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521 to 530 of 10,510 Results
BD South-Bangladesh Houshold processed survey 2023 CIMMYT.xlsx
Feb 13, 2024 - Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 1.3 MB - MD5: 35e30dd3fcbd71f33ae5a995cae32b93
BD West-Bangladesh Houshold processed survey 2023 CIMMYT.xlsx
Feb 13, 2024 - Analysis of Household-Level Survey Data: Farm Characteristics and Resource Allocation in Three Regions of Bangladesh (2023)
MS Excel Spreadsheet - 1.1 MB - MD5: 676543a2ab2fb142616d1560d076acbf
Digital Agricultural Innovation Survey - India 2023
Jan 24, 2024
Nagaraji, Satish; Nuñez Jimenez, Daniel; Gardeazabal Monsalue, Andrea, 2024, "Digital Agricultural Innovation Survey - India 2023", https://hdl.handle.net/11529/10548992, CIMMYT Research Data & Software Repository Network, V1
The database compiles information on the adoption of digital innovations in agriculture in India, sourced from surveys conducted between June and November 2023. It includes data gathered from 69 organizations, encompassing details about organizational profiles, types of digital i...
India-Rapid Asessment - anonymized.xlsx
Jan 24, 2024 - Digital Agricultural Innovation Survey - India 2023
MS Excel Spreadsheet - 35.0 KB - MD5: e42818d1c6550a937b2ab5cc110ddef8
TAFSSA On-Farm Datasets Haryana-India
Jan 22, 2024
Gathala, Mahesh Kumar, 2024, "TAFSSA On-Farm Datasets Haryana-India", https://hdl.handle.net/11529/10549004, CIMMYT Research Data & Software Repository Network, V1
TAFSSA On-Farm participatory research trials on diversified cropping systems in three villages of Karnal districts to provide nutritional and resilient systems. The on-farm data completed three crop seasons and one cropping cycle. The data sets cover crop yields, water, input use...
TAFSSA On-farm data Haryana.xlsx
Jan 22, 2024 - TAFSSA On-Farm Datasets Haryana-India
MS Excel Spreadsheet - 139.8 KB - MD5: 40fdef3b8774ab61b1f7e85bedd6eb89
TAFSSA On-Farm data on crops yields, input, nutritional data and input use efficiencies
Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal
Jan 22, 2024
Gathala, Mahesh Kumar, 2024, "Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal", https://hdl.handle.net/11529/10549001, CIMMYT Research Data & Software Repository Network, V1
Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal. These datasets covered all experimental data of TAFSSA On-station experiment on diversified cropping systems from...
TAFSSA-Karnal On-station data sheets.XLSX
Jan 22, 2024 - Sustainable Intensification options for Transforming Agrifood Systems in Western IGP to Address Food and Nutritional Security, Research Platform, ICAR-CSSRI, Karnal
MS Excel Spreadsheet - 2.8 MB - MD5: a922742c63c201214b6dc414be010603
Data
TAFSSA On-station ICAR-CSSRI datasets
Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour
Jan 19, 2024
Hernández-Espinosa, Nayelli; Posadas-Romano, Gabriel; Dreisigacker, Susanne; Crossa, Jose; Crespo, Leonardo; Ibba, Maria Itria, 2024, "Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour", https://hdl.handle.net/11529/10548997, CIMMYT Research Data & Software Repository Network, V1
This dataset is derived from a study focused on developing an efficient method for arabinoxylan quantification, called PentoQuant. It includes phenotypic and molecular characterization data from 606 bread wheat samples developed through the spring bread wheat breeding program. Th...
Research Data.xlsx.gz
Jan 19, 2024 - Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour
Gzip Archive - 56.5 KB - MD5: 4e7b715e8052292437e64bd404d08e10
DataGenotypic dataPhenotypic data
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