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Publication Status: Published

821 to 830 of 1,113 Results

TAMASA_TZ_APS_CC_2016 Aug 15, 2019 - CIMMYT Research Data 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...
TAMASA Tanzania Baseline Yield Survey Soil data for 2015 Aug 15, 2019 - CIMMYT Research Data Masuki, Kenneth, 2019, "TAMASA Tanzania Baseline Yield Survey Soil data for 2015", https://hdl.handle.net/11529/10548219, CIMMYT Research Data & Software Repository Network, V1 This dataset consists of soil data from Baseline Yield Survey conducted in Southern Highlands, Northern and Eastern Zones in Tanznaia. These data are associated, by location, with the yield data collected under the same baseline survey for the same areas and time period
TAMASA Tanzania APS household data for 2016 Aug 15, 2019 - CIMMYT Research Data Chamberlin, Jordan, 2019, "TAMASA Tanzania APS household data for 2016", https://hdl.handle.net/11529/10548230, CIMMYT Research Data & Software Repository Network, V1 This dataset consists of community-level data on 75 communities in 25 maize-growing districts in Tanzania.
TZ TAMASA APS 2017 MZ Biomass Yield MetaData Aug 15, 2019 - CIMMYT Research Data Masuki, Kenneth, 2019, "TZ TAMASA APS 2017 MZ Biomass Yield MetaData", https://hdl.handle.net/11529/10548237, CIMMYT Research Data & Software Repository Network, V1, UNF:6:CSNwDcf4h3krWJ6Vm5iu6g== [fileUNF] Survey at multiple locations in Tanzania (680 to 2100 m) to establish baseline biomass yields at farm level.
TZ_TAMASA_APS_2016_Soil_MetaData Aug 15, 2019 - CIMMYT Research Data Kenneth Masuki, 2019, "TZ_TAMASA_APS_2016_Soil_MetaData", https://hdl.handle.net/11529/10548218, CIMMYT Research Data & Software Repository Network, V1 TAMASA Tanzania Agronomic Panel Survey (APS) Soil data for 2016. Soil samples were collected at harvest time at 0-20 and 20-50 cm depths in 560 geo-referenced fields. Soils data were analysed by mid-IR and XRF methods.
Multi-trait multi-environment genomic prediction of durum wheat Aug 12, 2019 - CIMMYT Research Data Montesinos-López, Osval A.; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, Jose, 2019, "Multi-trait multi-environment genomic prediction of durum wheat", https://hdl.handle.net/11529/10548262, CIMMYT Research Data & Software Repository Network, V1 In this paper we cover multi-trait prediction of grain yield (GY), days to heading (DH) and plant height (PH) of 270 durum wheat lines that were evaluated in 43 environments (location-year combinations) in Bologna, Italy. The results of the multi-trait deep learning method also w...
International Early White Variety Trial - IEWV0605 Aug 11, 2019 - CIMMYT Research Data Global Maize Program, 2019, "International Early White Variety Trial - IEWV0605", https://hdl.handle.net/11529/10552, CIMMYT Research Data & Software Repository Network, V1 Summary results and individual trial results from the International Early White Variety - IEWV, (Tropical Early White Variety Trial - EVT14B) conducted in 2006.
International Early White Hybrid Trial - IEWH0611 Aug 11, 2019 - CIMMYT Research Data Global Maize Program, 2019, "International Early White Hybrid Trial - IEWH0611", https://hdl.handle.net/11529/10562, CIMMYT Research Data & Software Repository Network, V1 Summary results and individual trial results from the International Early White Hybrid - IEWH, (Tropical Early White Hybrid Trial - CHTTEW) conducted in 2006.
Long-term tillage and residue management experiment in San Luis Potosí, Mexico Aug 4, 2019 - CIMMYT Research Data Verhulst, Nele; Fonteyne, Simon; Martinez Gamiño, Miguel-Angel; Saldivia Tejeda, Abel, 2019, "Long-term tillage and residue management experiment in San Luis Potosí, Mexico", https://hdl.handle.net/11529/10548248, CIMMYT Research Data & Software Repository Network, V1, UNF:6:IoKHUBaC8wFwyZ40ygz99g== [fileUNF] An experiment initiated in 1996 in the highlands of the state of San Luis Potosí, Mexico, evaluated different tillage methods and levels of soil cover under permanent raised beds for their effects on yield, profitability, and soil quality in an irrigated, summer maize- winter oat...
Deep kernel of genomic and near infrared predictions in multi-environment breeding trials Jul 18, 2019 - CIMMYT Research Data Cuevas, Jaime; Montesinos-López, Osval A.; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", https://hdl.handle.net/11529/10548180, CIMMYT Research Data & Software Repository Network, V4 In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...

TAMASA_TZ_APS_CC_2016

Aug 15, 2019 - CIMMYT Research Data

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...

