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6,811 to 6,820 of 12,513 Results

53RD IBWSN-Empty FieldBook.xlsx.gz Aug 10, 2021 - 53rd International Bread Wheat Screening Nursery Gzip Archive - 76.3 KB - MD5: 9ba6ce8141c3ecdf85cdeb739188837c Fieldbook An empty Fieldbook designed for collecting trial data
19HTWYT-Empty FieldBook.xlsx.gz Aug 10, 2021 - 19th High Temperature Wheat Yield Trial Gzip Archive - 67.2 KB - MD5: eb4453ced43bb51f66f4be4f1c196d76 Fieldbook An empty Fieldbook designed for collecting trial data
Table_1A_data.xlsx.gz Aug 10, 2021 - Replication Data for: Incorporating male sterility increases hybrid maize yield in low input African farming systems Gzip Archive - 260.5 KB - MD5: 922c0f9053d3a5a377f39be0c8754dac
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...

53RD IBWSN-Empty FieldBook.xlsx.gz

Aug 10, 2021 - 53rd International Bread Wheat Screening Nursery

Gzip Archive - 76.3 KB -

Fieldbook

An empty Fieldbook designed for collecting trial data

19HTWYT-Empty FieldBook.xlsx.gz

Aug 10, 2021 - 19th High Temperature Wheat Yield Trial

Gzip Archive - 67.2 KB -

Fieldbook

An empty Fieldbook designed for collecting trial data

Table_1A_data.xlsx.gz

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

Gzip Archive - 260.5 KB -

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...

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