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Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications

The data presented in this article are related to the research paper “Physicochemical parameters and functional properties of flours from advanced genotypes and improved cassava varieties for industrial applications” [1]. The genotypes were collected from a multi-location (Uniform yield Trial) trial...

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Autores principales: Chimphepo, Lifa, Alamu, Emmanuel O., Monjerezi, Maurice, Ntawuruhunga, Pheneas, Saka, John D.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411198/
https://www.ncbi.nlm.nih.gov/pubmed/34504918
http://dx.doi.org/10.1016/j.dib.2021.107332
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author Chimphepo, Lifa
Alamu, Emmanuel O.
Monjerezi, Maurice
Ntawuruhunga, Pheneas
Saka, John D.K.
author_facet Chimphepo, Lifa
Alamu, Emmanuel O.
Monjerezi, Maurice
Ntawuruhunga, Pheneas
Saka, John D.K.
author_sort Chimphepo, Lifa
collection PubMed
description The data presented in this article are related to the research paper “Physicochemical parameters and functional properties of flours from advanced genotypes and improved cassava varieties for industrial applications” [1]. The genotypes were collected from a multi-location (Uniform yield Trial) trial of the IITA breeding program in Malawi. The data were obtained using multiple analytical techniques and methodology such as oven-drying, sieving, colorimetry, titration, acid hydrolysis method, the Kjeldahl procedure, UV/VIS spectrophotometry, and centrifugation.The data set contains physicochemical parameters described dry matter (on fresh weight basis), moisture content, pH and total titratable acidy, the content of ash, bulk density; chemical properties were described by total cyanogen potential, total starch, amylose, amylopectin, crude protein and total carbohydrates; functional properties were described by swelling power, water solubility, water binding capacity and oil absorption capacity. The presented data are valuable for cassava breeders, food scientists, nutritionists, and other researchers working on breeding and processing cassava for innovative product development from cassava flour.
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spelling pubmed-84111982021-09-08 Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications Chimphepo, Lifa Alamu, Emmanuel O. Monjerezi, Maurice Ntawuruhunga, Pheneas Saka, John D.K. Data Brief Data Article The data presented in this article are related to the research paper “Physicochemical parameters and functional properties of flours from advanced genotypes and improved cassava varieties for industrial applications” [1]. The genotypes were collected from a multi-location (Uniform yield Trial) trial of the IITA breeding program in Malawi. The data were obtained using multiple analytical techniques and methodology such as oven-drying, sieving, colorimetry, titration, acid hydrolysis method, the Kjeldahl procedure, UV/VIS spectrophotometry, and centrifugation.The data set contains physicochemical parameters described dry matter (on fresh weight basis), moisture content, pH and total titratable acidy, the content of ash, bulk density; chemical properties were described by total cyanogen potential, total starch, amylose, amylopectin, crude protein and total carbohydrates; functional properties were described by swelling power, water solubility, water binding capacity and oil absorption capacity. The presented data are valuable for cassava breeders, food scientists, nutritionists, and other researchers working on breeding and processing cassava for innovative product development from cassava flour. Elsevier 2021-08-28 /pmc/articles/PMC8411198/ /pubmed/34504918 http://dx.doi.org/10.1016/j.dib.2021.107332 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Chimphepo, Lifa
Alamu, Emmanuel O.
Monjerezi, Maurice
Ntawuruhunga, Pheneas
Saka, John D.K.
Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title_full Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title_fullStr Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title_full_unstemmed Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title_short Data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
title_sort data on assessment of flours from advanced genotypes and improved cassava varieties for industrial applications
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411198/
https://www.ncbi.nlm.nih.gov/pubmed/34504918
http://dx.doi.org/10.1016/j.dib.2021.107332
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