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31 to 40 of 13,475 Results
PED-R Calculus of pedigree relationship with R. Version 1.0
Apr 18, 2026 - CIMMYT Research Software
Francisco Rodríguez; Paulino Pérez; Gregorio Alvarado; Ángela Pacheco; Juan Burgueño, 2017, "PED-R Calculus of pedigree relationship with R. Version 1.0", https://hdl.handle.net/11529/10849, CIMMYT Research Data & Software Repository Network, V3
PED-R is a software to calculate easily the Pedigree matrix using R (statistical software). PED-R provides the Pedigree matrix in csv format and txt format which can be used by GAP software to show heatmaps. Also a heatmap is provided in pdf format. Another file provided is in fo...
PED-R_v1.0_setup.exe
Apr 18, 2026 - PED-R Calculus of pedigree relationship with R. Version 1.0
Unknown - 63.6 MB - MD5: 26841b2e2039432ac54a43552fa8053a
PED-R_v1.1_setup.exe
Apr 18, 2026 - PED-R Calculus of pedigree relationship with R. Version 1.0
Windows Executable - 63.7 MB - MD5: 465727e65948a296415263c0a557ecb5
Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya
Mar 31, 2026 - CIMMYT Research Data
Lavinia Mmbaga MADAGA; Joao Vasco SILVA; Deo-Gratias HOUGNI; Vincent Woyengo; Zampela PITTAKI; Dickens ATEKU; Valentine KARARI; Jordan CHAMBERLIN, 2026, "Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya", https://doi.org/10.71682/10549397, CIMMYT Research Data & Software Repository Network, V1
Selected soil properties were predicted from 61 topsoil and 61 subsoil samples subjected to spectral analysis (MIRS). A subset of samples were also subjected to wet chemistry analysis (see links in the attached reports), and results were used to calibrate a machine-learning algor...
GAIA_KEN_on_farm_trials_soil_properties_v0.1.xlsx
Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya
MS Excel Spreadsheet - 37.9 KB - MD5: 4a5925efb8b50229eaf5a726e3143165
Report_J38-2025-GAIA-Soils-Kakamega.pdf
Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya
Adobe PDF - 422.0 KB - MD5: 0e13ef6678b9af5768059063c94da462
Report-J47-2025-Kakamega-Soils-Batch2-GAIA-Project.pdf
Mar 31, 2026 - Soil properties predicted from mid-infrared spectral (MIRS) analysis of 61 soil samples collected in 2021 before establishing on-farm trials on yield response to lime rates in Kakamega Kenya
Adobe PDF - 313.0 KB - MD5: 8e6625ee97789e35a0bcaedbea6a54c8
Agronomic data of on-farm trials on yield response to lime rates in Rwanda (first year)
Mar 31, 2026 - CIMMYT Research Data
Bisrat Haile GEBREKIDAN; Joao Vasco SILVA; Tesfaye Shiferaw SIDA; Samuel GAMEDA; Deo-Gratias HOUGNI; Frederic BAUDRO; Vicky RUGANZU; Zampela PITTAKI; Elvis WEULLOW; Dickens ATEKU; Valentine KARARI; Jordan CHAMBERLIN, 2026, "Agronomic data of on-farm trials on yield response to lime rates in Rwanda (first year)", https://doi.org/10.71682/10549402, CIMMYT Research Data & Software Repository Network, V1
This dataset was generated as part of the Guiding Acid Soil Management Investments in Africa (GAIA) project, which aims to support evidence-based investments in acid soil management across sub-Saharan Africa. Within this project, researcher-managed on-farm trials were established...
GAIA_on_farm_trials_agronomy_variable_description_2026-03-13_v0.1.csv
Mar 31, 2026 - Agronomic data of on-farm trials on yield response to lime rates in Rwanda (first year)
Comma Separated Values - 1.9 KB - MD5: 6f4f1f2a8c56af3a46bdd1a238efcc1f
GAIA_Rwa_on_farm_trials_yield_yr1_2026-03-13_v0.1.csv
Mar 31, 2026 - Agronomic data of on-farm trials on yield response to lime rates in Rwanda (first year)
Comma Separated Values - 206.7 KB - MD5: b4ffd1ef97c205f61dd374e7a0ea9c1c
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