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81 to 90 of 10,510 Results
57IBWSN, 42SAWSN, and 35HRWSN - Gene-based marker data for marker-assisted selection
Nov 19, 2025
Dreisigacker, Susanne, 2025, "57IBWSN, 42SAWSN, and 35HRWSN - Gene-based marker data for marker-assisted selection", https://doi.org/10.71682/10549361, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection .
57IBWSN, 42SAWSN, 35HRWSN_results.xlsx
Nov 19, 2025 - 57IBWSN, 42SAWSN, and 35HRWSN - Gene-based marker data for marker-assisted selection
MS Excel Spreadsheet - 279.9 KB - MD5: 23bfd6c14b644ef3ee255bc4a6207ff7
DataGenotypic data
2024 CIMMYT Maize Southern Africa Product Announcement
Sep 19, 2025
Zaman-Allah, Mainassara; Mhike, Xavier; Wegary, Dagne; Gethi, James; Ndhlela, Thokozile; Gowda, Manje; Cairns, Jill Elizabeth; Mandizvidza, Amen; Chitana, Toverengwa; Nyika Rwatirera; Hamadziripi, Esnath Tatenda; Suresh, L.M.; Das, Aparna; Davis, Nicholas; Prasanna, B.M., 2024, "2024 CIMMYT Maize Southern Africa Product Announcement", https://hdl.handle.net/11529/10549161, CIMMYT Research Data & Software Repository Network, V2
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Southern Africa and similar agro-ecological zones. Foll...
CIMMYT Southern Africa 2024 Maize Product Announcement.pdf
Sep 19, 2025 - 2024 CIMMYT Maize Southern Africa Product Announcement
Adobe PDF - 1.3 MB - MD5: 8ef73946ee0aa5906a7a7356b95756ee
Results of the 2021/22 and 2022/23 regional on-station trials and 2023/24 regional on-farm trials in Southern Africa, and announcement of 5 new elite maize hybrids.
Replication Data for: Mix and manage: Cultivar mixtures can maintain yield under high wheat blast disease pressure
Sep 10, 2025
Krupnik, Timothy; Harun-Or-Rashid, Md; Pandit, Dinabandhu; Islam, Rabiul; Hossain, Md. Khaled; Cunha Fernandes, José Mauricio; Roy, Krishna Kanta; Kabir, Muhammad Rezaul; Stuerz, Sabine; Singh, Pawan Kumar; Faruq, Golam, 2025, "Replication Data for: Mix and manage: Cultivar mixtures can maintain yield under high wheat blast disease pressure", https://hdl.handle.net/11529/10549179, CIMMYT Research Data & Software Repository Network, V1
Wheat blast disease, which began in South America, has now spread to Asia and Africa, posing a serious threat to food security. The first outbreak in Bangladesh occurred in 2016, leading to the release of the blast-resistant wheat variety BARI Gom 33. Although seeds for this vari...
221002 1st, 2nd and 3rd years data of Cultivar Mixture Trial_Jashore.xlsx
Sep 10, 2025 - Replication Data for: Mix and manage: Cultivar mixtures can maintain yield under high wheat blast disease pressure
MS Excel Spreadsheet - 715.0 KB - MD5: 95b1fe393646572ad30c3a5f8a9ae348
Ethiopian crop type 2020 (EthCT2020) dataset
Sep 10, 2025
Blasch, Gerald; Alemayehu, Yoseph; Lesne, Louise; Wolter, Jolan; Taymans, Matthieu; Tesfaye, Tsegaab; Negash, Tamirat; Andulalem, Mequanint; Gutu, Kitessa; Debela, Megersa; Eshetu, Zerihun; Tesfaye, Kindie; Mottaleb, Khondoker; Defourny, Pierre; Hodson, David, 2025, "Ethiopian crop type 2020 (EthCT2020) dataset", https://hdl.handle.net/11529/10549285, CIMMYT Research Data & Software Repository Network, V1
The observation of crop types is paramount for a myriad of agricultural and environmental remote sensing applications, including land use mapping, crop growth monitoring, and yield forecasting. Accurate georeferenced and quality-controlled crop type data is integral to the calibr...
EthCT2020.dbf
Sep 10, 2025 - Ethiopian crop type 2020 (EthCT2020) dataset
dBASE Table for ESRI Shapefile - 2.6 MB - MD5: ec5eeb471aa3b882aacf783f8e9d5f53
EthCT2020.prj
Sep 10, 2025 - Ethiopian crop type 2020 (EthCT2020) dataset
ESRI Shapefile - 401 B - MD5: 0234e8c390933195e1d0c82a13d16869
EthCT2020.shp
Sep 10, 2025 - Ethiopian crop type 2020 (EthCT2020) dataset
Shape - 5.3 MB - MD5: 80d04d71aa0bf735563f415f48c7fce7
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