Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes

Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors’ preferred quality traits. Practical applications The study identified laboratory parameters that could be used as predictors of processors-preferred traits in new breeding lines with a higher possibility of adoption by processors to make commercial success products.

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Main Authors: Abass, A., Awoyale, W., Ogundapo, A.T., Oluwasoga, O., Nwaoliwe, G., Oyelekan, J., Olarinde, L.
Format: Journal Article biblioteca
Language:English
Published: Hindawi Limited 2022-03
Subjects:cassava, adoption, varieties, breeding, processing, value chain,
Online Access:https://hdl.handle.net/10568/119804
https://doi.org/10.1111/jfpp.16350
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spelling dig-cgspace-10568-1198042023-10-02T08:35:54Z Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes Abass, A. Awoyale, W. Ogundapo, A.T. Oluwasoga, O. Nwaoliwe, G. Oyelekan, J. Olarinde, L. cassava adoption varieties breeding processing value chain Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors’ preferred quality traits. Practical applications The study identified laboratory parameters that could be used as predictors of processors-preferred traits in new breeding lines with a higher possibility of adoption by processors to make commercial success products. 2022-03 2022-06-10T09:52:44Z 2022-06-10T09:52:44Z Journal Article Abass, A., Awoyale, W., Ogundapo, A.T., Oluwasoga, O., Nwaoliwe, G., Oyelekan, J. & Olarinde, L. (2022). Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes. Journal of Food Processing and Preservation, 46(3), 1-19. 0145-8892 https://hdl.handle.net/10568/119804 https://doi.org/10.1111/jfpp.16350 SOCIAL SCIENCE & AGRICUSINESS en Copyrighted; all rights reserved Limited Access 1-19 Hindawi Limited Journal of Food Processing and Preservation
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
language English
topic cassava
adoption
varieties
breeding
processing
value chain
cassava
adoption
varieties
breeding
processing
value chain
spellingShingle cassava
adoption
varieties
breeding
processing
value chain
cassava
adoption
varieties
breeding
processing
value chain
Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
description Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors’ preferred quality traits. Practical applications The study identified laboratory parameters that could be used as predictors of processors-preferred traits in new breeding lines with a higher possibility of adoption by processors to make commercial success products.
format Journal Article
topic_facet cassava
adoption
varieties
breeding
processing
value chain
author Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
author_facet Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
author_sort Abass, A.
title Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_short Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_full Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_fullStr Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_full_unstemmed Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_sort adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
publisher Hindawi Limited
publishDate 2022-03
url https://hdl.handle.net/10568/119804
https://doi.org/10.1111/jfpp.16350
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