://innopaints.com
Are you over 18 and want to see adult content?
![A complete backup of https://ghanamma.com](https://www.archivebay.com/archive6/images/13246d06-08f7-4024-83b4-b8124eb87819.png)
A complete backup of https://ghanamma.com
Are you over 18 and want to see adult content?
![A complete backup of https://khosangothanhhoa.com](https://www.archivebay.com/archive6/images/c9e1c139-a558-422f-81e0-1a0f40a72443.png)
A complete backup of https://khosangothanhhoa.com
Are you over 18 and want to see adult content?
![A complete backup of https://alofthobbies.com](https://www.archivebay.com/archive6/images/1220eaad-d7f3-4483-973e-6a213d01a9f5.png)
A complete backup of https://alofthobbies.com
Are you over 18 and want to see adult content?
![A complete backup of https://tele2.ee](https://www.archivebay.com/archive6/images/f5cfba65-c7c0-433f-86ac-1bcece51311d.png)
A complete backup of https://tele2.ee
Are you over 18 and want to see adult content?
![A complete backup of https://powerpro.com](https://www.archivebay.com/archive6/images/dc1cabc4-1f53-4750-a954-4e34b2033033.png)
A complete backup of https://powerpro.com
Are you over 18 and want to see adult content?
![A complete backup of https://masquenegocio.com](https://www.archivebay.com/archive6/images/33535448-270f-4894-9d70-2f5bdab987c7.png)
A complete backup of https://masquenegocio.com
Are you over 18 and want to see adult content?
![A complete backup of https://kvb.koeln](https://www.archivebay.com/archive6/images/6cef3064-108b-45ef-90bb-381de508bc2f.png)
A complete backup of https://kvb.koeln
Are you over 18 and want to see adult content?
![A complete backup of https://vehement.in](https://www.archivebay.com/archive6/images/539f9841-b09e-4d1e-8117-8d9a5d21b018.png)
A complete backup of https://vehement.in
Are you over 18 and want to see adult content?
![A complete backup of https://asianetnews.com](https://www.archivebay.com/archive6/images/3e3eb0dc-1743-42b5-ad16-afe79e310551.png)
A complete backup of https://asianetnews.com
Are you over 18 and want to see adult content?
Favourite Annotations
![A complete backup of https://c-monetiquette.fr](https://www.archivebay.com/archive6/images/96988867-4869-4b99-8c32-7b23f27b635d.png)
A complete backup of https://c-monetiquette.fr
Are you over 18 and want to see adult content?
![A complete backup of https://ncube.com](https://www.archivebay.com/archive6/images/c7e188ae-0f5c-4e8a-810e-106325407825.png)
A complete backup of https://ncube.com
Are you over 18 and want to see adult content?
![A complete backup of https://haacht.com](https://www.archivebay.com/archive6/images/17bbb523-bb2f-47d0-a7b5-d8c846484960.png)
A complete backup of https://haacht.com
Are you over 18 and want to see adult content?
![A complete backup of https://demeerse.nl](https://www.archivebay.com/archive6/images/5ca8fb9b-510e-473b-8d33-36c75ca64d38.png)
A complete backup of https://demeerse.nl
Are you over 18 and want to see adult content?
![A complete backup of https://steinberg.help](https://www.archivebay.com/archive6/images/29f4ae43-5056-4536-905c-8e1ad9fb32e4.png)
A complete backup of https://steinberg.help
Are you over 18 and want to see adult content?
![A complete backup of https://indyproject.org](https://www.archivebay.com/archive6/images/5ba3647c-e966-4f74-bea9-fcc831543c21.png)
A complete backup of https://indyproject.org
Are you over 18 and want to see adult content?
![A complete backup of https://camlab.co.uk](https://www.archivebay.com/archive6/images/b8ef5696-165d-4cce-9fdd-0a6f355bc0f0.png)
A complete backup of https://camlab.co.uk
Are you over 18 and want to see adult content?
