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361 to 370 of 372 Results
Replication Data for: Efficient Arabinoxylan Assay for Wheat: Exploring Variability and Molecular Marker Associations in Wholemeal and Refined Flour
Jan 19, 2024 - CIMMYT Research Data
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
56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection
Jan 11, 2024 - CIMMYT Research Data
Dreisigacker, Susanne, 2024, "56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection", https://hdl.handle.net/11529/10548995, CIMMYT Research Data & Software Repository Network, V1
Gene-based marker data from international screening nurseries for marker-assisted selection
56IBWSN, 41SAWSN, 34HRWSN_results.xlsx.gz
Jan 11, 2024 - 56IBWSN, 41SAWSN, and 34HRWSN - Gene-based marker data for marker-assisted selection
Gzip Archive - 316.5 KB - MD5: 9eb54f021acad67b718d5c4b854deb36
DataGenotypic data
Digital Agricultural Innovation Survey - Kenya 2023
Jan 6, 2024 - CIMMYT Research Data
Kimenju, Simon; Waithira, Joyce; Nagaraji, Satish; Nuñez Jimenez, Daniel; Gardeazábal-Monsalve, Andrea, 2024, "Digital Agricultural Innovation Survey - Kenya 2023", https://hdl.handle.net/11529/10548991, CIMMYT Research Data & Software Repository Network, V1
The dataset provides detailed information regarding the implementation of digital technologies in the agricultural domain. It encompasses variables spanning a wide spectrum, from organizational details to the potential impact on various stakeholders within the agricultural sector...
Data_RapidAssessmentKenya.csv
Jan 6, 2024 - Digital Agricultural Innovation Survey - Kenya 2023
Comma Separated Values - 107.2 KB - MD5: eb53771593e18ba7ff4622e89c0fa519
Data_RapidAssessmentKenya.dta
Jan 6, 2024 - Digital Agricultural Innovation Survey - Kenya 2023
Stata Binary - 367.1 KB - MD5: 95a326fe9775457cd0d943be3bd4fc85
Encuesta de Innovación Agrícola Digital - Guatemala y Honduras 2023
Jan 6, 2024 - CIMMYT Research Data
Giraldo Mendez, Diana Carolina; Barillas, María Erla; Godoy, Marcelo; Redondo, Jorge Andrés; Bonilla, Melissa; Flores, Anne-Lyse; Ríos, David; Navarro Racines, Carlos Eduardo; Obando Bonilla, Diego; Gardeazábal-Monsalve, Andrea; Ramírez-Villegas, Julián; Muller, Anna, 2024, "Encuesta de Innovación Agrícola Digital - Guatemala y Honduras 2023", https://hdl.handle.net/11529/10548990, CIMMYT Research Data & Software Repository Network, V1
Se llevó a cabo un estudio para analizar la red de actores y proveedores de información digital en sistemas agroalimentarios, identificando colaboraciones, tipos de datos, desafíos en su gestión y habilidades en su análisis. Se recopiló información de 490 contactos de diferentes...
231223_BDGeneral_Contactos_Actores-GT.xlsx
Jan 6, 2024 - Encuesta de Innovación Agrícola Digital - Guatemala y Honduras 2023
MS Excel Spreadsheet - 248.7 KB - MD5: 2972133510d15f7fc2a821753a750013
231223_BDGeneral_Contactos_Actores-HN.xlsx
Jan 6, 2024 - Encuesta de Innovación Agrícola Digital - Guatemala y Honduras 2023
MS Excel Spreadsheet - 241.4 KB - MD5: 6051166b87f4c033643fda0b2821bad7
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