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7,831 to 7,840 of 13,542 Results
17-SSCOP - ANNUAL REPORT 2017-18.pdf
17-SSCOP - ANNUAL REPORT 2017-18.pdf
Jun 3, 2020 - 11.2 Semi-annual & annual report- SRFSI Project-ACIAR-CIMMYT
Adobe PDF - 540.7 KB - MD5: 4fc6e79c469102ea5ea6bc5ea2895fda
18-SRFSI Project_Annual Report_DreamWork Solution_2019.pdf
18-SRFSI Project_Annual Report_DreamWork Solution_2019.pdf
Jun 3, 2020 - 11.2 Semi-annual & annual report- SRFSI Project-ACIAR-CIMMYT
Adobe PDF - 898.2 KB - MD5: 466686ced760495531d08365b55c29d9
19-Final-Technical-Report-SRFSI-EcoDev-2019.pdf
19-Final-Technical-Report-SRFSI-EcoDev-2019.pdf
Jun 3, 2020 - 11.2 Semi-annual & annual report- SRFSI Project-ACIAR-CIMMYT
Adobe PDF - 305.0 KB - MD5: 45e93a0ffb7bab5a3a5df77a91f3c2c1
Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data
May 30, 2020 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, José Cricelio; Singh, Pawan; Lozano-Ramirez, Nerida; Barrón-López, Alberto; Montesinos-López, Abelardo; Crossa, Jose, 2020, "Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data", https://hdl.handle.net/11529/10548438, CIMMYT Research Data & Software Repository Network, V1
Genomic selection (GS) is an important method used in plant and animal breeding. The experimental data provided in this study contain counting data. These datasets were used to support research on efficient methodologies for multivariate count data outcomes including a multivaria...
Data_set_1.RData.gz
May 30, 2020 - Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data
Gzip Archive - 232.9 KB - MD5: 1b0d75ad608603ded86dbb0e27133d32
Data
Data_set_2.RData.gz
May 30, 2020 - Replication Data for: A multivariate Poisson deep learning model for genomic prediction of count data
Gzip Archive - 1.4 MB - MD5: 6fa397be4a1e04f0c045eb82e241093a
Data
STAD-R Descriptive statistics for experimental designs
May 27, 2020 - CIMMYT Research Software
Pacheco-Gil, Rosa Ángela; Rodríguez, Francisco; Alvarado, Gregorio; Vargas, Mateo; Lopez-Cruz, Marco; Crossa, Jose; Burgueño, Juan, 2017, "STAD-R Descriptive statistics for experimental designs", https://hdl.handle.net/11529/10853, CIMMYT Research Data & Software Repository Network, V5
STAD-R is a set of R programs that performs descriptive statistics, in order to make boxplots and histograms. STAD-R was designed because is necessary before than the thing, check if the dataset have the same number of repetitions, blocks, genotypes, environments, if we have miss...
STAD-R_v1.5_BASE_setup.exe
May 27, 2020 - STAD-R Descriptive statistics for experimental designs
Windows Executable - 255.3 MB - MD5: 9576a521aaba452334b80205baf67073
Blue tortilla preference in Mexico
May 27, 2020 - CIMMYT Research Data
Ospina, Diana; Garcia-Medina, Mariana; Pérez, Miriam; Blare, Trent, 2020, "Blue tortilla preference in Mexico", https://hdl.handle.net/11529/10548427, CIMMYT Research Data & Software Repository Network, V1
The study shows the database made from interviews conducted in Texcoco, Mexico during April, May and June 2019. The objective of the study was to understand consumer preferences and consumption and purchasing habits for white and blue maize tortillas.
Preferencia para tortillas azules.xlsx
May 27, 2020 - Blue tortilla preference in Mexico
MS Excel Spreadsheet - 424.2 KB - MD5: 1a5bf836f28058fe8a8a1ffe568c3b7f
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