![A complete backup of https://onespan.com](https://www.archivebay.com/archive6/images/5eb9e437-e825-4b8a-b1ff-794dc42e8a58.png)
A complete backup of https://onespan.com
Are you over 18 and want to see adult content?
![A complete backup of https://pablo3.com](https://www.archivebay.com/archive6/images/d6fb4094-2d44-4da4-ac64-f582e5d553a5.png)
A complete backup of https://pablo3.com
Are you over 18 and want to see adult content?
![A complete backup of https://sfs-stuttgart.de](https://www.archivebay.com/archive6/images/b23b8c93-a7bb-4ffb-829a-764eff700e87.png)
A complete backup of https://sfs-stuttgart.de
Are you over 18 and want to see adult content?
![A complete backup of https://scheideanstalt.de](https://www.archivebay.com/archive6/images/667da2d8-cc5f-4ffc-ba6c-f5fc2c21d314.png)
A complete backup of https://scheideanstalt.de
Are you over 18 and want to see adult content?
Text
MAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newDSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
PLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newDSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
PLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchersSOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.Y DSSAT 2021 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 17-22, 2021 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers SOIL WATER - DSSAT.NET All DSSAT models share the soil water balance subroutine. On a daily basis, the soil water balance is computed by adding irrigation and rainfall and subtracting surface runoff, drainage, plant transpiration, and soil evaporation. Within a soil column, soil water is redistributed by vertical drainage, capillary rise, and tillage. Rainfall is supplied as a userDSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
DSSAT SOURCE CODE NOW FULLY OPEN The DSSAT community is committed to promoting development of all DSSAT models and software tools as open source projects. As of December, 2019, the DSSAT Cropping System Model (CSM) code is fully open and accessible via GitHub under the BSD 3-Clause “New” or “Revised” License.This license is similar to the BSD 2-Clause License, but with a 3rd clause that prohibits others from usingDEVELOPMENT TEAM
Core Development Team The core development team of DSSAT currently includes a small group of scientists from the University of Florida and the International Fertilizer Development Center. The core development team is coordinated by: Gerrit Hoogenboom, University of Florida Cheryl Porter, University of Florida Ken Boote, University of Florida Vakhtang Shelia, University of FloridaCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toSOILS ARCHIVES
By Cheryl Porter • January 19, 2018 • Data, FAQs, Soils •. There are 3 methods of dealing with soil layers in DSSAT, controlled by MESOL in simulation controls: MESOL = 1: old DSSAT method of forcing soil layer thicknesses to be 5, 10, 15, 15, 15, 30, 30, 30, 60, 60, 60 cm thick. Soil properties are blended when user input layers are MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.Y CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parameters MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.Y CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parameters MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
DATA STANDARDS
Data Standards. Agricultural research increasingly seeks to quantify complex interactions of processes for a wide range of environmental conditions and crop management scenarios, leading to investigation where multiple sets of experimental data are examined using tools such as simulation and regression. The use of standard data formats forDSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
CENTURY (PARTON) SOIL ORGANIC MATTER MODULE Figure 1. Soil organic carbon pools for the DSSAT-CENTURY model. The Century organic matter module maintains three soil organic matter (SOM) pools and two pools of fresh organic matter (FOM or litter) both in and on top of the soil:• SOM1—microbial or active material,• SOM2—recalcitrant material (e.g., derived from lignin, cell walls),decomposed SOM1 and
CERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toDSSAT VERSION 3
dssat v3 volume 3-1 seasonal analysis volume 3-2 sequence analysis volume 3-3 weatherman volume 3 volume 3-4 genotype coefficientcalculator
MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
ADVANCES IN CROP MODELLING FOR A SUSTAINABLE This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers. Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and CONVERTING WISE 1.1 SOIL PROFILE DATABASE FOR CROP MODELS Converting WISE 1.1 Soil Profile Database for Crop Models. Biophysical models are commonly used in ecosystem impact assessment studies at different temporal and spatial scales, and their results implicate decisions on the overall system at multiple levels—from micro-scale natural resource management to country- or regional-scale policydecisions.
