CIMMYT Research Data

Free, open access repository of research studies developed by CIMMYT scientists.

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10,341 to 10,350 of 10,508 Results

BLUPs_for_putative_optimal_nitrogen_treatment.csv Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Plain Text - 299.4 KB - MD5: 60ae6d901363623bb2217ffa39755d8f Analyzed Data - BLUPs Best linear unbiased predictions based on phenotypic measurements for one season
BLUPs_for_putative_reduced_nitrogen_treatment.csv Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Plain Text - 289.7 KB - MD5: 13f2ba22861eb80564105c8e3c34ac99 Analyzed Data - BLUPs Best linear unbiased predictions based on phenotypic measurements for one season
Field_Map_for_putative_optimal_nitrogen_treatment.xlsx Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Unknown - 19.4 KB - MD5: afb625cb7f50182b61570ee021fdbeed Field Map
Field_Map_for_putative_reduced_nitrogen_treatment.xlsx Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Unknown - 17.9 KB - MD5: 0dc833d36d938585ea3645aa51fbf14e Field Map
Hoja de manejo B1 alto nitrogeno.xlsx Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Unknown - 13.4 KB - MD5: 320f683e17c56c23d90db7a4c4d73fb9 Management Sheets A description of the field management practices for the optimal nitrogen fields (in Spanish).
Hoja de manejo B1 cero nitrogeno.xlsx Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Unknown - 13.3 KB - MD5: 82396572464a3563c78716540781d0c8 Management Sheets A description of the field management practices for the low nitrogen fields (in Spanish). It does not include the information about the application of the foliar ferrous sulfate solution with agar.
Tlaltizapan_2011B_Data_Dictionary.csv Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México Plain Text - 7.3 KB - MD5: 46c4c4d63bcc2ab1b4709904510c009a Data Dictionary
Genomic prediction of marker × environment interaction Kernel regression models Dec 18, 2015 Cuevas, Jaime; Crossa, Jose; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2015, "Genomic prediction of marker × environment interaction Kernel regression models", https://hdl.handle.net/11529/10580, CIMMYT Research Data & Software Repository Network, V1 The marker × environment interaction (M×E) decomposes the marker effects into main effects and interaction environmental-specific effects. The M×E interaction may be modeled through a linear kernel (Genomic Best Linear Unbiased Predictor, GBLUP) or with non-linear Gaussian kernel...
MAIZ.Rdata Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models Unknown - 3.7 MB - MD5: 7b2f980ed53e897325b368ae7d142d27
TRIGO.Rdata Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models Unknown - 5.2 MB - MD5: 549a623d10678fc1a10f16934e9e0076

BLUPs_for_putative_optimal_nitrogen_treatment.csv

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Plain Text - 299.4 KB -

Analyzed Data - BLUPs

Best linear unbiased predictions based on phenotypic measurements for one season

BLUPs_for_putative_reduced_nitrogen_treatment.csv

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Plain Text - 289.7 KB -

Analyzed Data - BLUPs

Best linear unbiased predictions based on phenotypic measurements for one season

Field_Map_for_putative_optimal_nitrogen_treatment.xlsx

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Unknown - 19.4 KB -

Field Map

Field_Map_for_putative_reduced_nitrogen_treatment.xlsx

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Unknown - 17.9 KB -

Field Map

Hoja de manejo B1 alto nitrogeno.xlsx

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Unknown - 13.4 KB -

Management Sheets

A description of the field management practices for the optimal nitrogen fields (in Spanish).

Hoja de manejo B1 cero nitrogeno.xlsx

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Unknown - 13.3 KB -

Management Sheets

A description of the field management practices for the low nitrogen fields (in Spanish). It does not include the information about the application of the foliar ferrous sulfate solution with agar.

Tlaltizapan_2011B_Data_Dictionary.csv

Dec 20, 2015 - Evaluation of Seeds of Discovery-MasAgro Biodiversidad Testcross Germplasm in 2011B in Tlaltizapán, México

Plain Text - 7.3 KB -

Data Dictionary

Genomic prediction of marker × environment interaction Kernel regression models

Dec 18, 2015

Cuevas, Jaime; Crossa, Jose; Soberanis, Víctor; Pérez-Elizalde, Sergio; Pérez-Rodríguez, Paulino; Campos, Gustavo de los, 2015, "Genomic prediction of marker × environment interaction Kernel regression models", https://hdl.handle.net/11529/10580, CIMMYT Research Data & Software Repository Network, V1

The marker × environment interaction (M×E) decomposes the marker effects into main effects and interaction environmental-specific effects. The M×E interaction may be modeled through a linear kernel (Genomic Best Linear Unbiased Predictor, GBLUP) or with non-linear Gaussian kernel...

MAIZ.Rdata

Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models

Unknown - 3.7 MB -

TRIGO.Rdata

Dec 18, 2015 - Genomic prediction of marker × environment interaction Kernel regression models

Unknown - 5.2 MB -

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