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1,081 to 1,090 of 1,252 Results
Unknown - 5.2 MB - MD5: 4a3ec390c48988b3203c50904a8b78da
Phenotypic Data
Wheat yield data
Adobe PDF - 103.9 KB - MD5: 1afb9d26eaf3d4b4f7eca241d289f509
Metadata
Detailed information on the data collection methodology and variables contained in datasets
Adobe PDF - 546.0 KB - MD5: cc0b943a1543da770d1b6c25012e5b05
Survey Questionnaire
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
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Unknown - 3.2 MB - MD5: 5ec14850d84981924150ab72a73ffd3b
Phenotypic Data
HEL dataset
Unknown - 8.3 MB - MD5: ea15b012992ef6cfd169e4c2595d2c2b
Phenotypic Data
UPS dataset
Feb 15, 2017 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Valerien O. Pede; Vijesh Krishna; Nils Teufel; Patrick S. Ward; Takashi Yamano; Arindam Sammadar; David J. Spielman; Surabhi Mittal; Thelma Paris; Dhiraj Singh; Vartika Singh; Subash Ghimire; Meerah Mehrotra, 2017, "Replication data for: Cereal Systems Initiative for South Asia (CSISA) Baseline Household Survey 2010-2011", https://hdl.handle.net/11529/10881, CIMMYT Research Data & Software Repository Network, V1
The Cereal Systems Initiative for South Asia (CSISA) was launched in 2009 with support from the Bill and Melinda Gates Foundation (BMGF) and the United States Agency for International Development (USAID). CSISA's objective is to develop and deploy more efficient, productive and s...
Tabular Data - 31.7 KB - 9 Variables, 1350 Observations - UNF:5:0e6r9+Vhetf+GI0UHt6Z7A==
Datasets
Tabular Data - 15.4 KB - 30 Variables, 174 Observations - UNF:5:pQ1S1K0thgDkRp0SIFC2Yg==
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