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newDSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
PLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newDSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
PLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
WEATHER DATA RESOURCES Climate Engine: The Climate Engine Application was created to enable users to quickly process and visualize satellite earth observations and gridded weather data for environmental monitoring and to improve early warning of drought, wildfire, and crop-failure risk. It includes options for downloading modeled daily weather data variables for user DSSAT 2021 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 17-22, 2021 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers SOIL WATER - DSSAT.NET All DSSAT models share the soil water balance subroutine. On a daily basis, the soil water balance is computed by adding irrigation and rainfall and subtracting surface runoff, drainage, plant transpiration, and soil evaporation. Within a soil column, soil water is redistributed by vertical drainage, capillary rise, and tillage. Rainfall is supplied as a userCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toSUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parametersTHE TILLAGE MODULE
The Tillage Module. Tillage is an important procedure for modifying the soil environment to enhance crop growth and conserve soil and water resources.CSM simulates tillage and related field operations for single seasons or multiple years. The approach is based on procedures first developed by Dadoun (1993) as the CERES-Till model for maize and MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
DSSAT VERSION 3
dssat v3 volume 3-1 seasonal analysis volume 3-2 sequence analysis volume 3-3 weatherman volume 3 volume 3-4 genotype coefficientcalculator
ADVANCES IN CROP MODELLING FOR A SUSTAINABLE This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers. Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newDSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
PLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
DSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDATA STANDARDS
CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
HOW TO USE THE MODEL Then Click on the Run option on top of the DSSAT panel next to the lightning bold. A new window will open that will show all treatments that will be simulated. Select Run Model and the Cropping System Model of DSSAT will run in the background, starting at planting or the start of simulation date and ending when the model predicts harvestCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toSUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parametersTHE TILLAGE MODULE
The Tillage Module. Tillage is an important procedure for modifying the soil environment to enhance crop growth and conserve soil and water resources.CSM simulates tillage and related field operations for single seasons or multiple years. The approach is based on procedures first developed by Dadoun (1993) as the CERES-Till model for maize andUPCOMING WORKSHOP
Business hours are 8 am-5 pm, M-F. Payment is by personal or cashier’s check, money order, credit card or cash. By telephone: Our telephone number is 1-770-229-3477. Payment is by credit card only. By fax: Fill out, print and fax your registration form (pdf) to (770) 233-6180. Payment is by credit card only. Online: Click here toregister online.
DSSAT VERSION 3
dssat v3 volume 3-1 seasonal analysis volume 3-2 sequence analysis volume 3-3 weatherman volume 3 volume 3-4 genotype coefficientcalculator
MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
ADVANCES IN CROP MODELLING FOR A SUSTAINABLE This collection summarises key advances in crop modelling, with a focus on developing the next generation of crop and whole-farm models to improve decision making and support for farmers. Chapters in Part 1 review advances in modelling individual components of agricultural systems, such as plant responses to environmental conditions, crop growth stage prediction, nutrient and MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
CONVERTING WISE 1.1 SOIL PROFILE DATABASE FOR CROP MODELS Converting WISE 1.1 Soil Profile Database for Crop Models. Biophysical models are commonly used in ecosystem impact assessment studies at different temporal and spatial scales, and their results implicate decisions on the overall system at multiple levels—from micro-scale natural resource management to country- or regional-scale policydecisions.
