CIMMYT Research Data

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

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761 to 770 of 954 Results

New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes Oct 22, 2018 Montesinos-López, Osval A.; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", https://hdl.handle.net/11529/10548140, CIMMYT Research Data & Software Repository Network, V1 The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.
Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico Oct 8, 2018 Sonder, Kai; Schulthess, Urs; Chomé, Guillaume, 2018, "Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico", https://hdl.handle.net/11529/10548137, CIMMYT Research Data & Software Repository Network, V1 Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studi...
Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices Oct 8, 2018 Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", https://hdl.handle.net/11529/10548136, CIMMYT Research Data & Software Repository Network, V1 This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.
Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits Sep 28, 2018 Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1 This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.
Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models Sep 21, 2018 Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1 Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...
CIMMYT Climate Data: Meteorological Station at Tlaltizapan CIMMYT Office Jun 28, 2018 Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Tlaltizapan CIMMYT Office", https://hdl.handle.net/11529/10548096, CIMMYT Research Data & Software Repository Network, V3, UNF:6:7ZBX+BGOf1xIqm4qJocIew== [fileUNF] CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...
CIMMYT Climate Data: Meteorological Station at Toluca CIMMYT Office Jun 25, 2018 Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Toluca CIMMYT Office", https://hdl.handle.net/11529/10548092, CIMMYT Research Data & Software Repository Network, V1, UNF:6:qvCsEr3Sxj/Ao+UX2uGiKg== [fileUNF] CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...
CIMMYT Climate Data: Meteorological Station at CENEB CIMMYT Office Jun 25, 2018 Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at CENEB CIMMYT Office", https://hdl.handle.net/11529/10548098, CIMMYT Research Data & Software Repository Network, V2, UNF:6:exDn1RAkCmU/XBzhhIjfvQ== [fileUNF] CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...
CIMMYT Climate Data: MASAGRO Meteorological Station at Centro Experimental Iguala INIFAP Jun 25, 2018 Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: MASAGRO Meteorological Station at Centro Experimental Iguala INIFAP", https://hdl.handle.net/11529/10548097, CIMMYT Research Data & Software Repository Network, V2 CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...
CIMMYT Climate Data: Meteorological Station at Agua Fría CIMMYT Office Jun 25, 2018 Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Agua Fría CIMMYT Office", https://hdl.handle.net/11529/10548093, CIMMYT Research Data & Software Repository Network, V3, UNF:6:6drcLjbb616fdHw7k1ji4w== [fileUNF] CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...

New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes

Oct 22, 2018

Montesinos-López, Osval A.; Martín-Vallejo, Javier; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Montesinos-López, Abelardo; Juliana, Philomin; Singh, Ravi, 2018, "New deep learning genomic prediction model for multi-traits with mixed binary, ordinal, and continuous phenotypes", https://hdl.handle.net/11529/10548140, CIMMYT Research Data & Software Repository Network, V1

The seven data sets are wheat data from CIMMYT Global Wheat Breeding program. They comprise different traits, like days to heading, days to maturity, grain yield, grain color, different type of leaf and stripe rust in wheat. Also the trials were run in different environments.

Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico

Oct 8, 2018

Sonder, Kai; Schulthess, Urs; Chomé, Guillaume, 2018, "Evaluating Radar Satellite Based Remote Sensing for Conservation Agriculture Adoption Detection in North and Central Mexico", https://hdl.handle.net/11529/10548137, CIMMYT Research Data & Software Repository Network, V1

Conservation agriculture has been tested and out scaled for over 60 years in rural areas of Mexico, however the rate of adoption and dis adoption, as well as the current area under CA is unknown. Estimates range between 50,000 ha and over 800,000 ha depending on the source. Studi...

Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices

Oct 8, 2018

Cerón-Rojas, J.Jesús; Toledo, Fernando; Crossa, Jose, 2018, "Supplemental Materials for The Relative Efficiency of Three Constrained Multistage Linear Phenotypic Selection Indices", https://hdl.handle.net/11529/10548136, CIMMYT Research Data & Software Repository Network, V1

This dataset provides supplemental information related to an investigation of constrained multistage linear phenotypic selection indices.

Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Sep 28, 2018

Montesinos-López, Osval A.; Montesinos-López, Abelardo; Crossa, Jose; Gianola, Daniel; Hernández-Suarez, Carlos Moisés; Martín-Vallejo, Javier, 2018, "Supplemental data for multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548134, CIMMYT Research Data & Software Repository Network, V1

This study provides supplemental data to support an investigation of the power of multi-trait deep learning (MTDL) models in terms of genomic-enabled prediction accuracy.

Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models

Sep 21, 2018

Basnet, Bhoja Raj; Crossa, Jose; Pérez-Rodríguez, Paulino; Manes, Yann; Singh, Ravi; Rosyara, Umesh; Camarillo-Castillo, Fatima; Murua, Mercedes, 2018, "Supplemental data for hybrid wheat prediction using genomic, pedigree and environmental covariables interaction models", https://hdl.handle.net/11529/10548129, CIMMYT Research Data & Software Repository Network, V1

Genomic prediction of hybrids unobserved in field evaluations is crucial. In this study, we used genomic G×E models for hybrid prediction, where similarity between lines was assessed by pedigree and molecular markers, and similarity between environments was accounted for by envir...

CIMMYT Climate Data: Meteorological Station at Tlaltizapan CIMMYT Office

Jun 28, 2018

Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Tlaltizapan CIMMYT Office", https://hdl.handle.net/11529/10548096, CIMMYT Research Data & Software Repository Network, V3, UNF:6:7ZBX+BGOf1xIqm4qJocIew== [fileUNF]

CIMMYT has Meteorological Records for each station office in Mexico. Many variables of weather are measured per day (rawdata) from which daily, monthly and yearly sumaries are generated. These climate variables are measured by meteorological station and some of them are shown dai...

CIMMYT Climate Data: Meteorological Station at Toluca CIMMYT Office

Jun 25, 2018

Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Toluca CIMMYT Office", https://hdl.handle.net/11529/10548092, CIMMYT Research Data & Software Repository Network, V1, UNF:6:qvCsEr3Sxj/Ao+UX2uGiKg== [fileUNF]

CIMMYT Climate Data: Meteorological Station at CENEB CIMMYT Office

Jun 25, 2018

Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at CENEB CIMMYT Office", https://hdl.handle.net/11529/10548098, CIMMYT Research Data & Software Repository Network, V2, UNF:6:exDn1RAkCmU/XBzhhIjfvQ== [fileUNF]

CIMMYT Climate Data: MASAGRO Meteorological Station at Centro Experimental Iguala INIFAP

Jun 25, 2018

Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: MASAGRO Meteorological Station at Centro Experimental Iguala INIFAP", https://hdl.handle.net/11529/10548097, CIMMYT Research Data & Software Repository Network, V2

CIMMYT Climate Data: Meteorological Station at Agua Fría CIMMYT Office

Jun 25, 2018

Geographic Information Systems Unit of CIMMYT, 2018, "CIMMYT Climate Data: Meteorological Station at Agua Fría CIMMYT Office", https://hdl.handle.net/11529/10548093, CIMMYT Research Data & Software Repository Network, V3, UNF:6:6drcLjbb616fdHw7k1ji4w== [fileUNF]

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