Africa RISING Dataverse

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Africa Research in Sustainable Intensification for the Next Generation (Africa RISING): As part of the US government’s Feed the Future initiative to address global hunger and food security issues in Africa south of the Sahara, the US Agency for International Development (USAID) is supporting three multi-stakeholder agricultural research projects to sustainably intensify key African farming systems. The overall aim is to transform agricultural systems through sustainable intensification projects in West Africa and East and Southern Africa, led by the International Institute of Tropical Agriculture (IITA) and in Ethiopian Highlands, led by the International Livestock Research Institute (ILRI). The International Food Policy Research Institute leads the program’s monitoring, evaluation and impact assessment.

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91 to 100 of 1,370 Results

Madina_WX.tab Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum Tabular Data - 29.2 KB - 8 Variables, 730 Observations - UNF:6:8ynEFqplr/LV7iNvxm3u2Q== Data
M'pessoba_WX.tab Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum Tabular Data - 29.2 KB - 8 Variables, 730 Observations - UNF:6:D+0vH5P3RbAW5GxeSXOR5w== Data
Readme.txt Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum Plain Text - 811 B - MD5: 7d119ca9acdecccd2ebb9775501401f1 Documentation
SMK_17_18.tab Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum Tabular Data - 20.3 KB - 13 Variables, 240 Observations - UNF:6:WSkKhKy5osJjL35C0KLbxA== Data
Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania Oct 6, 2023 Tanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma, 2023, "Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania", https://doi.org/10.7910/DVN/JKIU3B, Harvard Dataverse, V1, UNF:6:0SQQy+RS+JE3r95CCxl4+g== [fileUNF] This dataset presents the data used in the study that was undertaken in four villages which had tied ridges constructed on 2016/2017 cropping season. It involved the use of a split-plot design with two factors namely tillage methods (i.e. annual tied ridging (ATR), residual tied ridging (RTR) and conventional farmer practice, (CFP) and two improved...
BulkDensityPlantingValidationRTR_ 2019.tab Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania Tabular Data - 5.6 KB - 9 Variables, 84 Observations - UNF:6:0YDvSfa0K8wlL+CLZ2LLgQ== DataEXCEL
GrainYields_Kongwa_2019.tab Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania Tabular Data - 2.7 KB - 5 Variables, 65 Observations - UNF:6:QmAl2PDKWC+RJjtjcGrdGA== DataEXCEL
InfiltrationData_ResidualRidgingTrail_2019.tab Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania Tabular Data - 1.6 KB - 8 Variables, 39 Observations - UNF:6:zN74J7F9X8yUFz8XJpDuuA== DataEXCEL
PercentageSoilWaterContent_PhysioMaturity_2018-2019.tab Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania Tabular Data - 5.2 KB - 11 Variables, 105 Observations - UNF:6:+9p276swqjEwpIsmUF9q+g== DataEXCEL
Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania Oct 6, 2023 Tanzania Agricultural Research Institute (TARI), 2023, "Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania", https://doi.org/10.7910/DVN/CWYN3Q, Harvard Dataverse, V1, UNF:6:+rNK83/m0I22Hya5helMsw== [fileUNF] This dataset presents the data used in the study undertaken in the semi-arid area of Kiteto District in the Babati Region to address the challenge of soil plow layer compaction mainly associated with continued use of tractor mounted plow discs and cattle trampling. Trials were arranged in a mother-baby set up during the 2018/2019 cropping season wh...

Madina_WX.tab

Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum

Tabular Data - 29.2 KB - 8 Variables, 730 Observations -

Data

M'pessoba_WX.tab

Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum

Tabular Data - 29.2 KB - 8 Variables, 730 Observations -

Data

Readme.txt

Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum

Plain Text - 811 B -

Documentation

SMK_17_18.tab

Oct 10, 2023 - Evaluating Crop Simulation Models Using Different Fertility Sources and Climate Model Outputs to Improve the Productivity of Sorghum

Tabular Data - 20.3 KB - 13 Variables, 240 Observations -

Data

Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania

Oct 6, 2023

Tanzania Agricultural Research Institute (TARI); International Institute of Tropical Agriculture (IITA); University of Dodoma, 2023, "Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania", https://doi.org/10.7910/DVN/JKIU3B, Harvard Dataverse, V1, UNF:6:0SQQy+RS+JE3r95CCxl4+g== [fileUNF]

This dataset presents the data used in the study that was undertaken in four villages which had tied ridges constructed on 2016/2017 cropping season. It involved the use of a split-plot design with two factors namely tillage methods (i.e. annual tied ridging (ATR), residual tied ridging (RTR) and conventional farmer practice, (CFP) and two improved...

BulkDensityPlantingValidationRTR_ 2019.tab

Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania

Tabular Data - 5.6 KB - 9 Variables, 84 Observations -

DataEXCEL

GrainYields_Kongwa_2019.tab

Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania

Tabular Data - 2.7 KB - 5 Variables, 65 Observations -

DataEXCEL

InfiltrationData_ResidualRidgingTrail_2019.tab

Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania

Tabular Data - 1.6 KB - 8 Variables, 39 Observations -

DataEXCEL

PercentageSoilWaterContent_PhysioMaturity_2018-2019.tab

Oct 6, 2023 - Validation of Residual Tied Ridging Insitu Rainwater Harvesting Labor Saving Technology in Semi-Arid Areas of Central Tanzania

Tabular Data - 5.2 KB - 11 Variables, 105 Observations -

DataEXCEL

Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania

Oct 6, 2023

Tanzania Agricultural Research Institute (TARI), 2023, "Use of Tractor Mounted Ripper Tillage for Enhancing Soil Water Infiltration and Moisture Conservation in Semi-Arid Areas of Central Tanzania", https://doi.org/10.7910/DVN/CWYN3Q, Harvard Dataverse, V1, UNF:6:+rNK83/m0I22Hya5helMsw== [fileUNF]

This dataset presents the data used in the study undertaken in the semi-arid area of Kiteto District in the Babati Region to address the challenge of soil plow layer compaction mainly associated with continued use of tractor mounted plow discs and cattle trampling. Trials were arranged in a mother-baby set up during the 2018/2019 cropping season wh...

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