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parameters JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
SOIL DATA RESOURCES
Hoogenboom, G., C.H. Porter, K.J. Boote, V. Shelia, P.W. Wilkens, U. Singh, J.W. White, S. Asseng, J.I. Lizaso, L.P. Moreno, W. Pavan, R. Ogoshi, L.A. Hunt, G.YDSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parameters JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia DSSAT IS SUPPORTED BY DSSAT Is Supported By. We are very grateful to all the scientists associated with the institutes, universities and other organizations listed below who have participated in one or more DSSAT Development Sprints and have provided other support. If you are interested in becoming a new supporter or if you would like to improve an existingmodule
DATA STANDARDS
Data Standards. Agricultural research increasingly seeks to quantify complex interactions of processes for a wide range of environmental conditions and crop management scenarios, leading to investigation where multiple sets of experimental data are examined using tools such as simulation and regression. The use of standard data formats forCERES-WHEAT
Bread and durum wheat may be simulated using the CERES-Wheat model, whose origins trace back to modeling efforts of Joe Ritchie and colleagues in the 1970s (Ritchie et al., 1984). Growth is modeled via a radiation use efficiency approach. Development is potentially affected both by temperature and daylength. The temperature effects includes a response toDSSAT VERSION 3
dssat v3 volume 3-1 seasonal analysis volume 3-2 sequence analysis volume 3-3 weatherman volume 3 volume 3-4 genotype coefficientcalculator
CENTURY (PARTON) SOIL ORGANIC MATTER MODULE Figure 1. Soil organic carbon pools for the DSSAT-CENTURY model. The Century organic matter module maintains three soil organic matter (SOM) pools and two pools of fresh organic matter (FOM or litter) both in and on top of the soil:• SOM1—microbial or active material,• SOM2—recalcitrant material (e.g., derived from lignin, cell walls),decomposed SOM1 and
MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
CONVERTING WISE 1.1 SOIL PROFILE DATABASE FOR CROP MODELS Converting WISE 1.1 Soil Profile Database for Crop Models. Biophysical models are commonly used in ecosystem impact assessment studies at different temporal and spatial scales, and their results implicate decisions on the overall system at multiple levels—from micro-scale natural resource management to country- or regional-scale policydecisions.
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
DATA STANDARDS
DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parametersCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT.NET - OFFICIAL HOME OF THE DSSAT CROPPING SYSTEMS MODELABOUTMODELAPPLICATIONSTOOLS & DATATRAININGDEVELOPMENT DSSAT International Training Workshop 2021 May 17-22, 2021 (Updated) The University of Georgia at Griffin, Georgia, USA. Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modulesMAIN DOWNLOAD
Official DSSAT V4.7.5 DSSAT v4.7.5 can be downloaded from this site. We gather some information from you and assign a unique serial number to your copy. Request your copy of DSSAT v4.7.5 here. CRAFT The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) has initiated the development of a newPLANT MODULE
Plant Module. The original crop models of DSSAT were CERES-Maize, CERES-Wheat, SOYGRO, and PNUTGRO. These models evolved over time from many independent models to become a single agricultural systems model that encompasses all the original crop models as individual crop modules (Jones et al., 2001). New crop modules are added to DSSAT viatwo
DATA STANDARDS
DSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahia CRAFT DOWNLOAD SYSTEM CRAFT. The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently, the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools.SUBSTOR-POTATO
SUBSTOR-Potato simulates the daily dynamics of water, nitrogen, biomass, phenology, and tuber yield accumulation of poato (Solanum tuberosum). The models of soil water and soil N dynamics used in the SUBSTOR-Potato are capacity type. The model recognizes five developmental stages (pre-planting, sprout elongation, emergence, tuber initiation, and maturity). Five genotype-specific parametersCSM-CERES-SORGHUM
The current CERES-Sorghum model is based on the model first described by Joe Ritchie and colleagues in an ICRISAT modeling workshop report (Virmani et al., 1989). The model uses light interception and radiation use efficiency (RUE) to estimate daily growth, which is then partitioned to different organs based on factors that vary with growthstage.
DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
DSSAT FOUNDATION
DSSAT. The Decision Support System for Agrotechnology Transfer (DSSAT) is a software application program that comprises crop simulation models for over 42 crops (as of Version 4.7.5) as well as tools to facilitate effective use of the models. The tools include database management programs for soil, weather, crop management andexperimental data
WEATHER DATA RESOURCES Climate Engine: The Climate Engine Application was created to enable users to quickly process and visualize satellite earth observations and gridded weather data for environmental monitoring and to improve early warning of drought, wildfire, and crop-failure risk. It includes options for downloading modeled daily weather data variables for userDSSAT V4.7 RELEASED
DSSAT v4.7 can now be requested from the DSSAT portal at www.DSSAT.net. This version was released at two international training workshops in Sakon Nakhon, Thailand (August 20-25, 2017) and Polomolok, South Cotabato, Philippines (November 6-10, 2017). New capabilities have been added since v4.6.1: New crop models: Perennial forage model (PRFRM) – bermudagrass, brachiaria, bahiaTHE TILLAGE MODULE
The Tillage Module. Tillage is an important procedure for modifying the soil environment to enhance crop growth and conserve soil and water resources.CSM simulates tillage and related field operations for single seasons or multiple years. The approach is based on procedures first developed by Dadoun (1993) as the CERES-Till model for maize andDEVELOPMENT TEAM
Core Development Team The core development team of DSSAT currently includes a small group of scientists from the University of Florida and the International Fertilizer Development Center. The core development team is coordinated by: Gerrit Hoogenboom, University of Florida Cheryl Porter, University of Florida Ken Boote, University of Florida Vakhtang Shelia, University of FloridaCSM-CERES-RICE
CSM-CERES-Rice. Rice ( Oryza sativa, also African rice, O. glaberrima) is the most important staple food for most of the world and it is especially important in Asia. Unlike sugar cane and maize, the two crops with higher global production, rice is primarily consumed directly as food. Thus, it occupies a uniquely critical position forglobal
JAWOO KOO, AUTHOR AT DSSAT.NET Ömer tells us his thesis in 3 minutes. By Jawoo Koo • May 5, 2017 • Blog, Everything Else •. Ömer Vanlı is a GIS researcher at Agricultural Monitoring and Information System in Istanbul Technical University. Turkey. In this video clip Ömer explains the important of crop growth models and DSSAT in three minutes. Enjoy! MARKSIM STANDALONE FOR ADVANCED DSSAT USERS The standalone version is designed for computer users that need to process a large amount of data in a batch process. Same as the MarkSimGCM, MarkSim Standalone can be used to generate weather data from six GCM model results and three SRES scenarios, along with an ensemble of the six GCM’s. MarkSim Standalone is specificallydesigned to be
MINIMUM DATA REQUIREMENTS FOR CROP MODELING CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
CONVERTING WISE 1.1 SOIL PROFILE DATABASE FOR CROP MODELS Converting WISE 1.1 Soil Profile Database for Crop Models. Biophysical models are commonly used in ecosystem impact assessment studies at different temporal and spatial scales, and their results implicate decisions on the overall system at multiple levels—from micro-scale natural resource management to country- or regional-scale policydecisions.
DSSAT.NET
Official Home of the DSSAT Crop Systems Model* About »
* DSSAT Overview
* Mailing List
* Workshops
* Contact Us
* Model & Applications »* Overview
* Model Components
* How To Use the Model * Model Application Examples* Model Evaluation
* Tools »
* Supporting Tools
* For Power Users
* Data »
* Minimum Data
* Data Resources »
* Crop
* Soils
* Weather
* Links
* ICASA Data Standards* Training »
* Getting Started
* Past Workshops
* Upcoming Workshop
* Key Publications
* Development »
* Overview
* History
* Development Team
* Open Source
* DSSAT Development Sprints* Modular Approach
* Download »
* DSSAT v4.7.5
* CRAFT v3.4
* News&Blog »
* News & Event
* Blog
* Support »
* FAQs
* Mailing List
* Contact Us
DSSAT V4.7.5
Latest Version: 4.7.5 (April 2019) | _Free of charge!_DSSAT
INTERNATIONAL TRAINING WORKSHOP 2020MAY 18-23, 2020
THE UNIVERSITY OF GEORGIA AT GRIFFIN, GEORGIA, USA _Jointly presented by the DSSAT Foundation, University of Florida, University of Georgia, and the International Fertilizer Development Center – the workshop will cover the operation of DSSAT Version 4.7.5, description of the DSSAT-Cropping System Model, CSM and its modules, and the science embedded in the models, minimum data requirements and experimental data collection for systems simulation, integration of crop simulation models with database management and GIS, and the application of the DSSAT-CSM model to improve management of cropping systems._ Learn more about the workshopWorkshop Brochure
DSSAT 2019 @ PAKISTAN PMAS Arid Agriculture University, Rawalpindi, PakistanSep 4-5, 2019
DSSAT 2019 @ THAILAND Chiang Mai University in Chiang Mai, Thailand August 19th – August 24th, 2019WEBINAR
DATE: 29 August 2019 TIME: 08:30-9:30 AM Eastern Time 11TH DSSAT DEVELOPMENT SPRINT IFDC | July 15-19, 2019DSSAT 2019
May 20-25, 2019. University of Georgia, Griffin.AMEI WORKSHOP
University of Florida, April 9-11, 2019 DSSAT 2019 @ VIETNAM Hotel Fortuneland, Can Tho City, VietnamMarch 5-9, 2019
CROSS-CONTINENTAL DISEASE AND CROP MODELING COLLABORATIONS TO BEATBACK WHEAT BLAST
Cross-continental collaborations facilitated by the CGIAR Platform for Big Data in Agriculture thrive to beat back the threat of wheat blast in Brazil and Bangladesh. Wheat blast disease is a major threat to smallholder farmers. The disease was first discovered in Brazil in 1985. Decades
later it escaped from South America when it crept its way across the ocean and appeared in Bangladesh in 2016. Wheat blast outbreaks are linked to the right climate conditions. More accurate weather forecasts, coupled with disease models are key for farmers to adapt to the threat of the disease. Effective forecasting and warning systems can also help farmers avoid unnecessary fungicide use, thereby saving them money and reducing environmental risks. Because the disease is new, knowledge of wheat blast epidemiology and modeling was limited in Bangladesh. That’s why scientists at the International Maize and Wheat Improvement Center (CIMMYT) reached out to Professor Jose Mauricio Fernandes, a Crop Pathologist, and Mr. Felipe de Vargas, a Computer Scientist, within the Universidade de Passo Fundo (UPF) in Brazil… Read more… GARDIAN AND FACILITATING DATA INTEROPERABILITY AT CGIAR The CGIAR online search engine, GARDIAN, is easy to navigate and to perform simple queries to locate data and publications; however, there is a challenge to making these data useable on a large scale. There is a major gap between the potential value of data collected in agricultural experiments and the value currently obtained through the use of those data. Typically, data collected in experiments are used for the original research purpose only, but a much greater value might be obtained if the data could be combined across locations, time, and management conditions. Combinations of large datasets could enable scientific advances in such areas as genetic modeling, management optimization, and variety selection, and may potentially reduce the need for collection of additional field experimental data. The CGIAR research centers generate large amounts of data, which could gain value through the application of the FAIR (Findable, Accessible, Interoperable, Reusable) principles, particularly for data which are suitable for quantitative analyses.Read more…
ICROPM2020
10TH DSSAT DEVELOPMENT SPRINT University of Florida | January 07-11, 2019 DSSAT 2018 @ JAMAICA University of the West Indies | July 16-27, 2018 9TH DSSAT DEVELOPMENT SPRINT University of Arizona | July 09-13, 2018CRAFT: A
NEW SPATIAL YIELD FORECASTING TOOL The CCAFS Regional Agricultural Forecasting Toolbox (CRAFT) is a software platform designed for yield forecasting at spatial resolutions of either 5 or 30 arc-minutes using an ensemble modeling approach. Currently the DSSAT, APSIM, and SARRA-H crop simulation models have been implemented for nine important food and feed crops using the AgMIP IT tools. CRAFT was an initiative of CCAFS and was developed in partnership with the Asia Risk Center, Washington State University, and the University ofFlorida.
Read More about CRAFT Download CRAFT v3.4GLOBALLY
RECOGNIZED UF/IFAS CROP-MODEL RESEARCHER WINS NATIONAL SOIL SCIENCEAWARD
NOVEMBER 7, 2017
A University of Florida professor has received a top award from the Soil Science Society of America for helping to develop and apply practices that increase crops, income and help the environment. The L.R. Ahuja Ag Systems Modeling Award goes to a soil scientist, agronomist or crop scientist in recognition of distinguished contributions and their demonstrated impact in the past five to sevenyears.
“It was a great honor to be recognized for my work in crop modeling and decision-support systems,” said Gerrit Hoogenboom, a UF/IFAS professor of agricultural and biological engineering and a preeminent scholar at the UF/IFAS Institute for Sustainable Food Systems. Read more about the Award ICASA DATA STANDARDS VERSION 2.0 Researchers increasingly seek to integrate results from multiple experiments. The ICASA V2.0 standards allow flexible description of field experiments. Major categories of data are management, soil, weather and crop responses. The standards may be implemented in diverse digital formats. Planned improvements emphasize data quality and appropriate usage. Access at ScienceDirectDownload in PDF
IMPROVING SOIL FERTILITY RECOMMENDATIONS IN AFRICAThe
new book gives a detailed description of the application of DSSAT in simulating crop and soil processes within various Agro-ecological zones in Africa. The book provides examples of the application of DSSAT models to simulate nitrogen applications, soil and water conservation practices including effects of zai technology, phosphorus and maize productivity, generation of genetic coefficients, long-term soil fertility management technologies in the drylands, microdosing, optimization of nitrogen x germplasms x water, spatial analysis of water and nutrient use efficiencies and, tradeoff analysis.Read Online
Buy at Amazon
PrevNext
* 1
* 2
* 3
* 4
* 5
* 6
* 7
* 8
* 9
* 10
* 11
* 12
* 13
* 14
* 15
* 16
* 17
* 18
* 19
WHAT IS DSSAT?
Decision Support System for Agrotechnology Transfer (DSSAT) is software application program that comprises dynamic crop growth simulation models for over 40 crops. DSSAT is supported by a range of utilities and apps for weather, soil, genetic, crop management, and observational experimental data, and includes example data sets for all crop models. The crop simulation models simulate growth, development and yield as a function of the soil-plant-atmosphere dynamics. DSSAT has been used for many applications ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate change. DSSAT has been in use for more than 30 years by researchers, educators, consultants, extension agents, growers, private industry, policy and decision makers, and many others in over 150 countries worldwide. Learn more…16
Sep
DSSAT 2019 @ PAKISTAN By DSSAT • September 16, 2019 • News & Event , PastWorkshops •
Leave a comment
Hands-on Training workshop with titled “Climate Change Impact Assessment and Adaptation Strategies for Wheat and Groundnut Production Using Decision Support System” was organized by Department of Agronomy, PMAS Arid Agriculture University, Rawalpindi, Pakistan on 4th to 5th September 2019. The goal of the training workshop is to develop capacity building of scientists, researchers and post-graduate students Continue Reading →02
Sep
DSSAT 2019 @ THAILAND By DSSAT • September 2, 2019 • News & Event , PastWorkshops •
Leave a comment
The DSSAT and MWCropDSS 2019 International Training Program entitled “Efficient and precision agricultural resource utilization under changes with simulation models and GIS” was successfully held from August 19 through August 24, 2019 at Chiang Mai University in Chiang Mai, Thailand. This workshop was jointly presented by Chiang Mai University, The University of Florida, and the Continue Reading →27
