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691 to 700 of 952 Results
ET_BAko agronomy data_2015
Aug 22, 2019
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
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
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
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
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
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.
TAMASA NOTs Ethiopia 2015-2016
Aug 15, 2019
Rurinda, Jairos; Kebede, Mesfin, 2019, "TAMASA NOTs Ethiopia 2015-2016", https://hdl.handle.net/11529/10548239, CIMMYT Research Data & Software Repository Network, V1
Nutrient Omission Trials (NOTs) conducted in two zones (West Showa and Jimma) in Ethiopia in 2015 and 2016. Trials comprise six nutrient management treatments, namely Control (zero fertilizer), PK, NK, PK, NPK, NPK+Ca+Mg+Zn+B. Trials were conducted on-farm with six plots per farm...
TAMASA Tanzania Nutrient Omission Trial (NOT) for 2015/2016 Season
Aug 15, 2019
Kenneth Masuki, 2019, "TAMASA Tanzania Nutrient Omission Trial (NOT) for 2015/2016 Season", https://hdl.handle.net/11529/10548217, CIMMYT Research Data & Software Repository Network, V1
Soil analysis from 0-20 cm depth from Nutrient Ommission Trials (NOTS) sites conducted in two regions in Tanzania in 2015/ 2016 season.
TAMASA_TZ_APS_2016_Soil
Aug 15, 2019
Masuki, Kenneth; Chamberlin, Jordan; Nord, Allison; Mushongi, Arnold; Lameck, Magoye; Karwani, George; Sayula, George; Mwaijande, Violeth, 2019, "TAMASA_TZ_APS_2016_Soil", https://hdl.handle.net/11529/10548272, CIMMYT Research Data & Software Repository Network, V1
Data of soil samples (0-20, 20-50cm) as part of the Agronomy Panel Survey (APS) implemented in the Southern Highlands, Northern and Eastern Zones of Tanzania. Farmers maize fields were randomly selected three 1 X 1 km areas from 22 10km x 10 km sampling grids. Replicated crop cut...
TAMASA_TZ_APS_CC_2016
Aug 15, 2019
Masuki, Kenneth; Chamberlin, Jordan; Nord, Allison; Mushongi, Arnold; Lameck, Magoye; Karwani, George; Mwaijande, Violeth; Sayula, George, 2019, "TAMASA_TZ_APS_CC_2016", https://hdl.handle.net/11529/10548271, CIMMYT Research Data & Software Repository Network, V1, UNF:6:49xMzTK6Zv9XhP+l5IDUZA== [fileUNF]
Replicated crop-cuts from farmers' maize fields as part of the Agronomy Panel Survey (APS) implemented in the Southern Highlands, Northern and Eastern Zones of Tanzania. Farmers maize fields were randomly selected three 1 X 1 km areas from 22 10km x 10 km sampling grids. Soil sam...
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