CIMMYT Research Data & Software Repository Network

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Publication Year: 2017

1,081 to 1,090 of 1,255 Results

International Wheat Yield Partnership Research Data(CIMMYT on behalf of IWYP) Mar 13, 2017 Free, open access repository of research data produced as part of the International Wheat Yield Partnership (IWYP).
DATASET1to3.Maize.rdata Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction Unknown - 376.8 KB - MD5: 0b0889757980aefa3f3bae20d3ecc318 Phenotypic Data Maize data
DATASET4to5.Wheat.rdata Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction Unknown - 459.3 KB - MD5: c59905b897fe95f9d600f78cd42b4fba Phenotypic Data Wheat data
DATASET6.Wheat_Yield1.rdata Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction Unknown - 5.2 MB - MD5: 4a3ec390c48988b3203c50904a8b78da Phenotypic Data Wheat yield data
Metasheet.pdf Feb 28, 2017 - Survey to assess the impact of multi-level factors of change on farm trajectories in Southern Bangladesh Adobe PDF - 103.9 KB - MD5: 1afb9d26eaf3d4b4f7eca241d289f509 Metadata Detailed information on the data collection methodology and variables contained in datasets
QuestionnaireTrajectoriesofChange.pdf Feb 28, 2017 - Survey to assess the impact of multi-level factors of change on farm trajectories in Southern Bangladesh Adobe PDF - 546.0 KB - MD5: cc0b943a1543da770d1b6c25012e5b05 Survey Questionnaire
Genomic-enabled prediction in maize using kernel models with genotype × environment interaction Feb 16, 2017 - CIMMYT Research Data Bandeira e Sousa, Massaine; Cuevas, Jaime; Oliveira Couto, Evellyn Giselly de; Pérez-Rodríguez, Paulino; Jarquín, Diego; Fritsche-Neto, Roberto; Burgueño, Juan; Crossa, Jose, 2017, "Genomic-enabled prediction in maize using kernel models with genotype × environment interaction", https://hdl.handle.net/11529/10887, CIMMYT Research Data & Software Repository Network, V1 ^^
HELdataset.zip Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction Unknown - 3.2 MB - MD5: 5ec14850d84981924150ab72a73ffd3b Phenotypic Data HEL dataset
USPdataset.zip Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction Unknown - 8.3 MB - MD5: ea15b012992ef6cfd169e4c2595d2c2b Phenotypic Data UPS dataset
Ag_Income_Source.tab Feb 15, 2017 - Replication data for: Zero-Tillage Service Provision as a Business Opportunity Tabular Data - 31.7 KB - 9 Variables, 1350 Observations - UNF:5:0e6r9+Vhetf+GI0UHt6Z7A== Datasets

International Wheat Yield Partnership Research Data(CIMMYT on behalf of IWYP)

Mar 13, 2017

Free, open access repository of research data produced as part of the International Wheat Yield Partnership (IWYP).

DATASET1to3.Maize.rdata

Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction

Unknown - 376.8 KB -

Phenotypic Data

Maize data

DATASET4to5.Wheat.rdata

Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction

Unknown - 459.3 KB -

Phenotypic Data

Wheat data

DATASET6.Wheat_Yield1.rdata

Mar 9, 2017 - A variational Bayes genomic-enabled prediction model with genotype × environment interaction

Unknown - 5.2 MB -

Phenotypic Data

Wheat yield data

Metasheet.pdf

Feb 28, 2017 - Survey to assess the impact of multi-level factors of change on farm trajectories in Southern Bangladesh

Adobe PDF - 103.9 KB -

Metadata

Detailed information on the data collection methodology and variables contained in datasets

QuestionnaireTrajectoriesofChange.pdf

Feb 28, 2017 - Survey to assess the impact of multi-level factors of change on farm trajectories in Southern Bangladesh

Adobe PDF - 546.0 KB -

Survey Questionnaire

Genomic-enabled prediction in maize using kernel models with genotype × environment interaction

Feb 16, 2017 - CIMMYT Research Data

Bandeira e Sousa, Massaine; Cuevas, Jaime; Oliveira Couto, Evellyn Giselly de; Pérez-Rodríguez, Paulino; Jarquín, Diego; Fritsche-Neto, Roberto; Burgueño, Juan; Crossa, Jose, 2017, "Genomic-enabled prediction in maize using kernel models with genotype × environment interaction", https://hdl.handle.net/11529/10887, CIMMYT Research Data & Software Repository Network, V1

HELdataset.zip

Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction

Unknown - 3.2 MB -

Phenotypic Data

HEL dataset

USPdataset.zip

Feb 16, 2017 - Genomic-enabled prediction in maize using kernel models with genotype × environment interaction

Unknown - 8.3 MB -

Phenotypic Data

UPS dataset

Ag_Income_Source.tab

Feb 15, 2017 - Replication data for: Zero-Tillage Service Provision as a Business Opportunity

Tabular Data - 31.7 KB - 9 Variables, 1350 Observations -

Datasets

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