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13,221 to 13,230 of 13,427 Results
Plain Text - 476.5 KB - MD5: fc1c2f6bf3417d05f516ef017fe9a27d
Phenotypic Data
File containing phenotypic raw data for the LPS population evaluated under drought stressed conditions.
Unknown - 2.1 MB - MD5: d80bf7d694ef05aba18a32878165c2b0
Genotypic Data
File contains general info on the genetic map; the genetic map; and BLUPs and BLUEs (LPS population under drought) used for QTL mapping
Unknown - 2.1 MB - MD5: 0db0bfd13d8a325907f1992833e5fdc7
Genotypic Data
File contains general info on the genetic map; the genetic map; and BLUPs and BLUEs (LPS population under well watered conditions) used for QTL mapping
Plain Text - 171.6 KB - MD5: e8e56bb969712cf7bda883c9fe697924
Phenotypic Data
File containing phenotypic raw data for the DTP population evaluated under well watered conditions.
Plain Text - 223.7 KB - MD5: 3328f668b63bdc1ddd8b88604601b52d
Phenotypic Data
File containing phenotypic raw data for the LPS population evaluated under well watered conditions.
Feb 15, 2016 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Crossa, Jose; Burgueño, Juan; Eskridge, Kent; Falconi, Esteban; Singh, Pawan; He, Xinyao, 2015, "Genomic Bayesian prediction model for count data with Genotype × environment interaction", https://hdl.handle.net/11529/10575, CIMMYT Research Data & Software Repository Network, V2
Genomic tools allow the study of the whole genome and are facilitating the study of genotype-environment combinations and their relationship with the phenotype. However, most genomic prediction models developed so far are appropriate for Gaussian phenotypes. For this reason, appr...
Unknown - 33.4 KB - MD5: 2ff74083d3178aa2d523c7c333e5fd80
Jan 25, 2016 - CIMMYT Research Data
Jarquín, Diego; Pérez-Elizalde, Sergio; Burgueño, Juan; Crossa, Jose, 2015, "A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years", https://hdl.handle.net/11529/10463, CIMMYT Research Data & Software Repository Network, V2
In agriculture and plant breeding, multi-environment trials over multiple years are conducted to evaluate and predict genotypic performance under different environmental conditions, and to analyze, study, and interpret genotype × environment interaction (G×E). In this study, we p...
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