CIMMYT Research Data

Free, open access repository of research studies developed by CIMMYT scientists.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

331 to 340 of 10,508 Results

Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania Nov 4, 2024 Gebrekidan, Bisrat Haile; Silva, Joao Vasco; Sida, Tesfaye Shiferaw; Gameda, Samuel; Hougni, Deo-Gratias; Baudron, Frederic; Kuboja, Nicholaus; Meliyo, Joel; Pittaki, Zampela; Weullow, Elvis; Ateku, Dickens; Karari, Valentine; Chamberlin, Jordan, 2024, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania", https://hdl.handle.net/11529/10549139, CIMMYT Research Data & Software Repository Network, V1 Selected soil properties were predicted from 71 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Rese...
GAIA_J682-Rwanda_J691-Tanzania-Soils_Updated_5April23.pdf Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania Adobe PDF - 611.8 KB - MD5: ac36736a21e50e7181b2e16625ebfc62 Lab report for soil samples collected in Tanzania
GAIA_on_farm_trials_soil_properties_yr1_metadata_v0.1.csv Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania Comma Separated Values - 2.3 KB - MD5: 0549ce3c6699600a848638a283213f39 This file includes the variable definition and a lookup to the "terminag" soil variable terms.
GAIA_Tza_on_farm_trials_soil_properties_yr1_v0.1.csv Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania Comma Separated Values - 14.4 KB - MD5: 82044d86b47e9e9d118ba28ee8f81887 This file includes the actual data
Soil_variables_in_terminag.csv Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania Comma Separated Values - 4.3 KB - MD5: 76acbd5a93f2c950d5fc1b46c3df0f08 Soil variables and indicates ranges in terminag GitHub repository (as of 2024-10-22)
Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize Nov 1, 2024 Amadu, Manigben Kulai; Beyene, Yoseph; Chaikam, Vijay; Tongoona, Pangirayi B.; Danquah, Eric Y.; Ifie, Beatrice E.; Burgueno, Juan; Prasanna, B.M.; Manje Gowda, 2024, "Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize", https://hdl.handle.net/11529/10549140, CIMMYT Research Data & Software Repository Network, V1 To dissect the genetic architecture of grain yield and flowering traits under drought stress, a genome-wide association study (GWAS) was conducted using 236 test-crossed maize lines. The materials were evaluated under managed drought and optimal growing conditions in multiple env...
GBS_239lines_8testers_241811SNPs_05MAF_Imputed.hmp.hmp.txt Nov 1, 2024 - Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize Plain Text - 182.2 MB - MD5: 55219402f978588c317aff4a360cd061 GBS marker data from 239 maize inbred lines, from east Africa mid-altitude adapted medium maturity pipeline
Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection Oct 22, 2024 Van Loon, Jelle; López-Gómez, Jesús; Odjo, Sylvanus, 2024, "Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection", https://hdl.handle.net/11529/10549132, CIMMYT Research Data & Software Repository Network, V1 CIMMYT implemented a study at its station in Texcoco, Mexico to compare the effectiveness of 7 different commercially available shelling options for smallholder farmers in Mexico (OCT: hand sheller; DSG: manual crank-type sheller; THDG: pedal sheller; DEZ: electric sheller of Chi...
CIMMYT-ShellingData-2024-09-24.xlsx Oct 22, 2024 - Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection MS Excel Spreadsheet - 17.1 KB - MD5: f8ee50e17ca320a8a6ee6be5b6ea1cc0 Shelling experiments
Consumo de combustible en tractores agrícolas durante distintas actividades Oct 22, 2024 López Gómez, Jesús Antonio, 2024, "Consumo de combustible en tractores agrícolas durante distintas actividades", https://hdl.handle.net/11529/10549134, CIMMYT Research Data & Software Repository Network, V1 El consumo de combustible de una operación agrícola puede obtenerse a partir del consumo horario que presenta el motor del tractor durante la operación y el tiempo que se necesita para completar dicha operación. Con el objetivo de recolectar información sobre el consumo de combus...

Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania

Nov 4, 2024

Gebrekidan, Bisrat Haile; Silva, Joao Vasco; Sida, Tesfaye Shiferaw; Gameda, Samuel; Hougni, Deo-Gratias; Baudron, Frederic; Kuboja, Nicholaus; Meliyo, Joel; Pittaki, Zampela; Weullow, Elvis; Ateku, Dickens; Karari, Valentine; Chamberlin, Jordan, 2024, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania", https://hdl.handle.net/11529/10549139, CIMMYT Research Data & Software Repository Network, V1

Selected soil properties were predicted from 71 topsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis, and results were used to calibrate a machine-learning algorithm developed by the International Centre for Rese...

GAIA_J682-Rwanda_J691-Tanzania-Soils_Updated_5April23.pdf

Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania

Adobe PDF - 611.8 KB -

Lab report for soil samples collected in Tanzania

GAIA_on_farm_trials_soil_properties_yr1_metadata_v0.1.csv

Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania

Comma Separated Values - 2.3 KB -

This file includes the variable definition and a lookup to the "terminag" soil variable terms.

GAIA_Tza_on_farm_trials_soil_properties_yr1_v0.1.csv

Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania

Comma Separated Values - 14.4 KB -

This file includes the actual data

Soil_variables_in_terminag.csv

Nov 4, 2024 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2022 before establishing on-farm trials on yield response to lime rates in Tanzania

Comma Separated Values - 4.3 KB -

Soil variables and indicates ranges in terminag GitHub repository (as of 2024-10-22)

Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize

Nov 1, 2024

Amadu, Manigben Kulai; Beyene, Yoseph; Chaikam, Vijay; Tongoona, Pangirayi B.; Danquah, Eric Y.; Ifie, Beatrice E.; Burgueno, Juan; Prasanna, B.M.; Manje Gowda, 2024, "Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize", https://hdl.handle.net/11529/10549140, CIMMYT Research Data & Software Repository Network, V1

To dissect the genetic architecture of grain yield and flowering traits under drought stress, a genome-wide association study (GWAS) was conducted using 236 test-crossed maize lines. The materials were evaluated under managed drought and optimal growing conditions in multiple env...

GBS_239lines_8testers_241811SNPs_05MAF_Imputed.hmp.hmp.txt

Nov 1, 2024 - Replication Data for: Genome-Wide Association Mapping and Genomic Prediction Analyses Reveal the Genetic Architecture of Grain Yield and Agronomic Traits under Drought and Optimum Conditions in Maize

Plain Text - 182.2 MB -

GBS marker data from 239 maize inbred lines, from east Africa mid-altitude adapted medium maturity pipeline

Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection

Oct 22, 2024

Van Loon, Jelle; López-Gómez, Jesús; Odjo, Sylvanus, 2024, "Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection", https://hdl.handle.net/11529/10549132, CIMMYT Research Data & Software Repository Network, V1

CIMMYT implemented a study at its station in Texcoco, Mexico to compare the effectiveness of 7 different commercially available shelling options for smallholder farmers in Mexico (OCT: hand sheller; DSG: manual crank-type sheller; THDG: pedal sheller; DEZ: electric sheller of Chi...

CIMMYT-ShellingData-2024-09-24.xlsx

Oct 22, 2024 - Data for: Evaluating Maize Shelling Technologies for Mexican Smallholders: Performance, Quality, and Decision Framework for Optimal Selection

MS Excel Spreadsheet - 17.1 KB -

Shelling experiments

Consumo de combustible en tractores agrícolas durante distintas actividades

Oct 22, 2024

López Gómez, Jesús Antonio, 2024, "Consumo de combustible en tractores agrícolas durante distintas actividades", https://hdl.handle.net/11529/10549134, CIMMYT Research Data & Software Repository Network, V1

El consumo de combustible de una operación agrícola puede obtenerse a partir del consumo horario que presenta el motor del tractor durante la operación y el tiempo que se necesita para completar dicha operación. Con el objetivo de recolectar información sobre el consumo de combus...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications