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.

181 to 190 of 10,683 Results

GAIA_ZMB_on_farm_trials_soil_properties_v0.1.xlsx Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 366 soil samples collected in 2024 before and/or after establishing on-farm trials on yield response to lime rates in Zambia MS Excel Spreadsheet - 75.2 KB - MD5: 583695835e771913113736dec7676074
Report-J5-2025-Zambia-GAIA-Project-Soils.pdf Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 366 soil samples collected in 2024 before and/or after establishing on-farm trials on yield response to lime rates in Zambia Adobe PDF - 396.9 KB - MD5: 44cf3d4122d4c336f8261c627709710d
Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Ethiopia Feb 23, 2026 Sida,Tesfaye Shiferaw; Gebrekidan, Bisrat Haile; Silva, Joao Vasco; Gameda, Samuel; Hougni,Deo-Gratias; Baudron, Frederic; Desalegn, Temesgen; Pittaki, Zampela; Weullow, Elvis; Ateku, Dickens; Karari, Valentine; Chamberlin, Jordan, 2025, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Ethiopia", https://doi.org/10.71682/10549328, CIMMYT Research Data & Software Repository Network, V2 Selected soil properties were predicted from 232 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 Res...
Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks Feb 10, 2026 Vitale, Paolo; Crossa, Jose; Montesinos-López, Abelardo; Ammar, Karim; Dreisigacker, Susanne; Govindan, Velu; Montesinos-López, Osval A; Thompson, Gilberto; Gardner, Keith; Reynolds, Matthew; Gerard, Guillermo, 2026, "Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks", https://doi.org/10.71682/10549375, CIMMYT Research Data & Software Repository Network, V1 Yellow rust (YR) is a major threat to both bread and durum wheat production. In this study, we evaluated alternatives to visual scoring. We tested the predictability (PA) using genomic and phenomic data for YR severity under multiple prediction scenarios in one biparental bread w...
10.71682_10549375_data_dictionary.txt Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks Plain Text - 11.0 KB - MD5: 3f1fbb32b713b48a79f6b3a93a64d12e
10.71682_10549375_files.txt Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks Plain Text - 588 B - MD5: 735596a38bb2aacc29f66020c28a7f86
HTP.zip Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks ZIP Archive - 535.8 KB - MD5: 3138af722db40cd9741d1bef44b42f32
Markers.zip Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks ZIP Archive - 3.8 MB - MD5: 676595083a7c95af58502d7539193f34
WheatMarkers_HRWYT_27.csv Feb 10, 2026 - Replication Data for: Nonlinear Genomic Selection Index Accelerates Multi-Trait Crop Improvement Comma Separated Values - 235.0 KB - MD5: 584f7518497100c3dd3dfdfb1c6d57f5
WheatMarkers_SAWYT_27_.csv Feb 10, 2026 - Replication Data for: Nonlinear Genomic Selection Index Accelerates Multi-Trait Crop Improvement Comma Separated Values - 287.3 KB - MD5: 2bcc7b5201c3690d80d72fb717797aa2

GAIA_ZMB_on_farm_trials_soil_properties_v0.1.xlsx

Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 366 soil samples collected in 2024 before and/or after establishing on-farm trials on yield response to lime rates in Zambia

MS Excel Spreadsheet - 75.2 KB -

Report-J5-2025-Zambia-GAIA-Project-Soils.pdf

Adobe PDF - 396.9 KB -

Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Ethiopia

Feb 23, 2026

Sida,Tesfaye Shiferaw; Gebrekidan, Bisrat Haile; Silva, Joao Vasco; Gameda, Samuel; Hougni,Deo-Gratias; Baudron, Frederic; Desalegn, Temesgen; Pittaki, Zampela; Weullow, Elvis; Ateku, Dickens; Karari, Valentine; Chamberlin, Jordan, 2025, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of soil samples collected in 2023 (second year) before and/or after establishing on-farm trials on yield response to lime rates in Ethiopia", https://doi.org/10.71682/10549328, CIMMYT Research Data & Software Repository Network, V2

Selected soil properties were predicted from 232 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 Res...

Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks

Feb 10, 2026

Vitale, Paolo; Crossa, Jose; Montesinos-López, Abelardo; Ammar, Karim; Dreisigacker, Susanne; Govindan, Velu; Montesinos-López, Osval A; Thompson, Gilberto; Gardner, Keith; Reynolds, Matthew; Gerard, Guillermo, 2026, "Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks", https://doi.org/10.71682/10549375, CIMMYT Research Data & Software Repository Network, V1

Yellow rust (YR) is a major threat to both bread and durum wheat production. In this study, we evaluated alternatives to visual scoring. We tested the predictability (PA) using genomic and phenomic data for YR severity under multiple prediction scenarios in one biparental bread w...

10.71682_10549375_data_dictionary.txt

Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks

Plain Text - 11.0 KB -

10.71682_10549375_files.txt

Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks

Plain Text - 588 B -

HTP.zip

Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks

ZIP Archive - 535.8 KB -

Markers.zip

Feb 10, 2026 - Replication Data for: Multi-Omics Prediction for Yellow Rust in Bread and Durum Wheat Through Conventional and AI-based Frameworks

ZIP Archive - 3.8 MB -