UMR QualiSud

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.

RTBfoods Project

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581 to 590 of 590 Results

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR FUFU_NRCRI_NIGERIA. JAN 2022.xls 30 sept. 2022 - Descriptive sensory analysis data for Fufu in Nigeria MS Excel Spreadsheet - 387,5 KB - MD5: 5f29c1738140349710521f45306540fb
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR FUFU_NRCRI_NIGERIA. JULY 2022.xls 30 sept. 2022 - Descriptive sensory analysis data for Fufu in Nigeria MS Excel Spreadsheet - 926,0 KB - MD5: 03cecaae17aff338510cb924160fbd3d
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR EBA_IITA_NIGERIA.tab 30 sept. 2022 - Descriptive sensory analysis data for Eba in Nigeria Tabular Data - 2,4 KB - 4 Variables, 26 Observations - UNF:6:l1n+sNZeGsHyhqXsl2fzug==
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR POUNDED YAM_BOWEN_NIGERIA.tab 30 sept. 2022 - Descriptive sensory analysis data for pounded yam in Nigeria Tabular Data - 2,5 KB - 4 Variables, 26 Observations - UNF:6:ZW7paQ6iHyEOlViv8Wcg5Q==
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED CASSAVA_BENIN.tab 30 sept. 2022 - Descriptive sensory analysis data for boiled cassava roots in Benin. Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:TqAg5Fs2ZDDGiytwnHZaFQ==
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED CASSAVA_NaCRRI_UGANDA.tab 30 sept. 2022 - Descriptive sensory analysis data for boiled cassava roots in Uganda. 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...
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED YAM_BENIN.tab 30 sept. 2022 - Descriptive sensory analysis data for boiled yam in Benin. Tabular Data - 2,3 KB - 2 Variables, 27 Observations - UNF:6:oHksbcGS4k+r90C4K0IOXQ==
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED SWEET POTATO_CIP_UGANDA.tab 30 sept. 2022 - Descriptive sensory analysis data for boiled sweetpotato in Uganda Tabular Data - 2,3 KB - 4 Variables, 26 Observations - UNF:6:g2whHhEx8a3NNLyW11NwZw==
QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR STEAMED MATOOKE_NARL_UGANDA.tab 30 sept. 2022 - Descriptive sensory analysis data for steamed matooke in Uganda 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) 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...

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR FUFU_NRCRI_NIGERIA. JAN 2022.xls

30 sept. 2022 - Descriptive sensory analysis data for Fufu in Nigeria

MS Excel Spreadsheet - 387,5 KB -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR FUFU_NRCRI_NIGERIA. JULY 2022.xls

30 sept. 2022 - Descriptive sensory analysis data for Fufu in Nigeria

MS Excel Spreadsheet - 926,0 KB -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR EBA_IITA_NIGERIA.tab

30 sept. 2022 - Descriptive sensory analysis data for Eba in Nigeria

Tabular Data - 2,4 KB - 4 Variables, 26 Observations -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR POUNDED YAM_BOWEN_NIGERIA.tab

30 sept. 2022 - Descriptive sensory analysis data for pounded yam in Nigeria

Tabular Data - 2,5 KB - 4 Variables, 26 Observations -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED CASSAVA_BENIN.tab

30 sept. 2022 - Descriptive sensory analysis data for boiled cassava roots in Benin.

Tabular Data - 2,3 KB - 4 Variables, 26 Observations -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED CASSAVA_NaCRRI_UGANDA.tab

30 sept. 2022 - Descriptive sensory analysis data for boiled cassava roots in Uganda.

Tabular Data - 2,5 KB - 4 Variables, 26 Observations -

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...

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED YAM_BENIN.tab

30 sept. 2022 - Descriptive sensory analysis data for boiled yam in Benin.

Tabular Data - 2,3 KB - 2 Variables, 27 Observations -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR BOILED SWEET POTATO_CIP_UGANDA.tab

30 sept. 2022 - Descriptive sensory analysis data for boiled sweetpotato in Uganda

Tabular Data - 2,3 KB - 4 Variables, 26 Observations -

QUANTITATIVE DESCRIPTIVE ANALYSIS DATA FOR STEAMED MATOOKE_NARL_UGANDA.tab

30 sept. 2022 - Descriptive sensory analysis data for steamed matooke in Uganda

Tabular Data - 2,3 KB - 4 Variables, 26 Observations -

RTBfoods Project(CIRAD-Centre de coopération internationale en recherche agronomique pour le développement)

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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