CIMMYT institutional network of scientific datasets and software repositories.
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811 to 820 of 1,122 Results
TZ TAMASA APS 2016 pigeon peas Yield MetaData
Aug 22, 2019 - CIMMYT Research Data
Masuki, Kenneth; Chamberlin, Jordan, 2019, "TZ TAMASA APS 2016 pigeon peas Yield MetaData", https://hdl.handle.net/11529/10548236, CIMMYT Research Data & Software Repository Network, V2, UNF:6:dF6+/EEer8HsSlxKsQJIVA== [fileUNF]
Survey at multiple locations in Tanzania (600 to 2100 m) to establish baseline yields at farm level.
TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Crop Cut & Soil data
Aug 22, 2019 - CIMMYT Research Data
Craufurd, Peter, 2019, "TAMASA Tanzania. Agronomy Panel Survey (APS) 2016. Crop Cut & Soil data", https://hdl.handle.net/11529/10548150, CIMMYT Research Data & Software Repository Network, V2
The 2016 Agronomy Panel Survey (APS) for Tanzania is the first wave of a yearly farm household panel dataset collected under the BMGF-funded project Taking Maize Agronomy to Scale in Africa (TAMASA), in collaboration with the Sustainable Intensification Innovation Lab (SIIL). The...
TAMASA Ethiopia Baseline survey_CSA_ 2015
Aug 22, 2019 - CIMMYT Research Data
Mesfin Kebede, 2019, "TAMASA Ethiopia Baseline survey_CSA_ 2015", https://hdl.handle.net/11529/10548216, CIMMYT Research Data & Software Repository Network, V2, UNF:6:+Vq4sw4EaWa5KNnkoYu8VA== [fileUNF]
Crop cut data collected by CSA in 2015 from 382 fields in West Showa, South West Showa, East and West Wollega, Jimma, Iliababur, East Showa, West and East Gojjam. Name of enumerator, name of farmer, gender, field coordinates (longitude, latitude, altitude), type of maize variety,...
TAMASA TZ APS 2017 CC MaizeYield v3
Aug 22, 2019 - CIMMYT Research Data
Craufurd, Peter; Karwani, George; Masuki, Kenneth, 2019, "TAMASA TZ APS 2017 CC MaizeYield v3", https://hdl.handle.net/11529/10548242, CIMMYT Research Data & Software Repository Network, V2, UNF:6:FARtQ7xWh1m0+YYceI+wnw== [fileUNF]
TAMASA Agronomy Panel Survey 2016/17 Season. This file contains the maize grain yield from approximately 578 maize fields in the Southern Highlands, Northern and Eastern Zones of Tanzania in collected May-August 2017. Maize grain yield data can be linked to associated maize yield...
ET_BAko agronomy data_2015
Aug 22, 2019 - CIMMYT Research Data
Mesfin Kebede; Tesfaye Balemi, 2019, "ET_BAko agronomy data_2015", https://hdl.handle.net/11529/10548214, CIMMYT Research Data & Software Repository Network, V2, UNF:6:E+OBmyiA7CSHSUnURtGfXw== [fileUNF]
Crop cut survey in 2015 conducted by EIAR and CIMMYT. Replicated crop cuts of 16m2 in farmers fields along with additional data on nutrient use and variety, and soil sample. There are two linked files for early and mid-season data.
Tanzania VT TAMASA MetaData
Aug 22, 2019 - CIMMYT Research Data
Masuki, Kenneth, 2019, "Tanzania VT TAMASA MetaData", https://hdl.handle.net/11529/10548241, CIMMYT Research Data & Software Repository Network, V2, UNF:6:szr95rrcmIcnjDRLek14BQ== [fileUNF]
Experiments at multiple locations in Tanzania (800 to 1500m) to calibrate development or phenology of maize varieties. Locations are Igeri, Minja, Mitalula, Mlaaleni, Monduli, Selian, Seatondale, Suluti, Uyole, W. Kilimanjaro. Observations include dates of emergence, tassel, silk...
NG 2016 NOTs soil leaf yield database
Aug 22, 2019 - CIMMYT Research Data
Rurinda, Jairos, 2019, "NG 2016 NOTs soil leaf yield database", https://hdl.handle.net/11529/10548245, CIMMYT Research Data & Software Repository Network, V2, UNF:6:N6N2Z480gi0RHke7iJiWBQ== [fileUNF]
Nutrient Ommission Trials (NOTs) from three states in Nigeria. Six treatments, yield, soil and ear leaf nutrient contents.
NG 2015 2016 NOTs soil leaf yield database
Aug 22, 2019 - CIMMYT Research Data
Rurinda, Jairos; Kebede, Mesfin, 2019, "NG 2015 2016 NOTs soil leaf yield database", https://hdl.handle.net/11529/10548238, CIMMYT Research Data & Software Repository Network, V2, UNF:6:8WnI5ertrYb+cnu08o0gxQ== [fileUNF]
Nutrient Omission Trials (NOTs) from three states in Nigeria. Six treatments, yield, soil and ear leaf, stover and grain nutrient contents
Deep kernel and deep learning for genomic-based prediction
Aug 15, 2019 - CIMMYT Research Data
Crossa, Jose; Martini, Johannes; Gianola, Daniel; Pérez-Rodríguez, Paulino; Burgueño, Juan; Singh, Ravi; Juliana, Philomin; Montesinos-López, Osval A.; Cuevas, Jaime, 2019, "Deep kernel and deep learning for genomic-based prediction", https://hdl.handle.net/11529/10548273, CIMMYT Research Data & Software Repository Network, V1
Deep learning (DL) is a promising method in the context of genomic prediction for selecting individuals early in time without measuring their phenotypes. iI this paper we compare the performance in terms of genome-based prediction of the DL method, deep kernel (arc-cosine kernel,...
TAMASA_TZ_APS_CS_2016
Aug 15, 2019 - CIMMYT Research Data
Chamberlin, Jordan; Craufurd, Peter; Masuki, Kenneth, 2019, "TAMASA_TZ_APS_CS_2016", https://hdl.handle.net/11529/10548231, CIMMYT Research Data & Software Repository Network, V1
This dataset consists of community-level data on 42 communities in 25 maize-growing districts in Tanzania.
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