CIMMYT Research Data

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

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1,861 to 1,870 of 10,526 Results

SeedAverageWeight.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 - 11.2 KB - MD5: 9bf851d4e12f4c2444a8123e548d3e53 Parameter values for different maize seeds that describe their weight.
SeedDensityMeasurement.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 - 12.5 KB - MD5: 55347e117a515edab3cb7114425f1b6c Parameter values for different maize seeds that describe their density.
SeedDistributionCurves.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 - 27.2 KB - MD5: c2d2aa848287bcc63270dd204782200e Parameter values for different maize seed metering that describes their performance under different working speeds.
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

SeedAverageWeight.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 - 11.2 KB -

Parameter values for different maize seeds that describe their weight.

SeedDensityMeasurement.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 - 12.5 KB -

Parameter values for different maize seeds that describe their density.

SeedDistributionCurves.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 - 27.2 KB -

Parameter values for different maize seed metering that describes their performance under different working speeds.

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 -

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