Physico-chemical and nutritional characteristics of 12 varieties of cassava (Manihot esculenta Crantz, 1766) grown in the Republic of Guinea

Cassava is a distinctive contributor to food security and a source of income for smallholder farmers. Despite the importance of this agricultural product, very little data is available in Guinea, especially concerning the varieties grown and their nutritional composition. The aim of this research was to study the physico-chemical and nutritional characteristics of 12 varieties of cassava grown in Guinea with a view to selecting varieties that could be used to produce a <<Gari>> of better quality. Cassava tubers were collected in 6 regions in Guinea. The physico-chemical analyses were carried out on the pH and moisture content of the cassava paste from each of the 12 varieties, while the nutritional quality was determined on the basis of the composition of the varieties in carbohydrates, proteins, lipids and minerals. In general, pH values ranged from 6.29 to 7.29 while moisture levels ranged from 51.64% to 58.94%. In addition, all the varieties analysed were those rich in carbohydrates (with levels between 42.36% and 51.17%) but low in fat (values between 0.30% and 3.56%). On the other hand, three varieties, namely Farawoulen, Konko and Samouya, are the richest in protein with values of 8.05%, 5.48% and 4.23% respectively. In short, these cassava varieties produced in Guinea could be used, taking into account their biochemical composition, in future gari production work.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-30
DOI
https://doi.org/10.5281/zenodo.14935138
Primary Topic
Cassava research and cyanide
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physico-chemical and nutritional characteristics of 12 varieties of cassava (Manihot esculenta Crantz, 1766) grown in the Republic of Guinea

Zenodo (CERN European Organization for Nuclear Research)
Cassava research and cyanide
article

Physico-chemical and nutritional characteristics of 12 varieties of cassava (Manihot esculenta Crantz, 1766) grown in the Republic of Guinea

article en

Abstract

Cassava is a distinctive contributor to food security and a source of income for smallholder farmers. Despite the importance of this agricultural product, very little data is available in Guinea, especially concerning the varieties grown and their nutritional composition. The aim of this research was to study the physico-chemical and nutritional characteristics of 12 varieties of cassava grown in Guinea with a view to selecting varieties that could be used to produce a <<Gari>> of better quality. Cassava tubers were collected in 6 regions in Guinea. The physico-chemical analyses were carried out on the pH and moisture content of the cassava paste from each of the 12 varieties, while the nutritional quality was determined on the basis of the composition of the varieties in carbohydrates, proteins, lipids and minerals. In general, pH values ranged from 6.29 to 7.29 while moisture levels ranged from 51.64% to 58.94%. In addition, all the varieties analysed were those rich in carbohydrates (with levels between 42.36% and 51.17%) but low in fat (values between 0.30% and 3.56%). On the other hand, three varieties, namely Farawoulen, Konko and Samouya, are the richest in protein with values of 8.05%, 5.48% and 4.23% respectively. In short, these cassava varieties produced in Guinea could be used, taking into account their biochemical composition, in future gari production work.

Zenodo (CERN European Organization for Nuclear Research)
DSM (Netherlands) (NL), Gamal Abdel Nasser University of Conakry (GN), Institut de Recherche Agronomique de Guinée (GN), Université Félix Houphouët-Boigny (CI)
Zero hunger
Openalex Percentile: Top 81%
Cassava research and cyanide
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.