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Publication Status: Published

13,221 to 13,230 of 13,427 Results

LP_Multiloc_14A_RR_V2.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 - 476.5 KB - MD5: fc1c2f6bf3417d05f516ef017fe9a27d Phenotypic Data File containing phenotypic raw data for the LPS population evaluated under drought stressed conditions.
LPS-RR.xls 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.) 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
LPS-WW.xls 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.) 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
Multiloc_DTP_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 - 171.6 KB - MD5: e8e56bb969712cf7bda883c9fe697924 Phenotypic Data File containing phenotypic raw data for the DTP population evaluated under well watered conditions.
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

LP_Multiloc_14A_RR_V2.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 - 476.5 KB -

Phenotypic Data

File containing phenotypic raw data for the LPS population evaluated under drought stressed conditions.

LPS-RR.xls

Unknown - 2.1 MB -

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

LPS-WW.xls

Unknown - 2.1 MB -

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

Multiloc_DTP_WW_14A.csv

Plain Text - 171.6 KB -

Phenotypic Data

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

Multiloc_LP_WW_14A----.csv

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 -

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