CIMMYT Research Data

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.

1,951 to 1,960 of 10,613 Results

SeedMeteringEfficiency.xlsx Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia MS Excel Spreadsheet - 130.0 KB - MD5: e0fc4959b8d0d1209b2c4e0f88583ca1 Values of different maize seed metering devices that describe the ratio between the theoretical number of maize seeds expected and the real number of seeds delivered in different work speeds, inclinations, and vibrations.
SeedSizeMeasurement.xlsx Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia MS Excel Spreadsheet - 26.4 KB - MD5: 88e07ee3ddc03c4f73429ac0bdea4764 Parameter values for different maize seeds that describe their general dimensions.
SpatialSeedDistribution.xlsx Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia MS Excel Spreadsheet - 222.0 KB - MD5: fbd4aaa3bba26cfc0639abe797faf5d0 Values of different maize seed metering devices that describe the spatial distribution in a sowing row.
Replication data for: Increased ranking change in wheat breeding under climate change Mar 10, 2023 Xiong, Wei; Reynolds, Matthew; Crossa, Jose; Schulthess, Urs; Sonder, Kai; Montes, Carlo; Addimando, Nicoletta; Singh, Ravi; Ammar, Karim; Gerard, Bruno; Payne, Thomas, 2022, "Replication data for: Increased ranking change in wheat breeding under climate change", https://hdl.handle.net/11529/10548836, CIMMYT Research Data & Software Repository Network, V2 A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by cli...
Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Mar 9, 2023 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...
DS1.RData.gz Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Gzip Archive - 463.4 KB - MD5: 0b8b0306583f37d63c813b36de6bd7e0
DS2.RData.gz Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding Gzip Archive - 689.2 KB - MD5: 2719510ea9434fc834b2461edb605a53
Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Feb 14, 2023 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...
bldata.dta Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Stata Binary - 264.4 KB - MD5: 4714254b7c489906418c5e6c35e4bcef
prodlossfinal.do Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment Stata Syntax - 13.9 KB - MD5: 8c6a2eeb69a54011f51de281f0e9b48a

SeedMeteringEfficiency.xlsx

Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia

MS Excel Spreadsheet - 130.0 KB -

Values of different maize seed metering devices that describe the ratio between the theoretical number of maize seeds expected and the real number of seeds delivered in different work speeds, inclinations, and vibrations.

SeedSizeMeasurement.xlsx

Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia

MS Excel Spreadsheet - 26.4 KB -

Parameter values for different maize seeds that describe their general dimensions.

SpatialSeedDistribution.xlsx

Mar 27, 2023 - Replication Data for: A standard methodology for evaluation of mechanical maize seed meters for smallholder farmers comparing devices from Latin America, Sub-Saharan Africa, and Asia

MS Excel Spreadsheet - 222.0 KB -

Values of different maize seed metering devices that describe the spatial distribution in a sowing row.

Replication data for: Increased ranking change in wheat breeding under climate change

Mar 10, 2023

Xiong, Wei; Reynolds, Matthew; Crossa, Jose; Schulthess, Urs; Sonder, Kai; Montes, Carlo; Addimando, Nicoletta; Singh, Ravi; Ammar, Karim; Gerard, Bruno; Payne, Thomas, 2022, "Replication data for: Increased ranking change in wheat breeding under climate change", https://hdl.handle.net/11529/10548836, CIMMYT Research Data & Software Repository Network, V2

A standard quantitative genetic model was used to examine how genotype-environment interactions have changed over the past decades from four spring wheat trial data sets. The variability of cross interactions for yield from one year to another is explained in more than 70% by cli...

Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Mar 9, 2023

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...

DS1.RData.gz

Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Gzip Archive - 463.4 KB -

DS2.RData.gz

Mar 9, 2023 - Replication Data for: Multimodal Deep Learning Methods Enhance Genomic Prediction of Wheat Breeding

Gzip Archive - 689.2 KB -

Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Feb 14, 2023

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...

bldata.dta

Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Stata Binary - 264.4 KB -

prodlossfinal.do

Feb 14, 2023 - Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

Stata Syntax - 13.9 KB -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications