Free, open access repository of research studies developed by CIMMYT scientists.
Featured Dataverses

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

Advanced Search

221 to 230 of 10,526 Results
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
CBBW (EYT_CBBW) 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 - 2.8 MB - MD5: 95376828ab420b09e2774adb19ff7d25
DataQuality data
CBBW Pipelines 1-3 Y.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 - 3.7 MB - MD5: f8a404470aafacee450e24c5b9dc5ccc
DataQuality data
CBBW Pipelines 2-4 Y.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 - 3.1 MB - MD5: af40628a7de748d168317a809771defa
DataQuality data
CBBW(C56IBWSN) Y.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 - 2.3 MB - MD5: 77a98142e8b7f88c5ad9bc9a9c934c6c
DataQuality data
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

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.