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201 to 210 of 10,508 Results
Followup.dta
May 12, 2025 - Replication Data for: Consumer acceptance of foods derived from blended wheat flour in Nairobi, Kenya
Stata Binary - 7.2 MB - MD5: 8a6e6e28aea403a779fb9bd838931180
Mainsurvey.dta
May 12, 2025 - Replication Data for: Consumer acceptance of foods derived from blended wheat flour in Nairobi, Kenya
Stata Binary - 15.0 MB - MD5: 69bf2c3cd22125657372380c3b69fe70
2018 CIMMYT Product Announcement and Results of the Maize Regional On-Station Trials for Southern Africa for 2018
2018 CIMMYT Product Announcement and Results of the Maize Regional On-Station Trials for Southern Africa for 2018
May 5, 2025
Tarekegne, Amsal; Dagne, Wegary; Mainassara, Zaman-Allah; Suresh, L.M.; Cairns, Jill; Magorokosho, Cosmos; Ndhlela, Thokozile; Teklewold, Adefris; Jumbo, MacDonald Bright; Beyene, Yoseph; Olsen, Michael; Mugo, Stephen; Prasanna, B.M., 2025, "2018 CIMMYT Product Announcement and Results of the Maize Regional On-Station Trials for Southern Africa for 2018", https://hdl.handle.net/11529/10548418, CIMMYT Research Data & Software Repository Network, V1
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...
2018 CIMMYT-SARO Regional Trials Results and Products Announcement (with appendices).pdf
2018 CIMMYT-SARO Regional Trials Results and Products Announcement (with appendices).pdf
May 5, 2025 - 2018 CIMMYT Product Announcement and Results of the Maize Regional On-Station Trials for Southern Africa for 2018
Adobe PDF - 729.0 KB - MD5: dbad1f32d2b579179d342fb559b2bcd6
2025 CIMMYT Maize Eastern Africa Product Announcement
Apr 30, 2025
Tadesse Ertiro, Berhanu; Beyene, Yoseph; Makumbi, Dan; Teklewold, Adefris; Suresh, L.M.; Gowda, Manje; Chaikam, Vijay; Chivasa, Walter; Rutsaert, Pieter; Muindi, Pauline; Kurgat, Kiplagat; Negera, Demewoz; Dufera Tulu, Gedefa; Hilda Kavai; Andrew Chavangi; Isaiah Aleri; Burgueño, Juan; Davis, Nicholas; Davis, Aparna; Prasanna, B.M., 2025, "2025 CIMMYT Maize Eastern Africa Product Announcement", https://doi.org/10.71682/10549318, CIMMYT Research Data & Software Repository Network, V1
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 eastern Africa and similar agro-ecological zones. Follo...
CIMMYT Eastern Africa 2025 Maize Product Announcement.pdf
Apr 30, 2025 - 2025 CIMMYT Maize Eastern Africa Product Announcement
Adobe PDF - 3.5 MB - MD5: 1280c2e6e4b83b6e07cb8df40c9d1bbf
Results of the CIMMYT Eastern Africa Maize Regional On-Station (2023 Stage 4) and On-Farm (2024 Stage 5) Trials
T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Apr 16, 2025
Li, Lei; Tian, Wenfei; Zhao, Zihui; Xiao, Yonggui; Zhang, Yong; Liu, Jindong; Govindan, Velu; He, Zhonghu; Ibba, Maria Itria, 2025, "T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy", https://doi.org/10.71682/10549315, CIMMYT Research Data & Software Repository Network, V1
Near infrared spectroscopy and quality data generated to develop prediction models for bread loaf volume.
C56IBWSN Y 20-21 (Antaris)(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 13.4 MB - MD5: ed165eb61d21b2298e7d1c751c50690a
DataQuality data
C57IBWSN Y 21-22 (Antaris)(QData+NIR).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 9.9 MB - MD5: 92d7b9c707baadcce38048d9de9dbf80
DataQuality data
C58IBWSN Y 22-23 (Antaris)(Hoja1).csv
Apr 16, 2025 - T10SLRE: A novel ensemble learning approach for rapid and non-destructive prediction of bread loaf volume in wheat using NIR spectroscopy
Comma Separated Values - 11.6 MB - MD5: aa1ec2dce516be5a84de9ca315cce7c3
DataQuality data
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