QualiSud a pour objectif de développer une démarche intégrée pour la production et la préservation de produits et d'aliments de qualité organoleptique, sanitaire et nutritionnelle optimales.
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791 to 800 of 800 Results
Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:TqAg5Fs2ZDDGiytwnHZaFQ==
30 sept. 2022 - RTBfoods Project
Nuwamanya, Ephraim; Iragaba, Paula; Kawuki, Robert; Nanyojo, Ann Ritah; Khakasa, Elizabeth, 2022, "Descriptive sensory analysis data for boiled cassava roots in Uganda.", https://doi.org/10.18167/DVN1/VFKFUR, CIRAD Dataverse, V1, UNF:6:6j1NmfLpObAYRiEs2frcQA== [fileUNF]
This file contains descriptive sensory data of boiled cassava that was collected using panel trained following a standardized methodology. The data was collected by NaCCRI team in Uganda using RTBfoods standard operating procedures developed in work package 2 for the use by train...
Tabular Data - 2,5 KB - 4 Variables, 26 Observations - UNF:6:6j1NmfLpObAYRiEs2frcQA==
This file contains descriptive sensory data of boiled cassava that was collected using panel trained following a standardized methodology https://doi.org/10.18167/agritrop/00573. The data was collected by NaCCRI team in Uganda using RTBfoods standard operating procedures develope...
30 sept. 2022 - RTBfoods Project
Adinsi, Laurent; Akissoe, Noël, 2022, "Descriptive sensory analysis data for boiled yam in Benin.", https://doi.org/10.18167/DVN1/6UMNFF, CIRAD Dataverse, V1, UNF:6:oHksbcGS4k+r90C4K0IOXQ== [fileUNF]
This file contains descriptive sensory data of boiled yam that was collected using panel trained following a standardized methodology. The data was collected by UAC-FSA team in Benin using RTBfoods standard operating procedures developed in work package 2 for the use by trained s...
Tabular Data - 2,3 KB - 2 Variables, 27 Observations - UNF:6:oHksbcGS4k+r90C4K0IOXQ==
30 sept. 2022 - RTBfoods Project
Nakitto, Mariam, 2022, "Descriptive sensory analysis data for boiled sweetpotato in Uganda", https://doi.org/10.18167/DVN1/WG5YOT, CIRAD Dataverse, V1, UNF:6:g2whHhEx8a3NNLyW11NwZw== [fileUNF]
This file contains descriptive sensory data of sweetpotato that was collected using panel trained following a standardized methodology. The data was collected by CIP team in Uganda using RTBfoods standard operating procedures developed in work package 2 for the use by trained sen...
Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:g2whHhEx8a3NNLyW11NwZw==
30 sept. 2022 - RTBfoods Project
Khakasa, Elizabeth, 2022, "Descriptive sensory analysis data for steamed matooke in Uganda", https://doi.org/10.18167/DVN1/XGTNOL, CIRAD Dataverse, V1, UNF:6:Vqksk64fpQULl1r4tg231Q== [fileUNF]
This file contains descriptive sensory data of steamed matooke that was collected using panel trained following a standardized methodology. The data was collected by NARL team in Uganda using RTBfoods standard operating procedures developed in work package 2 for the use by traine...
Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:Vqksk64fpQULl1r4tg231Q==
RTBfoods Project(CIRAD-Centre de coopération internationale en recherche agronomique pour le développement)
RTBfoods Project logo
21 juin 2022
RTBfoods project: Breeding RTB products for end user preferences The RTBfoods project is implemented with five partner countries: Benin, Cameroon, Ivory Coast, Nigeria and Uganda. It analyzes three common uses of each target root, tuber and banana crops (cassava, yam, sweet potat...
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