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Publication Status: Published

6,961 to 6,970 of 13,434 Results

Table_1B_data.xlsx.gz Aug 10, 2021 - Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems Gzip Archive - 69.1 KB - MD5: 9903f3cf9e6be3b874ff0fe9e2e59b58
Table_1C_data.xlsx.gz Aug 10, 2021 - Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems Gzip Archive - 68.0 KB - MD5: 492bc16a7bd50d4fc68fe86bfabbb962
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

Table_1B_data.xlsx.gz

Aug 10, 2021 - Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems

Gzip Archive - 69.1 KB -

Table_1C_data.xlsx.gz

Aug 10, 2021 - Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems

Gzip Archive - 68.0 KB -

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

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