Skip to main content
Share Dataverse

Share this dataverse on your favorite social media networks.

Featured Dataverses

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

Find Advanced Search

41 to 50 of 59 Results
Apr 26, 2019
Baloua Nebie; Abdoulaye Diallo, 2019, "Agronomic performance of Sorghum margaritiferum Kende in the Guinean zone of Mali-West and Central Africa", https://doi.org/10.21421/D2/CHAUNT, ICRISAT Dataverse, V2, UNF:6:5pUyYs2wXzDD67W4tIS11A==
Sorghum bicolor, sub-race margaritiferum trial conducted by ICRISAT-Mali and IER in IER research station at Farako, Sikasso region in 2014. The objective was to identify sorghum varieties with very vitreous grains, adapted to Guinean zone where new variety has not been released m...
Jun 26, 2019
Erick Manyasa, 2019, "Data evaluation on tall Sorghum varieties for grain yield and drought tolerance", https://doi.org/10.21421/D2/0RWGN6, ICRISAT Dataverse, V1, UNF:6:/UZFFTLc8qG6Z9nB7tPMqw==
Evaluation of tall sorghum varieties for yield and drought tolerance took place in Kenya at ICRISAT Kiboko field station. The evaluation trial was set up in December 2017. The trial had 20 entries replicated three times , 19 varieties were evaluated for drought tolerance while on...
Jun 26, 2019
Erick Manyasa, 2019, "Evaluation of sorghum cultivars to determine their reaction to striga", https://doi.org/10.21421/D2/NIBHAU, ICRISAT Dataverse, V1, UNF:6:TGbz4BAc6RBBYdgXGdj4UQ==
The trial was conducted to evaluate the reaction of different sorghum varieties to striga. Significant losses in sorghum biomass and grain yield occur in sub‐Saharan Africa due to infection by the root‐parasitic weed Striga hermonthica. This trial will assist in selecting striga...
Jun 28, 2019
Angarawai Ignatius Ijantiku; Mary Yeye; Lawali Abubakar; Jonah Jerome, 2019, "Heterotic grouping of sorghum germplasm collection into their specific maturity group", https://doi.org/10.21421/D2/KDIG30, ICRISAT Dataverse, V1, UNF:6:5RQzQWe+dDL4tqOfV6k7tQ==
Collection of Nigerian Kaura and Fara Fara sorghum land races characterized for grain and seed qualities, height and flowering responses in Nigeria, to assess the germplasm capacity to serve as seed parent for hybrid sorghum development. Experiment location on Google Map
Jun 28, 2019
Hakeem Ayinde Ajeigbe; Folorunso Mathew Akinseye; Kunihya Ayuba; Jerome Jonah, 2019, "Productivity and water use efficiency of Sorghum [Sorghum bi color (L.) Moench] grown under different nitrogen applications in Sudan Savanna Zone, Nigeria", https://doi.org/10.21421/D2/NRCQKU, ICRISAT Dataverse, V1, UNF:6:d2fVh0QSvTuvCnTY6y1P8g==
To review the nutrient needs, especially N of some of selected sorghum varieties and their water use efficiency on marginal land. Experiment location on Google Map
Jul 2, 2019
Hakeem Ayinde Ajeigbe; Folorunso Mathew Akinseye; Ignatuis Angarawai; Shuaibu .A Ummah; Abubakar H. Inuwa; Aliyu Adinoyi; Abdulaziz Tukur, 2019, "Enhancing farmers’ access to technology and market for increased sorghum productivity in the selected staple crop processing zones", https://doi.org/10.21421/D2/ORJQWZ, ICRISAT Dataverse, V1, UNF:6:d5ekLSkilqpKXC4mvfhGYQ==
The Agricultural Transformation Agenda Support Program Phase 1 (AT ASP-1) of the Federal Government of Nigeria was launched m 2015 as a follow up to the previous. Agricultural Transformation Agenda (ATA). It is expected to create in 120.000 jobs along the value chain of priority...
Jul 3, 2019
Adinoyi Aliyu; Hakeem Ayinde Ajeigbe; Angarawai Ignatius Ijantiku; Ayuba Kunihya, 2019, "Effect of grain moisture content on the physical properties of some selected Sorghum varieties", https://doi.org/10.21421/D2/925P3S, ICRISAT Dataverse, V1, UNF:6:WWscEj6xsRVcqUsdvyN5Vg==
This study was targeted towards the determination of selected physical properties of ten sorghum varieties, compare these properties and investigate the relationship between the physical dimensions of the ten varieties as well as their relationship with moisture content. The find...
Jul 4, 2019
Hakeem Ayinde Ajeigbe; Folorunso Mathew Akinseye; Kunihya Ayuba; Jerome Jonah, 2019, "Productivity and water use efficiency of Sorghum [Sorghum bicolor (L.) Moench] grown under different nitrogen applications in Sudan Savanna Zone, Nigeria", https://doi.org/10.21421/D2/FATVHT, ICRISAT Dataverse, V1, UNF:6:d2fVh0QSvTuvCnTY6y1P8g==
Nitrogen (N) is an essential nutrient for sorghum growth and development but often becomes limiting due to low availability and loss. The effects of N fertilization on water use efficiency (WUE) and physiological and yield traits of sorghum were investigated in two locations over...
Jul 8, 2019
Samuel Njoroge; John Peter Takan; Elias Letayo; Patrick Okoth; Daniel Ajaku; Anil Kumar; Abhishek, Rathore; Henry Ojulong; Eric Manyasa, 2019, "Survey of fungal foliar and panicle diseases of Sorghum in important Argo-Ecological zones of Uganda", https://doi.org/10.21421/D2/LJF2IC, ICRISAT Dataverse, V1, UNF:6:2qXuyl01qv7ARxHa3+5aCg==
A survey was conducted in 2014 to determine the prevalence of fungal diseases on Sorghum across different agro-ecological zones in Uganda. In Uganda, 37 sorghum fields were sampled in Dodoma and Singida, provinces representing the central drier areas, and in Simiyu, Shinyanga, Mw...
Jul 8, 2019
Samuel Njoroge; John Peter Takan; Elias Letayo; Patrick Okoth; Daniel Ajaku; Anil Kumar; Abhishek, Rathore; Henry Ojulong; Eric Manyasa, 2019, "Survey of fungal foliar and panicle diseases of Sorghum in important Agro-Ecological zones of Tanzania", https://doi.org/10.21421/D2/KA1GQD, ICRISAT Dataverse, V1, UNF:6:7rMiHzgZsbOxgrLiBk7pdQ==
A survey was conducted in 2014 to determine the prevalence of fungal diseases on sorghum across different agro-ecological zones in Tanzania. In Tanzania, 37 sorghum fields were sampled in Dodoma and Singida Provinces representing the central drier areas, and in Simiyu, Shinyanga,...
Add Data

You need to Sign Up or Log In to create a dataverse or add a dataset.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.

Contact ICRISAT Dataverse Support

ICRISAT Dataverse Support

Please fill this out to prove you are not a robot.

+ =
Send Message