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

1,131 to 1,140 of 1,164 Results
Mar 9, 2023 - CIMMYT Research Data
Montesinos-López, Abelardo; Rivera Amado, Alma Carolina; Pinto, Francisco; Piñera Chavez, Francisco Javier; Gonzalez, David; Reynolds, Matthew; Pérez-Rodríguez, Paulino; Li, Huihui; Montesinos-López, Osval A.; Crossa, Jose, 2023, "Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding", https://hdl.handle.net/11529/10548885, CIMMYT Research Data & Software Repository Network, V1
In plant breeding research, several statistical machine learning methods have been developed and studied for assessing the genomic prediction (GP) accuracy of unobserved phenotypes. To increase the GP accuracy of unobserved phenotypes while simultaneously accounting for the compl...
Gzip Archive - 463.4 KB - MD5: 0b8b0306583f37d63c813b36de6bd7e0
Gzip Archive - 689.2 KB - MD5: 2719510ea9434fc834b2461edb605a53
Feb 14, 2023 - CIMMYT Research Data
Mottaleb, Khondoker, 2023, "Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment", https://hdl.handle.net/11529/10548859, CIMMYT Research Data & Software Repository Network, V1
Applying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following...
Stata Binary - 264.4 KB - MD5: 4714254b7c489906418c5e6c35e4bcef
Feb 13, 2023 - CIMMYT Research Data
Thierfelder, Christian; Baudron, Frédéric; Setimela, Peter; Nyagumbo, Isaiah; Mupangwa,Walr; Mhlanga, Blessing; Lee, Nicole; Gérard, Bruno, 2023, "Complementary practices supporting conservation agriculture in southern Africa. A review", https://hdl.handle.net/11529/10548834, CIMMYT Research Data & Software Repository Network, V1
Conservation agriculture (CA)—the simultaneous application of minimum soil disturbance, crop residue retention, and crop diversification—is a key approach to address declining soil fertility and the adverse effects of climate change in southern Africa. Applying the three defining...
Feb 12, 2023 - CIMMYT Research Data
Garza Sánchez, Enrique; Ramirez Ortega, María de Lourdes; Ramos Duana, Cristhian Antonio; Nuñez Jimenez, Daniel, 2023, "Agricultural terms from e-Agrology and their mapping with terms from OLS, AGROVOC and RHoMIS", https://hdl.handle.net/11529/10548850, CIMMYT Research Data & Software Repository Network, V2
e-Agrology is a system that leverages data generated in the agricultural production cycle to optimize resources and improve the decision-making process in the field. Furthermore, linking e-agrology terms with tools such as OLS, AGROVOC and RHoMIS would help increase the reach of...
Feb 10, 2023 - CIMMYT Research Data
Peña Castellón, Meliza; Donovan, Jason, 2023, "Maize seed businesses in Mexico", https://hdl.handle.net/11529/10548858, CIMMYT Research Data & Software Repository Network, V1
This research examines maize SMEs in Mexico that participated in MasAgro, and their capacity to produce new maize hybrids and commercialize these hybrids in a competitive seed market. For this research, 22 companies located in different regions of Mexico were interviewed. The sam...
Add Data

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

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.