1,071 to 1,080 of 1,250 Results
Mar 31, 2017 -
Fenotipificación De Trigo Para La Identificación De Germoplasma Con Alto Potencial De Rendimiento Y Tolerancia A Sequía Y Calor
Adobe PDF - 2.1 MB -
MD5: 10e6dfb44af9e8f8553abcd2a00ea8b5
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Mar 24, 2017 - CIMMYT Research Data
Romero Navarro, J. Alberto; Willcox, Martha; Burgueño, Juan; Romay, Cinta; Swarts, Kelly; Trachsel, Samuel; Preciado, Ernesto; Terron, Arturo; Vallejo Delgado, Humberto; Vidal, Victor; Ortega, Alejandro; Espinoza Banda, Armando; Gómez Montiel, Noel Orlando; Ortíz-Monasterio Rosas, José Ivan; San Vicente, Felix; Guadarrama Espinoza, Armando; Atlin, Gary; Wenzl, Peter; Hearne, Sarah; Buckler, Ed, 2017, "Significant SNPs from SeeD GWAS Analysis of Flowering Time", https://hdl.handle.net/11529/10906, CIMMYT Research Data & Software Repository Network, V1
The files included in this study provide significant SNPs from the gene-level analysis for days to anthesis, days to silking, altitude, and latitude within the SeeD GWAS panel. Markers shown are only those found outside high LD regions as defined in the paper: A study of allelic... |
Mar 24, 2017 -
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Plain Text - 2.7 KB -
MD5: 544a18cae5b6e12e468db11d25b8dc48
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Mar 24, 2017 -
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Plain Text - 34.1 KB -
MD5: eedc41e20b329474713f56cd5b482c53
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Mar 24, 2017 -
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Plain Text - 122.8 KB -
MD5: 6d5e1e00cd6e27deae4dbd08e67485d7
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Mar 24, 2017 -
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Plain Text - 121.6 KB -
MD5: b194cb2252d095e80afa39e03ab975f6
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Mar 24, 2017 -
Significant SNPs from SeeD GWAS Analysis of Flowering Time
Plain Text - 34.1 KB -
MD5: eedc41e20b329474713f56cd5b482c53
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Mar 9, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 376.8 KB -
MD5: 0b0889757980aefa3f3bae20d3ecc318
Maize data |
Mar 9, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 459.3 KB -
MD5: c59905b897fe95f9d600f78cd42b4fba
Wheat data |
Mar 9, 2017 -
A variational Bayes genomic-enabled prediction model with genotype × environment interaction
Unknown - 5.2 MB -
MD5: 4a3ec390c48988b3203c50904a8b78da
Wheat yield data |
