CIMMYT Research Data & Software Repository Network

Metrics

433,380 Downloads

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Publication Status: Published

6,961 to 6,970 of 13,425 Results

Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs Aug 9, 2021 - CIMMYT Research Data Rosales, Aldo; Crossa, Jose; Cuevas, Jaime; Cabresa-Soto, Luisa; Dhliwayo, Thanda; Ndhela, Thokozile; Palacios-Rojas, Natalia, 2021, "Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs", https://hdl.handle.net/11529/10548607, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Sn+Cha1IESek2Vd+7+VhgA== [fileUNF] Vitamin A deficiency (VAD) is a public health problem worldwide. For countries with a high per capita consumption of maize, breeding varieties with higher provitamin A carotenoid content than normal yellow maize — biofortification — can be a viable strategy to reduce VAD. Selecti...
Data_set_1.tab Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs Tabular Data - 18.7 MB - 1063 Variables, 1857 Observations - UNF:6:ZQK2UcLI3fGg2v3VYmOp+Q==
Data_set_ 2.tab Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs Tabular Data - 3.9 MB - 1063 Variables, 390 Observations - UNF:6:TCI/By10b3OykBGer4hzPg==
Data_set_3.tab Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs Tabular Data - 6.5 MB - 1059 Variables, 650 Observations - UNF:6:zTYukiy9tAHQkDIYV77/xg==
Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices Aug 8, 2021 - CIMMYT Research Data Lopez-Cruz, Marco; Beyene, Yoseph; Gowda, Manje; Crossa, Jose; Pérez-Rodríguez, Paulino; de los Campos, Gustavo, 2021, "Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices", https://hdl.handle.net/11529/10548608, CIMMYT Research Data & Software Repository Network, V1 Genomic prediction models may be used in plant breeding pipelines. They are often calibrated using multi-generation data and there is an open question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Therefore, a study was und...
maize_multigeneration.RData Aug 8, 2021 - Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices Gzip Archive - 2.7 MB - MD5: 074b445bb26785f8e8695e84101ff496
README.txt Aug 8, 2021 - Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices Plain Text - 1.1 KB - MD5: eb2f5528b01c06b3b06e02b94956a38f Description of the data provided in the maize_multigeneration.RData file
28TH HRWYT-Empty FieldBook.xlsx.gz Aug 6, 2021 - 28th High Rainfall Wheat Yield Trial Gzip Archive - 66.4 KB - MD5: 170932e61461c61fc15cbed2344aad32 Fieldbook An empty Fieldbook designed for collecting trial data
41ESWYT-Empty FieldBook.xlsx.gz Aug 6, 2021 - 41st Elite Spring Wheat Yield Trial Gzip Archive - 66.3 KB - MD5: b5f30960b84132d959eb82c008d373cc Fieldbook An empty Fieldbook designed for collecting trial data
Data on farmers’ rice production practices during 2017 monsoon season from eastern states of India Aug 5, 2021 - Cereal Systems Initiative for South Asia (CSISA) Research Data Ajay, Anurag; Craufurd, Peter; Sharma, Sachin; Ranjan, Harshit; Samaddar, Arindam; Poudel, Gokul; Malik, RK; Singh, Balwinder; Panneerselvam, P; Singh, AK; Rai, Ashok; Keil, Alwin; McDonald, Andrew, 2021, "Data on farmers’ rice production practices during 2017 monsoon season from eastern states of India", https://hdl.handle.net/11529/10548605, CIMMYT Research Data & Software Repository Network, V1, UNF:6:kSBKzH9G+QMBbV7uXfhfOA== [fileUNF] Landscape Diagnostic Survey (LDS) for rice contains farmer's data on current production practices they applied for cultivating rice during 2017 monsoon season. The dataset contains 6857 farmers’ information captured from Bihar, Uttar Pradesh and Odisha states from eastern part of...

Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs

Aug 9, 2021 - CIMMYT Research Data

Rosales, Aldo; Crossa, Jose; Cuevas, Jaime; Cabresa-Soto, Luisa; Dhliwayo, Thanda; Ndhela, Thokozile; Palacios-Rojas, Natalia, 2021, "Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs", https://hdl.handle.net/11529/10548607, CIMMYT Research Data & Software Repository Network, V1, UNF:6:Sn+Cha1IESek2Vd+7+VhgA== [fileUNF]

Vitamin A deficiency (VAD) is a public health problem worldwide. For countries with a high per capita consumption of maize, breeding varieties with higher provitamin A carotenoid content than normal yellow maize — biofortification — can be a viable strategy to reduce VAD. Selecti...

Data_set_1.tab

Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs

Tabular Data - 18.7 MB - 1063 Variables, 1857 Observations -

Data_set_ 2.tab

Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs

Tabular Data - 3.9 MB - 1063 Variables, 390 Observations -

Data_set_3.tab

Aug 9, 2021 - Replication Data for: Bayesian linear regression near infrared spectroscopy (NIR) to predict provitamin A carotenoids content in maize breeding programs

Tabular Data - 6.5 MB - 1059 Variables, 650 Observations -

Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices

Aug 8, 2021 - CIMMYT Research Data

Lopez-Cruz, Marco; Beyene, Yoseph; Gowda, Manje; Crossa, Jose; Pérez-Rodríguez, Paulino; de los Campos, Gustavo, 2021, "Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices", https://hdl.handle.net/11529/10548608, CIMMYT Research Data & Software Repository Network, V1

Genomic prediction models may be used in plant breeding pipelines. They are often calibrated using multi-generation data and there is an open question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Therefore, a study was und...

maize_multigeneration.RData

Aug 8, 2021 - Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices

Gzip Archive - 2.7 MB -

README.txt

Aug 8, 2021 - Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices

Plain Text - 1.1 KB -

Description of the data provided in the maize_multigeneration.RData file

28TH HRWYT-Empty FieldBook.xlsx.gz

Aug 6, 2021 - 28th High Rainfall Wheat Yield Trial

Gzip Archive - 66.4 KB -

Fieldbook

An empty Fieldbook designed for collecting trial data

41ESWYT-Empty FieldBook.xlsx.gz

Aug 6, 2021 - 41st Elite Spring Wheat Yield Trial

Gzip Archive - 66.3 KB -

Fieldbook

An empty Fieldbook designed for collecting trial data

Data on farmers’ rice production practices during 2017 monsoon season from eastern states of India

Aug 5, 2021 - Cereal Systems Initiative for South Asia (CSISA) Research Data

Ajay, Anurag; Craufurd, Peter; Sharma, Sachin; Ranjan, Harshit; Samaddar, Arindam; Poudel, Gokul; Malik, RK; Singh, Balwinder; Panneerselvam, P; Singh, AK; Rai, Ashok; Keil, Alwin; McDonald, Andrew, 2021, "Data on farmers’ rice production practices during 2017 monsoon season from eastern states of India", https://hdl.handle.net/11529/10548605, CIMMYT Research Data & Software Repository Network, V1, UNF:6:kSBKzH9G+QMBbV7uXfhfOA== [fileUNF]

Landscape Diagnostic Survey (LDS) for rice contains farmer's data on current production practices they applied for cultivating rice during 2017 monsoon season. The dataset contains 6857 farmers’ information captured from Bihar, Uttar Pradesh and Odisha states from eastern part of...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications