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41 to 50 of 1,167 Results
File
Plain Text - 1.1 MB - MD5: 5e63b292cbe4726702f940a4438a8d16
WeebilxCIMCOG26
Reformatted and transposed 1-letter nucleotide SNPs call matrix
File
File - 2.1 MB - MD5: 809ebe4c80323b253edcf4d2dd9d77c1
WeebilxCIMCOG26
2-letter nucleotide SNPs call original matrix
File
File - 1.0 MB - MD5: ec07ec4392d08a4b1a86712cef57e12a
WeebilxCIMCOG26
Converted data to HDF5 format for the Germinate Wheat Database
File
Plain Text - 627.3 KB - MD5: 0dc0a51490737dcbbd9c6b913fdf09e8
WeebilxCIMCOG03
Reformatted and transposed 1-letter nucleotide SNPs call matrix
File
File - 1.1 MB - MD5: 8f2376ae43e3d7bb9b2731b28e1c97cd
WeebilxCIMCOG03
2-letter nucleotide SNPs call original matrix
File
File - 588.5 KB - MD5: 436354ba948113074c5ab7438c1eebba
WeebilxCIMCOG03
Converted data to HDF5 format for the Germinate Wheat Database
File
Plain Text - 254.0 KB - MD5: e409d7a7941a355e63b6c2842497968d
Phenotypic Data
Field trial data from seasons 2010, 2011, 2012 and 2013.
File
File - 8.3 MB - MD5: ea15b012992ef6cfd169e4c2595d2c2b
Phenotypic Data
UPS dataset
Dataset / Software
Jun 27, 2017 - CIMMYT Research Software
Fernando Aguate; Samuel Trachsel; Lorena González-Pérez; Juan Burgueño; José Crossa; Mónica Balzarini; David Gouache; Matthieu Bogard; Gustavo de los Campos, 2017, "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield: Supplementary Methods", hdl:11529/10972, CIMMYT Research Data & Software Repository Network, V1
This is the supplementary methods of "Use of High-Resolution Image Data Outperforms Vegetation Indices in Prediction of Maize Yield" published in Crop Science · May 2017, DOI: 10.2135/cropsci2017.01.0007. It includes the raw data in R format and the R-code for the analysis.
Dataset / Software
Nov 7, 2017 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Timothy J. Krupnik; Zia Uddin Ahmed; Jagadish Timsina; Samina Yasmin; Farhad Hossain; Abdullah Al Mamun; Aminul Islam Mridha; Andrew J. McDonald, 2017, "Untangling crop management and environmental influences on wheat yield variability in Bangladesh: An application of non-parametric approaches", hdl:11529/11037, CIMMYT Research Data & Software Repository Network, V2
In South Asia, wheat is typically grown in favorable environments, although policies promoting intensification in Bangladesh's stress-prone coastal zone have resulted in expanded cultivation in this non-traditional area. Relatively little is known about howto best manage wheat in...
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