Aug
ASK GERRIT AND CHERYL ANYTHING ABOUT DSSAT By DSSAT • August 27, 2019 • News & Event , Showcase, Tools
• Leave a comment
The crop models in Decision Support System for Agrotechnology Transfer (DSSAT) simulate growth, development, and yield as a function of the soil-plant-atmosphere dynamics. For more than 30 years, DSSAT has been used for many applications ranging from genetic modeling to on-farm and precision management to regional assessments of the impact of climate variability and climate Continue Reading →18
Jul
INTERNATIONAL DSSAT TRAINING WORKSHOP IN SOUTH AFRICA By DSSAT • July 18, 2019 • Workshops • Leave a comment The Agricultural Research Council of South Africa will be hosting an International Crop Modeling Training Workshop on DSSAT in collaboration with the University of Florida and the DSSAT Foundation. The workshop will be held from September 30th to October 4th, 2019 at the ARC Offices in Pretoria, preceding the 35th Annual Conference of the South African Continue Reading →18
Jul
11TH DSSAT DEVELOPMENT SPRINT AT IFDC By DSSAT • July 18, 2019 •Past Workshops ,
Workshops • 1 Comment The 11th DSSAT Development Sprint was held from July 15-19, 2019, at the International Fertilizer Development Center (IFDC) in Muscle Shoals, Alabama. One of the main goals of the DSSAT Development Sprints is to improve both the science and the tools of the DSSAT crop modeling ecosystem using a “hackathon” approach. Significant achievements and outcomes Continue Reading →15
Jul
MINIMUM DATA REQUIREMENTS FOR CROP MODELING By DSSAT • July 15, 2019 • News & Event • 1 Comment CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – Minimum Data Requirements for Crop Modeling – Recorded Live on June 18th, 2019. Modelers are often frustrated because much of the research information available in crop data sets worldwide is either not in model-friendly format orlacking key
Continue Reading →15
Jul
DSSAT 2019 INTERNATIONAL TRAINING PROGRAM AT THE UNIVERSITY OF GEORGIA By DSSAT • July 15, 2019 •Past Workshops ,
Workshops • Leave a comment DSSAT Foundation – The University of Georgia – Griffin Campus, Griffin, Georgia USA Scientists from across the world met from May 20-25, 2019 on the University of Georgia Griffin Campus to learn about the latest version of the Decision Support System for Agrotechnology Transfer (DSSAT) computer software program. The DSSAT crop modeling ecosystem helps researchers Continue Reading →1 2 … 17 Next
→
REQUEST DSSAT V4.7.5 DSSAT v4.7.5 is here. Request to download your own copy today! Download DSSAT v4.7.5 DSSAT 2020 INTERNATIONAL TRAINING PROGRAM The University of Georgia – Griffin CampusMay 18-23, 2020
Learn More
CONTACT US
Feel free to drop us a message! Any feedback/comment is welcome.Contact Us
REQUEST CRAFT V3.4
Request to download your own copy of CRAFT v3.4 today!Download CRAFT v3.4
DSSAT MAILING LIST
Great place to ask general DSSAT questions and to share news and announcements! Learn more...Name *
First
Last
Email *
Phone
Submit
Message Archive
DSSAT FOUNDATION, INC., 2019* About DSSAT
* Download DSSAT
* Workshops
* Mailing List
* Feedback
HOW TO CITE DSSAT
* Hoogenboom, G., C.H. Porter, V. Shelia, K.J. Boote, U. Singh, J.W. White, L.A. Hunt, R. Ogoshi, J.I. Lizaso, J. Koo, S. Asseng, A. Singels, L.P. Moreno, and J.W. Jones. 2019. Decision Support System for Agrotechnology Transfer (DSSAT) Version 4.7.5 (https://DSSAT.net). DSSAT Foundation, Gainesville, Florida, USA. * Jones, J.W., G. Hoogenboom, C.H. Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J. Gijsman, and J.T. Ritchie. 2003. DSSAT Cropping System Model. European Journal of Agronomy 18:235-265.Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0