TAMASA Tanzania Baseline Yield Survey Soil data for 2015

Aug 15, 2019 - CIMMYT Research Data

Masuki, Kenneth, 2019, "TAMASA Tanzania Baseline Yield Survey Soil data for 2015", https://hdl.handle.net/11529/10548219, CIMMYT Research Data & Software Repository Network, V1

This dataset consists of soil data from Baseline Yield Survey conducted in Southern Highlands, Northern and Eastern Zones in Tanznaia. These data are associated, by location, with the yield data collected under the same baseline survey for the same areas and time period

TAMASA Tanzania APS household data for 2016

Aug 15, 2019 - CIMMYT Research Data

Chamberlin, Jordan, 2019, "TAMASA Tanzania APS household data for 2016", https://hdl.handle.net/11529/10548230, CIMMYT Research Data & Software Repository Network, V1

This dataset consists of community-level data on 75 communities in 25 maize-growing districts in Tanzania.

TZ TAMASA APS 2017 MZ Biomass Yield MetaData

Aug 15, 2019 - CIMMYT Research Data

Masuki, Kenneth, 2019, "TZ TAMASA APS 2017 MZ Biomass Yield MetaData", https://hdl.handle.net/11529/10548237, CIMMYT Research Data & Software Repository Network, V1, UNF:6:CSNwDcf4h3krWJ6Vm5iu6g== [fileUNF]

Survey at multiple locations in Tanzania (680 to 2100 m) to establish baseline biomass yields at farm level.

TZ_TAMASA_APS_2016_Soil_MetaData

Aug 15, 2019 - CIMMYT Research Data

Kenneth Masuki, 2019, "TZ_TAMASA_APS_2016_Soil_MetaData", https://hdl.handle.net/11529/10548218, CIMMYT Research Data & Software Repository Network, V1

TAMASA Tanzania Agronomic Panel Survey (APS) Soil data for 2016. Soil samples were collected at harvest time at 0-20 and 20-50 cm depths in 560 geo-referenced fields. Soils data were analysed by mid-IR and XRF methods.

Multi-trait multi-environment genomic prediction of durum wheat

Aug 12, 2019 - CIMMYT Research Data

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Tuberosa, Roberto; Maccaferri, Marco; Sciara, Giuseppe; Ammar, Karim; Crossa, Jose, 2019, "Multi-trait multi-environment genomic prediction of durum wheat", https://hdl.handle.net/11529/10548262, CIMMYT Research Data & Software Repository Network, V1

In this paper we cover multi-trait prediction of grain yield (GY), days to heading (DH) and plant height (PH) of 270 durum wheat lines that were evaluated in 43 environments (location-year combinations) in Bologna, Italy. The results of the multi-trait deep learning method also w...

International Early White Variety Trial - IEWV0605

Aug 11, 2019 - CIMMYT Research Data

Global Maize Program, 2019, "International Early White Variety Trial - IEWV0605", https://hdl.handle.net/11529/10552, CIMMYT Research Data & Software Repository Network, V1

Summary results and individual trial results from the International Early White Variety - IEWV, (Tropical Early White Variety Trial - EVT14B) conducted in 2006.

International Early White Hybrid Trial - IEWH0611

Aug 11, 2019 - CIMMYT Research Data

Global Maize Program, 2019, "International Early White Hybrid Trial - IEWH0611", https://hdl.handle.net/11529/10562, CIMMYT Research Data & Software Repository Network, V1

Summary results and individual trial results from the International Early White Hybrid - IEWH, (Tropical Early White Hybrid Trial - CHTTEW) conducted in 2006.

Long-term tillage and residue management experiment in San Luis Potosí, Mexico

Aug 4, 2019 - CIMMYT Research Data

Verhulst, Nele; Fonteyne, Simon; Martinez Gamiño, Miguel-Angel; Saldivia Tejeda, Abel, 2019, "Long-term tillage and residue management experiment in San Luis Potosí, Mexico", https://hdl.handle.net/11529/10548248, CIMMYT Research Data & Software Repository Network, V1, UNF:6:IoKHUBaC8wFwyZ40ygz99g== [fileUNF]

An experiment initiated in 1996 in the highlands of the state of San Luis Potosí, Mexico, evaluated different tillage methods and levels of soil cover under permanent raised beds for their effects on yield, profitability, and soil quality in an irrigated, summer maize- winter oat...

Deep kernel of genomic and near infrared predictions in multi-environment breeding trials

Jul 18, 2019 - CIMMYT Research Data

Cuevas, Jaime; Montesinos-López, Osval A.; Juliana, Philomin; Pérez-Rodríguez, Paulino; Burgueño, Juan; Guzman, Carlos; Montesinos-López, Abelardo; Crossa, Jose, 2019, "Deep kernel of genomic and near infrared predictions in multi-environment breeding trials", https://hdl.handle.net/11529/10548180, CIMMYT Research Data & Software Repository Network, V4

In genomic prediction deep learning artificial neural network are part of machine learning methods that incorporate parametric, non-parametric and semi-parametric statistical models. Kernel methods are seeing more flexible, and easier to interpret than neural networks. Kernel met...

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