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12,331 to 12,340 of 12,530 Results

Multiloc_LP_WW_14A----.csv Feb 20, 2016 - Replication data for Identification of QTL for early vigor and stay-green conferring tolerance to drought in two connected advanced backcross populations in tropical maize (Zea mays L.) Plain Text - 223.7 KB - MD5: 3328f668b63bdc1ddd8b88604601b52d Phenotypic Data File containing phenotypic raw data for the LPS population evaluated under well watered conditions.
Genomic Bayesian prediction model for count data with Genotype × environment interaction 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...
Data.FBH.FinalF.RData Feb 15, 2016 - Genomic Bayesian prediction model for count data with Genotype × environment interaction Unknown - 33.4 KB - MD5: 2ff74083d3178aa2d523c7c333e5fd80
R code for Model given in Equation.docx Feb 15, 2016 - Genomic Bayesian prediction model for count data with Genotype × environment interaction Unknown - 16.2 KB - MD5: 3a477d0cc49d8023e8b06e716304a174
A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years 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...
HB.SREG.zip Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years Unknown - 15.5 KB - MD5: 18830010e2b0c62148149bc3112c0fb1
Real Data.zip Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years Unknown - 7.8 KB - MD5: 763dc48d81d3da5046f5b85823411581
Simulated Data.zip Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years Unknown - 5.3 KB - MD5: c5ff9b32c50b4dc005b97e3cc1468eb0
Supplemental Figs. S1a-c and Figs. S2a-c.zip Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years Unknown - 291.7 KB - MD5: 9afa5fd1d315051637129819edc55758
input x CW.xlsx Dec 31, 2015 - Taller: "Aprovechamiento De Los Atlas Moleculares De Maíz Y Trigo." Diciembre 2015 Unknown - 29.2 KB - MD5: db2bb8458b5f8cf1bd800b02e3042baf 5. Archivos por Tema 3 Archivo que puede ser usado por crear los archivos de .txt para cargar en CurlyWhirly.

Multiloc_LP_WW_14A----.csv

Feb 20, 2016 - Replication data for Identification of QTL for early vigor and stay-green conferring tolerance to drought in two connected advanced backcross populations in tropical maize (Zea mays L.)

Plain Text - 223.7 KB -

Phenotypic Data

File containing phenotypic raw data for the LPS population evaluated under well watered conditions.

Genomic Bayesian prediction model for count data with Genotype × environment interaction

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...

Data.FBH.FinalF.RData

Feb 15, 2016 - Genomic Bayesian prediction model for count data with Genotype × environment interaction

Unknown - 33.4 KB -

R code for Model given in Equation.docx

Feb 15, 2016 - Genomic Bayesian prediction model for count data with Genotype × environment interaction

Unknown - 16.2 KB -

A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years

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...

HB.SREG.zip

Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years

Unknown - 15.5 KB -

Real Data.zip

Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years

Unknown - 7.8 KB -

Simulated Data.zip

Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years

Unknown - 5.3 KB -

Supplemental Figs. S1a-c and Figs. S2a-c.zip

Jan 25, 2016 - A hierarchical bayesian estimation model for multi-environment plant breeding trials in successive years

Unknown - 291.7 KB -